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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns="http://purl.org/rss/1.0/"><channel rdf:about="http://www.clinicalimaging.org/?rss=yes"><title>Clinical Imaging</title><description>Clinical Imaging RSS feed: Current Issue. 
 Clinical Imaging  provides comprehensive coverage of new technology, new applications, and important issues concerning all diagnostic 
imaging methods. Under the editorship of Joseph P. Whalen, M.D.,  Clinical Imaging  explores the relative merits of established 
and developing diagnostic imaging technology, with regard to cost effectiveness, safety, and propriety where specific disorders and physiological 
systems are concerned.
The journal publishes: 
 • Original articles – peer–reviewed reports of new clinical developments

 
 • "Radiology Pathology Conference" features – a brief clinical history with physical findings, followed by a discussion 
of the radiologic imagings with a detailed correlation of the pathological findings 
 • Review articles – an overview of 
a key topic, with an invited editorial on the same subject 
 • Case reports – limited to important new observations 
 • 
Abstracts – summaries of significant papers in related journals 
 • Book Reviews 
 From ultrasound to MRI,  Clinical 
Imaging  provides essential information for radiologists, radiology residents, and radiologic technologists.</description><link>http://www.clinicalimaging.org/?rss=yes</link><dc:publisher>Elsevier Inc.</dc:publisher><dc:language>en</dc:language><dc:rights> © 2010 Published by Elsevier Inc. All rights reserved. </dc:rights><prism:publicationName>Clinical Imaging</prism:publicationName><prism:issn>0899-7071</prism:issn><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:publicationDate>January 2010</prism:publicationDate><prism:copyright> © 2010 Published by Elsevier Inc. All rights reserved. </prism:copyright><prism:rightsAgent>healthpermissions@elsevier.com</prism:rightsAgent><items><rdf:Seq><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109003519/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000874/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS089970710900059X/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000576/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109001089/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000916/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000539/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000588/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000904/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109001119/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000849/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109000850/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109001090/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109001181/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002642/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002654/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002678/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS089970710900268X/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002666/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002848/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS089970710900285X/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002861/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002873/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002885/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002897/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002903/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002915/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002927/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002939/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002940/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002952/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109002964/abstract?rss=yes"/><rdf:li rdf:resource="http://www.clinicalimaging.org/article/PIIS0899707109003039/abstract?rss=yes"/></rdf:Seq></items></channel><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109003519/abstract?rss=yes"><title>Contents</title><link>http://www.clinicalimaging.org/article/PIIS0899707109003519/abstract?rss=yes</link><description></description><dc:title>Contents</dc:title><dc:creator></dc:creator><dc:identifier>10.1016/S0899-7071(09)00351-9</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section></prism:section><prism:startingPage>i</prism:startingPage><prism:endingPage>ii</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000874/abstract?rss=yes"><title>Primary angiitis of the central nervous system: apparent diffusion coefficient lesion analysis</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000874/abstract?rss=yes</link><description>Abstract: Apparent diffusion coefficients (ADCs) of the brain lesions in primary angiitis of the central nervous system (PACNS) patients were analyzed in this study. The mean ADC ratios for acute/subacute phase lesions were significantly lower than that for chronic phase lesions. However, some acute/subacute phase lesions had elevated ADCs and these lesions disappeared overtime, implicating a nonischemic mechanism in PACNS.</description><dc:title>Primary angiitis of the central nervous system: apparent diffusion coefficient lesion analysis</dc:title><dc:creator>Matthew L. White, Yan Zhang</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.007</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-05-12</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-05-12</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>1</prism:startingPage><prism:endingPage>6</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS089970710900059X/abstract?rss=yes"><title>Textures in magnetic resonance images of the ischemic rat brain treated with an anti-inflammatory agent</title><link>http://www.clinicalimaging.org/article/PIIS089970710900059X/abstract?rss=yes</link><description>Abstract: Computer-based analysis of textures in magnetic resonance images provides a higher sensitivity to textural changes that cannot be recognized by the naked human eye. Thus, there is a better potential for identifying pathophysiological processes at an earlier stage or of a different character than even a trained radiologist can find. In the present study, the potential of texture analysis for in vivo identification of the administering effect of an anti-inflammatory drug in cerebral stroke in rats was evaluated.Twenty-seven Wistar rats underwent middle cerebral artery occlusion resulting in local ischemic brain infarct. One group of rats received alpha-melanocyte stimulating hormone (α-MSH) and a control group received saline only. T2-weighted images, apparent diffusion maps, and T2 maps were recorded by MR. Texture features were calculated in the T2-weighted images and correlated to the apparent diffusion coefficient (ADC) and the T2 values. From an array of tested texture features three independent features were tested further. Two of which were found to provide a significant discriminative classification between the control and the α-MSH groups. Furthermore, the same two texture features were significantly correlated to the ADCs. Thus, quantification of texture features can be helpful in detecting the effects of stroke therapy.</description><dc:title>Textures in magnetic resonance images of the ischemic rat brain treated with an anti-inflammatory agent</dc:title><dc:creator>Gang Chen, Michal Strzelecki, Qi Pang, Hyongsuk Kim, Hans Stødkilde-Jørgensen</dc:creator><dc:identifier>10.1016/j.clinimag.2009.02.004</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-05-05</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-05-05</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>7</prism:startingPage><prism:endingPage>13</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000576/abstract?rss=yes"><title>Diagnosis of breast cancer with multidetector computed tomography: analysis of optimal delay time after contrast media injection</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000576/abstract?rss=yes</link><description>Abstract: Purpose: The aim of this study was to investigate the optimal delay time after a contrast media injection for multidetector computed tomography (MD-CT) images in the diagnosis of breast cancer patients.Materials and Methods: Thirty-one patients who underwent MD-CT for their preoperative examination and who had postoperatively confirmed pathology were enrolled. Four-phase images of dynamic contrast enhanced study were acquired using four-detector MDCT. All cases were mammographically classified into two groups according to BI-RADS: nondense and dense groups. The CT value of the background mammary gland, background breast enhancement (BBE), and tumor-background mammary gland contrast (TBC) were compared between the two groups.Results: The CT value of the dense group was significantly higher than that of the nondense group in all phases. BBE in both nondense and dense groups showed no significant differences in any of the phases. In the nondense group, TBC was significantly higher in both the second and the third phases than in the first phase, while in the dense group, TBC was significantly higher in the second phase than in the first and third phases.Conclusion: The optimal delay time to depict breast cancer is 80 s after a contrast media injection, regardless of the density level of the background mammary gland.</description><dc:title>Diagnosis of breast cancer with multidetector computed tomography: analysis of optimal delay time after contrast media injection</dc:title><dc:creator>Seiko Kuroki-Suzuki, Yoshifumi Kuroki, Tsutomu Ishikawa, Hideya Takeo, Noriyuki Moriyama</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.004</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-05-20</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-05-20</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>14</prism:startingPage><prism:endingPage>19</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109001089/abstract?rss=yes"><title>Detection of nodal metastatic disease in patients with non-small cell lung cancer: comparison of positron emission tomography (PET), contrast-enhanced computed tomography (CT), and combined PET-CT</title><link>http://www.clinicalimaging.org/article/PIIS0899707109001089/abstract?rss=yes</link><description>Abstract: Of 31 patients with lung cancer, 19 underwent PET-CT and 12 had CT followed by PET. Thoracic lymph nodes were sampled by mediastinoscopy or thoracotomy. Sensitivities, specificities, positive (PPV), and negative predictive values (NPV) were calculated based on histopathology. Ninety nodes (41 malignant) were identified. Sensitivity, specificity, PPV, and NPV were 94%, 73%, 66%, and 96% for PET-CT, respectively. In 12 patients who underwent PET and CT separately, these values were 90%, 31%, 64%, and 71% for PET and 81%, 50%, 69%, and 66% for CT, respectively.</description><dc:title>Detection of nodal metastatic disease in patients with non-small cell lung cancer: comparison of positron emission tomography (PET), contrast-enhanced computed tomography (CT), and combined PET-CT</dc:title><dc:creator>Elisa Ventura, Tina Islam, Michael S. Gee, Umar Mahmood, Marta Braschi, Mukesh G. Harisinghani</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.012</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-06-10</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-06-10</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>20</prism:startingPage><prism:endingPage>28</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000916/abstract?rss=yes"><title>Measurement of MRI enhancement kinetics for evaluation of inflammatory activity in Crohn's disease</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000916/abstract?rss=yes</link><description>Abstract: Purpose: To investigate the feasibility of determining local inflammatory activity of Crohn's disease by measurement of bowel wall perfusion kinetics using contrast-enhanced magnetic resonance imaging (MRI).Material and methods: Twenty-six patients with histologically proven Crohn's disease who underwent magnetic resonance (MR) enteroclysis at 1.5 T were included in this retrospective study. Over 109 s, 150 images were acquired with a fat-saturated coronal T1-weighted 2D gradient echo sequence (TR, 9 ms; TE, 1.5 ms) during intravenous contrast administration by means of a pump (Magnevist, 0.2 ml/kg, flow 3 ml/s). On each image, signal intensity was measured in a region of interest placed in an area of maximum thickening of the inflamed bowel wall. Enhancement kinetics were correlated with the endoscopically determined severity of inflammatory activity (on a scale of 0–3).Results: The slope of the contrast enhancement curve significantly correlated with local inflammatory activity determined by endoscopy (R=0.594, P=.007). No significant correlation was found for area under the curve and peak maximum (R=0.411, P=.08 and R=0.334, P=.15, respectively).Conclusion: Determination of the perfusion kinetics of the bowel wall by MRI enables quantitative evaluation of local inflammatory activity in patients with Crohn's disease.</description><dc:title>Measurement of MRI enhancement kinetics for evaluation of inflammatory activity in Crohn's disease</dc:title><dc:creator>Rainer Röttgen, Thomas Grandke, Christian Grieser, Lukas Lehmkuhl, Bernd Hamm, Lutz Lüdemann</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.008</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-05-14</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-05-14</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>29</prism:startingPage><prism:endingPage>35</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000539/abstract?rss=yes"><title>Comparison between vascular cast and three-dimensional ultrasonography on tumor vessels</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000539/abstract?rss=yes</link><description>Abstract: Aim: The aim of this study was to characterize the morphology of renal tumor vessels.Methods: Twenty-two patients with kidney neoplasm underwent three-dimensional reconstruction prior to surgery. The vascular cast of kidney specimens was obtained after surgery.Results: The vascular cast revealed proliferation, thickening, compression, displacement, and arteriovenous fistulae in tumor vessels, which were consistent with the findings from 3-D ultrasound (χ2=12.60, P&lt;.01).Conclusion: Most renal cellular carcinomas are rich blood-supplied tumors with distinctive vasculature in the tumor region.</description><dc:title>Comparison between vascular cast and three-dimensional ultrasonography on tumor vessels</dc:title><dc:creator>Xiu-Yun Wang, Shou-Xin Zhang, Xiao-Ming Ning, Xiu-Hua Yang, Bei Sun, Ying Deng, Bao-Zhong Shen</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.002</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-04-16</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-04-16</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>36</prism:startingPage><prism:endingPage>42</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000588/abstract?rss=yes"><title>Are transition zone biopsies necessary in transrectal ultrasound-guided transperineal prostate biopsy protocol? Results of a Chinese population-based study</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000588/abstract?rss=yes</link><description>Abstract: Purpose: The purpose of this study was to determine the utility of routine transperineal transition zone (TZ) biopsies.Materials and Methods: A total of 1028 consecutive patients underwent transrectal ultrasound-guided prostate biopsies for the first time. Sextant biopsies and additional two-core TZ biopsies were performed.Results: Prostate cancer detection rate was increased by sampling two additional cores from TZ.Conclusions: Transition zone biopsies might be reserved to improve the detection rate of prostate cancer in transperineal biopsy protocol.</description><dc:title>Are transition zone biopsies necessary in transrectal ultrasound-guided transperineal prostate biopsy protocol? Results of a Chinese population-based study</dc:title><dc:creator>Zhu Yunkai, Chen Yaqing, Wang Ren, Zhou Yongchang</dc:creator><dc:identifier>10.1016/j.clinimag.2009.02.003</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-05-05</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-05-05</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>43</prism:startingPage><prism:endingPage>46</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000904/abstract?rss=yes"><title>Proton magnetic resonance spectroscopy of musculoskeletal lesions at 3 T with metabolite quantification</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000904/abstract?rss=yes</link><description>Abstract: Purpose: To evaluate whether proton MR spectroscopy (MRS) at 3 T with metabolite quantification is helpful for characterizing musculoskeletal lesions and to reveal whether the concentration of choline is correlated with the pathologic degree of malignancy.Material and methods: Three-tesla MR images and proton MRS data from 27 consecutive patients with surgically proven musculoskeletal lesions were retrospectively analyzed. We analyzed the presence of choline peaks of malignant tumors according to the degree of malignancies, and we compared them with those of benign lesions. The concentrations of choline calculated by means of the linear combination of model spectra were also compared with respect to the degree of malignancy in each group.Results: The proton MRS had an overall sensitivity of 68.4%, specificity of 87.5%, positive predictive value of 92.3%, and negative predictive value of 53.8% for the detection of choline compounds. The positive detection rate for choline compounds in the primary malignancy group (53.8%) was lower than that of the metastasis group (100%). All false-negative results were shown in the Grade 1 primary malignancy group. There was no difference in the concentration of choline compounds with respect to the pathologic degree of differentiation.Conclusion: MR spectroscopy at 3 T with metabolite quantification is a helpful method that shows high specificity (87.5%) in characterizing musculoskeletal lesions, even though its sensitivity (68.4%) is relatively low. Grade 1 primary malignancies of bone and soft tissue tumor have a high potential for producing false-negative results.</description><dc:title>Proton magnetic resonance spectroscopy of musculoskeletal lesions at 3 T with metabolite quantification</dc:title><dc:creator>Chan Wha Lee, Joo-Hyuk Lee, Dae Hong Kim, Hye Sook Min, Byung-Kiu Park, Hwan Sung Cho, Hyun Guy Kang, Jin-Suck Suh, Shigeru Ehara</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.013</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-06-05</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-06-05</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Original Articles</prism:section><prism:startingPage>47</prism:startingPage><prism:endingPage>52</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109001119/abstract?rss=yes"><title>Systemic air embolism detected during percutaneous transthoracic needle biopsy: report of two cases and a proposal for a routine postprocedure computed tomography scan of the aorto-cardiac region</title><link>http://www.clinicalimaging.org/article/PIIS0899707109001119/abstract?rss=yes</link><description>Abstract: Systemic air embolism is a rare but potentially fatal complication of percutaneous transthoracic biopsy. Herein, we report two cases of nonfatal air embolism that occurred during a computed tomography (CT)-guided lung biopsy. It can be concluded that postprocedure CT scans of the aorto-cardiac region and attention focused on systemic air on CT scan images during biopsy procedures can be helpful for early recognition of the complication, a step that is important for successful treatment.</description><dc:title>Systemic air embolism detected during percutaneous transthoracic needle biopsy: report of two cases and a proposal for a routine postprocedure computed tomography scan of the aorto-cardiac region</dc:title><dc:creator>Hsueh-Li Kuo, Lili Cheng, Ta-Jung Chung</dc:creator><dc:identifier>10.1016/j.clinimag.2009.05.001</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-06-22</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-06-22</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Case Reports</prism:section><prism:startingPage>53</prism:startingPage><prism:endingPage>56</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000849/abstract?rss=yes"><title>Multiple gastrointestinal stromal tumors in a patient with type I neurofibromatosis presenting with tumor rupture and peritonitis</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000849/abstract?rss=yes</link><description>Abstract: A young woman with type 1 neurofibromatosis (NF-1) complained of abdominal pain for 3 days. Computed tomography disclosed two jejunal tumors with rupture and peritonitis. Surgery revealed two tumors in the jejunum, one of which was ruptured. Specimen examination found four additional intramural nodules between these tumors. Histology proved these tumors were all gastrointestinal stromal tumors (GIST). The finding of multiple digestive tumors associated with peritonitis in an NF-1 patient should lead to the consideration of a ruptured GIST.</description><dc:title>Multiple gastrointestinal stromal tumors in a patient with type I neurofibromatosis presenting with tumor rupture and peritonitis</dc:title><dc:creator>Ming-Chang Ku, Chung-Ming Tsai, Yeu-Sheng Tyan</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.005</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-05-25</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-05-25</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Case Reports</prism:section><prism:startingPage>57</prism:startingPage><prism:endingPage>59</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109000850/abstract?rss=yes"><title>Assessment of the ablated area after radiofrequency ablation by contrast-enhanced sonography; comparison with virtual sonography with magnetic navigation</title><link>http://www.clinicalimaging.org/article/PIIS0899707109000850/abstract?rss=yes</link><description>Abstract: This study investigated whether contrast-enhanced sonography can accurately predict the ablated area by radiofrequency ablation using virtual sonography by computed tomography as a gold standard.Thirty-one hepatocellular carcinoma nodules were treated by radiofrequency ablation and then examined. The defect of contrast-enhanced sonography (puncture direction: r=.868, P&lt;.0001; perpendicular direction; r=.925, P&lt;.0001) was closely correlated with the unenhanced area of virtual sonography.Contrast-enhanced sonography can be used for early and accurate prediction of the ablated area and is helpful for assessing local control of radiofrequency ablation.</description><dc:title>Assessment of the ablated area after radiofrequency ablation by contrast-enhanced sonography; comparison with virtual sonography with magnetic navigation</dc:title><dc:creator>Masahiko Koda, Mari Mandai, Tomomitu Matono, Takaaki Sugihara, Takakazu Nagahara, Masaru Ueki, Kenji Ohyama, Keiko Hosho, Yoshikazu Murawaki</dc:creator><dc:identifier>10.1016/j.clinimag.2009.03.006</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-05-22</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-05-22</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Case Reports</prism:section><prism:startingPage>60</prism:startingPage><prism:endingPage>64</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109001090/abstract?rss=yes"><title>Angiomyolipoma with epithelial cysts: mimic of renal cell carcinoma</title><link>http://www.clinicalimaging.org/article/PIIS0899707109001090/abstract?rss=yes</link><description>Abstract: Angiomyolipoma with epithelial cysts (AMLEC) is a rare variant of angiomyolipoma with minimal fat that contains epithelial-lined cysts and may mimic a cystic renal cell carcinoma. While 17 cases have been described in the pathology literature since this entity was first described in 2006, the radiologic appearance was not demonstrated in any of these cases. We report the CT and MRI appearance of AMLEC found incidentally in a patient with lupus nephritis.</description><dc:title>Angiomyolipoma with epithelial cysts: mimic of renal cell carcinoma</dc:title><dc:creator>Andrew B. Rosenkrantz, Elizabeth M. Hecht, Samir S. Taneja, Jonathan Melamed</dc:creator><dc:identifier>10.1016/j.clinimag.2009.04.026</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-06-22</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-06-22</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Case Reports</prism:section><prism:startingPage>65</prism:startingPage><prism:endingPage>68</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109001181/abstract?rss=yes"><title>Renal vein thrombosis and asymptomatic massive pulmonary embolism: case presentation and diagnostic recommendations</title><link>http://www.clinicalimaging.org/article/PIIS0899707109001181/abstract?rss=yes</link><description>Abstract: Isolated renal vein thrombosis is a rare radiographic finding. We present a patient whose complaint of flank pain led to the diagnosis of a renal vein thrombosis and uncovered massive pulmonary emboli. In this case, computed tomography (CT) of the chest was helpful in diagnosing the pulmonary emboli that were asymptomatic and allowed clinical management to be properly directed.</description><dc:title>Renal vein thrombosis and asymptomatic massive pulmonary embolism: case presentation and diagnostic recommendations</dc:title><dc:creator>Adam C. Adler, Leon Adler</dc:creator><dc:identifier>10.1016/j.clinimag.2009.04.027</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-07-16</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-07-16</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Case Reports</prism:section><prism:startingPage>69</prism:startingPage><prism:endingPage>72</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002642/abstract?rss=yes"><title>Case reports</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002642/abstract?rss=yes</link><description></description><dc:title>Case reports</dc:title><dc:creator></dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.001</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-12-03</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-12-03</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Case Reports</prism:section><prism:startingPage>73</prism:startingPage><prism:endingPage>73</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002654/abstract?rss=yes"><title></title><link>http://www.clinicalimaging.org/article/PIIS0899707109002654/abstract?rss=yes</link><description>This book on Brain Imaging, part of the Case Review Series, is not a “classic” treatise on neuroradiology but rather a manual in which, as in a quiz, following the presentation of the case, it offers a brief review of the various pathologic processes which are going to be discussed. The aim of the author is to test the experience of readers, and at the same time if necessary, recommend furthering their radiological knowledge. However, for a more complete evaluation of each neurological pathological disorder, it is recommended that readers consult books in which the imaging and features of the brain are presented in the classic didactic format. This is true in particular for those who are entering the field of neuroradiology.</description><dc:title></dc:title><dc:creator>Maja Ukmar</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.002</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-12-03</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-12-03</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Book Reviews</prism:section><prism:startingPage>74</prism:startingPage><prism:endingPage>74</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002678/abstract?rss=yes"><title></title><link>http://www.clinicalimaging.org/article/PIIS0899707109002678/abstract?rss=yes</link><description>It is a pleasure to write a review of this book, which embodies the impressive work that the authors had put in compiling, in a clear and exhaustive manner, all the information regarding the imaging of the pathology involving the breast.</description><dc:title></dc:title><dc:creator>Manuela La Grassa</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.004</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-11-26</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-11-26</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Book Reviews</prism:section><prism:startingPage>74</prism:startingPage><prism:endingPage>75</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS089970710900268X/abstract?rss=yes"><title></title><link>http://www.clinicalimaging.org/article/PIIS089970710900268X/abstract?rss=yes</link><description>Recently, we have seen an increase in the publication of “case-based” textbooks of radiology, presenting a series of clinical cases, each one with clinical and radiological findings typical of the disease discussed and arranged along with their degree of complexity or grouped along with the different chapters of pathology. At times the authors use the technique of the quiz, by presenting a series of radiological findings and asking for the diagnosis, which is often given with a discussion in the facing page. It seems that a book in which the radiological features of a pathology are dealt in its details and in a systemic method, according to the nature of the disease, and the organs involved is becoming rather rare. One wonders whether this type of textbook is out of favor by the readers and, therefore, by the publishers. Maybe there are too many medical books in the scientific libraries.</description><dc:title></dc:title><dc:creator>Sandro Morassut</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.005</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-12-03</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-12-03</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Book Reviews</prism:section><prism:startingPage>75</prism:startingPage><prism:endingPage>76</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002666/abstract?rss=yes"><title></title><link>http://www.clinicalimaging.org/article/PIIS0899707109002666/abstract?rss=yes</link><description>This book of 240 pages and 220 illustrations, of which 50 are in color, is divided into two sections: the first deals with the actual state of imaging of arthritis by US, CT, MRI, and scintigraphy with FDG PT; in the second section, about 60 pages, the future of imaging by MR with new techniques and molecular imaging is discussed.</description><dc:title></dc:title><dc:creator>Anne Grimaud</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.003</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-12-03</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-12-03</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Book Reviews</prism:section><prism:startingPage>76</prism:startingPage><prism:endingPage>76</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002848/abstract?rss=yes"><title>Differential diagnosis of dumbbell lesions associated with spinal neural foraminal widening: imaging features</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002848/abstract?rss=yes</link><description>Computed tomography (CT) and magnetic resonance imaging (MRI) reliably demonstrate typical features of schwannomas or neurofibromas in the vast majority of dumbbell lesions responsible for neural foraminal widening. However, a large variety of unusual lesions which are causes of neural foraminal widening can also be encountered in the spinal neural foramen. Radiologic findings can be helpful in differential diagnosis of lesions of spinal neural foramen including neoplastic lesions such as benign/malign peripheral nerve sheath tumors (PNSTs), solitary bone plasmacytoma (SBP), chondroid chordoma, superior sulcus tumor, metastasis, and nonneoplastic lesions such as infectious process (tuberculosis, hydatid cyst), aneurysmal bone cyst (ABC), synovial cyst, traumatic pseudomeningocele, arachnoid cyst, vertebral artery tortuosity. In this article, we discuss CT and MRI findings of dumbbell lesions which are causes of neural foraminal widening.</description><dc:title>Differential diagnosis of dumbbell lesions associated with spinal neural foraminal widening: imaging features</dc:title><dc:creator>A. Sami Kivrak, O. Koc, D. Emlik, D. Kiresi, K. Odev, E. Kalkan</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.021</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>77</prism:startingPage><prism:endingPage>77</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS089970710900285X/abstract?rss=yes"><title>Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound</title><link>http://www.clinicalimaging.org/article/PIIS089970710900285X/abstract?rss=yes</link><description>Our aim was to investigate the diagnostic potential of an automated ultrasound (US) breast scanner prototype and compare it with manual US and mammography.   Ninety-seven patients with a total of 107 breast lesions had mammograms, manual US, and an automated breast US scan. Multiplanar reconstructions in coronal, axial, and sagittal view were reconstructed from the automated dataset and visualized. After biopsy, all lesions were confirmed histologically. The data were evaluated according to the Breast Imaging Reporting and Data System (BIRADS) classification. The sensitivity and specificity were analyzed.</description><dc:title>Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound</dc:title><dc:creator>D. Kotsianos-Hermle, K.M. Hiltawsky, S. Wirth, T. Fischer, K. Friese, M. Reiser</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.022</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>77</prism:startingPage><prism:endingPage>77</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002861/abstract?rss=yes"><title>Breast MRI: are T2 IR sequences useful in the evaluation of breast lesions?</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002861/abstract?rss=yes</link><description>To evaluate the potential role of signal intensities calculated in T2 images as an adjunctive parameter in the analysis of mass-like enhancements classified as Breast Imaging Reporting and Data System (BIRADS) assessment categories 2, 3, 4, or 5 with the standard T1 criteria.</description><dc:title>Breast MRI: are T2 IR sequences useful in the evaluation of breast lesions?</dc:title><dc:creator>L. Ballesio, S. Savelli, M. Angeletti, L.M. Porfiri, L. D'Ambrosio, C. Maggi, E. Dicastro, P. Bennati, G.P. Fanelli, A.R. Vestri, L. Manganaro</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.023</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>77</prism:startingPage><prism:endingPage>77</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002873/abstract?rss=yes"><title>Correlation between quantified breast densities from digital mammography and 18F-FDG PET uptake</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002873/abstract?rss=yes</link><description>To correlate breast density quantified from digital mammograms with mean and maximum standardized uptake values (SUVs) from positron emission tomography (PET). This was a prospective study that included 56 women with a history of suspicion of breast cancer (mean age 49.2±9.3 years), who underwent 18F-fluoro-2-deoxyglucose (FDG)-PET imaging of their breasts as well as digital mammography. A computer thresholding algorithm was applied to the contralateral nonmalignant breasts to quantitatively estimate the breast density on digital mammograms. The breasts were also classified into one of four Breast Imaging Reporting and Data System categories for density. Comparisons between SUV and breast density were made using linear regression and the Student's t test. Linear regression of mean SUV vs. average breast density showed a positive relationship with a Pearson's correlation coefficient of R2=0.83. The quantified breast densities and mean SUVs were significantly greater for mammographically dense than nondense breasts (P&lt;.0001 for both). The average quantified densities and mean SUVs of the breasts were significantly greater for premenopausal than for postmenopausal patients (P&lt;.05). Eight (16%) of 51 patients had maximum SUVs that equaled 1.6 or greater. There is a positive linear correlation between quantified breast density on digital mammography and FDG uptake on PET. Menopausal status affects the metabolic activity of normal breast tissue, resulting in higher SUVs in pre- vs. postmenopausal patients.</description><dc:title>Correlation between quantified breast densities from digital mammography and 18F-FDG PET uptake</dc:title><dc:creator>P. Lakhani, A.D.A. Maidment, S.P. Weinstein, J.W. Kung, A. Alavi</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.024</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>77</prism:startingPage><prism:endingPage>78</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002885/abstract?rss=yes"><title>Coronary CTA evaluation of the relationship between mitral valve annulus and coronary circulation: implications for percutaneous mitral annuloplasty [in French]</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002885/abstract?rss=yes</link><description>To evaluate anatomical relationships between mitral annulus (MA), coronary arteries, and coronary sinus (CS) in two groups of patients with and without moderate mitral insufficiency on coronary CTA to identify candidates for percutaneous mitral valve annuloplasty via the coronary sinus without risk of coronary artery occlusion.</description><dc:title>Coronary CTA evaluation of the relationship between mitral valve annulus and coronary circulation: implications for percutaneous mitral annuloplasty [in French]</dc:title><dc:creator>K. Warin-Fresse, J. Isnard, P. Guérin, J.M. N'Guyen, A. Bammert, D.C. Crochet</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.025</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>78</prism:startingPage><prism:endingPage>78</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002897/abstract?rss=yes"><title>Myocardial delayed contrast enhancement in patients with arterial hypertension: initial results of cardiac MRI</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002897/abstract?rss=yes</link><description>In arterial hypertension, left ventricular hypertrophy comprises myocyte hypertrophy, interstitial fibrosis, and structural alterations of the coronary microcirculation. MRI enables the detection of myocardial fibrosis, infarction, and scar tissue by delayed enhancement (DE) after contrast media application.</description><dc:title>Myocardial delayed contrast enhancement in patients with arterial hypertension: initial results of cardiac MRI</dc:title><dc:creator>K. Andersen, M. Hennersdorf, M. Cohnen, D. Blondin, U. Mödder, L.W. Poll</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.026</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>78</prism:startingPage><prism:endingPage>78</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002903/abstract?rss=yes"><title>Chronic thromboembolic pulmonary hypertension: evaluation with 64-detector row CT vs. digital subtraction angiography</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002903/abstract?rss=yes</link><description>The aim of the study was to evaluate the role of 64-detector row CT in the diagnostic workup of patients with chronic thromboembolic pulmonary hypertension (CTEPH) using digital subtraction angiography (DSA) as the method of diagnostic reference. CT and DSA studies of 27 patients (54 main, 162 lobar, and 540 segmental arteries) with a clinical suspicion of CTEPH were included in this retrospective and blinded analysis. Axial images and multiplanar thin maximum intensity projections (MIPs) (3 mm) were consequently used for exact image interpretation, whereas additional reconstructed thick MIPs gave an overview of the entire vascular tree comparable to DSA. Sensitivity and specificity of CT regarding CTEPH-related pathological changes in general were 98.3% and 94.8% at the main/lobar level and 94.1% and 92.9% at the segmental level, respectively. Sensitivity and specificity of CT regarding the different pathological criteria of CTEPH (complete obstruction, intimal irregularities, bands and webs, indirect signs) were 88.9–100% and 96.1–100% at the main/lobar level and 84.3–90.5% and 92–98.7% at the segmental level, respectively. Our results show that CT is an accurate and reliable noninvasive alternative to conventional DSA in the diagnostic workup in patients with CTEPH.</description><dc:title>Chronic thromboembolic pulmonary hypertension: evaluation with 64-detector row CT vs. digital subtraction angiography</dc:title><dc:creator>A. Reichelt, M.M. Hoeper, M. Galanski, M. Keberle</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.027</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>78</prism:startingPage><prism:endingPage>78</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002915/abstract?rss=yes"><title>Multidetector helical CT in the evaluation of acute small bowel obstruction: comparison of nonenhanced (no oral, rectal, or IV contrast) and IV enhanced CT</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002915/abstract?rss=yes</link><description>To compare the accuracy of nonenhanced CT (NECT) (no oral or IV contrast) and enhanced CT (ECT) (IV enhanced only) to diagnose small bowel obstruction and evaluate reviewer's experience impact.</description><dc:title>Multidetector helical CT in the evaluation of acute small bowel obstruction: comparison of nonenhanced (no oral, rectal, or IV contrast) and IV enhanced CT</dc:title><dc:creator>M. Atri, C. McGregor, M. McInnes, N. Power, K. Rahnavardi, C. Law, A. Kiss</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.028</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>78</prism:startingPage><prism:endingPage>79</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002927/abstract?rss=yes"><title>Hepatic epithelioid hemangioendothelioma: review of three cases</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002927/abstract?rss=yes</link><description>Hepatic epithelioid hemangioendothelioma (EHE) is a rare neoplasm of vascular origin. EHE is an intermediate-grade malignancy, between benign hemangioma and angiosarcoma, with variable aggressiveness. Involvement often is multinodular, simulating metastases from a primary extrahepatic malignancy leading to delays in diagnosis. We report the imaging features in three cases of histologically proven hepatic EHE. The imaging features suggestive of EHE will be emphasized, especially for multinodular lesions suggesting liver metastases in patients with no known primary extrahepatic malignancy.</description><dc:title>Hepatic epithelioid hemangioendothelioma: review of three cases</dc:title><dc:creator>A. Askri, S. Mannai, S. Landolsi, L. Ben Farhart, W. Said, N. Dali, M.T. Khalfallah, L. Hendaoni</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.029</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>79</prism:startingPage><prism:endingPage>79</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002939/abstract?rss=yes"><title>Imaging features of portal biliopathy. Frequency of involvement patterns with emphasis on MRCP</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002939/abstract?rss=yes</link><description>To investigate the imaging features of portal biliopathy with emphasis on MR cholangiopancreatography (MRCP). The ancillary vascular findings of portal biliopathy were also evaluated by accompanying MR portography, dynamic contrast-enhanced (CE) CT, and dynamic CE MRI studies.</description><dc:title>Imaging features of portal biliopathy. Frequency of involvement patterns with emphasis on MRCP</dc:title><dc:creator>E. Özkavukcu, A. Erden, I. Erden</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.030</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>79</prism:startingPage><prism:endingPage>79</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002940/abstract?rss=yes"><title>Macrocystic pancreatic lesions: differentiation of benign from premalignant and malignant cysts by CT</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002940/abstract?rss=yes</link><description>To assess useful CT features for differentiating benign from premalignant and malignant macrocystic pancreatic lesions.   Seventy-four patients with pathologically proven macrocystic pancreatic lesions were enrolled: 17 benign cysts (macrocystic serous cystadenoma, n=12; congenital cyst; n=5) and 57 premalignant and malignant cysts (mucinous cystic neoplasm, n=28; intraductal papillary mucinous neoplasm of branch duct type, n=20; tumor with cystic change, n=9). Size, location, shape (lobulated, round or oval, or complex cystic with tubular cyst), wall thickness (thin, ≤1 mm; thick, &gt;1 mm), internal surface (smooth or irregular), and other findings were analyzed with multiphasic CT with thin-section (2.5–3 mm) images. CT features between two groups were compared using univariate and multivariate stepwise logistic regression analyses.</description><dc:title>Macrocystic pancreatic lesions: differentiation of benign from premalignant and malignant cysts by CT</dc:title><dc:creator>S.H. Kim, J.H. Lim, W.J. Lee, H.K. Lim</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.031</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>79</prism:startingPage><prism:endingPage>79</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002952/abstract?rss=yes"><title>Ultrasonography of the Achilles tendon after percutaneous repair [in French]</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002952/abstract?rss=yes</link><description>To evaluate clinical and ultrasound (US) results following percutaneous repair of the Achilles tendon.   Thirty-four patients underwent percutaneous Achilles tendon repair between 2004 and 2006. Seventeen patients (11 males and six females aged 30 to 59 years) underwent clinical and US follow-up at a mean of 15 months. US evaluation included assessment of the bilateral Achilles tendons with recording of maximum tendon diameter, echotexture, and presence of intratendonous neovascularization power Doppler US.</description><dc:title>Ultrasonography of the Achilles tendon after percutaneous repair [in French]</dc:title><dc:creator>A. Miquel, V. Molina, C. Phan, A. Lesavre, Y. Menu</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.032</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>79</prism:startingPage><prism:endingPage>79</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109002964/abstract?rss=yes"><title>Value of imaging in posterolateral corner injuries of the knee [in French]</title><link>http://www.clinicalimaging.org/article/PIIS0899707109002964/abstract?rss=yes</link><description>Lesions of the posterolateral corner are usually posttraumatic in etiology. They are most frequently associated with tear of the anterior cruciate ligament and/or posterior cruciate ligament. When unrecognized, they may lead to short-term failure of cruciate ligament reconstruction or long-term knee joint degeneration. Early detection of such lesions, especially in the preoperative period, is important since more severe injuries usually require dedicated early surgical management. The anatomy of the posterolateral corner will be reviewed and the normal and abnormal imaging features on MRI and US will be illustrated. The main clinical and surgical features will also be presented.</description><dc:title>Value of imaging in posterolateral corner injuries of the knee [in French]</dc:title><dc:creator>N. Bounty, M. Bourges, S. Dupont, J.F. Budzik, X. Demondion, A. Cotton</dc:creator><dc:identifier>10.1016/j.clinimag.2009.10.033</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2010-01-01</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2010-01-01</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section>Abstracts</prism:section><prism:startingPage>79</prism:startingPage><prism:endingPage>80</prism:endingPage></item><item rdf:about="http://www.clinicalimaging.org/article/PIIS0899707109003039/abstract?rss=yes"><title>Meetings and courses</title><link>http://www.clinicalimaging.org/article/PIIS0899707109003039/abstract?rss=yes</link><description></description><dc:title>Meetings and courses</dc:title><dc:creator></dc:creator><dc:identifier>10.1016/j.clinimag.2009.11.001</dc:identifier><dc:source>Clinical Imaging 34, 1 (2010)</dc:source><dc:date>2009-11-26</dc:date><prism:publicationName>Clinical Imaging</prism:publicationName><prism:publicationDate>2009-11-26</prism:publicationDate><prism:volume>34</prism:volume><prism:number>1</prism:number><prism:issueIdentifier>S0899-7071(09)X0007-0</prism:issueIdentifier><prism:section></prism:section><prism:startingPage>81</prism:startingPage><prism:endingPage>81</prism:endingPage></item></rdf:RDF>