Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy

• URL: http://arxiv.org/abs/2402.16619v1
• Date: Fri, 23 Feb 2024 18:00:44 GMT
• Title: Magnetic resonance delta radiomics to track radiation response in lung tumors receiving stereotactic MRI-guided radiotherapy
• Authors: Yining Zha (1 and 2 and 3), Benjamin H. Kann (1 and 2), Zezhong Ye (1 and 2), Anna Zapaishchykova (1 and 2 and 4), John He (2), Shu-Hui Hsu (2), Jonathan E. Leeman (2), Kelly J. Fitzgerald (2), David E. Kozono (2), Raymond H. Mak (1 and 2), Hugo J.W.L. Aerts (1 and 2 and 4 and 5) ((1) Artificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA, (2) Department of Radiation Oncology, Dana-Farber Cancer Institute and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, (3) Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA, (4) Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, Maastricht, the Netherlands, (5) Department of Radiology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA)
• Abstract summary: We explore the potential of delta radiomics from on-treatment magnetic resonance (MR) imaging to track radiation dose response. Delta radiomics were correlated with radiation dose delivery and assessed for tumor control and survival. Skewness, Elongation, and Flatness were significantly associated with local recurrence-free survival.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Introduction: Lung cancer is a leading cause of cancer-related mortality, and stereotactic body radiotherapy (SBRT) has become a standard treatment for early-stage lung cancer. However, the heterogeneous response to radiation at the tumor level poses challenges. Currently, standardized dosage regimens lack adaptation based on individual patient or tumor characteristics. Thus, we explore the potential of delta radiomics from on-treatment magnetic resonance (MR) imaging to track radiation dose response, inform personalized radiotherapy dosing, and predict outcomes. Methods: A retrospective study of 47 MR-guided lung SBRT treatments for 39 patients was conducted. Radiomic features were extracted using Pyradiomics, and stability was evaluated temporally and spatially. Delta radiomics were correlated with radiation dose delivery and assessed for associations with tumor control and survival with Cox regressions. Results: Among 107 features, 49 demonstrated temporal stability, and 57 showed spatial stability. Fifteen stable and non-collinear features were analyzed. Median Skewness and surface to volume ratio decreased with radiation dose fraction delivery, while coarseness and 90th percentile values increased. Skewness had the largest relative median absolute changes (22%-45%) per fraction from baseline and was associated with locoregional failure (p=0.012) by analysis of covariance. Skewness, Elongation, and Flatness were significantly associated with local recurrence-free survival, while tumor diameter and volume were not. Conclusions: Our study establishes the feasibility and stability of delta radiomics analysis for MR-guided lung SBRT. Findings suggest that MR delta radiomics can capture short-term radiographic manifestations of intra-tumoral radiation effect.

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