Advanced MRI shape analysis as a predictor of histologically aggressive supratentorial meningioma - 11/01/21
, Maxime Baudouin a, Waleed Brinjikji b, Suzana Saleme a, Victor Hugo Espíndola Ala a, Marie-Paule Boncoeur-Martel a, Charbel Mounayer a, c, Aymeric Rouchaud a, cCet article a été publié dans un numéro de la revue, cliquez ici pour y accéder
Graphical abstract |
Highlights |
• | MRI shape analysis is a reproducible and informative tool to screen WHO II–III meningioma and histopathological brain invasion. |
• | Combined cross-validated models based on two shape analysis features have an AUC > 0.70 in predicting WHO II–III and brain invasive meningioma. |
• | Appropriate diagnostic thresholds could help to exclude brain invasive meningioma with a negative predictive value > 0.95. |
Abstract |
Background and purpose |
A subset of aggressive meningioma is associated with higher morbidity and requires a different therapeutic management. This subset consists of World Health Organization (WHO) grade II and III meningioma, characterized particularly with microscopic brain invasion. Numerous studies tried to screen aggressive meningioma on pre-operative MRI. The objective of the study was to determine if an advanced shape analysis of supratentorial meningioma outlines could reliably predict WHO II–III grade and histological brain invasion.
Materials and methods |
We performed a retrospective analysis for all consecutive patients who underwent surgery for supratentorial histologically-proven meningioma from 2010 to 2018. Pre-operative MRI T1WI contrast enhanced axial, coronal and sagittal slices were collected from 101 patients. Advanced shape analysis including fractal analysis and topological skeleton analysis was performed. Shape analysis parameters were correlated with histopathological WHO grading and brain invasion on surgical pieces.
Results |
Shape analysis features such as a low circularity, a low solidity, a high fractal dimension and a high number of skeleton’s branches were significantly correlated with both WHO II–III meningioma and histological brain invasion. Cross-validated regression models including these features were predictive of WHO II–III meningioma and brain invasion with respective AUC of 0.71 and 0.72.
Conclusions |
MRI shape analysis provides informative imaging biomarkers to predict high WHO grade and histological brain invasion of supratentorial meningioma. Further prospective studies including the evaluation of a fully-automatized and totally reproducible process are required to confirm the results.
Le texte complet de cet article est disponible en PDF.Abbreviations : Acc, AUC, FD, ICC, NPV, NSB, PPV, ROC, RSL, SD, Se, Sp
Keywords : Fractal analysis, Meningioma, MR-Imaging, Neuro-oncology, Shape analysis
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