Literature DB >> 28807199

Prediction of difficult laparoscopic cholecystectomy for acute cholecystitis.

Hiromitsu Maehira1, Masayasu Kawasaki2, Aya Itoh2, Masao Ogawa2, Naoto Mizumura2, Sho Toyoda2, Satoshi Okumura2, Masao Kameyama2.   

Abstract

BACKGROUND: No report has described the predictive factor of surgical difficulty for laparoscopic cholecystectomy (LC) by preoperative computed tomography (CT) findings. This study aimed to investigate whether dynamic CT findings can predict the difficulty of LC for acute cholecystitis.
MATERIALS AND METHODS: Fifty-seven patients who underwent emergency LC and dynamic CT preoperatively were enrolled. Difficult LC (DLC) was defined as any patient with an operative time ≥3 h, bleeding volume ≥300 mL, common bile duct injury, partial cholecystectomy, the need for a second surgeon, and/or conversion to open surgery. Patients were assigned to either the DLC (+) or DLC (-) group. We determined the CT attenuation ratio of the arterial phase (ARAP) to represent the degree of transient focal enhancement of the liver adjacent to the gallbladder. The ARAP cutoff value for a DLC predictor was determined using receiver operating characteristic curve analysis. Patients' characteristics and CT findings, including the ARAP, were compared between the groups. The Fisher exact test for categorical variables and the Mann-Whitney U test for continuous variables with Bonferroni correction were used to evaluate the significance of differences.
RESULTS: Fifteen patients were assigned to the DLC (+) group. The ARAP was significantly higher in the DLC (+) group than in the DLC (-) group (P = 0.006). The ARAP cutoff value was 1.55. Regarding the CT findings, an ARAP ≥1.55 (P = 0.005) was significantly correlated with DLC.
CONCLUSIONS: Among dynamic CT findings, an increased ARAP is a predictive factor for DLC.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute cholecystitis; Attenuation value ratio; Difficult laparoscopic cholecystectomy; Dynamic computed tomography

Mesh:

Year:  2017        PMID: 28807199     DOI: 10.1016/j.jss.2017.05.008

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  7 in total

1.  Role of procalcitonin as a predictor in difficult laparoscopic cholecystectomy for acute cholecystitis case: A retrospective study based on the TG18 criteria.

Authors:  Tianchong Wu; Minjun Luo; Yuehua Guo; Jiangang Bi; Yusheng Guo; Shiyun Bao
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

2.  Predicting operative difficulty of laparoscopic cholecystectomy in patients with acute biliary presentations.

Authors:  Sarah Z Wennmacker; Nazim Bhimani; Aafke H van Dijk; Thomas J Hugh; Philip R de Reuver
Journal:  ANZ J Surg       Date:  2019-10-22       Impact factor: 1.872

3.  Difficult laparoscopic cholecystectomy and preoperative predictive factors.

Authors:  Giuseppe Di Buono; Giorgio Romano; Massimo Galia; Giuseppe Amato; Elisa Maienza; Federica Vernuccio; Giulia Bonventre; Leonardo Gulotta; Salvatore Buscemi; Antonino Agrusa
Journal:  Sci Rep       Date:  2021-01-28       Impact factor: 4.379

4.  Prediction of difficult laparoscopic cholecystectomy: An observational study.

Authors:  Tika Ram Bhandari; Sarfaraz Alam Khan; Jiuneshwar Lal Jha
Journal:  Ann Med Surg (Lond)       Date:  2021-11-14

5.  Pleural empyema caused by dropped gallstones after laparoscopic cholecystectomy for acute cholecystitis: a case report.

Authors:  Aya Tokuda; Hiromitsu Maehira; Hiroya Iida; Haruki Mori; Nobuhito Nitta; Takeru Maekawa; Katsushi Takebayashi; Sachiko Kaida; Toru Miyake; Ryo Kuroda; Haruka Yamamoto; Masaji Tani
Journal:  Surg Case Rep       Date:  2022-04-07

6.  Frequency-selective non-linear blending for the computed tomography diagnosis of acute gangrenous cholecystitis: Pilot retrospective evaluation.

Authors:  R Schwarz; N M Bongers; C Hinterleitner; H Ditt; K Nikolaou; J Fritz; H Bösmüller; M Horger
Journal:  Eur J Radiol Open       Date:  2018-07-29

7.  A new clinical-ultrasound score to predict difficult videolaparocholecystectomies: A prospective study.

Authors:  Giuseppe Carbotta; Annunziata Panebianco; Rita Laforgia; Bianca Pascazio; Giovanni Balducci; Francesco Paolo Bianchi; Silvio Tafuri; Nicola Palasciano
Journal:  Ann Med Surg (Lond)       Date:  2018-09-22
  7 in total

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