Literature DB >> 31865221

Diagnostic performance of diffusion and perfusion MRI in differentiating high from low-grade meningiomas: A systematic review and meta-analysis.

Timoleon Siempis1, Charalampos Tsakiris1, George A Alexiou2, Vassileios G Xydis3, Spyridon Voulgaris1, Maria I Argyropoulou3.   

Abstract

OBJECTIVES: The purpose of the present meta-analysis and systematic review was to evaluate the currently published data on the potential role of perfusion (PWI) and diffusion (DWI) weighted imaging for the assessment of meningioma grade. PATIENTS AND METHODS: A search of MEDLINE and relative reference lists was conducted to identify all the eligible studies assessing the diagnostic performance of DWI and PWI in grading meningiomas. Meta-Disc and Rev-Man were used for the statistical analysis. Methodological quality and risk of bias were assessed with the use of the updated Quality assessment of the diagnostic accuracy (QUADAS-2) tool. Pooled sensitivity, specificity and area under the summary receiver operating characteristic curve were calculated individually for DWI and PWI to demonstrate the diagnostic performance of each modality.
RESULTS: Fourteen studies with 1063 patients were included. The 8 studies evaluating DWI showed a pooled sensitivity of 80% (95% CI, 74%-86%) and a pooled specificity of 76% (95% CI, 72%-79%). As for the 6 remaining studies concerning PWI, the pooled sensitivity and specificity were found 80% (95% CI, 71%-88%) and 91% (95% CI, 87%-94%), respectively. The area under the SROC curve was 0.94 (95% CI) for PWI and 0.91 (95% CI) for DWI. The comparison of the two AUCs showed that neither technique was superior with regards to the diagnostic performance.
CONCLUSIONS: The current evidence proves that both techniques are efficient at differentiating high from low-grade meningiomas.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Benign; DWI; Grade; MRI; Malignant; Meningioma; PWI

Mesh:

Year:  2019        PMID: 31865221     DOI: 10.1016/j.clineuro.2019.105643

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


  2 in total

1.  Preoperative Prediction of Intracranial Meningioma Grade Using Conventional CT and MRI.

Authors:  Toshiyuki Amano; Akira Nakamizo; Hideki Murata; Yuichiro Miyamatsu; Fumihito Mugita; Koji Yamashita; Tomoyuki Noguchi; Shinji Nagata
Journal:  Cureus       Date:  2022-01-25

2.  Utility of 3T single-voxel proton MR spectroscopy for differentiating intracranial meningiomas from intracranial enhanced mass lesions.

Authors:  Eiji Matsusue; Chie Inoue; Sadaharu Tabuchi; Hiroki Yoshioka; Yuichiro Nagao; Kensuke Matsumoto; Kazuhiko Nakamura; Shinya Fujii
Journal:  Acta Radiol Open       Date:  2021-04-19
  2 in total

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