Association of radiomic skeletal muscle features on prostate T1-weighted MRI with major adverse cardiac events in prostate cancer patients.
Abstract
34 Background: Prostate cancer (PCa) is the most common malignancy among men, yet cardiovascular disease (CVD) remains a leading cause of morbidity and mortality. Recent studies show that baseline skeletal-muscle strength predicts major adverse cardiac events (MACE). As prostate MRI (pMRI) is routine in PCa care, we evaluated whether radiomic features (RFs) of pelvic skeletal muscle predict MACE. Methods: We retrospectively analyzed 225 men with PCa (2010–2025). Baseline 3 T T1-weighted pMRI scans were used to segment the obturator internus, externus, and pectineus muscles. Thirty scans were manually annotated to train an nnUNetv2 model; remaining scans were auto-segmented and verified under radiologist supervision. Haralick/GLCM, gradient-derived, and CoLlAGe (co-occurrence of local anisotropic gradient orientations) features were extracted per IBSI standards. Correlated RFs were removed, significance tested (Wilcoxon p < 0.05), and top five selected by mRMR; univariate Cox models identified RFs with highest concordance index. Results: Of 225 patients, 52 (23.1 %) developed MACE during a median follow-up of 1,641 days. After FDR correction, CoLlAGe Entropy [Gradient Orientations (ColEGO) S4N3; q = 0.012] and ColEGO (S3N3; q = 0.028) remained significant. Five-fold cross-validation AUC = 0.64 ± 0.11 (L1-logistic) and 0.61 ± 0.03 (XGBoost). Conclusions: Pelvic skeletal-muscle RFs from routine pMRI associate with MACE in PCa. These RFs may enable noninvasive cardio-oncology risk stratification, supporting evidence that muscle strength predicts cardiac events. Prospective validation is warranted. RF (IBSI-style descriptive name) Context Test / HR (95 % CI) p/q value Direction Clinical Interpretation ColEGO S4 N3 Binary U = 3179, AUC = 0.65 p = 0.001, q = 0.01 Decreased in MACE Lower entropy means more homogeneous fiber pattern and healthier architecture. ColEGO S3 N3 Binary U = 3373, AUC = 0.63 p = 0.006, q = 0.03 Decreased in MACE Lower entropy reflects preserved muscle integrity and lower CVD risk. GLCM Correlation [Haralick (GLCMH) 3 S7 N3] Binary U = 5431, AUC = 0.60 p = 0.024 Increased in MACE Higher correlation suggests fibrotic/lipid texture linked to adverse remodeling. Gradient Magnitude Variance (GMV) S4 N3 Binary U = 3568, AUC = 0.6 p = 0.024 Decreased in MACE Lower variance suggests smoother edges and uniform density in healthy muscle. GLCMH 3 S8 N4 Binary + Survival U = 3605, AUC = 0.6 / HR = 0.68 (0.50–0.93) p = 0.030 / 0.016 Decreased in MACE (lower hazard) Greater uniformity implies preserved myofiber structure and reduced event risk. GLCMH 3 S8 N3 Survival HR = 0.47 (0.22–0.99) p = 0.046 Decreased in MACE (lower hazard) Predictable texture patterns associate with lower cardiovascular risk. GMV S12 N3 Survival HR = 1.12 (1.01–1.25) p = 0.039 Increased in MACE (higher hazard) Larger-scale variance indicates heterogeneous architecture consistent with fibrosis.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (19)
Harikrishnan Hyma Kunhiraman
Medical College of Georgia at Augusta University, Augusta, Georgia, United States
Sena Azamat
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA
Abhishek Midya
Emory University, Atlanta, GA
Gourav Modanwal
Emory University, Atlanta, Georgia, United States
Tarek Nahle
Augusta University, Augusta, Georgia, United States
Viraj R. Shah
Division of Cardiology, Department of Medicine, Medical College of Georgia at Augusta University, Augusta, GA
Kutsev Bengisu Ozyoruk
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA
Omar M. Elsayed
Cardio-Oncology Program, Medical College of Georgia at Augusta University, Augusta, GA
Liping Li
Todd Villines
University of Virginia, Charlottesville, Virginia, United States
Pardeep Mittal
Augusta University, Augusta, GA
Sagar Anil Patel
Department of Radiation Oncology, Emory University, Atlanta, GA
Rakesh Shiradkar
Emory University, Atlanta, GA
Nickolas Stabellini
Case Western Reserve University and University Hospitals Cleveland Medical Center, Cleveland, OH
Priyanshu Nain
Adventhealth Redmond, Rome, Georgia, United States
Marly van Assen
Neal L. Weintraub
Anant Madabhushi
Avirup Guha