Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
608-02-007 ISMRM Abstract

Improving Diagnostic Accuracy in Preoperative Glioma Classification: Performance of Knowledge-Enhanced Large Language Models

Primary: Analysis Methods - Classification and Prediction
Secondary: Neuro - Tumors
608-02-007 · Towards Multimodal Intelligence in MRI: Vision-Language Integration · Thursday, 14 May, 1:40 PM–3:30 PM · Meeting Room 1.60
Keywords: Large Language Models Glioma classification VASARI features
Accepted
Qianqian Zheng 1, Shuang Li1, Xin Fang1, Jing Zhang2, Xiaoyong Zhang3, Qiang Yue1
1West China Hospital of Sichuan University, Chendu, China
2MR Research Collaboration Team, Shanghai, China
3Clinical Science, Philips Healthcare, Chengdu, China
Presenting Author: Qianqian Zheng

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References

1. Louis DN, Perry A, Wesseling P, et al. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro Oncol. Aug 2 2021;23(8):1231-1251. doi:10.1093/neuonc/noab106 [doi]
2. Lee B, Hwang S, Bae H, Choi KH, Suh YL. Diagnostic utility of genetic alterations in distinguishing IDH-wildtype glioblastoma from lower-grade gliomas: Insight from next-generation sequencing analysis of 479 cases. Brain Pathol. Sep 2024;34(5):e13234. doi:10.1111/bpa.13234 [doi]
3. Chakrabarty S, Sotiras A, Milchenko M, LaMontagne P, Hileman M, Marcus D. MRI-based Identification and Classification of Major Intracranial Tumor Types by Using a 3D Convolutional Neural Network: A Retrospective Multi-institutional Analysis. Radiol Artif Intell. Sep 2021;3(5):e200301. doi:10.1148/ryai.2021200301 [doi]
4. Spitzl D, Mergen M, Bauer U, et al. Leveraging large language models for accurate classification of liver lesions from MRI reports. Comput Struct Biotechnol J. 2025;27:2139-2146. doi:10.1016/j.csbj.2025.05.019 [doi]
5. Zhang Y, Xu Y, Chen P, et al. Knowledge-enhanced medical image classification via descriptive priors from large language models. Health Inf Sci Syst. Dec 2025;13(1):61. doi:10.1007/s13755-025-00380-4 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/608-02-007