Advertisement
Original Article| Volume 45, P81-85, September 2017

The added value of the CSF cleft on ADC in distinguishing extra-axial from intra-axial tumors

  • Junyoung Kim
    Affiliations
    Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine. 211 Eonju-ro, Gangnam-gu, Seoul 135-720, Republic of Korea
    Search for articles by this author
  • Chang-Ki Hong
    Affiliations
    Department of Neurosurgery, Gangnam Severance Hospital, Yonsei University College of Medicine. 211 Eonju-ro, Gangnam-gu, Seoul 135-720, Republic of Korea
    Search for articles by this author
  • Sang Hyun Suh
    Affiliations
    Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine. 211 Eonju-ro, Gangnam-gu, Seoul 135-720, Republic of Korea
    Search for articles by this author
  • Woo Sang Jung
    Affiliations
    Department of Radiology, Ajou University School of Medicine, 164, World cup-ro, Yeongtong-gu, Suwon, Gyeonggi-do, South Korea 16499
    Search for articles by this author
  • Sung Jun Ahn
    Correspondence
    Corresponding author at: Department of Radiology, Gangnam Severance Hospital, Yonsei University, College of Medicine, 211Eonju-ro, Gangnam-gu, Seoul 135-720, Korea. Tel.: +82 2 2019 3510; fax: +82 2 3462 5472.
    Affiliations
    Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine. 211 Eonju-ro, Gangnam-gu, Seoul 135-720, Republic of Korea
    Search for articles by this author

      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 access
      One-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 Imaging
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Osborn A.G.
        Diagnostic neuroradiology.
        Mosby, St. Louis1994
        • Curnes J.T.
        MR imaging of peripheral intracranial neoplasms: extraaxial vs intraaxial masses.
        J Comput Assist Tomogr. 1987; 11: 932-937
        • George A.E.
        • Russell E.J.
        • Kricheff I.I.
        White matter buckling: CT sign of extraaxial intracranial mass.
        AJR Am J Roentgenol. 1980; 135: 1031-1036
        • Spagnoli M.V.
        • Goldberg H.I.
        • Grossman R.I.
        • Bilaniuk L.T.
        • Gomori J.M.
        • Hackney D.B.
        • et al.
        Intracranial meningiomas: high-field MR imaging.
        Radiology. 1986; 161: 369-375
        • Schaefer P.W.
        • Grant P.E.
        • Gonzalez R.G.
        Diffusion-weighted MR imaging of the brain.
        Radiology. 2000; 217: 331-345
        • Allen L.M.
        • Hasso A.N.
        • Handwerker J.
        • Farid H.
        Sequence-specific MR imaging findings that are useful in dating ischemic stroke.
        RadioGraphics. 2012; 32 ([discussion 97–9]): 1285-1297
        • Calvar J.A.
        • Meli F.J.
        • Romero C.
        • Calcagno M.L.
        • Yanez P.
        • Martinez A.R.
        • et al.
        Characterization of brain tumors by MRS, DWI and Ki-67 labeling index.
        J Neurooncol. 2005; 72: 273-280
        • Fleiss J.L.
        • Levin B.
        • Paik M.C.
        Statistical methods for rates and proportions.
        3rd ed. Hoboken, N.J., J. Wiley2003
        • Hanley J.A.
        • McNeil B.J.
        A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
        Radiology. 1983; 148: 839-843
        • Brant W.E.
        • Helms C.A.
        Fundamentals of diagnostic radiology.
        3rd ed. Lippincott, Williams & Wilkins, Philadelphia2007
        • Hingwala D.
        • Chatterjee S.
        • Kesavadas C.
        • Thomas B.
        • Kapilamoorthy T.R.
        Applications of 3D CISS sequence for problem solving in neuroimaging.
        Indian J Radiol Imaging. 2011; 21: 90-97
        • Chavhan G.B.
        • Babyn P.S.
        • Jankharia B.G.
        • Cheng H.L.
        • Shroff M.M.
        Steady-state MR imaging sequences: physics, classification, and clinical applications.
        RadioGraphics. 2008; 28: 1147-1160
        • Mascalchi M.
        • Filippi M.
        • Floris R.
        • Fonda C.
        • Gasparotti R.
        • Villari N.
        Diffusion-weighted MR of the brain: methodology and clinical application.
        Radiol Med. 2005; 109: 155-197
        • Helenius J.
        • Soinne L.
        • Perkio J.
        • Salonen O.
        • Kangasmaki A.
        • Kaste M.
        • et al.
        Diffusion-weighted MR imaging in normal human brains in various age groups.
        AJNR Am J Neuroradiol. 2002; 23: 194-199
        • Yamasaki F.
        • Kurisu K.
        • Satoh K.
        • Arita K.
        • Sugiyama K.
        • Ohtaki M.
        • et al.
        Apparent diffusion coefficient of human brain tumors at MR imaging.
        Radiology. 2005; 235: 985-991
        • Sener R.N.
        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
        • Ardekani S.
        • Sinha U.
        Geometric distortion correction of high-resolution 3 T diffusion tensor brain images.
        Magn Reson Med. 2005; 54: 1163-1171
        • Le Bihan D.
        • Poupon C.
        • Amadon A.
        • Lethimonnier F.
        Artifacts and pitfalls in diffusion MRI.
        J Magn Reson Imaging. 2006; 24: 478-488
        • Takeguchi T.
        • Miki H.
        • Shimizu T.
        • Kikuchi K.
        • Mochizuki T.
        • Ohue S.
        • et al.
        Evaluation of the tumor-brain interface of intracranial meningiomas on MR imaging including FLAIR images.
        Magn Reson Med Sci. 2003; 2: 165-169