Cargando…

Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings

The purpose of this study was to determine the diagnostic value of multidetector computed tomography (MDCT) imaging findings, to identify the most predictive findings, and to assess diagnostic performance in the diagnosis and differentiation of acute cholecystitis from chronic cholecystitis. In this...

Descripción completa

Detalles Bibliográficos
Autores principales: Yeo, Dong Myung, Jung, Seung Eun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112975/
https://www.ncbi.nlm.nih.gov/pubmed/30113479
http://dx.doi.org/10.1097/MD.0000000000011851
_version_ 1783350944258326528
author Yeo, Dong Myung
Jung, Seung Eun
author_facet Yeo, Dong Myung
Jung, Seung Eun
author_sort Yeo, Dong Myung
collection PubMed
description The purpose of this study was to determine the diagnostic value of multidetector computed tomography (MDCT) imaging findings, to identify the most predictive findings, and to assess diagnostic performance in the diagnosis and differentiation of acute cholecystitis from chronic cholecystitis. In this retrospective study, we enrolled 382 consecutive patients with pathologically proven acute or chronic cholecystitis who underwent computed tomography (CT) within 1 month before surgery. The CT findings were compared and logistic regression analysis was used to identify significant CT findings in predicting acute cholecystitis. Diagnostic performance of each CT finding and of combined findings was also assessed. Statistically significant CT findings distinguishing acute cholecystitis from chronic cholecystitis were increased gallbladder dimension (85.5% vs 50.6%, P < .001), increased wall enhancement (61.8% vs 78.9%, P = .001), increased wall thickness (67.9% vs 31.1%, P < .001), mural striation (64.9% vs 28.3%, P < .001), pericholecystic haziness or fluid (66.4% vs 21.2%, P < .001), increased adjacent hepatic enhancement (80.0% vs 32.4%, P < .001), focal wall defect (9.2% vs 0, P < .001), and pericholecystic abscess (10.7% vs 0, P < .001). Subsequent multivariate logistic regression analysis revealed that increased adjacent hepatic enhancement [P = .006, odds ratio (OR) = 3.82], increased gallbladder dimension (P = .027, OR = 3.12), increased wall thickening or mural striation (P = .019, OR = 2.89), and pericholecystic haziness or fluid (P = .032, OR = 2.61) were significant predictors of acute cholecystitis. When 2 of these 4 CT findings were observed together, the sensitivity, specificity, and accuracy for the detection of acute cholecystitis were 83.2%, 65.7%, and 71.7%, respectively. When 3 of these 4 CT findings were observed together, the sensitivity, specificity, and accuracy were 56.5%, 84.5%, and 74.9%, respectively. When none of these 4 CT findings were observed, the negative predictive value was 96.4%. Increased adjacent hepatic enhancement, increased gallbladder dimension, increased wall thickening or mural striation, and pericholecystic fat haziness or fluid were the most discriminative MDCT findings for the diagnosis and differentiation of acute cholecystitis from chronic cholecystitis.
format Online
Article
Text
id pubmed-6112975
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-61129752018-09-07 Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings Yeo, Dong Myung Jung, Seung Eun Medicine (Baltimore) Research Article The purpose of this study was to determine the diagnostic value of multidetector computed tomography (MDCT) imaging findings, to identify the most predictive findings, and to assess diagnostic performance in the diagnosis and differentiation of acute cholecystitis from chronic cholecystitis. In this retrospective study, we enrolled 382 consecutive patients with pathologically proven acute or chronic cholecystitis who underwent computed tomography (CT) within 1 month before surgery. The CT findings were compared and logistic regression analysis was used to identify significant CT findings in predicting acute cholecystitis. Diagnostic performance of each CT finding and of combined findings was also assessed. Statistically significant CT findings distinguishing acute cholecystitis from chronic cholecystitis were increased gallbladder dimension (85.5% vs 50.6%, P < .001), increased wall enhancement (61.8% vs 78.9%, P = .001), increased wall thickness (67.9% vs 31.1%, P < .001), mural striation (64.9% vs 28.3%, P < .001), pericholecystic haziness or fluid (66.4% vs 21.2%, P < .001), increased adjacent hepatic enhancement (80.0% vs 32.4%, P < .001), focal wall defect (9.2% vs 0, P < .001), and pericholecystic abscess (10.7% vs 0, P < .001). Subsequent multivariate logistic regression analysis revealed that increased adjacent hepatic enhancement [P = .006, odds ratio (OR) = 3.82], increased gallbladder dimension (P = .027, OR = 3.12), increased wall thickening or mural striation (P = .019, OR = 2.89), and pericholecystic haziness or fluid (P = .032, OR = 2.61) were significant predictors of acute cholecystitis. When 2 of these 4 CT findings were observed together, the sensitivity, specificity, and accuracy for the detection of acute cholecystitis were 83.2%, 65.7%, and 71.7%, respectively. When 3 of these 4 CT findings were observed together, the sensitivity, specificity, and accuracy were 56.5%, 84.5%, and 74.9%, respectively. When none of these 4 CT findings were observed, the negative predictive value was 96.4%. Increased adjacent hepatic enhancement, increased gallbladder dimension, increased wall thickening or mural striation, and pericholecystic fat haziness or fluid were the most discriminative MDCT findings for the diagnosis and differentiation of acute cholecystitis from chronic cholecystitis. Wolters Kluwer Health 2018-08-17 /pmc/articles/PMC6112975/ /pubmed/30113479 http://dx.doi.org/10.1097/MD.0000000000011851 Text en Copyright © 2018 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle Research Article
Yeo, Dong Myung
Jung, Seung Eun
Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings
title Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings
title_full Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings
title_fullStr Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings
title_full_unstemmed Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings
title_short Differentiation of acute cholecystitis from chronic cholecystitis: Determination of useful multidetector computed tomography findings
title_sort differentiation of acute cholecystitis from chronic cholecystitis: determination of useful multidetector computed tomography findings
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6112975/
https://www.ncbi.nlm.nih.gov/pubmed/30113479
http://dx.doi.org/10.1097/MD.0000000000011851
work_keys_str_mv AT yeodongmyung differentiationofacutecholecystitisfromchroniccholecystitisdeterminationofusefulmultidetectorcomputedtomographyfindings
AT jungseungeun differentiationofacutecholecystitisfromchroniccholecystitisdeterminationofusefulmultidetectorcomputedtomographyfindings