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LI-RADS LR-5 on contrast-enhanced ultrasonography has satisfactory diagnostic specificity for hepatocellular carcinoma: a systematic review and meta-analysis.
Jin, Hongyu; Cai, Yunshi; Zhang, Man; Huang, Libin; Bao, Wanying; Hu, Qibo; Chen, Xuan; Zhou, Lingyun; Ling, Wenwu.
Afiliação
  • Jin H; Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China.
  • Cai Y; Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China.
  • Zhang M; Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
  • Huang L; Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Bao W; West China School of Medicine, Sichuan University, Chengdu, China.
  • Hu Q; West China School of Medicine, Sichuan University, Chengdu, China.
  • Chen X; West China School of Medicine, Sichuan University, Chengdu, China.
  • Zhou L; Department of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.
  • Ling W; Department of Ultrasound, West China Hospital, Sichuan University, Chengdu, China.
Quant Imaging Med Surg ; 13(2): 957-969, 2023 Feb 01.
Article em En | MEDLINE | ID: mdl-36819240
Background: The Liver Imaging Reporting and Data System (LI-RADS) for contrast-enhanced ultrasonography (CEUS) was invented to define suspected liver nodules based on their imaging characteristics. Among the categories of nodules of LI-RADS for CEUS, LR-5 is generally considered to be definitely malignant; however, the exact diagnostic performance of this liver nodule category has varied between different studies. Therefore, we performed this systematic review and meta-analysis to calculate the pooled diagnostic sensitivity, specificity based on important data extracted from some influential clinical studies. Methods: A preliminary search of national and international databases, including PubMed/Ovid Medline, Embase, Cochrane Library, Web of Science, and Wan Fang Data, for relevant studies on CEUS LI-RADS LR-5 published between January 2017 and June 2021 was conducted. A literature screening and selection process was undertaken to evaluate the relevance of the articles, and studies deemed eligible for inclusion in the review were subsequently identified. The updated Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool was applied as the main method to assess the risk of bias and applicability of the studies. A meta-analysis of the diagnostic sensitivity and specificity of CEUS LI-RADS LR-5 was performed using the free software, Meta-DiSc 1.4 (Ramóny Cajal Hospital, Madrid, Spain). The area under curve (AUC) was calculated to help determine the diagnostic efficiency. A meta-regression analysis was also performed to identify factors that could have contributed to heterogeneity between the studies. Results: Twelve studies with 20 observations focused on investigating the relative diagnostic performance of the CEUS LI-RADS LR-5 category for hepatocellular carcinoma (HCC) detection were finally recruited into the systematic review and meta-analysis. The pooled diagnostic sensitivity was 0.71 [95% confidence interval (CI): 0.69-0.72], with heterogeneity (I2) of 88.4%, and the pooled specificity was 0.93 (95% CI: 0.92-0.95), with an I2 of 71.2%. Study heterogeneity was observed and statistically correlated with the number of centers and the reference standard. Conclusions: The CEUS LI-RADS LR-5 category has satisfactory diagnostic efficacy for HCC, as evidenced by an acceptable diagnostic sensitivity of 0.71 and a good diagnostic specificity of 0.93.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies / Systematic_reviews Idioma: En Revista: Quant Imaging Med Surg Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China