Highlights
- •The CSF cleft is more prominent on ADC map than on T2WI.
- •Diagnostic performance of CSF cleft is increased when ADC and T2WI are used together.
- •ADC map might be helpful in tumor localization as well as tumor characterization.
Abstract
We investigated whether the CSF cleft sign on ADC maps is beneficial for differentiating
extra-axial tumors from intra-axial tumors. Seventy-seven intracranial tumor patients
were reviewed. Visual grades of CSF cleft sign on T2WI and ADC were compared. The
diagnostic performance of CSF cleft sign using ADC plus T2WI was compared with that
using T2WI alone. A CSF cleft was more easily visualized on ADC (P < 0.01). The diagnostic performance of CSF cleft sign significantly increased in accuracy
of 85.7 to 96.1% (P < 0.01) when ADC and T2WI were used together.
Keywords
To read this article in full you will need to make a payment
Purchase one-time access:
Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online accessOne-time access price info
- For academic or personal research use, select 'Academic and Personal'
- For corporate R&D use, select 'Corporate R&D Professionals'
Subscribe:
Subscribe to Clinical ImagingAlready a print subscriber? Claim online access
Already an online subscriber? Sign in
Register: Create an account
Institutional Access: Sign in to ScienceDirect
References
- Diagnostic neuroradiology.Mosby, St. Louis1994
- MR imaging of peripheral intracranial neoplasms: extraaxial vs intraaxial masses.J Comput Assist Tomogr. 1987; 11: 932-937
- White matter buckling: CT sign of extraaxial intracranial mass.AJR Am J Roentgenol. 1980; 135: 1031-1036
- Intracranial meningiomas: high-field MR imaging.Radiology. 1986; 161: 369-375
- Diffusion-weighted MR imaging of the brain.Radiology. 2000; 217: 331-345
- Sequence-specific MR imaging findings that are useful in dating ischemic stroke.RadioGraphics. 2012; 32 ([discussion 97–9]): 1285-1297
- Characterization of brain tumors by MRS, DWI and Ki-67 labeling index.J Neurooncol. 2005; 72: 273-280
- Statistical methods for rates and proportions.3rd ed. Hoboken, N.J., J. Wiley2003
- A method of comparing the areas under receiver operating characteristic curves derived from the same cases.Radiology. 1983; 148: 839-843
- Fundamentals of diagnostic radiology.3rd ed. Lippincott, Williams & Wilkins, Philadelphia2007
- Applications of 3D CISS sequence for problem solving in neuroimaging.Indian J Radiol Imaging. 2011; 21: 90-97
- Steady-state MR imaging sequences: physics, classification, and clinical applications.RadioGraphics. 2008; 28: 1147-1160
- Diffusion-weighted MR of the brain: methodology and clinical application.Radiol Med. 2005; 109: 155-197
- Diffusion-weighted MR imaging in normal human brains in various age groups.AJNR Am J Neuroradiol. 2002; 23: 194-199
- Apparent diffusion coefficient of human brain tumors at MR imaging.Radiology. 2005; 235: 985-991
- Diffusion MRI: apparent diffusion coefficient (ADC) values in the normal brain and a classification of brain disorders based on ADC values.Comput Med Imaging Graph. 2001; 25: 299-326
- Geometric distortion correction of high-resolution 3 T diffusion tensor brain images.Magn Reson Med. 2005; 54: 1163-1171
- Artifacts and pitfalls in diffusion MRI.J Magn Reson Imaging. 2006; 24: 478-488
- Evaluation of the tumor-brain interface of intracranial meningiomas on MR imaging including FLAIR images.Magn Reson Med Sci. 2003; 2: 165-169
Article info
Publication history
Published online: April 27, 2017
Accepted:
April 24,
2017
Received in revised form:
April 6,
2017
Received:
November 14,
2016
Identification
Copyright
© 2017 Elsevier Inc. All rights reserved.