Literature DB >> 31125498

Impact of transient hepatic attenuation differences on computed tomography scans in the diagnosis of acute gangrenous cholecystitis.

Shuichiro Uemura1, Ryota Higuchi1, Takehisa Yazawa1, Wataru Izumo1, Toshiya Sugishita1, Satoru Morita2, Masakazu Yamamoto1.   

Abstract

BACKGROUND: We examined the utility of transient hepatic attenuation differences (THADs) detected in the arterial phase of computed tomography for the diagnosis of acute gangrenous cholecystitis (AGC).
METHODS: We examined 83 consecutive patients who underwent cholecystectomy within 72 h of undergoing three-phase dynamic computed tomography scans for acute cholecystitis between 2009 and 2018 (histopathological examination later confirmed 42 with AGC, 41 without). The THAD volume (cm3 ) was calculated by multiplying the total area of the enhancing lesions (traced on axial images) by the thickness of the scan (0.5-cm slices). We evaluated the sensitivity and specificity of the THAD volume and other computed tomography findings of AGC.
RESULTS: The THAD volume was significantly larger in the AGC group than in the non-gangrenous acute cholecystitis group (P < 0.0001). The cutoff value of 78 cm3 , determined using a receiver operating characteristics curve, yielded a sensitivity of 88.1% and specificity of 75.6% for detecting AGC. Multivariate analysis revealed a THAD volume of >78 cm3 to be an independent predictor of AGC.
CONCLUSIONS: Acute gangrenous cholecystitis can be diagnosed using THAD volume, resulting in improved treatment and fewer serious complications.
© 2019 Japanese Society of Hepato-Biliary-Pancreatic Surgery.

Entities:  

Keywords:  Cholecystectomy; Cholecystitis; Gangrene; Helical computed tomography; Liver

Mesh:

Substances:

Year:  2019        PMID: 31125498     DOI: 10.1002/jhbp.637

Source DB:  PubMed          Journal:  J Hepatobiliary Pancreat Sci        ISSN: 1868-6974            Impact factor:   7.027


  1 in total

1.  Prediction of extensive necrotic change in acute gangrenous cholecystitis.

Authors:  Atsushi Kohga; Kenji Suzuki; Takuya Okumura; Akihiro Makino; Kimihiro Yamashita; Jun Isogaki; Akihiro Kawabe; Katsuaki Muramatsu; Taizo Kimura
Journal:  Emerg Radiol       Date:  2022-05-14
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.