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Recurrence After Resection of Pancreatic Cancer: Can Radiomics Predict Patients at Greatest Risk of Liver Metastasis?
Zambirinis, Constantinos P; Midya, Abhishek; Chakraborty, Jayasree; Chou, Joanne F; Zheng, Jian; McIntyre, Caitlin A; Koszalka, Maura A; Wang, Tiegong; Do, Richard K; Balachandran, Vinod P; Drebin, Jeffrey A; Kingham, T Peter; D'Angelica, Michael I; Allen, Peter J; Gönen, Mithat; Simpson, Amber L; Jarnagin, William R.
Affiliation
  • Zambirinis CP; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Midya A; Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
  • Chakraborty J; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Chou JF; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Zheng J; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • McIntyre CA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Koszalka MA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Wang T; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Do RK; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Balachandran VP; Cangzhou Central Hospital, Cangzhou City, Hebei Province, China.
  • Drebin JA; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Kingham TP; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • D'Angelica MI; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Allen PJ; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Gönen M; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Simpson AL; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Jarnagin WR; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Ann Surg Oncol ; 29(8): 4962-4974, 2022 Aug.
Article in En | MEDLINE | ID: mdl-35366706
ABSTRACT

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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatic Neoplasms / Carcinoma, Pancreatic Ductal / Liver Neoplasms Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Ann Surg Oncol Journal subject: NEOPLASIAS Year: 2022 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pancreatic Neoplasms / Carcinoma, Pancreatic Ductal / Liver Neoplasms Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Ann Surg Oncol Journal subject: NEOPLASIAS Year: 2022 Type: Article Affiliation country: United States