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在同时进行前列腺癌MR-PET成像时,MR显微扩散系数与PET标准吸收值之间的相关性

Andrii Pozaruk^1,2,3, Vitaliy Atamaniuk², Kamlesh Pawar^3,4

¹Department of Photomedicine and Physical Chemistry, Institute of Medical Sciences, The Medical College of The University of Rzeszów, 35-310 Rzeszów, Poland.

International journal of molecular sciences

|February 13, 2025

概括

68Gallium-PSMA-11 (Ga-PSMA-11) PET SUV的高级深度学习 (DL) 与传统的PET-MR相比,改善了前列腺癌患者与MR ADC地图的相关性. 这一发现有助于更好地表征疾病.

科学领域:

核医学成像技术核医学成像技术
放射性药物放射性药物放射性药物
前列腺癌诊断的诊断方法

背景情况:

Ga-PSMA-11 PET/CT对于前列腺癌的分期至关重要.
核磁共振扩散权重成像 (DWI) 通过表面扩散系数 (ADC) 地图提供了对组织微观结构的洞察.
整合PET SUV和ADC值可能会提高诊断准确度.

研究的目的:

为了评估深度学习 (DL) 衍生的Ga-PSMA-11 PET标准化吸收值 (SUV) 是否与MR ADC地图比传统的PET-MR SUV更好地相关.
为了确定与ADC值最大相关性的最佳SUV值.

主要方法:

一组32名前列腺癌患者接受了CT和PET-MR成像.
用K折交叉验证 (4折) 进行DL模型的培训 (24名患者) 和验证 (8名患者).
对27名患者的ADC图与T2图像进行了对齐,以分析ADC和SUV值之间的相关性.

主要成果:

在前列腺癌病变中观察到ADC和SUV值之间的反相关性 (ρ = -0.20至 -0.51).
在传统PET-MR和基于DL的PET (PETDL) 之间发现了SUV平均值的统计学上显著差异.
与传统PET-MR SUV相比,基于DL的SUV值与ADC值的相关性更强.

结论:

基于DL的Ga-PSMA-11 PET SUV显示了前列腺癌中MR ADC地图与MR ADC地图的改善相关性.
与传统方法相比,这种先进的DL方法可能提供更精确的前列腺癌特征.

关键词:

看似的扩散系数.减弱纠正的纠正减弱纠正深度学习是一种深度学习.前列腺癌是前列腺癌.前列腺特异性膜抗原前列腺特异性膜抗原同时使用PET/MR.标准化吸收值是指标准化的吸收值.

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