ArticleJournal of applied clinical medical physics2026
Integration of sarcopenia screening into radiotherapy planning: Validation of a time-efficient SMI measurement method using MIM software in prostate cancer.
Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Integration of sarcopenia screening into radiotherapy planning: Validation of a time-efficient SMI measurement method using MIM software in prostate cancer.Journal of applied clinical medical physics · 2026Article
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8 authors.
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Abstract
backgroundSarcopenia (SP) affects 43.8% of men with prostate cancer (PCa), correlating with higher all-cause mortality and reduced quality of life. Systematic SP screening could reduce treatment complications and improve prognosis. Although several validated software tools exist for CT-based skeletal muscle assessment, their implementation in routine clinical practice remains limited due to time constraints, operator dependency, and lack of integration into radiotherapy planning systems. PURPOSE: We aimed to validate a new SP screening method using MIM® software, a program commonly used in radiotherapy planning, to facilitate its implementation in daily practice.
methodsIn 41 patients with PCa, Skeletal Muscle Index (SMI) was retrospectively calculated using MIM® and compared with the validated ImageJ® method. Agreement was assessed via Bland-Altman analysis, while sarcopenic status was classified using literature-based SMI thresholds. Measurement time and reproducibility were evaluated using Wilcoxon tests, Intraclass Correlation Coefficient (ICC), and Fleiss kappa coefficients (κ). Additionally, an automated MIM-workflow was developed and compared to the semi-manual MIM-method in terms of agreement and processing time.
resultsThe cohort had a median age of 71 years, with 66% overweight or obese and 22% classified as sarcopenic. The new method demonstrated high concordance with the validated method (mean SMI difference: -0.04 cm
conclusionMIM® software provides a reproducible, reliable, and time-efficient alternative for SP screening, allowing radiation-oncologists to implement this assessment immediately into routine radiotherapy planning. Although the automated MIM-workflow requires further calibration to correct for systematic SMI overestimation, it represents a promising step toward full automation and broader clinical integration of SP assessment within radiation-oncology.
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