Literature DB >> 29471287

Preoperative Grading of Glioma Using Dynamic Susceptibility Contrast MRI: Relative Cerebral Blood Volume Analysis of Intra-tumoural and Peri-tumoural Tissue.

Radwa K Soliman1, Sara A Gamal2, Abdel-Hakeem A Essa3, Mostafa H Othman2.   

Abstract

OBJECTIVES: To assess the usefulness of intra-tumor and peri-tumoral relative cerebral blood volume (rCBV) in preoperative glioma grading. PATIENTS AND METHODS: 21 patients with histopathologically confirmed glioma were included. Imaging was achieved on a 1.5T MRI scanner. Dynamic susceptibility contrast (DSC) MRI was performed using T2* weighted gradient echo-planner imaging (EPI). Multiple regions of interest (ROIs) have been drawn in the hotspots regions, the highest ROI has been selected to represent the rCBV of each intra-tumoral and peri-tumoral regions. Based on histopathology, tumors were subdivided into low grade and high grade. Receiver operating characteristic analysis (ROC) of rCBV, of both intra-tumoral and peri-tumoral regions, was performed to find cut-off values between high and low-grade tumors. The resulting sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated.
RESULTS: Based on the histopathology, high-grade glioma (HGG) represented 76.2% whereas low-grade glioma (LGG) represented 23.8%. Both intra-tumoral and peri-tumoral rCBV of HGG were significantly higher than those of LGG. A cut-off value >2.9 for intra-tumoral rCBV provided sensitivity, specificity, and accuracy of 80%, 100%, and 85.7% respectively to differentiate between HGG and LGG. Additionally, the cut-off value >0.7 for peri-tumoral rCBV provided sensitivity, specificity, and accuracy of 100%, 66.6%, and 90.5% respectively to differentiate between HGG and LGG.
CONCLUSION: rCBV of each of intra-tumoral and peri-tumoral rCBV are significantly reliable for the preoperative distinction between HGG and LGG. Combined intra-tumoral and peri-tumoral rCBV provides overall better diagnostic accuracy and helps to decrease the invasive intervention for non-surgical candidates.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DSC-MRI; Glioma grading; Peri-tumoral tissue; rCBV

Mesh:

Year:  2018        PMID: 29471287     DOI: 10.1016/j.clineuro.2018.01.003

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  3 in total

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Journal:  Ann Transl Med       Date:  2019-12

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Authors:  Liang Jiang; Leilei Zhou; Zhongping Ai; Chaoyong Xiao; Wen Liu; Wen Geng; Huiyou Chen; Zhenyu Xiong; Xindao Yin; Yu-Chen Chen
Journal:  J Clin Med       Date:  2022-04-21       Impact factor: 4.964

3.  Evaluation of methotrexate-conjugated gadolinium(III) for cancer diagnosis and treatment.

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Journal:  Drug Des Devel Ther       Date:  2018-10-05       Impact factor: 4.162

  3 in total

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