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

Predictive value of parameters derived from 18F-PSMA-1007 PET/MR 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)患者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指南和美国癌症联合委员会肿瘤、淋巴结、转移分期系统将患者分别分为中低危组与高危组、无转移组与转移组。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PET/MR衍生参数对高危PCa和转移性PCa的预测效能。
    结果  46例PCa患者中,中低危组10例(21.7%)、高危组36例(78.3%);无转移组31例(67.4%)、转移组15例(32.6%)。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ROC曲线下面积(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无创预测初诊PCa风险分层和转移状态的影像指标。

     

    Abstract:
    Objective To explore the predictive value of the parameters derived from 18F-prostate specific membrane antigen (PSMA)-1007 PET/MR for risk stratification and metastatic status in patients newly diagnosed with prostate cancer (PCa).
    Methods A retrospective analysis was conducted on the images and clinical data of 46 patients newly diagnosed with PCa (age (69.9±9.7) years, range: 49–86 years) who underwent 18F-PSMA-1007 PET/MR in the First Affiliated Hospital of Naval Medical University from April 2023 to January 2024. In accordance with the recommendations from the National Comprehensive Cancer Network of the United States and the tumor, node, metastasis staging system of the American Joint Committee on Cancer, the patients were divided into binary groups: intermediate-to-low-risk and high-risk groups, and nonmetastasis and metastasis groups. 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 the parameters derived from PET/MR for high-risk PCa and metastatic PCa.
    Results Among the 46 patients with PCa, 10 (21.7%) in the intermediate-to-low-risk group, and 36 (78.3%) were in the high-risk group; 31 (67.4%) in the nonmetastasis group, and 15 (32.6%) in the metastasis group. 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) were observed between the high-risk and intermediate-to-low-risk groups. 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) were also found between the metastasis and nonmetastasis groups. ROC curve analysis demonstrated that the areas under curve (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.
    Conclusion The parameters derived from 18F-PSMA-1007 PET/MR can be used as imaging markers for the preoperative, noninvasive prediction of risk stratification and metastatic status in patients newly diagnosed with PCa.

     

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