Structured reporting of gliomas based on VASARI criteria to improve report content and consistency

• DOI: 10.1186/s12880-025-01603-6
• Publication Date: 2025-03-24T23:47:45Z
• Authors: Olivia Goodkin; Jiaming Wu; Hugh Pemberton; Ferran Prados; Sjoerd B. Vos; Stefanie Thust; John Thornton; Tarek Yousry; Sotirios Bisdas; Frederik Barkhof
• Keywords: Content (measure theory)

Gliomas are the commonest malignant brain tumours. Baseline characteristics on structural MRI, such as size, enhancement proportion and eloquent involvement inform grading treatment planning. Currently, free-text imaging reports depend individual style experience of radiologist. Standardisation may increase consistency feature reporting. We compared 100 baseline for glioma MRI scans with a structured list based VASARI criteria performed full second read to document which features were in report. found that quantitative including tumour size necrosis oedema/infiltration commonly not included reports. Thirty-three percent gave description only, 38% did refer at all. Detailed information about location areas infiltration deep white matter was also missing from majority Overall, we graded 6% having omitted some key would alter patient management. Tumour anatomical is often by neuroradiologists. Comparison report identified benefit standardisation and/or quantification. Structured reporting improve consistency, clinical communication, decisions.