Study of AI for Early Cachexia Detection and Diet-Exercise Support in Pancreatic Cancer Patients

What this Trial Is About

Researchers are evaluating a multimodal artificial intelligence AI model for the early detection of cancer-associated cachexia in patients with pancreatic cancer. This observational study also aims to assess how feasible and acceptable diet and exercise interventions are for managing cachexia. The study will analyze both retrospective data from the Florida Pancreas Collaborative and prospective data from newly diagnosed patients at Moffitt Cancer Center. Participants include patients with newly diagnosed pancreatic adenocarcinoma at various stages, along with oncology clinicians involved in their care. The study involves baseline lifestyle and symptom assessments using dietary questionnaires, quality of life and symptom surveys, physical activity surveys, functional fitness tests, DEXA scans, and blood draws. Extended monitoring includes wearable devices such as Fitbit, diet and activity preference surveys at 9 months, and a one-time survey to assess the integration of diet and exercise into clinical practice. During the study, participants will complete surveys and wear activity monitors for up to 9 months to track quality of life, physical activity changes, and adherence to wearable devices. Researchers will evaluate the AI models performance and survey completion rates. The study also monitors physical fitness and health status through tests and questionnaires to better understand cachexia management. This involvement helps gather comprehensive data on patient health and the practicality of lifestyle interventions in pancreatic cancer care.

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