Literature DB >> 12617239

How well do radiologists diagnose intracerebral tumour histology on CT? Findings from a prospective multicentre study.

D Bell1, R Grant, D Collie, M Walker, I R Whittle.   

Abstract

The management of patients with intracranial tumours relies on accurate diagnosis of tumour type. To assess the accuracy with which tumour histology could be diagnosed from brain CT we reviewed data from a prospective, population-based study from three Scottish neuroscience centres. Between October 1997 and April 1999 all patients from the Edinburgh, Aberdeen and Dundee Neuroscience Centres with a CT-diagnosis of a solitary, supratentorial intra-cerebral tumour were recruited. General and neuroradiologists were asked to give their best guess tumour diagnosis. Biopsy confirmed neuropathological tumour type was available for comparison with best guess CT-diagnosis in 221 of 324 patients. Histological diagnosis was either malignant glioma, low grade glioma or metastasis in 199 cases. The accuracy of CT lesional diagnosis for these three categories was 60% (95% confidence interval 54-67%), 85% (80-89%) and 82% (77-88%), respectively. The diagnostic accuracy of an intra-cerebral tumour was 0.81 with a positive predictive value of 0.93. There was no significant difference between histological diagnostic accuracy of neuroradiologists and general radiologists. In 10% of patients the initial CT scan was reported as negative for intracranial tumour, with 62% of these scans having been carried out without contrast. Based on CT alone radiologists are good at identifying an intra-cerebral tumour, but not so good at distinguishing between different tumour types. The implications of the findings for patient management are discussed.

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Mesh:

Year:  2002        PMID: 12617239

Source DB:  PubMed          Journal:  Br J Neurosurg        ISSN: 0268-8697            Impact factor:   1.596


  4 in total

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Journal:  J Neurooncol       Date:  2008-08-20       Impact factor: 4.130

2.  Adding 11C-methionine PET to the EORTC prognostic factors in grade 2 gliomas.

Authors:  A Smits; E Westerberg; D Ribom
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-08-21       Impact factor: 9.236

3.  Demographic variation in incidence of adult glioma by subtype, United States, 1992-2007.

Authors:  Robert Dubrow; Amy S Darefsky
Journal:  BMC Cancer       Date:  2011-07-29       Impact factor: 4.430

4.  Glioblastoma mimicking a cerebral contusion: A case report.

Authors:  Xinwei Li; Kun Wang; Anling Zhang; Zhengfei Song; Shuxu Yang; Cong Qian; Yirong Wang
Journal:  Oncol Lett       Date:  2013-08-21       Impact factor: 2.967

  4 in total

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