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在前列腺成像报告和数据系统 (PI-RADS) ≥3病变的患者中优化前列腺活检决策:基于磁共振成像 (MRI) 的新型名图

Yanling Chen¹, Jinhua Lin², Wenxin Cao¹

¹Department of Radiology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.

Quantitative imaging in medicine and surgery

|December 19, 2024

概括

结合多参数核磁共振和合成核磁共振的新型纳米图准确预测前列腺癌 (PCa) 和临床显著的PCa (csPCa). 这些工具可以减少PI-RADS分数为3或更高的男性不必要的活检.

科学领域:

放射学放射学是一门学科.
在瘤学瘤学.
医疗成像医学成像

背景情况:

目前的前列腺癌 (PCa) 诊断依赖于前列腺成像报告和数据系统 (PI-RADS v2.1) 评分,但其主观性导致假阳性和不必要的活检.
合成MRI和明显扩散系数 (ADC) 是尚未集成到PCa风险分层预测工具中的定量指标.

研究的目的:

开发和验证使用多参数MRI (mpMRI),包括合成MRI,用于预测PCa和临床显著PCa (csPCa) 的风险的新型名录.
评估这些名录的潜力,以减少不必要的前列腺活检在PI-RADS ≥3分数的患者.

主要方法:

在活检之前,有323名疑似PCa的患者接受了mpMRI,包括合成MRI.
通过逻辑回归来确定PCa和csPCa的风险因素.
使用ROC分析,校准图表和决策曲线分析 (DCA) 进行了内部和外部验证.

主要成果:

纳米图包括年龄,合成MRI T2值,ADC和PI-RADS得分显示PCa和csPCa预测的高精度 (AUC高达0.947).
命名图表显示出优异的校准和对DCA的显著净益处.
活检减少率在10.0%至20.2%之间,PCa (4.5%) 和csPCa (1.7%-4.8%) 的失误率较低.

结论:

整合mpMRI和合成MRI的诺摩图有效预测PCa和csPCa风险.
这些预测工具可以显著减少PI-RADS ≥3病变的患者不必要的前列腺活检.

关键词:

多参数磁共振成像 (多参数核磁共振)这个名字是名ogramogram.前列腺活检活检前列腺活检前列腺癌 (PCa) 是一种癌症.合成共振成像 (合成核磁共振)

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