Patterns of response in head and neck cancer subregions using daily Quantitative MRI from MR-guided radiation therapy. Clin Transl Radiat Oncol 2026 Jan;56:101059
Date
11/10/2025Pubmed ID
41210215Pubmed Central ID
PMC12590287DOI
10.1016/j.ctro.2025.101059Scopus ID
2-s2.0-105019339875 (requires institutional sign-in at Scopus site) 3 CitationsAbstract
BACKGROUND AND PURPOSE: Quantitative MRI (qMRI) is an emerging technique for characterizing tissue microenvironments. Prior work has shown that daily qMRI during MR-guided radiotherapy (MRgRT) detects differential responses to hypofractionated radiotherapy (RT) in head and neck squamous cell carcinoma (HNSCC) within the primary gross tumor volume (GTVp). This exploratory study investigates whether subregions of HNSCC tumors show distinct qMRI responses to hypofractionated RT using contoured GTVp subregions and voxelwise data.
MATERIALS AND METHODS: Eighteen subjects with advanced HNSCC underwent MRgRT with daily qMRI over 15 fractions (total dose 50, 55, or 60 Gy). Daily intravoxel incoherent motion (IVIM) and relaxometry sequences were acquired on a 1.5 T MR-Linac. Median ADC, D, D*, f, T1, and T2 were calculated for concentric GTVp subregions and an intra-subject control contour in paraspinal muscle. Mixed effect models were fit for each parameter. Voxelwise analysis included quantile tracking, histograms, and paired tests over the length of RT.
RESULTS: Significant changes (p < 0.05) were observed in ADC, D, f, T2, and T1 within GTVp subregions. ADC, D, f, and T2 changes were uniform, while T1 varied spatially. Spatial patterns were detected in ADC and T1, with marginal effects in D, f, and T2. Voxelwise analysis revealed significant changes in all parameters except D* after correction. ADC, D, and f increased consistently; T1 and T2 changes were quantile dependent. These trends may reflect biological processes such as declining cellularity, reperfusion, or edema.
CONCLUSIONS: In this exploratory study, qMRI detected spatial heterogeneity in HNSCC. These findings support its potential role in guiding biologically adaptive RT strategies.
Author List
Bonate R, Awan M, Himburg H, Wong S, Shukla M, Zenga J, Paulson ESAuthors
Eric Paulson PhD Chief, Professor in the Radiation Oncology department at Medical College of WisconsinJoseph Zenga MS, MD Chief, Associate Professor in the Otolaryngology and Communication Sciences department at Medical College of Wisconsin
