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Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?

Publication ,  Journal Article
Zambirinis, CP; Midya, A; Chakraborty, J; Chou, JF; Zheng, J; McIntyre, CA; Koszalka, MA; Wang, T; Do, RK; Balachandran, VP; Drebin, JA ...
Published in: Annals of Surgical Oncology
August 1, 2022

Background: Liver metastasis (LM) after pancreatic ductal adenocarcinoma (PDAC) resection is common but difficult to predict and has grave prognosis. We combined preoperative clinicopathological variables and quantitative analysis of computed tomography (CT) imaging to predict early LM. Methods: We retrospectively evaluated patients with PDAC submitted to resection between 2005 and 2014 and identified clinicopathological variables associated with early LM. We performed liver radiomic analysis on preoperative contrast-enhanced CT scans and developed a logistic regression classifier to predict early LM (< 6 months). Results: In 688 resected PDAC patients, there were 516 recurrences (75%). The cumulative incidence of LM at 5 years was 41%, and patients who developed LM first (n = 194) had the lowest 1-year overall survival (OS) (34%), compared with 322 patients who developed extrahepatic recurrence first (61%). Independent predictors of time to LM included poor tumor differentiation (hazard ratio (HR) = 2.30; P < 0.001), large tumor size (HR = 1.17 per 2-cm increase; P = 0.048), lymphovascular invasion (HR = 1.50; P = 0.015), and liver Fibrosis-4 score (HR = 0.89 per 1-unit increase; P = 0.029) on multivariate analysis. A model using radiomic variables that reflect hepatic parenchymal heterogeneity identified patients at risk for early LM with an area under the receiver operating characteristic curve (AUC) of 0.71; the performance of the model was improved by incorporating preoperative clinicopathological variables (tumor size and differentiation status; AUC = 0.74, negative predictive value (NPV) = 0.86). Conclusions: We confirm the adverse survival impact of early LM after resection of PDAC. We further show that a model using radiomic data from preoperative imaging combined with tumor-related variables has great potential for identifying patients at high risk for LM and may help guide treatment selection.

Duke Scholars

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Published In

Annals of Surgical Oncology

DOI

EISSN

1534-4681

ISSN

1068-9265

Publication Date

August 1, 2022

Volume

29

Issue

8

Start / End Page

4962 / 4974

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis
 

Citation

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Zambirinis, C. P., Midya, A., Chakraborty, J., Chou, J. F., Zheng, J., McIntyre, C. A., … Jarnagin, W. R. (2022). Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis? Annals of Surgical Oncology, 29(8), 4962–4974. https://doi.org/10.1245/s10434-022-11579-0
Zambirinis, C. P., A. Midya, J. Chakraborty, J. F. Chou, J. Zheng, C. A. McIntyre, M. A. Koszalka, et al. “Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?Annals of Surgical Oncology 29, no. 8 (August 1, 2022): 4962–74. https://doi.org/10.1245/s10434-022-11579-0.
Zambirinis CP, Midya A, Chakraborty J, Chou JF, Zheng J, McIntyre CA, et al. Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis? Annals of Surgical Oncology. 2022 Aug 1;29(8):4962–74.
Zambirinis, C. P., et al. “Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?Annals of Surgical Oncology, vol. 29, no. 8, Aug. 2022, pp. 4962–74. Scopus, doi:10.1245/s10434-022-11579-0.
Zambirinis CP, Midya A, Chakraborty J, Chou JF, Zheng J, McIntyre CA, Koszalka MA, Wang T, Do RK, Balachandran VP, Drebin JA, Kingham TP, D’Angelica MI, Allen PJ, Gönen M, Simpson AL, Jarnagin WR. Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis? Annals of Surgical Oncology. 2022 Aug 1;29(8):4962–4974.
Journal cover image

Published In

Annals of Surgical Oncology

DOI

EISSN

1534-4681

ISSN

1068-9265

Publication Date

August 1, 2022

Volume

29

Issue

8

Start / End Page

4962 / 4974

Related Subject Headings

  • Oncology & Carcinogenesis
  • 3211 Oncology and carcinogenesis
  • 1112 Oncology and Carcinogenesis