Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis
ObjectiveTo determine the diagnostic value of ultrasound, multi-phase enhanced computed tomography, and magnetic resonance imaging of small hepatocellular carcinoma.MethodsExperimental studies on diagnosing small hepatocellular carcinoma in four databases: PubMed, Cochrane Library, Web of Science, a...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2024.1510296/full |
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| author | Jian Dong Zhen Wang Si-Rui Wang Huan Zhao Jun Li Ting Ma |
| author_facet | Jian Dong Zhen Wang Si-Rui Wang Huan Zhao Jun Li Ting Ma |
| author_sort | Jian Dong |
| collection | DOAJ |
| description | ObjectiveTo determine the diagnostic value of ultrasound, multi-phase enhanced computed tomography, and magnetic resonance imaging of small hepatocellular carcinoma.MethodsExperimental studies on diagnosing small hepatocellular carcinoma in four databases: PubMed, Cochrane Library, Web of Science, and Embase, were comprehensively searched from October 2007 to October 2024. Relevant diagnostic accuracy data were extracted and a Bayesian model that combined direct and indirect evidence was used for analysis.Results16 original studies were included and data from 2,447 patients were collated to assess the diagnostic value of 10 different methods. The methodological quality of the included studies was good and there was no obvious publication bias. The pooled DOR of all diagnostic methods was 19.61, which was statistically significant (I2 = 76.0%, P < 0.01, 95% CI:13.30 - 28.92). Normal US + CEUS + ultrasonic elastic imaging had the highest specificity (92.9), accuracy (93.6), and positive predictive value (94.4). Unenhanced MRI + Contrast-enhanced MRI had the highest sensitivity (96.6) and negative predictive value (96.6), but specificity (12.5) and positive predictive value (34.4) were extremely poor. Contrast-enhanced MRI had the highest diagnostic value in individual imaging methods (sensitivity: 66, specificity: 55.5, accuracy: 67.9, positive predictive value: 64.4, negative predictive value: 66.5). There was significant inconsistency and high heterogeneity in this study.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024507883. |
| format | Article |
| id | doaj-art-13af6d21c0e24a0f96d4daea612d77ca |
| institution | Kabale University |
| issn | 2234-943X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj-art-13af6d21c0e24a0f96d4daea612d77ca2025-01-14T05:10:17ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2025-01-011410.3389/fonc.2024.15102961510296Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysisJian DongZhen WangSi-Rui WangHuan ZhaoJun LiTing MaObjectiveTo determine the diagnostic value of ultrasound, multi-phase enhanced computed tomography, and magnetic resonance imaging of small hepatocellular carcinoma.MethodsExperimental studies on diagnosing small hepatocellular carcinoma in four databases: PubMed, Cochrane Library, Web of Science, and Embase, were comprehensively searched from October 2007 to October 2024. Relevant diagnostic accuracy data were extracted and a Bayesian model that combined direct and indirect evidence was used for analysis.Results16 original studies were included and data from 2,447 patients were collated to assess the diagnostic value of 10 different methods. The methodological quality of the included studies was good and there was no obvious publication bias. The pooled DOR of all diagnostic methods was 19.61, which was statistically significant (I2 = 76.0%, P < 0.01, 95% CI:13.30 - 28.92). Normal US + CEUS + ultrasonic elastic imaging had the highest specificity (92.9), accuracy (93.6), and positive predictive value (94.4). Unenhanced MRI + Contrast-enhanced MRI had the highest sensitivity (96.6) and negative predictive value (96.6), but specificity (12.5) and positive predictive value (34.4) were extremely poor. Contrast-enhanced MRI had the highest diagnostic value in individual imaging methods (sensitivity: 66, specificity: 55.5, accuracy: 67.9, positive predictive value: 64.4, negative predictive value: 66.5). There was significant inconsistency and high heterogeneity in this study.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024507883.https://www.frontiersin.org/articles/10.3389/fonc.2024.1510296/fulldiagnostic imagingsmall hepatocellular carcinomamultiple diagnostic methodsnetwork meta-analysisultrasound |
| spellingShingle | Jian Dong Zhen Wang Si-Rui Wang Huan Zhao Jun Li Ting Ma Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis Frontiers in Oncology diagnostic imaging small hepatocellular carcinoma multiple diagnostic methods network meta-analysis ultrasound |
| title | Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis |
| title_full | Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis |
| title_fullStr | Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis |
| title_full_unstemmed | Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis |
| title_short | Application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma: a network meta-analysis |
| title_sort | application value of different imaging methods in the early diagnosis of small hepatocellular carcinoma a network meta analysis |
| topic | diagnostic imaging small hepatocellular carcinoma multiple diagnostic methods network meta-analysis ultrasound |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2024.1510296/full |
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