18F-PSMA-1007 PET/MR衍生参数对初诊前列腺癌风险分层及转移状态的预测价值

Predictive value of 18F-PSMA-1007 PET/MR-derived parameters for risk stratification and metastatic status in newly diagnosed prostate cancer

  • 摘要:
    目的  探讨18F-前列腺特异性膜抗原(PSMA)-1007 PET/MR衍生参数对初诊前列腺癌(PCa)风险分层和转移状态的预测价值。
    方法  回顾性分析2023年4月至2024年1月在海军军医大学第一附属医院行18F-PSMA-1007 PET/MR显像的46例初诊PCa患者年龄 (69.9±9.7)岁,范围49~86岁的影像及临床资料。根据美国国立综合癌症网络PCa指南和肿瘤是否发生转移将患者分别分为高危组和中低危组、转移组和无转移组。采用Mann-Whitney U检验比较组间原发灶最大标准摄取值(SUVmax)、最小表观扩散系数(ADCmin)、肿瘤PSMA体积(PSMA-TV)、病灶PSMA总量(TL-PSMA)的差异。采用受试者工作特征(ROC)曲线分析各参数对高危PCa和转移性PCa的预测效能。
    结果  46例PCa患者中,高危组36例、中低危组10例;转移组15例、无转移组31例。高危组与中低危组间SUVmax28.6(17.9,44.0)对14.7(9.7,22.8)、ADCmin0.733(0.647,0.822)×10−3 mm2/s对0.951(0.906,1.009)×10−3 mm2/s、PSMA-TV17.5(11.8,46.0) cm3对5.5(2.6,10.1) cm3、TL-PSMA155.0(78.2,342.0) cm3对29.8(16.4,45.4) cm3的差异均有统计学意义(Z=−3.888~3.955,均P<0.05)。转移组与无转移组间SUVmax42.4(20.0,50.0)对20.4(11.9,33.8)、ADCmin0.661(0.578,0.743)×10−3 mm2/s对0.808(0.727,0.949)×10−3 mm2/s、PSMA-TV34.1(12.6,64.2) cm3对11.7(7.5,18.6) cm3、TL-PSMA260.1(117.7,495.0) cm3对78.1(33.3,159.1) cm3的差异亦均有统计学意义(Z=−3.234~2.542,均P<0.05)。ROC曲线分析结果显示,SUVmax、ADCmin、PSMA-TV、TL-PSMA预测高危PCa的AUC分别为0.783(95%CI:0.637~0.891)、0.906(95%CI:0.782~0.972)、0.913(95%CI:0.791~0.976)、0.908(95%CI:0.786~0.973);预测转移性PCa的AUC分别为0.733(95%CI:0.582~0.853)、0.797(95%CI:0.652~0.901)、0.706(95%CI:0.554~0.831)、0.723(95%CI:0.571~0.844)。
    结论  18F-PSMA-1007 PET/MR衍生参数可作为术前预测初诊PCa风险分层和转移状态的无创影像指标。

     

    Abstract:
    Objective  This study aimed to explore the predictive value of 18F-prostate specific membrane antigen (PSMA)-1007 PET/MR-derived parameters for risk stratification and metastatic status in newly diagnosed prostate cancer (PCa).
    Methods  A retrospective analysis was conducted on the images and clinical data of 46 patients with newly diagnosed PCa (aged 49-86(69.9±9.7) years) who underwent 18F-PSMA-1007 PET/MR examination in the First Affiliated Hospital of Naval Medical University from April 2023 to January 2024. In accordance with the risk stratification recommended by the guidelines of National Comprehensive Cancer Network and the occurrence of tumor metastasis, patients were divided into binary groups: high-risk and intermediate-low-risk groups as well as metastasis and non-metastasis groups. The Mann-Whitney U test was used to compare intergroup differences in maximum standardized uptake value (SUVmax), minimum apparent diffusion coefficient (ADCmin), tumor volume of PSMA (PSMA-TV), and total lesion of PSMA (TL-PSMA) of primary lesions. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of various parameters for high-risk PCa and metastatic PCa.
    Results  Among the 46 PCa patients, including 36 cases in the high-risk group and 10 cases in the intermediate-low-risk group as well as 15 cases in the metastasis group and 31 cases in the non-metastasis group. Comparing the group with high-risk and that with intermediate-low-risk, there were statistically significant differences (Z=−3.888 to 3.955, all P<0.05) in SUVmax (28.6(17.9, 44.0) vs. 14.7(9.7, 22.8)), ADCmin (0.733(0.647, 0.822)×10−3 mm2/s vs. 0.951(0.906, 1.009)×10−3 mm2/s), PSMA-TV (17.5(11.8, 46.0) cm3 vs. 5.5(2.6, 10.1) cm3), and TL-PSMA (155.0(78.2, 342.0) cm3 vs. 29.8(16.4, 45.4) cm3) . Comparing the group with metastasis and that with non-metastasis, there were statistically significant differences (Z=−3.234 to 2.542, all P<0.05) in SUVmax (42.4(20.0, 50.0) vs. 20.4(11.9, 33.8)), ADCmin (0.661(0.578, 0.743)×10−3 mm2/s vs. 0.808(0.727, 0.949)×10−3 mm2/s), PSMA-TV (34.1(12.6, 64.2) cm3 vs. 11.7(7.5, 18.6) cm3), and TL-PSMA (260.1(117.7, 495.0) cm3 vs. 78.1(33.3, 159.1) cm3). The results of the ROC curve analysis demonstrated that the AUCs for predicting high-risk PCa using SUVmax, ADCmin, PSMA-TV, and TL-PSMA were 0.783(95%CI: 0.637-0.891), 0.906(95%CI: 0.782-0.972), 0.913(95%CI: 0.791-0.976) and 0.908(95%CI: 0.786-0.973), respectively. The AUCs for predicting metastatic PCa using SUVmax, ADCmin, PSMA-TV, and TL-PSMA were 0.733(95%CI: 0.582~0.853), 0.797(95%CI: 0.652~0.901), 0.706(95%CI: 0.554~0.831), and 0.723(95%CI: 0.571~0.844), respectively.
    Conclusions  The parameters derived from 18F-PSMA-1007 PET/MR can be used as noninvasive imaging biomarkers for preoperative prediction of risk stratification and metastatic status in newly diagnosed PCa.

     

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