Muscle atrophy and organ enlargement associated with quality of life during systemic therapy for melanoma: findings from an AI-based body composition analysis

Introduction: Health-related quality of life (HRQoL) is emerging as an endpoint, adjunct to survival, in cancer treatment. For this reason, the European Organization for Research and Treatment of Cancer (EORTC) has developed standardized quality-of-life questionnaires to collect patient-reported outcome measurement (PROM), which so far have been widely used in clinical trials to evaluate the impact of new drugs on cancer patients. However, while these questionnaires comprehensively describe patient functions, little is known about their association with patient characteristics. This study aims to bridge this gap and investigate the association between patient body composition and HRQoL. Materials and methods: A retrospective cohort of melanoma patients treated with systemic therapy who completed HRQoL questionnaires and had regular imaging follow-ups was included. The primary endpoint was the association between n = 116 AI-measured longitudinal volumes of thoracic and abdominal organs, subcutaneous and visceral fat, skeleton and muscles (estimated by TotalSegmentator), and physical functioning (PF), role functioning (RF) and fatigue (FA) (estimated by the EORTC-QLQ-C30). Results: The n = 358 patients were included. Our findings show larger liver, spleen, and gallbladder volumes associated with decreased PF and RF and an increase in FA (p < 0.05). Furthermore, larger muscle volumes were associated with an increase in PF and RF and a decrease in FA (p < 0.01). Discussion: Our findings show significant associations between AI-measured body and organ analysis and HRQoL in patients with melanoma on systemic treatment. Future research is needed to understand the underlying cause and determine the possible predictive ability of these imaging features. Key Points: Question Are changes in body composition associated with changes in HRQoL in melanoma patients undergoing systemic therapy? Findings AI-based body composition analysis shows that larger muscle volumes are linked to improved HRQoL, while organ enlargement is associated with a decline in it. Clinical relevance Our findings indicate new imaging biomarkers that can help monitor patients and evaluate treatment responses. These biomarkers link patient function to physical changes during treatment, offering insights for creating response evaluation criteria that also consider improvements in quality of life.