Sci Rep:使用18F-FACBC PET和多序列多参数MRI预测前列腺癌的侵袭性

2020-06-27 AlexYang MedSci原创

该前瞻性的单中心的临床试验(NCT02002455)的目的是评估

该前瞻性的单中心的临床试验(NCT02002455)的目的是评估18F-FACBC PET和多序列多参数MRI这两种先进的后处理方法在预测前列腺癌(PCa)侵袭性方面的能力。其中PCa侵袭性通过格林森等级分组(GGG)定义。

研究包括了21名前列腺切除手术前经历了PET/CT、PET/MRI和MRI的患者。研究人员总共对16个PET特异性(VT)定量参数和MRI定量参数进行了评估。研究人员使用了单变量和多变量分析来评估定量参数及其组合预测GGG 1与>1的能力,并使用逻辑回归与嵌套排除配对交叉验证(LPOCV)方案,以及应用递归特征消除技术进行特征选择。二阶旋转帧成像(RAFF)、单指数和峰度衍生参数的LPOCV AUC在0.72-0.92范围内,而VT的对应值为0.85。峰度函数的K参数在GGG预测方面表现最好,其次是基于DWI、RAFF和18F-FACBC PET的定量参数。使用有或无特征选择的参数组合均无大的改善。另外,在DWI和RAFF导出的参数中加入18F-FACBC PET导出的参数(VT、SUV)也并没有改善LPOCV AUC。

原始出处:

Parisa Movahedi, Harri Merisaari, Ileana Montoya Perez et al. Prediction of prostate cancer aggressiveness using 18F-Fluciclovine (FACBC) PET and multisequence multiparametric MRI. Sci Rep. 10 June 2020

 

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    2020-06-29 sunyl07
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    2020-12-01 feather89
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    2020-06-27 misszhang

    前列腺癌相关研究,学习了,谢谢梅斯

    0

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