Pre-Surgical Detection of Infiltrating Glioblastoma Using a Histopathology-Validated MR Fingerprinting Prediction Model
Motivation: Glioblastoma (GBM) infiltration models lack histopathological validation. Goal(s): GBM infiltration models should be validated with histopathological data of the surrounding peritumoral zone (PZ), which is typically omitted from surgery and difficult to obtain retrospectively. Approach: We prospectively obtained histopathology data from either targeted biopsies (n = 5) or extended peritumoral resection (n = 18). GBM cases with ground truth PZ sampling were used to evaluate the performance of a self-supervised MR fingerprinting (MRF) and multiparametric MRI classifier. Results: Our histopathology-validated infiltration model achieved 70.9% sensitivity and 74.5% specificity in detecting infiltrating glioma, with a mean balanced accuracy of 72.7%. Impact: Glioblastoma (GBM) peritumoral infiltration leads to inevitable recurrence and death. We develop and histopathologically-validate an MRF artificial intelligence (AI) model for pre-surgical prediction of infiltrating GBM to reduce tumor recurrence, improve patient quality of life, and extend survival.
Authors
- Charit Tippareddy (ORCID: https://orcid.org/0000-0002-9285-2678)
- Prashant Vempati (ORCID: https://orcid.org/0000-0003-0398-8088)
- Nisha Korakavi
- Walter Zhao (ORCID: https://orcid.org/0000-0001-8907-4935)
- Tiffany R. Hodges (ORCID: https://orcid.org/0000-0002-3788-1724)
- Christos A. Davatzikos (ORCID: https://orcid.org/0000-0002-1025-8561)
- Shengwen Deng (ORCID: https://orcid.org/0000-0002-2026-3882)
- Michael D. Staudt (ORCID: https://orcid.org/0000-0002-9123-136X)
- Jeffrey L. Sunshine (ORCID: https://orcid.org/0000-0002-3227-8715)
- Chaitra Badve (ORCID: https://orcid.org/0000-0001-8547-8019)
- Marta Couce (ORCID: https://orcid.org/0000-0002-9595-2586)
- Andrew Edward Sloan (ORCID: https://orcid.org/0000-0001-9607-5063)
- Sree Gongala (ORCID: https://orcid.org/0009-0006-6074-4871)
- Wang Xiao-feng (ORCID: https://orcid.org/0000-0002-6087-1444)
- Richard C. Adams (ORCID: https://orcid.org/0000-0002-8732-4192)
- Dan Ma
- Eunate Alzaga Goñi
- Robin Ghotra
- Parisa Arjmand
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0081
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00