Adjuvant therapy for pancreatic body or tail adenocarcinoma: a study of the National Cancer Database
Date
2019Journal
Therapeutic Advances in Medical OncologyPublisher
SAGE Publications Inc.Type
article
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Background: The optimal multimodality therapy for pancreatic ductal adenocarcinoma in the body or tail of the pancreas (PDAC-BT) is unclear. The purpose of this study was to compare overall 5-year survival between patients treated with adjuvant chemotherapy, adjuvant chemoradiation, and surgery alone. Methods: Patients from the National Cancer Database (1998–2012) with resected stage I or II PDAC-BT were included. Overall survival between the three treatment groups was compared using Cox proportional-hazards regression, propensity-score matching, and the Kaplan–Meier method. Results: Of the 700 patients included in the analysis, 189 (27%) were treated with chemotherapy, 226 (32%) were treated with chemoradiation, and 285 (41%) were treated with surgery alone. Chemoradiation was associated with higher survival than surgery alone [adjusted hazard ratio (HRadj): 0.67; 95% confidence interval (CI): 0.54, 0.84; p = 0.001], but there was no difference between chemotherapy and chemoradiation (HRadj: 0.82; 95% CI: 0.65, 1.05; p = 0.115). In propensity-score matched cohorts, median survival was 24.1 months (95% CI: 20.4, 28.4) with chemotherapy and 25.4 months (95% CI: 22.1, 31.7) with chemoradiation (log-rank p = 0.122). Among patients with positive resection margins, chemoradiation was associated with higher survival compared with chemotherapy (HRadj: 0.54; 95% CI: 0.32, 0.92; p = 0.022). In this subgroup of the propensity-score matched cohorts, median survival was 9.5 months (95% CI: 8.4, 16.0) with chemotherapy and 18.3 months (95% CI: 11.6, 26.3) with chemoradiation (log-rank p = 0.011). Conclusion: In patients with resected pancreatic body or tail adenocarcinoma, adjuvant chemoradiation was associated with higher survival compared with surgery alone. Among patients with positive resection margins, adjuvant chemoradiation was associated with higher survival compared with adjuvant chemotherapy. Copyright The Author(s), 2019.Keyword
adjuvant therapychemoradiation
chemotherapy
distal pancreatectomy
distal pancreatic cancer
National Cancer Database
pancreatic body adenocarcinoma
pancreatic cancer
pancreatic tail adenocarcinoma
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065257840&doi=10.1177%2f1758835919842438&partnerID=40&md5=c3c44b5f0c26d20e5a4e5d80d879ed9e; http://hdl.handle.net/10713/10252ae974a485f413a2113503eed53cd6c53
10.1177/1758835919842438
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Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT ImagesRen, S.; Zhang, J.; Chen, R. (Frontiers Media S.A., 2019)Purpose: To investigate the potential of computed tomography (CT) imaging features and texture analysis to differentiate between mass-forming pancreatitis (MFP) and pancreatic ductal adenocarcinoma (PDAC). Materials and Methods: Thirty patients with pathologically proved MFP and 79 patients with PDAC were included in this study. Clinical data and CT imaging features of the two lesions were evaluated. Texture features were extracted from arterial and portal phase CT images using commercially available software (AnalysisKit). Multivariate logistic regression analyses were used to identify relevant CT imaging and texture parameters to discriminate MFP from PDAC. Receiver operating characteristic curves were performed to determine the diagnostic performance of predictions. Results: MFP showed a larger size compared to PDAC (p = 0.009). Cystic degeneration, pancreatic ductal dilatation, vascular invasion, and pancreatic sinistral portal hypertension were more frequent and duct penetrating sign was less frequent in PDAC compared to MFP. Arterial CT attenuation, arterial, and portal enhancement ratios of MFP were higher than PDAC (p < 0.05). In multivariate analysis, arterial CT attenuation and pancreatic duct penetrating sign were independent predictors. Texture features in arterial phase including SurfaceArea, Percentile40, InverseDifferenceMoment_angle90_offset4, LongRunEmphasis_angle45_offset4, and uniformity were independent predictors. Texture features in portal phase including LongRunEmphasis_angle135_offset7, VoxelValueSum, LongRunEmphasis_angle135_offset4, and GLCMEntropy_angle45_offset1 were independent predictors. Areas under the curve of imaging feature-based, texture feature-based in arterial and portal phases, and the combined models were 0.84, 0.96, 0.93, and 0.98, respectively. Conclusions: CT texture analysis demonstrates great potential to differentiate MFP from PDAC. Copyright 2019 The Authors.