Literature DB >> 27426676

Comparison of preoperative CT-based imaging parameters to predict postoperative pancreatic fistula.

K J Roberts1, S Karkhanis2, M Pitchaimuthu1, M S Khan1, J Hodson1, Z Zia1, H Mehrzad1, R Marudanayagam1, P Muiesan1, J Isaac1, D Mirza1, R P Sutcliffe1.   

Abstract

AIM: To review all reported methods of preoperative computed tomography (CT) in one patient cohort and to identify which were the strongest to predict postoperative pancreatic fistula (POPF) after pancreatoduodenectomy.
MATERIALS AND METHODS: Consecutive patients undergoing pancreatoduodenectomy were included if they had unenhanced CT images for review. Eighteen variables and two scores were tested. Receiver operator characteristics (ROC) were explored.
RESULTS: POPF affected 26 of 107 patients (24.3%). Nine variables were significantly related to POPF with pancreatic duct width having the largest area under the ROC curve (AUROC; 0.808, p<0.001). An obese body habitus was associated with POPF with six of nine related variables using data from CT images associated with POPF; of these intra-abdominal wall thickness yielded the largest AUROC (0.713, p=0.001). This corresponded to the finding that body mass index (BMI) was related to POPF (AUROC 0.705, p=0.002). The largest AUROC of all was associated with one of the predictive scores (0.828, p<0.001). Substituting BMI for intra-abdominal wall thickness in this score yielded a non-significant increase to predict POPF (AUROC 0.840, p=0.676). None of the assessments of organ density (in Hounsfield Units) were associated with POPF.
CONCLUSION: Data from preoperative CT imaging provides valuable information regarding a patient's risk of POPF. Obesity as assessed by CT images strongly relates to POPF, but the largest single risk factor for POPF is a narrow pancreatic duct. Crown
Copyright © 2016. Published by Elsevier Ltd. All rights reserved.

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Year:  2016        PMID: 27426676     DOI: 10.1016/j.crad.2016.06.108

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  6 in total

1.  Pancreatic Fat and Body Composition Measurements by Computed Tomography are Associated with Pancreatic Fistula After Pancreatectomy.

Authors:  Katsuhito Tanaka; Suguru Yamada; Fuminori Sonohara; Hideki Takami; Masamichi Hayashi; Mitsuro Kanda; Daisuke Kobayashi; Chie Tanaka; Goro Nakayama; Masahiko Koike; Michitaka Fujiwara; Yasuhiro Kodera
Journal:  Ann Surg Oncol       Date:  2020-05-20       Impact factor: 5.344

2.  Preoperative risk evaluation for pancreatic fistula after pancreaticoduodenectomy.

Authors:  Ryan J Ellis; D Brock Hewitt; Jason B Liu; Mark E Cohen; Ryan P Merkow; David J Bentrem; Karl Y Bilimoria; Anthony D Yang
Journal:  J Surg Oncol       Date:  2019-04-05       Impact factor: 3.454

3.  Power of computed-tomography-defined sarcopenia for prediction of morbidity after pancreaticoduodenectomy.

Authors:  Nicolas Linder; Alexander Schaudinn; Katharina Langenhan; Felix Krenzien; Hans-Michael Hau; Christian Benzing; Georgi Atanasov; Moritz Schmelzle; Thomas Kahn; Harald Busse; Michael Bartels; Ulf Neumann; Georg Wiltberger
Journal:  BMC Med Imaging       Date:  2019-04-27       Impact factor: 1.930

4.  Predictive factors of postoperative pancreatic fistula after laparoscopic pancreatoduodenectomy.

Authors:  Jikuan Jin; Guangbing Xiong; Jiali Li; Xingjun Guo; Min Wang; Zhen Li; Feng Zhu; Renyi Qin
Journal:  Ann Transl Med       Date:  2021-01

5.  Excess intraoperative fluid volume administration is associated with pancreatic fistula after pancreaticoduodenectomy: A retrospective multicenter study.

Authors:  In Woong Han; Hongbeom Kim; JinSeok Heo; Min Gu Oh; Yoo Shin Choi; Seung Eun Lee; Chang-Sup Lim
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

6.  Preoperative Computed Tomography Imaging of the Pancreas Identifying Predictive Factors for the Progression of Grade A, or Biochemical Leak, to Grade B Postoperative Pancreatic Fistula Following Pancreaticoduodenectomy: A Retrospective Study.

Authors:  Feng-Hao Liu; Xiao-Zhong Jiang; Bin Huang; Yu Yu
Journal:  Med Sci Monit       Date:  2021-02-25
  6 in total

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