Imaging‐Based Molecular Characterization of Adult‐Type Diffuse Glioma Using Diffusion and Perfusion MRI in Pre‐ and Post‐Treatment Stage Considering Spatial and Temporal Heterogeneity

• Published in: Journal of magnetic resonance imaging Vol. 62; no. 2; pp. 468 - 479
• Main Authors: Roh, Yun Hwa, Cheong, E‐Nae, Park, Ji Eun, Choi, Yangsean, Jung, Seung Chai, Song, Sang Woo, Kim, Young‐Hoon, Hong, Chang‐Ki, Kim, Jeong Hoon, Kim, Ho Sung
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.08.2025; Wiley Subscription Services, Inc
• Subjects: Adult; Aged; Brain - diagnostic imaging; Brain Neoplasms - diagnostic imaging; Brain Neoplasms - genetics; Brain Neoplasms - therapy; Brain tumors; characterization; Cross-Sectional Studies; Diffusion coefficient; Diffusion Magnetic Resonance Imaging; EGFR; Epidermal growth factor receptors; ErbB Receptors - genetics; Female; Field strength; Glioma; Glioma - diagnostic imaging; Glioma - genetics; Glioma - therapy; Growth factors; Heterogeneity; Humans; IDH; Isocitrate dehydrogenase; Isocitrate Dehydrogenase - genetics; Magnetic resonance imaging; Male; Males; Medical imaging; Middle Aged; Mutation; Neoplasm Recurrence, Local - diagnostic imaging; Perfusion; Perfusion Magnetic Resonance Imaging; Radiomics; Retrospective Studies; Spatial heterogeneity; Statistical analysis; Statistical tests; Tumors; glioma; IDH; characterization; EGFR; heterogeneity
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.29781

ABSTRACT Background Imaging‐based molecular characterization is important for identifying treatment targets in adult‐type diffuse gliomas. Purpose To assess isocitrate dehydrogenase (IDH) mutation and epidermal growth factor receptor (EGFR) amplification status in primary and recurrent gliomas using diffusion and perfusion MRI, addressing spatial and temporal heterogeneity. Study Type Retrospective. Subjects Three‐hundred and twelve newly diagnosed (cross‐sectional set, 57.9 ± 13.2 years, 52.2% male, 235 IDH‐wildtype, 71 EGFR‐amplified) and 38 recurrent (longitudinal set, 53.1 ± 13.4 years, 44.7% male, 30 IDH‐wildtype, 13 EGFR‐amplified) adult‐type diffuse glioma patients. Field Strength/Sequence 3.0T; diffusion weighted and dynamic susceptibility contrast‐perfusion weighted imaging. Assessment Radiomics features from contrast‐enhancing tumors (CET) and non‐enhancing lesions (NEL) were extracted from apparent diffusion coefficient and perfusion maps. Spatial heterogeneity was assessed using intersection and Bhattacharyya distance between CET and NEL. Stable imaging features were identified in patients with unchanged genetic profiles in the longitudinal set. The “best model,” using features from the cross‐sectional set (n = 312), and the “concordant model,” using stable features identified in the longitudinal set (n = 38), were constructed using the LASSO for IDH and EGFR status. Statistical Tests The area under the receiver‐operating‐characteristic curve (AUC). Results For IDH mutations, both best and concordant models demonstrated high AUCs in the cross‐sectional set (0.936; 95% confidence interval [CI]: 0.903–0.969 and 0.964 [0.943–0.986], respectively). Only the concordant model maintained strong performance in recurrent tumors (AUC, 0.919 vs. 0.656). For EGFR amplification in IDH‐wildtype, the best and concordant models showed AUCs of 0.821 (95% CI: 0.761–0.881) and 0.746 (95% CI: 0.675–0.817) in newly diagnosed gliomas, but poor performance in recurrent tumors with AUCs of 0.503 (95% CI: 0.34–0.665) and 0.518 (95% CI: 0.357–0.678). Data Conclusion Diffusion and perfusion MRI characterized IDH status in both newly diagnosed and recurrent gliomas, but showed limited diagnostic performance for EGFR, especially for recurrent tumors. Evidence Level 3 Technical Efficacy Stage 3