Literature DB >> 32841360

Prognostic Value of Lymph Node Status for Actual Long-Term Survival in Resected Pancreatic Cancer.

Hipolito Durán1, Sergio Olivares1, Benedetto Ielpo2, Yolanda Quijano3, Riccardo Caruso1, Valentina Ferri1, Luis Malavé1, Isabel Fabra1, Eduardo Díaz1, Angelo D'Ovidio1, Rúben Angresott1, Emilio Vicente3.   

Abstract

BACKGROUND: The prognostic factors for long-term survival after curative resection of pancreatic adenocarcinoma are still poorly understood. The purpose of this study was to identify the prognostic factors of long-term survival after resection of pancreatic adenocarcinoma based on actual 5-year survival including different lymph node status classifications.
METHOD: A total of 106 patients who underwent pancreatectomy were enrolled at our institution and retrospectively analyzed according to actual survival (> vs < 5 years), as well as several currently available node classifications: N0/N1, N0/N1/N2, and lymph-node ratio (LNR) including multivariate logistic regression.
RESULTS: The actual 5-year overall survival rate of the series was 12.26%. In a univariate analysis, operative blood loss and blood transfusion, completion of adjuvant treatment, histological differentiation, perineural invasion, N0/N1, N0/N1/N2 and LNR were significant predictive factors for actual long-term survival. A multivariate analysis showed that only N0/N1 was an independent predictive factor for actual 5-year survival (OR: 1.593; 0.730-1.325; p= 0.264).
CONCLUSION: The nodal involved status is the strongest independent unfavorable factor for actual long-term survival after pancreatic resection for adenocarcinoma.

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Year:  2020        PMID: 32841360

Source DB:  PubMed          Journal:  Surg Technol Int        ISSN: 1090-3941


  2 in total

1.  Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.

Authors:  Chao An; Dongyang Li; Sheng Li; Wangzhong Li; Tong Tong; Lizhi Liu; Dongping Jiang; Linling Jiang; Guangying Ruan; Ning Hai; Yan Fu; Kun Wang; Shuiqing Zhuo; Jie Tian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-10-15       Impact factor: 9.236

2.  One 3D VOI-based deep learning radiomics strategy, clinical model and radiologists for predicting lymph node metastases in pancreatic ductal adenocarcinoma based on multiphasic contrast-enhanced computer tomography.

Authors:  Hongfan Liao; Junjun Yang; Yongmei Li; Hongwei Liang; Junyong Ye; Yanbing Liu
Journal:  Front Oncol       Date:  2022-09-09       Impact factor: 5.738

  2 in total

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