Accuracy of the Liver Imaging Reporting and Data System in Computed Tomography and Magnetic Resonance Image Analysis of Hepatocellular Carcinoma or Overall Malignancy-A Systematic Review

被引:264
作者
van der Pol, Christian B. [1 ]
Lim, Christopher S. [2 ,3 ]
Sirlin, Claude B. [3 ]
McGrath, Trevor A. [4 ]
Salameh, Jean-Paul [5 ]
Bashir, Mustafa R. [6 ,7 ]
Tang, An [8 ]
Singal, Amit G. [9 ]
Costa, Andreu F. [10 ,11 ]
Fowler, Kathryn [12 ]
McInnes, Matthew D. F. [13 ,14 ]
机构
[1] McMaster Univ, Hamilton Hlth Sci, Juravinski Hosp & Canc Ctr, Dept Diagnost Imaging, Hamilton, ON, Canada
[2] Harvard Med Sch, Brigham Womens Hosp, Dept Radiol, Div Abdominal Imaging & Intervent, Boston, MA 02115 USA
[3] Univ Calif San Diego, Dept Radiol, Liver Imaging Grp, San Diego, CA 92103 USA
[4] Univ Ottawa, Dept Radiol, Ottawa, ON, Canada
[5] Univ Ottawa, Sch Epidemiol & Publ Hlth, Ottawa Hosp Res Inst, Clin Epidemiol Program, Ottawa, ON, Canada
[6] Duke Univ, Med Ctr, Dept Radiol, Ctr Adv Magnet Resonance Dev, Durham, NC 27710 USA
[7] Duke Univ, Med Ctr, Dept Med, Div Gastroenterol, Durham, NC 27710 USA
[8] Ctr Hosp Univ Montreal, Dept Radiol, Montreal, PQ, Canada
[9] UT Southwestern Med Ctr, Div Digest & Liver Dis, Dallas, TX USA
[10] Queen Elizabeth 2 Hlth Sci Ctr, Dept Diagnost Radiol, Halifax, NS, Canada
[11] Dalhousie Univ, Halifax, NS, Canada
[12] Washington Univ, Dept Radiol, St Louis, MO USA
[13] Univ Ottawa, Dept Radiol & Epidemiol, Ottawa, ON, Canada
[14] Ottawa Hosp Res Inst, Clin Epidemiol Program, Ottawa, ON, Canada
关键词
Computed Tomography; Magnetic Resonance Imaging; Liver Cancer; Risk Assessment; LI-RADS; DIAGNOSTIC PERFORMANCE; GADOXETATE DISODIUM; MULTIDETECTOR CT; MAJOR FEATURES; ENHANCED MRI; VERSION; NODULES; ULTRASOUND; CIRRHOSIS;
D O I
10.1053/j.gastro.2018.11.020
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
BACKGROUND & AIMS: The Liver Imaging Reporting and Data System (LI-RADS) categorizes observations from imaging analyses of high-risk patients based on the level of suspicion for hepatocellular carcinoma (HCC) and overall malignancy. The categories range from definitely benign (LR-1) to definitely HCC (LR-5), malignancy (LR-M), or tumor in vein (LR-TIV) based on findings from computed tomography or magnetic resonance imaging. However, the actual percentage of HCC and overall malignancy within each LI-RADS category is not known. We performed a systematic review to determine the percentage of observations in each LI-RADS category for computed tomography and magnetic resonance imaging that are HCCs or malignancies. METHODS: We searched the MEDLINE, Embase, Cochrane CENTRAL, and Scopus databases from 2014 through 2018 for studies that reported the percentage of observations in each LI-RADS v2014 and v2017 category that were confirmed as HCCs or other malignancies based on pathology, follow-up imaging analyses, or response to treatment (reference standard). Data were assessed on a perobservation basis. Random-effects models were used to determine the pooled percentages of HCC and overall malignancy for each LI-RADS category. Differences between categories were compared by analysis of variance of logit-transformed percentage of HCC and overall malignancy. Risk of bias and concerns about applicability were assessed with the Quality Assessment of Diagnostic Accuracy Studies 2 tool. RESULTS: Of 454 studies identified, 17 (all retrospective studies) were included in the final analysis, consisting of 2760 patients, 3556 observations, and 2482 HCCs. The pooled percentages of observations confirmed as HCC and overall malignancy, respectively, were 94% (95% confidence interval [ CI] 92%-96%) and 97% (95% CI 95%-99%) for LR-5, 74% (95% CI 67%-80%) and 80% (95% CI 75%-85%) for LR-4, 38% (95% CI 31%-45%) and 40% (95% CI 31%-50%) for LR-3, 13% (95% CI 8%-22%) and 14% (95% CI 9%-21%) for LR-2, 79% (95% CI 63%-89%) and 92% (95% CI 77%-98%) for LR-TIV, and 36% (95% CI 26%-48%) and 93% (95% CI 87%-97%) for LR-M. No malignancies were found in the LR-1 group. The percentage of HCCs and overall malignancies confirmed differed significantly among LR groups 2-5 (P <.00001). Patient selection was the most frequent factor that affected bias risk, because of verification bias and case-control study design. CONCLUSIONS: In a systematic review, we found that increasing LI-RADS categories contained increasing percentages of HCCs and overall malignancy based on reference standard confirmation. Of observations categorized as LR-M, 93% were malignancies and 36% were confirmed as HCCs. The percentage of HCCs found in the LR-2 and LR-3 categories indicate the need for a more active management strategy than currently recommended. Prospective studies are needed to validate these findings. PROSPERO number CRD42018087441.
引用
收藏
页码:976 / 986
页数:11
相关论文
共 44 条
[1]   Comparison of Visualization Rates of LI-RADS Version 2014 Major Features With IV Gadobenate Dimeglumine or Gadoxetate Disodium in Patients at Risk for Hepatocellular Carcinoma [J].
Allen, Brian C. ;
Ho, Lisa M. ;
Jaffe, Tracy A. ;
Miller, Chad M. ;
Mazurowski, Maciej A. ;
Bashir, Mustafa R. .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2018, 210 (06) :1266-1272
[2]  
American college of Radiogoy, CEUS LI RADS V2017
[3]  
American college of radiology, LIV IM REP DAT SYST
[4]   Curative Resection of Single Primary Hepatic Malignancy: Liver Imaging Reporting and Data System Category LR-M Portends a Worse Prognosis [J].
An, Chansik ;
Park, Sumi ;
Chung, Yong Eun ;
Kim, Do-Young ;
Kim, Seung-Seob ;
Kim, Myeong-Jin ;
Choi, Jin-Young .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2017, 209 (03) :576-583
[5]   Diagnostic efficacy of the Liver Imaging-Reporting and Data System (LI- RADS) with CT imaging in categorising small nodules (10-20 mm) detected in the cirrhotic liver at screening ultrasound [J].
Basha, M. Abd Alkhalik ;
El Sammak, D. Abd El Aziz ;
El Sammak, A. A. .
CLINICAL RADIOLOGY, 2017, 72 (10) :901.e1-901.e11
[6]   Natural history of liver imaging reporting and data system category 4 nodules in MRI [J].
Burke, Lauren M. B. ;
Sofue, Keitaro ;
Alagiyawanna, Madavi ;
Nilmini, Viragi ;
Muir, Andrew J. ;
Choudhury, Kingshuk R. ;
Semelka, Richard C. ;
Bashir, Mustafa R. .
ABDOMINAL RADIOLOGY, 2016, 41 (09) :1758-1766
[7]   LI-RADS for MR Imaging Diagnosis of Hepatocellular Carcinoma: Performance of Major and Ancillary Features [J].
Cerny, Milena ;
Bergeron, Catherine ;
Billiard, Jean-Sebastien ;
Murphy-Lavallee, Jessica ;
Olivie, Damien ;
Berube, Joshua ;
Fan, Boyan ;
Castel, Helene ;
Turcotte, Simon ;
Perreault, Pierre ;
Chagnon, Miguel ;
Tang, An .
RADIOLOGY, 2018, 288 (01) :118-128
[8]   Liver Imaging Reporting and Data System on CT and gadoxetic acid-enhanced MRI with diffusion-weighted imaging [J].
Cha, Dong Ik ;
Jang, Kyung Mi ;
Kim, Seong Hyun ;
Kang, Tae Wook ;
Song, Kyoung Doo .
EUROPEAN RADIOLOGY, 2017, 27 (10) :4394-4405
[9]  
Channual S, RAD SOC N AM 2014 SC
[10]   Liver Imaging Reporting and Data System v2014 With Gadoxetate Disodium-Enhanced Magnetic Resonance Imaging Validation of LI-RADS Category 4 and 5 Criteria [J].
Choi, Sang Hyun ;
Byun, Jae Ho ;
Kim, So Yeon ;
Lee, So Jung ;
Won, Hyung Jin ;
Shin, Yong Moon ;
Kim, Pyo Nyun .
INVESTIGATIVE RADIOLOGY, 2016, 51 (08) :483-490