Roll Wolfgang, Schindler Philipp, Masthoff Max, Seifert Robert, Schlack Katrin, Bögemann Martin, Stegger Lars, Weckesser Matthias, Rahbar Kambiz
Department of Nuclear Medicine, University Hospital Muenster, 48149 Muenster, Germany.
Department of Radiology, University Hospital Muenster, 48149 Muenster, Germany.
Cancers (Basel). 2021 Jul 30;13(15):3849. doi: 10.3390/cancers13153849.
Lutetium PSMA-617 (Lu-PSMA) therapy in patients with metastatic castration resistant prostate cancer (mCRPC) has gained visibility through the ongoing phase III trial. The data on prediction of therapy outcome and survival out of pretherapeutic imaging parameters is still sparse. In this study, the predictive and prognostic value of radiomic features from Ga-PSMA-11 PET-MRI are analyzed. In total, 21 patients with mCRPC underwent Ga-PSMA-11 PET-MRI before Lu-PSMA therapy. The PET-positive tumor volume was defined and transferred to whole-body T2-, T1- and contrast-enhanced T1-weighted MRI-sequences. The radiomic features from PET and MRI sequences were extracted by using a freely available software package. For selecting features that allow differentiation of biochemical response (PSA decrease > 50%), a stepwise dimension reduction was performed. Logistic regression models were fitted, and selected features were tested for their prognostic value (overall survival) in all patients. Eight patients achieved biochemical response after Lu-PSMA therapy. Ten independent radiomic features differentiated well between responders and non-responders. The logistic regression model, including the feature interquartile range from T2-weighted images, revealed the highest accuracy (AUC = 0.83) for the prediction of biochemical response after Lu-PSMA therapy. Within the final model, patients with a biochemical response ( = 0.003) and higher T2 interquartile range values in pre-therapeutic imaging ( = 0.038) survived significantly longer. This proof-of-concept study provides first evidence on a potential predictive and prognostic value of radiomic analysis of pretherapeutic Ga-PSMA-11 PET-MRI before Lu-PSMA therapy.
镥 PSMA - 617(Lu - PSMA)疗法在转移性去势抵抗性前列腺癌(mCRPC)患者中的应用,通过正在进行的 III 期试验已受到关注。关于治疗前影像学参数对治疗结果和生存情况预测的数据仍然很少。在本研究中,分析了 Ga - PSMA - 11 PET - MRI 的放射组学特征的预测和预后价值。共有 21 例 mCRPC 患者在接受 Lu - PSMA 治疗前接受了 Ga - PSMA - 11 PET - MRI 检查。确定了 PET 阳性肿瘤体积,并将其转移至全身 T2、T1 和对比增强 T1 加权 MRI 序列。使用一个免费软件包提取 PET 和 MRI 序列的放射组学特征。为选择能够区分生化反应(PSA 降低>50%)的特征,进行了逐步降维。拟合逻辑回归模型,并在所有患者中测试所选特征的预后价值(总生存)。8 例患者在 Lu - PSMA 治疗后实现了生化反应。10 个独立的放射组学特征在反应者和无反应者之间有良好区分。包括 T2 加权图像的四分位数间距特征的逻辑回归模型,对 Lu - PSMA 治疗后生化反应的预测显示出最高准确性(AUC = 0.83)。在最终模型中,有生化反应的患者(P = 0.003)以及治疗前影像学中 T2 四分位数间距值较高的患者(P = 0.038)生存时间显著更长。这项概念验证研究首次证明了 Lu - PSMA 治疗前 Ga - PSMA - 11 PET - MRI 的放射组学分析具有潜在的预测和预后价值。