Literature DB >> 27504544

Diagnostic Accuracy of Perfusion Computed Tomography in Cerebral Glioma Grading.

Nosheen Ahmad1, Asim Shaukat1, Amna Rehan1, Shamoona Rashid1.   

Abstract

OBJECTIVE: To determine the diagnostic accuracy of perfusion computed tomography (PCT) in the grading of cerebral glioma. STUDY
DESIGN: Cross-sectional analytical study. PLACE AND DURATION OF STUDY: Department of Radiology, Allied Hospital, Faisalabad, from January to June 2014.
METHODOLOGY: All the patients with untreated glioma had an initial non-contrast head CT and then PCT using 128 multidetector CTscanner. Perfusion maps of permeability surface (PS) and cerebral blood volume (CBV) were generated and measured. As control, a second volume of interest was placed in the contralateral healthy cortex. PCT parameters were compared with World Health Organization (WHO) glioma grades.
RESULTS: Fifty patients of 30 - 70 years of age of both genders (mean 45.13 ±5.54), 31 (62%) males and 19 (38%) females were studied. These patients were classified as low-grade glioma group (22 patients) and high-grade glioma group (28 patients). PS showed the sensitivity of 95.45%, specificity of 92.86% and diagnostic accuracy of 94% in differentiating the low-grade and high-grade glioma by using a cut-off value of 3.6 ml/100 g/minute. By using a cut-off value of CBV of 2.08 (ml/100 g) among low-grade and high-grade glioma group, CBV showed the sensitivity of 77.3%, specificity of 89.3%, and diagnostic accuracy of 84%.
CONCLUSION: The derived parameters (PS and CBV) correlate well with tumor histopathology, differentiating low-grade from high-grade gliomas. PS showed better accuracy for glioma grading.

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Year:  2016        PMID: 27504544     DOI: 2370

Source DB:  PubMed          Journal:  J Coll Physicians Surg Pak        ISSN: 1022-386X            Impact factor:   0.711


  3 in total

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Authors:  Ke Wang; Yeming Li; Haiyang Cheng; Shenjie Li; Wei Xiang; Yang Ming; Ligang Chen; Jie Zhou
Journal:  BMC Neurol       Date:  2021-11-24       Impact factor: 2.474

2.  Exploration of CT Images Based on the BN-U-net-W Network Segmentation Algorithm in Glioma Surgery.

Authors:  Yongmei Yu; Zhaofeng Du; Changxin Yuan; Jian Li
Journal:  Contrast Media Mol Imaging       Date:  2022-04-11       Impact factor: 3.009

Review 3.  Hemodynamic Imaging in Cerebral Diffuse Glioma-Part A: Concept, Differential Diagnosis and Tumor Grading.

Authors:  Lelio Guida; Vittorio Stumpo; Jacopo Bellomo; Christiaan Hendrik Bas van Niftrik; Martina Sebök; Moncef Berhouma; Andrea Bink; Michael Weller; Zsolt Kulcsar; Luca Regli; Jorn Fierstra
Journal:  Cancers (Basel)       Date:  2022-03-10       Impact factor: 6.639

  3 in total

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