Literature DB >> 31082555

Prediction of High-Grade Histology and Recurrence in Meningiomas Using Routine Preoperative Magnetic Resonance Imaging: A Systematic Review.

Dorothee Cäcilia Spille1, Peter B Sporns2, Katharina Heß3, Walter Stummer4, Benjamin Brokinkel4.   

Abstract

OBJECTIVE: Estimating the risk of recurrence after surgery remains crucial during care of patients with meningioma. Numerous studies identified correlations of characteristics on routine preoperative magnetic resonance imaging (MRI) with postoperative recurrence or high-grade histology but showed partially inconclusive results.
METHODS: A systematic review of the literature was performed about findings on preoperative MRI and their correlation with high-grade histology and recurrence. Quality of the included studies was analyzed using standardized Quality Assessment of Diagnostic Accuracy Studies criteria.
RESULTS: Among the 35 studies included, quality of the series according to the Quality Assessment of Diagnostic Accuracy Studies criteria differed widely. Remarkably, MRI variables found to be associated with high-grade histology were commonly not consistently associated with prognosis and vice versa. Correlations of the tumor size, the peritumoral edema size, and contrast-enhancement of the tumor capsule with high-grade histology were controversial. In most studies, non-skull base tumor location, cyst formation, heterogenous contrast-enhancement, an irregular tumor shape, and disruption of the tumor/brain border but not intensity of the lesion on T2-weighted images, calcifications, or bone involvement were associated with grade II/III histology. Although tumor and edema size were usually found to correlate with recurrence, heterogenous contrast enhancement, cyst formation, intensity of the tumor on T2-weighted MRI, and enhancement of the tumor capsule were mostly not related with progression.
CONCLUSIONS: Several mostly consistent but partially inconsistent variables associated with high-grade histology or prognosis were identified. Although standardized studies are needed to provide further clarification, consideration of these findings can help to improve estimation of prognosis and can therefore improve postoperative care in patients with meningioma.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Grading; Magnetic resonance imaging; Meningioma; Prognosis

Mesh:

Year:  2019        PMID: 31082555     DOI: 10.1016/j.wneu.2019.05.017

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  6 in total

1.  Principal component analysis of texture features for grading of meningioma: not effective from the peritumoral area but effective from the tumor area.

Authors:  Teiji Tominaga; Kei Takase; Naoko Mori; Shunji Mugikura; Toshiki Endo; Hidenori Endo; Yo Oguma; Li Li; Akira Ito; Mika Watanabe; Masayuki Kanamori
Journal:  Neuroradiology       Date:  2022-08-31       Impact factor: 2.995

2.  Peritumoral edema correlates with mutational burden in meningiomas.

Authors:  Corey M Gill; Joshua Loewenstern; John W Rutland; Hanane Arib; Margaret Pain; Melissa Umphlett; Yayoi Kinoshita; Russell B McBride; Joshua Bederson; Michael Donovan; Robert Sebra; Mary Fowkes; Raj K Shrivastava
Journal:  Neuroradiology       Date:  2020-08-12       Impact factor: 2.804

Review 3.  A Spotlight on the Role of Radiomics and Machine-Learning Applications in the Management of Intracranial Meningiomas: A New Perspective in Neuro-Oncology: A Review.

Authors:  Lara Brunasso; Gianluca Ferini; Lapo Bonosi; Roberta Costanzo; Sofia Musso; Umberto E Benigno; Rosa M Gerardi; Giuseppe R Giammalva; Federica Paolini; Giuseppe E Umana; Francesca Graziano; Gianluca Scalia; Carmelo L Sturiale; Rina Di Bonaventura; Domenico G Iacopino; Rosario Maugeri
Journal:  Life (Basel)       Date:  2022-04-14

4.  A Magnetic Resonance Imaging-Based Radiomic Model for the Noninvasive Preoperative Differentiation Between Transitional and Atypical Meningiomas.

Authors:  Jing Zhang; Guojin Zhang; Yuntai Cao; Jialiang Ren; Zhiyong Zhao; Tao Han; Kuntao Chen; Junlin Zhou
Journal:  Front Oncol       Date:  2022-01-21       Impact factor: 6.244

5.  Efficacy of Bevacizumab in High-Grade Meningiomas: A Retrospective Clinical Study.

Authors:  Xuexue Bai; Xiaomin Liu; Jun Wen
Journal:  Neuropsychiatr Dis Treat       Date:  2022-08-06       Impact factor: 2.989

6.  Predicting the risk of postoperative recurrence and high-grade histology in patients with intracranial meningiomas using routine preoperative MRI.

Authors:  Dorothee Cäcilia Spille; Alborz Adeli; Peter B Sporns; Katharina Heß; Eileen Maria Susanne Streckert; Caroline Brokinkel; Christian Mawrin; Werner Paulus; Walter Stummer; Benjamin Brokinkel
Journal:  Neurosurg Rev       Date:  2020-04-23       Impact factor: 3.042

  6 in total

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