Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis
Background: Based on the Liver Imaging Data and Reporting System (LI-RADS) guidelines, Hepatocellular Carcinoma (HCC) can be diagnosed using imaging criteria in patients at risk of HCC.Objective: This study aimed to assess the diagnostic value of LI-RADS in high-risk patients with HCC.Material and M...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Shiraz University of Medical Sciences
2024-02-01
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| Series: | Journal of Biomedical Physics and Engineering |
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| Online Access: | https://jbpe.sums.ac.ir/article_49380_d1d452640e7e7b4e0e967dc2e96a8ac3.pdf |
| _version_ | 1797304381899538432 |
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| author | Hayder Suhail Najm Alareer Arvin Arian Maryam Fotouhi Hayder Jasim Taher Ayoob Dinar Abdullah |
| author_facet | Hayder Suhail Najm Alareer Arvin Arian Maryam Fotouhi Hayder Jasim Taher Ayoob Dinar Abdullah |
| author_sort | Hayder Suhail Najm Alareer |
| collection | DOAJ |
| description | Background: Based on the Liver Imaging Data and Reporting System (LI-RADS) guidelines, Hepatocellular Carcinoma (HCC) can be diagnosed using imaging criteria in patients at risk of HCC.Objective: This study aimed to assess the diagnostic value of LI-RADS in high-risk patients with HCC.Material and Methods: This systematic review is conducted on international databases, including Google Scholar, Web of Science, PubMed, Embase, PROQUEST, and Cochrane Library, with appropriate keywords. Using the binomial distribution formula, the variance of each study was calculated, and all the data were analyzed using STATA version 16. The pooled sensitivity and specificity were determined using a random-effects meta-analysis approach. Also, we used the chi-squared test and I2 index to calculate heterogeneity among studies, and Funnel plots and Egger tests were used for evaluating publication bias.Results: The pooled sensitivity was estimated at 0.80 (95% CI: 0.76-0.84). According to different types of Liver Imaging Reporting and Data Systems (LI-RADS), the highest pooled sensitivity was in version 2018 (0.83 (95% CI: 0.79-0.87) (I2: 80.6%, P of chi 2 test for heterogeneity: <0.001 and T2: 0.001). The pooled specificity was estimated as 0.89 (95% CI: 0.87-0.92). According to different types of LI-RADS, the highest pooled specificity was in version 2014 (93.0 (95% CI: 89.0-96.0) (I2: 81.7%, P of chi 2 test for heterogeneity: <0.001 and T2: 0.001). Conclusion: LI-RADS can assist radiologists in achieving the required sensitivity and specificity in high-risk patients suspected to have HCC. Therefore, this strategy can serve as an appropriate tool for identifying HCC. |
| first_indexed | 2024-03-08T00:09:43Z |
| format | Article |
| id | doaj.art-f823f98c5b2e47fd81414469b8da4429 |
| institution | Directory Open Access Journal |
| issn | 2251-7200 |
| language | English |
| last_indexed | 2024-03-08T00:09:43Z |
| publishDate | 2024-02-01 |
| publisher | Shiraz University of Medical Sciences |
| record_format | Article |
| series | Journal of Biomedical Physics and Engineering |
| spelling | doaj.art-f823f98c5b2e47fd81414469b8da44292024-02-17T07:02:21ZengShiraz University of Medical SciencesJournal of Biomedical Physics and Engineering2251-72002024-02-0114152010.31661/jbpe.v0i0.2211-156249380Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysisHayder Suhail Najm Alareer0Arvin Arian1Maryam Fotouhi2Hayder Jasim Taher3Ayoob Dinar Abdullah4Department of Radiology, College of Health and Medical Technology, Al-Ayen University, Thi-Qar, 64001, IraqCancer Institute ADIR, Tehran University of Medical Sciences (TUMS), Tehran, IranQuantitative MR Imaging and Spectroscopy Group (QMISG), Research Centre for Molecular and Cellular Imaging (RCMCI), Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical Sciences (TUMS), Tehran, IranDepartment of Radiology, Hilla University College, Babylon, IraqDepartment of Radiology Technology, Al-Manara College for Medical Sciences, Missan, IraqBackground: Based on the Liver Imaging Data and Reporting System (LI-RADS) guidelines, Hepatocellular Carcinoma (HCC) can be diagnosed using imaging criteria in patients at risk of HCC.Objective: This study aimed to assess the diagnostic value of LI-RADS in high-risk patients with HCC.Material and Methods: This systematic review is conducted on international databases, including Google Scholar, Web of Science, PubMed, Embase, PROQUEST, and Cochrane Library, with appropriate keywords. Using the binomial distribution formula, the variance of each study was calculated, and all the data were analyzed using STATA version 16. The pooled sensitivity and specificity were determined using a random-effects meta-analysis approach. Also, we used the chi-squared test and I2 index to calculate heterogeneity among studies, and Funnel plots and Egger tests were used for evaluating publication bias.Results: The pooled sensitivity was estimated at 0.80 (95% CI: 0.76-0.84). According to different types of Liver Imaging Reporting and Data Systems (LI-RADS), the highest pooled sensitivity was in version 2018 (0.83 (95% CI: 0.79-0.87) (I2: 80.6%, P of chi 2 test for heterogeneity: <0.001 and T2: 0.001). The pooled specificity was estimated as 0.89 (95% CI: 0.87-0.92). According to different types of LI-RADS, the highest pooled specificity was in version 2014 (93.0 (95% CI: 89.0-96.0) (I2: 81.7%, P of chi 2 test for heterogeneity: <0.001 and T2: 0.001). Conclusion: LI-RADS can assist radiologists in achieving the required sensitivity and specificity in high-risk patients suspected to have HCC. Therefore, this strategy can serve as an appropriate tool for identifying HCC.https://jbpe.sums.ac.ir/article_49380_d1d452640e7e7b4e0e967dc2e96a8ac3.pdfcarcinomahepatocellularmagnetic resonance imagingctli-rads |
| spellingShingle | Hayder Suhail Najm Alareer Arvin Arian Maryam Fotouhi Hayder Jasim Taher Ayoob Dinar Abdullah Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis Journal of Biomedical Physics and Engineering carcinoma hepatocellular magnetic resonance imaging ct li-rads |
| title | Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis |
| title_full | Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis |
| title_fullStr | Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis |
| title_full_unstemmed | Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis |
| title_short | Evidence Supporting Diagnostic Value of Liver Imaging Reporting and Data System for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis |
| title_sort | evidence supporting diagnostic value of liver imaging reporting and data system for ct and mr imaging based diagnosis of hepatocellular carcinoma a systematic review and meta analysis |
| topic | carcinoma hepatocellular magnetic resonance imaging ct li-rads |
| url | https://jbpe.sums.ac.ir/article_49380_d1d452640e7e7b4e0e967dc2e96a8ac3.pdf |
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