Artificial Intelligence-Based Skeletal Muscle Estimates and Outcomes of Endoscopic Ultrasound-Guided Treatment of Pancreatic Fluid Collections

Background and Aims Skeletal muscle status may impact clinical outcomes of a variety of pancreatic diseases. Skeletal muscle quality and quantity have not been fully examined in relation to the outcomes of endoscopic ultrasound (EUS)-guided treatment of pancreatic fluid collections (PFCs). Methods Using a multi-institutional cohort of 372 patients receiving EUS-guided treatment of PFCs in 2010-2020, we examined the association of skeletal muscle status with adverse outcomes including clinical treatment failure and in-hospital mortality. Utilizing an in-house deep learning-based platform for pre-procedural computed tomography images, we calculated skeletal muscle density (SMD) and skeletal muscle index (SMI, height-adjusted muscle area) as surrogates for muscular quality and quantity, respectively. Multivariable logistic regression analysis was conducted to calculate odds ratios (ORs) for adverse outcomes. Results Lower-level SMD was associated with higher risks of clinical failure and in-hospital mortality (Ptrend < 0.001). The adjusted OR for clinical failure comparing the extreme quartiles was 3.64 (95% confidence interval, 1.52-8.72). Compared with patients in the top two quartiles, patients in the lowest quartile had an adjusted OR for in-hospital mortality of 12.4 (95% confidence interval, 3.43-44.8). We observed no effect modification by the PFC types on the SMD-outcome relationship (Pinteraction > 0.16). SMD was not associated with the risk of procedure-related adverse events or PFC recurrence. SMI was not associated with adverse outcomes (Ptrend > 0.39). Conclusions In patients with endoscopically managed PFCs, SMD, but not SMI, was associated with the risks of clinical failure and in-hospital mortality, supporting the prognostic role of skeletal muscle quality.