Literature DB >> 31178397

Remnant pancreatic volume as an indicator of poor prognosis in pancreatic cancer patients after resection.

Ryoichi Miyamoto1, Yukio Oshiro2, Naoki Sano3, Satoshi Inagawa3, Nobuhiro Ohkohchi2.   

Abstract

BACKGROUND: Remnant pancreatic volume (RPV) is a well-known marker for short-term outcomes in pancreatic cancer patients after resection. However, in terms of the long-term outcomes, the significance of the RPV value remains unclear. Here, we address whether the RPV value is a predictor of the long-term outcomes in pancreatic cancer patients after resection by comparing various cancer-, patient-, and surgery-related prognostic factors and systemic inflammatory response markers in a retrospective cohort.
METHODS: The RPV was measured on a three-dimensional (3D) image, revealing the actual pancreatic parenchymal remnant volume. Ninety-one patients who underwent pancreaticoduodenectomy were retrospectively enrolled. We divided the cohort into high- and low-RPV groups based on a cut-off value (>31.5 cm3, n = 66 and ≤31.5 cm3, n = 25, respectively). The median survival times (MSTs) were compared between the two groups. Using multivariate analysis, the RPV and other well-known prognostic factors were independently assessed.
RESULTS: The MSTs (days) were significantly different between the two groups (high, 823 vs. low, 482, p = 0.001). Multivariate analysis identified the RPV (≤31.5 cm3) (hazard ratio [HR], 2.015; p = 0.011), lymph node metastasis (HR, 8.415; p = 0.002), lack of adjuvant chemotherapy (HR, 5.352; p < 0.001), stage III/IV disease (HR, 2.352; p = 0.029), and pathological fibrosis (HR, 1.771; p = 0.031) as independent prognostic factors.
CONCLUSIONS: The present study suggests that the RPV value is also useful for predicting long-term outcomes in pancreatic cancer patients after resection.
Copyright © 2019 IAP and EPC. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D simulation; Pancreatic cancer; Pancreatic surgery; Pancreatic volume; Prognostic factor

Mesh:

Year:  2019        PMID: 31178397     DOI: 10.1016/j.pan.2019.05.464

Source DB:  PubMed          Journal:  Pancreatology        ISSN: 1424-3903            Impact factor:   3.996


  1 in total

1.  Distribution and Characteristics of Pancreatic Volume Using Computed Tomography Volumetry.

Authors:  Jihyun Yoon; Kwang Gi Kim; Young Jae Kim; Sangheon Lim; Yeon-Ho Park; Doojin Kim; Hee-Taik Kang; Doo-Ho Lee
Journal:  Healthc Inform Res       Date:  2020-10-31
  1 in total

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