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Article

Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society - 1 Mar 2021

Decuyper Milan, Bonte Stijn, Deblaere Karel, Van Holen Roel

Abstract excerpt

In the WHO glioma classification guidelines grade (glioblastoma versus lower-grade glioma), IDH mutation and 1p/19q co-deletion status play a central role as they are important markers for prognosis and optimal therapy planning. Currently, diagnosis requires invasive surgical procedures. Therefore, we propose an automatic segmentation and classification pipeline based on routinely acquired pre-operative MRI (T1,...

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Identifiers

PMID: 33482430
DOI: 10.1016/j.compmedimag.2020.101831

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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