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Performance of CT-based radiomics in diagnosis of superior mesenteric vein resection margin in patients with pancreatic head cancer.

Authors :
Bian, Yun
Jiang, Hui
Ma, Chao
Cao, Kai
Fang, Xu
Li, Jing
Wang, Li
Zheng, Jianming
Lu, Jianping
Source :
Abdominal Radiology. Mar2020, Vol. 45 Issue 3, p759-773. 15p. 1 Diagram, 4 Charts, 5 Graphs.
Publication Year :
2020

Abstract

Objectives: To accurately identify the relationship between a portal radiomics score (rad-score) and pathologic superior mesenteric vein (SMV) resection margin and to evaluate the diagnostic performance in patients with pancreatic head cancer. Materials and methods: A total of 181 patients with postoperatively and pathologically confirmed pancreatic head cancer who underwent multislice computed tomography within one month of resection between January 2016 and December 2018 were retrospectively investigated. For each patient, 1029 radiomics features of the portal phase were extracted, which were reduced using the least absolute shrinkage and selection operator (LASSO) logistic regression algorithm. Multivariate logistic regression models were used to analyze the association between the portal rad-score and SMV resection margin. Results: Patients with negative (R0) and positive (R1) margins accounted for 70.17% (127) and 29.83% (54) of the cohort, respectively. The rad-score was significantly associated with the SMV resection margin status (p < 0.05). Multivariate analyses confirmed a significant and independent association between the portal rad-score and SMV resection margin (OR 4.62; 95% CI 2.19–9.76; p < 0.0001). The portal rad-score had high accuracy (area under the curve = 0.750). The best cut point based on maximizing the sum of sensitivity and specificity was − 0.741 (sensitivity = 64.8%; specificity = 74.0%; accuracy = 71.3%). Decision curve analysis indicated the clinical usefulness of radiomics score. Conclusions: The portal rad-score is significantly associated with the pathologic SMV resection margin, and it can accurately and noninvasively predict the SMV resection margin in patients with pancreatic cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2366004X
Volume :
45
Issue :
3
Database :
Academic Search Index
Journal :
Abdominal Radiology
Publication Type :
Academic Journal
Accession number :
141916766
Full Text :
https://doi.org/10.1007/s00261-019-02401-9