H. Lee Moffitt Cancer Center and Research Institute
This observational study aims to (1) validate a multimodal artificial intelligence (AI) model for early detection of cancer-associated cachexia in pancreatic cancer patients and (2) assess the feasibility and acceptability of diet and exercise interventions for cachexia management. The study will use retrospective data from the Florida Pancreas Collaborative and prospective data from newly diagnosed patients at Moffitt Cancer Center.
Inclusion Criteria: * Age ≥ 18 years * Histologically or cytologically confirmed diagnosis of pancreatic exocrine malignancy (e.g.pancreatic ductal adenocarcinoma, acinar cell carcinoma, pancreatic adenosquamous carcinoma, etc.) or clinical features highly suggestive of such malignancy with diagnostic confirmation anticipated during the screening or early study period. * Presentation consistent with resectable, borderline resectable, local, or locally advanced, or metastatic disease * May or may not have had surgery * Treatment plan likely includes systemic therapy for pancreatic cancer * ECO…
Dietary questionnaire (VioScreen), symptom and QoL surveys (ESAS-r, FAACT, PROMIS PF, PG-SGA), physical activity survey (Modified GLTEQ), functional fitness tests, DEXA scans, blood draws.
Wearable monitoring (Fitbit) and diet/physical activity preference survey at 9 months.
One-time structured survey assessing integration of diet and exercise interventions into clinical workflow.
Arctuva estimate
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