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基于MRI的前列腺癌评估中ADC及ADC比率的诊断性能:一项系统评价与Meta分析

Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: A systematic review and meta-analysis.

作者信息

Agrotis Georgios, Pooch Eduardo, Abdelatty Mohamed, Benson Sean, Vassiou Aikaterini, Vlychou Marianna, Beets-Tan Regina G H, Schoots Ivo G

机构信息

Department of Radiology, University Hospital of Larissa, Larissa, Greece.

Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.

出版信息

Eur Radiol. 2025 Jan;35(1):404-416. doi: 10.1007/s00330-024-10890-6. Epub 2024 Jul 12.

Abstract

OBJECTIVES

To identify factors influencing the diagnostic performance of the quantitative imaging biomarkers ADC and ADCratio in prostate cancer (PCa) detection.

MATERIALS AND METHODS

A systematic literature search was conducted in Embase, Medline and Web of Science, for studies evaluating ADC values and ADCratio for PCa diagnosis, using the same patient cohorts and using histopathological references as ground truth. Pooled sensitivities, specificities, summary ROC curves and AUCs were calculated from constructed contingency data tables. Diagnostic performance (AUC) was quantitatively pooled using a bivariate mixed effects model. For identifying influencing factors, subgroup analysis, publication bias and heterogeneity assessment were investigated.

RESULTS

Thirteen studies, involving 1038 patients and 1441 lesions, were included. For ADC, the pooled sensitivity and specificity was 80% (95% CI: 74-85%) and 78% (95% CI: 70-85%), respectively. For ADCratio pooled sensitivity and specificity was 80% (95% CI: 74-84%) and 80% (95% CI: 71-87%). Summary ROC analysis revealed AUCs of 0.86 (95% CI: 0.83-0.89) and 0.86 (95% CI: 0.83-0.89), respectively. Meta-regression showed heterogeneity between both imaging biomarkers. Subgroup analysis showed that ADCratio improved diagnostic performance in comparison to ADC when including both peripheral and transitional zone lesions (AUC: 0.87 [95% CI: 0.84-0.90] and 0.82 [95% CI: 0.79-0.85], respectively).

CONCLUSION

Both ADC and ADCratio imaging biomarkers showed good and comparable diagnostic performance in PCa diagnosis. However, ADCratio shows better diagnostic performance than ADC in diagnosing transition zone cancers.

CLINICAL RELEVANCE STATEMENT

In quantitative MRI-based PCa diagnosis, the imaging biomarker ADCratio is useful in challenging MRI readings of lesions. Understanding the performance of quantitative imaging biomarkers better can aid diagnostic MRI protocols, enhancing the precision of PCa assessments.

KEY POINTS

MRI diffusion-weighted imaging-based ADC and ADCratio have comparable diagnostic performance in PCa assessment. In contrast to ADC, the ADCratio improves diagnostic performance, when assessing whole gland lesions. Compared to ADCratio, the ADC demonstrates enhanced diagnostic performance when evaluating peripheral zone lesions.

摘要

目的

确定影响定量成像生物标志物表观扩散系数(ADC)和ADC比值在前列腺癌(PCa)检测中诊断性能的因素。

材料与方法

在Embase、Medline和Web of Science中进行系统文献检索,以查找使用相同患者队列并以组织病理学参考作为金标准来评估PCa诊断中ADC值和ADC比值的研究。从构建的列联表中计算合并敏感度、特异度、汇总ROC曲线和曲线下面积(AUC)。使用双变量混合效应模型对诊断性能(AUC)进行定量合并。为了确定影响因素,进行了亚组分析、发表偏倚分析和异质性评估。

结果

纳入了13项研究,涉及1038例患者和1441个病灶。对于ADC,合并敏感度和特异度分别为80%(95%CI:74 - 85%)和78%(95%CI:70 - 85%)。对于ADC比值,合并敏感度和特异度分别为80%(95%CI:74 - 84%)和80%(95%CI:71 - 87%)。汇总ROC分析显示AUC分别为0.86(95%CI:0.83 - 0.89)和0.86(95%CI:0.83 - 0.89)。Meta回归显示这两种成像生物标志物之间存在异质性。亚组分析表明,当纳入外周区和移行区病灶时,与ADC相比,ADC比值改善了诊断性能(AUC分别为0.87[95%CI:0.84 - 0.90]和0.82[95%CI:0.79 - 0.85])。

结论

ADC和ADC比值这两种成像生物标志物在PCa诊断中均表现出良好且相当的诊断性能。然而,在诊断移行区癌症方面,ADC比值比ADC表现出更好的诊断性能。

临床相关性声明

在基于定量MRI的PCa诊断中,成像生物标志物ADC比值有助于对具有挑战性的病灶MRI读数进行解读。更好地了解定量成像生物标志物的性能有助于优化诊断MRI方案,提高PCa评估的准确性。

关键点

基于MRI扩散加权成像的ADC和ADC比值在PCa评估中具有相当的诊断性能。与ADC不同,在评估整个腺体病灶时,ADC比值改善了诊断性能。与ADC比值相比,在评估外周区病灶时,ADC表现出更强的诊断性能。

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