Predicting Pancreatic Cancer Resectability and Outcomes Based on an Objective Quantitative Scoring System. Issue 5 (May 2019)

• Record Type: Journal Article
• Authors: Toesca, Diego A.S.; Jeffrey, R. Brooke; von Eyben, Rie; Pollom, Erqi L.; Poullos, Peter D.; Poultsides, George A.; Fisher, George A.; Visser, Brendan C.; Koong, Albert C.; Chang, Daniel T.
• Is Part Of: Pancreas. Volume 48:Issue 5(2019)
• Publication Date: 2019-05
• Subjects: margins of excision -- multidetector computed tomography -- neoplasm invasiveness -- pancreatic ductal carcinoma -- pancreatic neoplasms; Pancreas -- Diseases -- Periodicals; Pancreas -- Periodicals; Neuroendocrine tumors -- Periodicals; 616.37005
• DOI: 10.1097/MPA.0000000000001314
• Languages: English
• ISSNs: 0885-3177

Abstract

Abstract : Objective: To quantitatively assess the probability of tumor resection based on measurements of tumor contact with the major peripancreatic vessels. Methods: This is a retrospective cohort study of pancreatic cancer patients treated between January 2001 and December 2015 in a single academic comprehensive cancer center. Radiographic measurements of the circumferential degree and length of solid tumor contact with major peripancreatic vessels were obtained from diagnostic pancreatic protocol computed tomography images and tested for correlation with tumor resection and margin status. Results: Of 294 patients analyzed, 113 (38%) were resected, with 71 (63%) with negative margins. Based on the individual measurements of vascular involvement, a resectability scoring system (RSS) was created. The RSS correlated strongly with resection ( P < 0.0001) and R0 resection ( P < 0.0001) probabilities. Moreover, the RSS correlated with overall survival ( P < 0.0001) and metastasis-free survival ( P < 0.0001), being able to substratify resectable ( P = 0.022) and unresectable patients ( P = 0.014) into subgroups with different prognosis based on RSS scores. Conclusions: Based on a comprehensive and systematic quantitative approach, we developed a scoring system that demonstrated excellent accuracy to predict tumor resection, surgical margin status, and prognosis. Abstract : Supplemental digital content is available in the text.