Development of a radiomics nomogram based on the CE-CT features to predict the survival of upfront resectable patients with pancreatic head cancer and suspected venous invasion

Abstract only e15760 Background: Pancreatic head adenocarcinoma is commonly diagnosed at an advanced stage when adjacent vascular invasion is present. This study aimed to establish a radiomics nomogram by integrating radiomics signature and clinical predictors to estimate overall survival(OS) in pat...

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Bibliographic Details
Published inJournal of clinical oncology Vol. 37; no. 15_suppl; p. e15760
Main Authors Shen, Yinan, Tang, Tianyu, Bai, Xueli, Liang, Tingbo
Format Journal Article
LanguageEnglish
Published 20.05.2019
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Summary:Abstract only e15760 Background: Pancreatic head adenocarcinoma is commonly diagnosed at an advanced stage when adjacent vascular invasion is present. This study aimed to establish a radiomics nomogram by integrating radiomics signature and clinical predictors to estimate overall survival(OS) in patients who underwent attempted curative resectional surgery for pancreatic head cancer with suspected peri-pancreatic venous invasion. Methods: Data on patients with pancreatic head adenocarcinoma and suspected peripancreatic invasion who underwent pancreatic resection with venous reconstruction were retrospectively collected from 2012 to 2016 at two academic institutions. A total of 396 radiomics features were extracted from pretreatment CE-CT images of each patient. Least absolute shrinkage and selection operator (LASSO) regression was applied to select optimal features and generate a radiomics signature. The radiomics nomogram was developed by integrating the radiomics signature and clinical predictors. The performance of radiomics nomogram validated in the cohort of patients of second institution. Results: Radiomics signatures were significantly associated with pancreatic head adenocarcinoma patients' survival time. The radiomics nomogram combined with clinical predictors(CA-199 value, Peripancreatic venous abnormalities and Lymph node staging) provided good predictive accuracy of survival on calibration curves. The C-index of the model in predicting overall survival (OS) was 0.836 for the validation cohort. Conclusions: The nomogram accurately predicted OS in patients with pancreatic head cancer with suspected peripancreatic venous invasion after attempted curative pancreatic resectional surgery. These findings might aid clinicians with treatment decision-making and improve precise medicine.
ISSN:0732-183X
1527-7755
DOI:10.1200/JCO.2019.37.15_suppl.e15760