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CT/MRI and CEUS LI-RADS Major Features Association with Hepatocellular Carcinoma: Individual Patient Data Meta-Analysis

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单位: [1]McMaster Univ, Hamilton Hlth Sci, Juravinski Hosp & Canc Ctr, Dept Diagnost Imaging, Hamilton, ON, Canada [2]Univ Ottawa, Dept Radiol & Epidemiol, Ottawa, ON, Canada [3]Ottawa Hosp, Dept Med Imaging, Clin Epidemiol Program, Ottawa Hosp Res Inst, Civ Campus,1053 Carling Ave,Room C-159, Ottawa, ON K1E 4Y9, Canada [4]Queens Univ, Fac Hlth Sci, Kingston, ON, Canada [5]Ottawa Hosp Res Inst, Clin Epidemiol Program, Ottawa, ON, Canada [6]Keele Univ, Sch Med, Ctr Prognosis Res, Keele, Staffs, England [7]Montefiore Med Ctr, Dept Radiol, 111 E 210th St, Bronx, NY 10467 USA [8]Univ Calif San Diego, Dept Radiol, Liver Imaging Grp, San Diego, CA 92103 USA [9]Duke Univ Med Ctr, Dept Radiol, Durham, NC USA [10]Duke Univ Med Ctr, Dept Med, Durham, NC USA [11]Duke Univ Med Ctr, Ctr Adv Magnet Resonance Dev, Durham, NC USA [12]Univ N Carolina, Dept Radiol, Chapel Hill, NC 27515 USA [13]Yonsei Univ, Coll Med, Res Inst Radiol Sci, Dept Radiol, Seoul, South Korea [14]Univ Ulsan, Coll Med, Asan Med Ctr, Seoul, South Korea [15]Hosp Clin Barcelona, Liver Unit, BCLC Grp, Barcelona, Spain [16]Univ Barcelona, CIBERehd, IDIBAPS, Barcelona, Spain [17]Washington Univ, Sch Med, Mallinckrodt Inst Radiol, St Louis, MO USA [18]IRCCS Azienda Osped Univ Bologna, Div Internal Med Hepatobiliary & Immunoallerg Dis, Bologna, Italy [19]IRCCS Azienda Osped Univ Bologna, Med Urgenza & Pronto Soccorso, Emergency Dept, Bologna, Italy [20]Sichuan Univ, West China Hosp, Dept Radiol, Chengdu, Peoples R China [21]Seoul Natl Univ Hosp, Dept Radiol, Seoul, South Korea [22]Seoul Natl Univ Hosp, Inst Radiat Med, Seoul, South Korea [23]Seoul Natl Univ, Coll Med, Dept Radiol, Seoul, South Korea [24]Tongji Med Coll, Tongji Hosp, Dept Radiol, Wuhan, Peoples R China [25]Huazhong Univ Sci & Technol, Wuhan, Peoples R China [26]Weill Cornell Med Ctr, Dept Radiol, New York, NY USA [27]Univ Texas Southwestern Med Ctr Dallas, Dept Radiol, Dallas, TX USA [28]Univ Texas Southwestern Med Ctr Dallas, Adv Imaging Res Ctr, Dallas, TX USA [29]Univ Ulsan, Coll Med, Dept Radiol, Asan Med Ctr, Seoul, South Korea [30]Univ Ulsan, Coll Med, Asan Med Ctr, Res Inst Radiol, Seoul, South Korea [31]Dong A Univ, Coll Med, Dong A Univ Hosp, Dept Radiol, Busan, South Korea [32]Icahn Sch Med Mt Sinai, Dept Radiol, New York, NY 10029 USA [33]Warsaw Med Univ, Radiol Dept 2, Warsaw, Poland [34]Univ Hosp Zurich, Inst Diagnost & Intervent Radiol, Zurich, Switzerland [35]Beaujon Hosp, APHP Nord, Dept Radiol, Clichy, France [36]Univ Paris, Paris, France [37]Sichuan Univ, West China Hasp, Dept Radiol, Chengdu, Peoples R China [38]Jeonbuk Natl Univ Med Sch & Hosp, Dept Radiol, Jeonju, South Korea [39]Ctr Hosp Univ Montreal, Dept Radiol, Montreal, PQ, Canada [40]Sun Yat Sen Univ, Affiliated Hosp 3, Dept Radiol, Guangzhou, Peoples R China [41]Sun Yat Sen Univ, Affiliated Hosp 1, Inst Diagnost & Intervent Ultrasound, Dept Med Ultrason, Guangzhou, Peoples R China [42]Univ Calgary, Div Gastroenterol, Dept Radiol, Calgary, AB, Canada [43]Univ Calgary, Div Gastroenterol, Dept Med, Calgary, AB, Canada [44]Foothills Med Ctr, Calgary, AB, Canada
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Background: The Liver Imaging Reporting and Data System (LI-RADS) assigns a risk category for hepatocellular carcinoma (HCC) to imaging observations. Establishing the contributions of major features can inform the diagnostic algorithm. Purpose: To perform a systematic review and individual patient data meta-analysis to establish the probability of HCC for each LIRADS major feature using CT/MRI and contrast-enhanced US (CEUS) LI-RADS in patients at high risk for HCC. Materials and Methods: Multiple databases (MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Scopus) were searched for studies from January 2014 to September 2019 that evaluated the accuracy of CT, MRI, and CEUS for HCC detection using LI-RADS (CT/MRI LI-RADS, versions 2014, 2017, and 2018; CEUS LI-RADS, versions 2016 and 2017). Data were centralized. Clustering was addressed at the study and patient levels using mixed models. Adjusted odds ratios (ORs) with 95% CIs were determined for each major feature using multivariable stepwise logistic regression. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) (PROSPERO protocol: CRD42020164486). Results: A total of 32 studies were included, with 1170 CT observations, 3341 MRI observations, and 853 CEUS observations. At multivariable analysis of CT/MRI LI-RADS, all major features were associated with HCC, except threshold growth (OR, 1.6; 95% CI: 0.7, 3.6; P =.07). Nonperipheral washout (OR, 13.2; 95% CI: 9.0, 19.2; P =.01) and nonrim arterial phase hyperenhancement (APHE) (OR, 10.3; 95% CI: 6.7, 15.6; P =.01) had stronger associations with HCC than enhancing capsule (OR, 2.4; 95% CI: 1.7, 3.5; P =.03). On CEUS images, APHE (OR, 7.3; 95% CI: 4.6, 11.5; P =.01), late and mild washout (OR, 4.1; 95% CI: 2.6, 6.6; P =.01), and size of at least 20 mm (OR, 1.6; 95% CI: 1.04, 2.5; P =.04) were associated with HCC. Twenty-five studies (78%) had high risk of bias due to reporting ambiguity or study design flaws. Conclusion: Most Liver Imaging Reporting and Data System major features had different independent associations with hepatocellular carcinoma; for CT/MRI, arterial phase hyperenhancement and washout had the strongest associations, whereas threshold growth had no association. (c) RSNA, 2021

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大类 | 1 区 医学
小类 | 1 区 核医学
最新[2025]版:
大类 | 1 区 医学
小类 | 1 区 核医学
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出版当年[2020]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
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Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

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第一作者单位: [1]McMaster Univ, Hamilton Hlth Sci, Juravinski Hosp & Canc Ctr, Dept Diagnost Imaging, Hamilton, ON, Canada
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通讯机构: [2]Univ Ottawa, Dept Radiol & Epidemiol, Ottawa, ON, Canada [3]Ottawa Hosp, Dept Med Imaging, Clin Epidemiol Program, Ottawa Hosp Res Inst, Civ Campus,1053 Carling Ave,Room C-159, Ottawa, ON K1E 4Y9, Canada
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