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使用磁共振成像评估代谢功能障碍相关脂肪性肝病风险患者肝脏脂肪变性的受控衰减参数准确性:一项系统评价和荟萃分析。

Accuracy of controlled attenuation parameter for liver steatosis in patients at risk for metabolic dysfunction-associated steatotic liver disease using magnetic resonance imaging: a systematic review and meta-analysis.

作者信息

Malandris Konstantinos, Katsoula Anastasia, Liakos Aris, Bekiari Eleni, Karagiannis Thomas, Theocharidou Eleni, Giouleme Olga, Sinakos Emmanouil, Tsapas Apostolos

机构信息

Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Greece (Konstantinos Malandris, Aris Liakos, Eleni Bekiari, Thomas Karagiannis, Apostolos Tsapas).

Second Propedeutic Medical Department, Aristotle University of Thessaloniki, Greece (Anastasia Katsoula, Olga Giouleme).

出版信息

Ann Gastroenterol. 2024 Sep-Oct;37(5):579-587. doi: 10.20524/aog.2024.0910. Epub 2024 Aug 19.

DOI:10.20524/aog.2024.0910
PMID:39238800
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11372538/
Abstract

BACKGROUND

The controlled attenuation parameter (CAP) enables the noninvasive assessment of liver steatosis. We performed a systematic review and meta-analysis to evaluate the diagnostic accuracy of CAP for identifying liver steatosis in patients at risk for metabolic dysfunction-associated steatotic liver disease (MASLD), using magnetic resonance imaging proton density fat fraction (MRI-PDFF) as the reference standard.

METHODS

We searched Medline, Embase, Cochrane Library and gray literature sources up to March 2024. We defined MASLD as MRI-PDFF ≥5%. We also assessed the accuracy of CAP for identifying patients with MRI-PDFF ≥10%. We calculated pooled sensitivity and specificity estimates using hierarchical random-effects models. We assessed the risk of bias using the Quality Assessment of Diagnostic Accuracy Studies 2 tool, and the certainty in meta-analysis estimates using the Grading of Recommendations Assessment, Development and Evaluation framework.

RESULTS

We included 8 studies with 1116 participants. The prevalence of MASLD ranged from 65.2-93.9%. Pooled sensitivity and specificity of CAP for MRI-PDFF ≥5% were 0.84 (95% confidence interval [CI] 0.79-0.88) and 0.77 (95%CI 0.68-0.84), respectively, with an area under the receiver operating characteristic curve (AUROC) of 0.88. The pooled sensitivity and specificity for MRI-PDFF ≥10% were 0.83 (95%CI 0.80-0.87) and 0.72 (95%CI 0.59-0.82), with an AUROC of 0.85. The certainty in our estimates was low to very low because of the high risk of bias, inconsistency and imprecision.

CONCLUSIONS

CAP has acceptable diagnostic accuracy for both MRI-PDFF ≥5% and MRI-PDFF ≥10%. Adequately powered and rigorously conducted diagnostic accuracy studies are warranted to establish the optimal CAP thresholds.

摘要

背景

受控衰减参数(CAP)可实现对肝脂肪变性的无创评估。我们进行了一项系统评价和荟萃分析,以磁共振成像质子密度脂肪分数(MRI-PDFF)作为参考标准,评估CAP在识别代谢功能障碍相关脂肪性肝病(MASLD)风险患者肝脂肪变性方面的诊断准确性。

方法

我们检索了截至2024年3月的Medline、Embase、Cochrane图书馆和灰色文献来源。我们将MASLD定义为MRI-PDFF≥5%。我们还评估了CAP识别MRI-PDFF≥10%患者的准确性。我们使用分层随机效应模型计算合并敏感性和特异性估计值。我们使用诊断准确性研究质量评估2工具评估偏倚风险,并使用推荐分级评估、制定和评价框架评估荟萃分析估计值的确定性。

结果

我们纳入了8项研究,共1116名参与者。MASLD的患病率在65.2%-93.9%之间。对于MRI-PDFF≥5%,CAP的合并敏感性和特异性分别为0.84(95%置信区间[CI]0.79-0.88)和0.77(95%CI 0.68-0.84),受试者工作特征曲线下面积(AUROC)为0.88。对于MRI-PDFF≥10%,合并敏感性和特异性分别为0.83(95%CI 0.80-0.87)和0.72(95%CI 0.59-0.82),AUROC为0.85。由于偏倚、不一致性和不精确性的高风险,我们估计值的确定性为低到非常低。

结论

对于MRI-PDFF≥5%和MRI-PDFF≥10%,CAP均具有可接受的诊断准确性。需要进行足够样本量且严格开展的诊断准确性研究,以确定最佳的CAP阈值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/bc6dc3691976/AnnGastroenterol-37-579-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/ada839f8440b/AnnGastroenterol-37-579-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/3a34b3683f34/AnnGastroenterol-37-579-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/8a13323f83fa/AnnGastroenterol-37-579-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/a389c5b51493/AnnGastroenterol-37-579-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/bc6dc3691976/AnnGastroenterol-37-579-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/ada839f8440b/AnnGastroenterol-37-579-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/3a34b3683f34/AnnGastroenterol-37-579-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/8a13323f83fa/AnnGastroenterol-37-579-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/a389c5b51493/AnnGastroenterol-37-579-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a2/11372538/bc6dc3691976/AnnGastroenterol-37-579-g006.jpg

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