Endoscopic ultrasound and computed tomography predictors of pancreatic cancer resectability

J Gastrointest Surg. 2008 Jan;12(1):10-6; discussion 16. doi: 10.1007/s11605-007-0373-y. Epub 2007 Oct 23.


Introduction: This study investigates the ability of endoscopic ultrasound (EUS) and computed tomography (CT) to predict a margin negative (R0) resection and the need for venous resection in patients undergoing pancreaticoduodenectomy (PD).

Methods: Patients with pancreatic head adenocarcinoma undergoing surgery with intent to resect during the last 5 years were identified. EUS and CT data on vascular involvement were collected. Preoperative imaging was compared to intraoperative findings and final pathology. Contingency table analysis using Fisher's exact test identified imaging features of EUS and CT associated with unresectability and positive margins.

Results: Seventy-six patients met study criteria. Forty-seven (62%) underwent potentially curative PD. The R0 resection rate was 70%. There were 16 unresectable patients because of locally advanced disease. Venous involvement>180 degrees and arterial involvement>90 degrees by CT had 100% positive predictive value for failure to achieve R0 resection (p<.01). If patients with prestudy biliary stents were excluded, EUS venous abutment or invasion also predicted R0 failure (p=.02). Combined but not individual EUS and CT findings were predictive of need for vein resection.

Conclusions: Pancreas protocol CT imaging appears to be a better predictor of resectability compared to EUS. EUS accuracy is affected by the presence of biliary stents.

Publication types

  • Comparative Study

MeSH terms

  • Adenocarcinoma / diagnosis*
  • Adenocarcinoma / surgery
  • Endosonography / methods*
  • Female
  • Follow-Up Studies
  • Humans
  • Male
  • Middle Aged
  • Neoplasm Invasiveness
  • Neoplasm Staging / methods
  • Pancreatic Neoplasms / diagnosis*
  • Pancreatic Neoplasms / surgery
  • Pancreaticoduodenectomy / methods*
  • Predictive Value of Tests
  • Retrospective Studies
  • Severity of Illness Index
  • Tomography, X-Ray Computed / methods*