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Article

Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas.

Cancer imaging : the official publication of the International Cancer Imaging Society - 2 Jan 2024

Setyawan Nurhuda Hendra, Choridah Lina, Nugroho Hanung Adi, Malueka Rusdy Ghazali, Dwianingsih Ery Kus

Abstract excerpt

BACKGROUND: Gliomas present a significant economic burden and patient management challenge. The 2021 WHO classification incorporates molecular parameters, which guide treatment decisions. However, acquiring these molecular data involves invasive biopsies, prompting a need for non-invasive diagnostic methods. This study aims to assess the potential of Visually AcceSAble Rembrandt Images (VASARI) MRI features to...

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Identifiers

PMID: 38167551
DOI: 10.1186/s40644-023-00638-8
PMCID: PMC10759759

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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