Literature DB >> 18544944

Diagnostic accuracy of imaging for liver cirrhosis compared to histologically proven liver cirrhosis. A multicenter collaborative study.

Masatoshi Kudo1, Rong Qin Zheng, Soo Ryang Kim, Yoshihiro Okabe, Yukio Osaki, Hiroko Iijima, Toshinao Itani, Hiroshi Kasugai, Masayuki Kanematsu, Katsuyoshi Ito, Norio Usuki, Kazuhide Shimamatsu, Masayoshi Kage, Masamichi Kojiro.   

Abstract

OBJECTIVE: To evaluate the diagnostic accuracy of liver cirrhosis by imaging modalities, including CT, MRI and US, compared to results obtained from histopathological diagnoses of resected specimens.
MATERIALS AND METHODS: CT, MRI and US examinations of 142 patients with chronic liver disease who underwent surgery for complicated hepatocellular carcinoma (<3 cm in diameter) in 10 institutions were blindly reviewed in a multicenter study by three radiologists experienced in CT, MRI and US. The images were evaluated for five imaging parameters (irregular or nodular liver surface, blunt liver edge, liver parenchymal abnormalities, liver morphological changes and manifestations of portal hypertension) using a severity scale. The diagnostic imaging impression score was also calculated. Patients were histologically classified into chronic hepatitis (CH; n = 54), liver cirrhosis (LC; n = 71) and pre-cirrhosis (P-LC; n = 17) by three pathologists, independently, who reviewed the resected liver specimens. The results of the three imaging methods were compared to those from histological diagnoses, and a multivariate analysis (stepwise forward logistic regression analysis) was performed to identify independent predictive signs of cirrhosis. The diagnostic efficacies for LC and early cirrhosis were also compared among CT, MRI and US using a receiver-operating characteristic (ROC) curve analysis.
RESULTS: The differences in the five imaging parameters evaluated by CT, MRI and US between LC and CH were statistically significant (p < 0.001) except for the manifestations of portal hypertension on US. Irregular or nodular surface, blunt edge or morphological changes in the liver were selected as the best predictive signs for cirrhosis on US whereas liver parenchymal abnormalities, manifestations of portal hypertension and morphological changes in the liver were the best predictive signs on MRI and CT by multivariate analysis. The predictive diagnostic accuracy, sensitivity and specificity in discriminating LC from CH based on the best predictive signs were 71.9, 77.1 and 67.6% by CT; 67.9, 67.5 and 68.3% by MRI, and 66.0, 38.4 (lower than CT and MRI, p =0.001) and 88.8% (higher than CT and MRI, p =0.001)by US. According to the imaging impression scoring system, diagnostic accuracy, sensitivity and specificity were 67.0, 84.3 and 52.9% by CT; 70.3, 86.7 and 53.9% by MRI, and 64.0, 52.4 (lower than CT and MRI, p =0.0001) and 73.5% (higher than CT and MRI, p < 0.003) by US. ROC analysis showed that MRI and CT were slightly superior to US in the diagnosis of LC but no statistically significant difference was found between them. For the pathological diagnosis of P-LC, cirrhosis was diagnosed in 59.5, 46.7 and 41.7% of the P-LC cases by US, CT and MRI, respectively, with no significant difference among these methods.
CONCLUSION: US, CT and MRI had different independent predictive signs for the diagnosis of LC. MRI and CT were slightly superior to US in predicting cirrhosis, especially regarding sensitivity. Noninvasive imaging techniques play an important role in the diagnosis of cirrhosis, especially in the evaluation of P-LC. Copyright 2008 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2008        PMID: 18544944     DOI: 10.1159/000122595

Source DB:  PubMed          Journal:  Intervirology        ISSN: 0300-5526            Impact factor:   1.763


  42 in total

Review 1.  Prediction of liver cirrhosis, using diagnostic imaging tools.

Authors:  Suk Keu Yeom; Chang Hee Lee; Sang Hoon Cha; Cheol Min Park
Journal:  World J Hepatol       Date:  2015-08-18

2.  Prediction of compensated liver cirrhosis by ultrasonography and routine blood tests in patients with chronic viral hepatitis.

Authors:  Hong Sub Lee; Jai Keun Kim; Jae Youn Cheong; Eun Jin Han; So Yeon An; Jun Ha Song; Yun Jung Jung; Sung Chan Jeon; Min Wook Jung; Eun Jung Jang; Sung Won Cho
Journal:  Korean J Hepatol       Date:  2010-12

Review 3.  [CT and MRI of the liver: when, what, why?]

Authors:  J Budjan; S O Schoenberg; U I Attenberger
Journal:  Radiologe       Date:  2017-05       Impact factor: 0.635

4.  Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis.

Authors:  Mazen Soufi; Yoshito Otake; Masatoshi Hori; Kazuya Moriguchi; Yasuharu Imai; Yoshiyuki Sawai; Takashi Ota; Noriyuki Tomiyama; Yoshinobu Sato
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-11-08       Impact factor: 2.924

5.  Hepatic pathology after Fontan palliation: spectrum of imaging findings.

Authors:  Daniel B Wallihan; Daniel J Podberesky
Journal:  Pediatr Radiol       Date:  2012-10-06

6.  Quantitative detection of cirrhosis: towards the development of computer-assisted detection method.

Authors:  Hannu T Huhdanpaa; Peng Zhang; Venkataramu N Krishnamurthy; Chris Douville; Binu Enchakolody; Chris Chou; Sampathkumar Ethiraj; Stewart Wang; Grace L Su
Journal:  J Digit Imaging       Date:  2014-10       Impact factor: 4.056

7.  Quantitative assessment of hepatic function: modified look-locker inversion recovery (MOLLI) sequence for T1 mapping on Gd-EOB-DTPA-enhanced liver MR imaging.

Authors:  Jeong Hee Yoon; Jeong Min Lee; Munyoung Paek; Joon Koo Han; Byung Ihn Choi
Journal:  Eur Radiol       Date:  2015-09-15       Impact factor: 5.315

8.  Risk factors and serological markers of liver cirrhosis after Fontan procedure.

Authors:  Mikiko Shimizu; Kenji Miyamoto; Yunosuke Nishihara; Gaku Izumi; Shuji Sakai; Kei Inai; Toshio Nishikawa; Toshio Nakanishi
Journal:  Heart Vessels       Date:  2015-09-19       Impact factor: 2.037

Review 9.  Non-invasive diagnosis of advanced fibrosis and cirrhosis.

Authors:  Suraj Sharma; Korosh Khalili; Geoffrey Christopher Nguyen
Journal:  World J Gastroenterol       Date:  2014-12-07       Impact factor: 5.742

10.  Platelet count combined with right liver volume and spleen volume measured by magnetic resonance imaging for identifying cirrhosis and esophageal varices.

Authors:  Xiao-Li Chen; Tian-Wu Chen; Xiao-Ming Zhang; Zhen-Lin Li; Nan-Lin Zeng; Ping Zhou; Hang Li; Jing Ren; Guo-Hui Xu; Jia-Ni Hu
Journal:  World J Gastroenterol       Date:  2015-09-21       Impact factor: 5.742

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.