scholarly journals AB058. P030. The 8th versus the 7th edition of the AJCC Cancer Staging Manual in predicting the prognosis of pancreatic ductal adenocarcinoma

2018 ◽  
Vol 1 (1) ◽  
pp. AB058-AB058
Author(s):  
Hongyu Chen ◽  
Keyu Li ◽  
Xubao Liu
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Cancer Staging ◽  
Ductal Adenocarcinoma ◽  
7Th Edition

scholarly journals Joint Radiomics Analysis on 18F-FDG-PET-MRI of Primary Tumor to Predict the Risk of Synchronous Distant Metastasis in Pancreatic Ductal Adenocarcinoma

2021 ◽  
Author(s):  
Jing Gao ◽  
Yaya Bai ◽  
Fei Miao ◽  
Xinyun Huang ◽  
Markus Schwaiger ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Distant Metastasis ◽  
Primary Tumor ◽  
Fdg Pet ◽  
Area Under The Curve ◽  
Cancer Staging ◽  
Ductal Adenocarcinoma ◽  
Clinical Indicators ◽  
Fdg Pet Ct ◽  
Synchronous Distant Metastasis

Abstract PurposeThis study explores the potential of joint radiomics analysis of PET-MRI of primary pancreatic ductal adenocarcinoma (PDAC) tumor in predicting the risk of synchronous distant metastasis (SDM).MethodsTwo cohorts of PDAC patients were collected including a development cohort (n=66) receiving separate 18F-FDG-PET/CT and multi-sequence MRI, and a external test cohort (n=25) receiving hybrid PET/MR. All of these patients were confirmed with SDM after imaging. Radiomics features of primary PDAC tumors were selected and models were built for PET, MRI, and PET-MRI from the development cohort. A radiomics nomogram was constructed by combining independent clinical indicators. The developed radiomics nomogram was independently evaluated on the test cohort. ResultsThe area under the curve (AUC) values of PET, MRI, and joint PET-MRI models were 0.89, 0.86, and 0.94 in the training set and 0.77, 0.67, and 0.77 in the test set. The radiomics nomogram combing the joint PET-MRI radiomics signature, age, and CA19-9 level had good calibration and high discrimination capacity with maximum AUC value (0.93). The decision curve analysis (DCA) confirmed the radiomics nomogram had clinical usefulness. The evaluation on the independent test cohort showed that the accuracy, sensitivity, specificityand AUC values of radiomics nomogram were 84.0%, 78.6%, 90.9% and 0.85.ConclusionThe robust and effective prediction of the risk of SDM for the preoperative PDAC patients confirmed the potential of the radiomics analysis on PET/MR. The radiomics information in primary tumor may provide complementary and alerting hints for cancer staging.

scholarly journals Mast Cells Density Positive to Tryptase Correlates with Angiogenesis in Pancreatic Ductal Adenocarcinoma Patients Having Undergone Surgery

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Michele Ammendola ◽  
Rosario Sacco ◽  
Giuseppe Sammarco ◽  
Giuseppe Donato ◽  
Valeria Zuccalà ◽  
...  
Keyword(s):  
Mast Cells ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Primary Tumour ◽  
Antiangiogenic Therapy ◽  
Cancer Staging ◽  
Tumour Tissue ◽  
Ductal Adenocarcinoma ◽  
Tissue Samples

Background. Literature data suggest that cells such as mast cells (MCs), are involved in angiogenesis. MCs can stimulate angiogenesis by releasing of several proangiogenic cytokines stored in their cytoplasm. In particular MCs can release tryptase, a potentin vivoandin vitroproangiogenic factor. Nevertheless few data are available concerning the role of MCs positive to tryptase in primary pancreatic cancer angiogenesis. This study analyzed MCs and angiogenesis in primary tumour tissue from patients affected by pancreatic ductal adenocarcinoma (PDAC).Method. A series of 31 PDAC patients with stageT2-3N0-1M0(by AJCC for Pancreas Cancer Staging 7th Edition) was selected and then underwent surgery. Tumour tissue samples were evaluated by means of immunohistochemistry and image analysis methods in terms of number of MCs positive to tryptase (MCDPT), area occupied by MCs positive to tryptase (MCAPT), microvascular density (MVD), and endothelial area (EA). The above parameters were related to each other and to the main clinicopathological features.Results. A significant correlation between MCDPT, MCAPT, MVD, and EA group was found by Pearson’st-test analysis (rranged from 0.69 to 0.81;Pvalue ranged from 0.001 to 0.003). No other significant correlation was found.Conclusion. Our pilot data suggest that MCs positive to tryptase may play a role in PDAC angiogenesis and they could be further evaluated as a novel tumour biomarker and as a target of antiangiogenic therapy.

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