Evaluation of clinical and imaging biomarkers for the prediction of new onset diabetes following pancreatic resection

Ashley L. Donovan, Alessandro Furlan*, Amir A. Borhani, Ashley Kalor, Li Wang, Irene Epelboym Rossmer, J. Wallis Marsh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Purpose: To identify clinical and imaging biomarkers that can predict the new onset of diabetes mellitus (NODM) within 1 year of pancreatic resection. Methods: A retrospective chart review was conducted of 426 non-diabetic patients who underwent a pancreaticoduodenectomy or distal pancreatectomy at the University of Pittsburgh Medical Center between 2006 and 2016. Clinical characteristics and the patient’s diabetic status at 1-year post resection were collected from the EMR. Imaging biomarkers included hepatic and pancreatic fat replacement, pancreatic calcifications, pancreatic duct diameter, pancreatic volume and body composition. Univariate and multivariable analyses were performed to demonstrate any predictive biomarkers of diabetes occurrence within 1 year of pancreatic resection. Results: 135/426 (31.7%) patients developed NODM. The only significant clinical predictor was older age (OR 1.02, 95% CI 1.002–1.039, p = 0.032). Imaging characteristics found to be significant included hepatic steatosis (OR 1.777, 95% CI 1.094–2.886, p = 0.02), larger reduction in pancreas volume (OR 0.989, 95% CI 0.979–0.999, p = 0.027), and greater preoperative visceral fat (OR 1.004, 95% CI 1.001–1.006, p = 0.001). Conclusion: Age, presence of hepatic steatosis, change in pancreatic volume, and preoperative visceral fat are independent predictive biomarkers for NODM following pancreatic resection.

Original languageEnglish (US)
Pages (from-to)2628-2636
Number of pages9
JournalAbdominal Radiology
Issue number6
StatePublished - Jun 2021


  • Computed tomography
  • Diabetes
  • Hepatic steatosis
  • Pancreatic resection

ASJC Scopus subject areas

  • Gastroenterology
  • Urology
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Evaluation of clinical and imaging biomarkers for the prediction of new onset diabetes following pancreatic resection'. Together they form a unique fingerprint.

Cite this