Literature DB >> 29368164

Does a combined CT and MRI protocol enhance the diagnostic efficacy of LI-RADS in the categorization of hepatic observations? A prospective comparative study.

Mohammad Abd Alkhalik Basha1, Mohamad Zakarya AlAzzazy2, Ayman F Ahmed2, Hala Y Yousef2, Samar Mohamad Shehata2, Dena Abd El Aziz El Sammak2, Talaat Fathy3, Ahmed Ali Obaya4, Eman H Abdelbary5.   

Abstract

OBJECTIVE: To compare diagnostic performance and agreement between CT, MRI and combined CT/MRI in reference to LI-RADS classification system to categorize hepatic observations detected in hepatic patients during screening ultrasound.
METHODS: 240 patients with 296 liver observations detected during ultrasound surveillance underwent hepatic CT and MRI examinations, histopathology, and clinical and radiological follow-up. Using LI-RADS v2014, six radiologists evaluated the observations independently and assigned a LI-RADS category to each observation using CT, MRI and combined CT/MRI.
RESULTS: Combined CT and MRI in LI-RADS yielded better accuracy (91.29 %), sensitivity (90.71 %) and specificity (92.31 %) for hepatocellular carcinoma (HCC) diagnosis than using MRI or CT alone; accuracy, sensitivity and specificity decreased to 85.37 %, 86.34 %, and 83.65 %, respectively, for MRI and 67.6 %, 54.10 % and 91.35 %, respectively, for CT. The intraclass agreement of the LI-RADS scores between CT, MRI and combined CT/MRI was excellent (κ=0.9624 (95 % CI: 0.9318-0.9806)).
CONCLUSION: CT and MRI are complementary to each other. Combined CT/MRI enabled a more precise determination of LI-RADS category of hepatic observations; however, due to the expense and minor increase in accuracy, the combined methodology should only be utilized in cases of suspected HCC. KEY POINTS: • Hepatic observation may be categorized differently depending on the imaging modality used. • We compared LI-RADS categorization between CT, MRI and combined CT/MRI. • MRI produces higher accuracy and sensitivity, while CT produces higher specificity. • Combining CT and MRI improves LIRADS categorization reports. • Considering additional cost, combined methodology could be restricted to challenging cases.

Entities:  

Keywords:  Hepatocellular carcinoma; Magnetic resonance imaging; Prospective study; Tomography; Ultrasonography

Mesh:

Year:  2018        PMID: 29368164     DOI: 10.1007/s00330-017-5232-y

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  26 in total

1.  Differences in Liver Imaging and Reporting Data System Categorization Between MRI and CT.

Authors:  Michael T Corwin; Ghaneh Fananapazir; Michael Jin; Ramit Lamba; Mustafa R Bashir
Journal:  AJR Am J Roentgenol       Date:  2016-02       Impact factor: 3.959

2.  Classifying CT/MR findings in patients with suspicion of hepatocellular carcinoma: Comparison of liver imaging reporting and data system and criteria-free Likert scale reporting models.

Authors:  Yu-Dong Zhang; Fei-Peng Zhu; Xun Xu; Qing Wang; Chen-Jiang Wu; Xi-Sheng Liu; Hai-Bin Shi
Journal:  J Magn Reson Imaging       Date:  2015-06-26       Impact factor: 4.813

3.  Liver Imaging Reporting and Data System on CT and gadoxetic acid-enhanced MRI with diffusion-weighted imaging.

Authors:  Dong Ik Cha; Kyung Mi Jang; Seong Hyun Kim; Tae Wook Kang; Kyoung Doo Song
Journal:  Eur Radiol       Date:  2017-04-03       Impact factor: 5.315

4.  Dynamic enhancement pattern of HCC smaller than 3 cm in diameter on gadoxetic acid-enhanced MRI: comparison with multiphasic MDCT.

Authors:  Vivian Y Park; Jin-Young Choi; Yong Eun Chung; Honsoul Kim; Mi-Suk Park; Joon Seok Lim; Ki Whang Kim; Myeong-Jin Kim
Journal:  Liver Int       Date:  2014-04-10       Impact factor: 5.828

5.  Diagnosis of hepatic nodules 20 mm or smaller in cirrhosis: Prospective validation of the noninvasive diagnostic criteria for hepatocellular carcinoma.

Authors:  Alejandro Forner; Ramón Vilana; Carmen Ayuso; Lluís Bianchi; Manel Solé; Juan Ramón Ayuso; Loreto Boix; Margarita Sala; María Varela; Josep M Llovet; Concepció Brú; Jordi Bruix
Journal:  Hepatology       Date:  2008-01       Impact factor: 17.425

Review 6.  CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features.

Authors:  Jin-Young Choi; Jeong-Min Lee; Claude B Sirlin
Journal:  Radiology       Date:  2014-10       Impact factor: 11.105

7.  Management of hepatocellular carcinoma: an update.

Authors:  Jordi Bruix; Morris Sherman
Journal:  Hepatology       Date:  2011-03       Impact factor: 17.425

8.  Liver imaging reporting and data system (LI-RADS) version 2014: understanding and application of the diagnostic algorithm.

Authors:  Chansik An; Gulbahor Rakhmonova; Jin-Young Choi; Myeong-Jin Kim
Journal:  Clin Mol Hepatol       Date:  2016-06

9.  Comprehensive Comparison of Multiple-Detector Computed Tomography and Dynamic Magnetic Resonance Imaging in the Diagnosis of Hepatocellular Carcinoma with Varying Degrees of Fibrosis.

Authors:  Ming-Tsung Lin; Chih-Chi Wang; Yu-Fan Cheng; Hock-Liew Eng; Yi-Hao Yen; Ming-Chao Tsai; Po-Lin Tseng; Kuo-Chin Chang; Cheng-Kun Wu; Tsung-Hui Hu
Journal:  PLoS One       Date:  2016-11-09       Impact factor: 3.240

10.  Comparison between Computer Tomography and Magnetic Resonance Imaging in the Diagnosis of Small Hepatocellular Carcinoma

Authors:  Korn Lertpipopmetha; Teeravut Tubtawee; Teerha Piratvisuth; Naichaya Chamroonkul
Journal:  Asian Pac J Cancer Prev       Date:  2016-11-01
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  14 in total

1.  Increasing the sensitivity of LI-RADS v2018 for diagnosis of small (10-19 mm) HCC on extracellular contrast-enhanced MRI.

Authors:  Jingbiao Chen; Sichi Kuang; Yao Zhang; Wenjie Tang; Sidong Xie; Linqi Zhang; Dailin Rong; Bingjun He; Ying Deng; Yuanqiang Xiao; Wenqi Shi; Kathryn Fowler; Jin Wang; Claude B Sirlin
Journal:  Abdom Radiol (NY)       Date:  2020-10-11

Review 2.  Pitfalls and problems to be solved in the diagnostic CT/MRI Liver Imaging Reporting and Data System (LI-RADS).

Authors:  Yeun-Yoon Kim; Jin-Young Choi; Claude B Sirlin; Chansik An; Myeong-Jin Kim
Journal:  Eur Radiol       Date:  2018-08-16       Impact factor: 5.315

3.  Evaluation of LI-RADS 3 category by magnetic resonance in US-detected nodules ≤ 2 cm in cirrhotic patients.

Authors:  Anna Darnell; Jordi Rimola; Ernest Belmonte; Enric Ripoll; Ángeles Garcia-Criado; Carla Caparroz; Álvaro Díaz-González; Ramón Vilana; María Reig; Carmen Ayuso; Jordi Bruix; Alejandro Forner
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

Review 4.  Computed tomography for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease.

Authors:  Tin Nadarevic; Vanja Giljaca; Agostino Colli; Mirella Fraquelli; Giovanni Casazza; Damir Miletic; Davor Štimac
Journal:  Cochrane Database Syst Rev       Date:  2021-10-06

Review 5.  The diagnostic performance of contrast-enhanced CT versus extracellular contrast agent-enhanced MRI in detecting hepatocellular carcinoma: direct comparison and a meta-analysis.

Authors:  Xi Chen; Mingkai Li; Ruomi Guo; Weimin Liu; Jianwen Li; Xiaodan Zong; Qilong Chen; Jin Wang
Journal:  Abdom Radiol (NY)       Date:  2022-03-21

Review 6.  Magnetic resonance imaging for the diagnosis of hepatocellular carcinoma in adults with chronic liver disease.

Authors:  Tin Nadarevic; Agostino Colli; Vanja Giljaca; Mirella Fraquelli; Giovanni Casazza; Cristina Manzotti; Davor Štimac; Damir Miletic
Journal:  Cochrane Database Syst Rev       Date:  2022-05-06

7.  Validation of the Liver Imaging Reporting and Data System Treatment Response Criteria After Thermal Ablation for Hepatocellular Carcinoma.

Authors:  Katherine S Cools; Andrew M Moon; Lauren M B Burke; Katrina A McGinty; Paula D Strassle; David A Gerber
Journal:  Liver Transpl       Date:  2019-12-20       Impact factor: 5.799

8.  Deep learning assisted differentiation of hepatocellular carcinoma from focal liver lesions: choice of four-phase and three-phase CT imaging protocol.

Authors:  Wenqi Shi; Sichi Kuang; Sue Cao; Bing Hu; Sidong Xie; Simin Chen; Yinan Chen; Dashan Gao; Yunqiang Chen; Yajing Zhu; Hanxi Zhang; Hui Liu; Meng Ye; Claude B Sirlin; Jin Wang
Journal:  Abdom Radiol (NY)       Date:  2020-09

9.  Man or machine? Prospective comparison of the version 2018 EASL, LI-RADS criteria and a radiomics model to diagnose hepatocellular carcinoma.

Authors:  Hanyu Jiang; Xijiao Liu; Jie Chen; Yi Wei; Jeong Min Lee; Likun Cao; Yuanan Wu; Ting Duan; Xin Li; Ling Ma; Bin Song
Journal:  Cancer Imaging       Date:  2019-12-05       Impact factor: 3.909

10.  How high is the inter-observer reproducibility in the LIRADS reporting system?

Authors:  Sezgin Sevim; Oğuz Dicle; Naciye S Gezer; Mustafa M Barış; Canan Altay; Işıl Başara Akın
Journal:  Pol J Radiol       Date:  2019-11-18
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