提高疑似原发性前列腺癌（PCa）患者初次检测的诊断准确性。84名接受镓68标记前列腺特异性膜抗原（[68Ga]Ga-PSMA-11）全身正电子发射的患者纳入我们科室治疗前的断层扫描/计算机断层扫描 (PET/CT) 成像。使用[68Ga]Ga-PSMA-11总-测量前列腺(SUVmax-PSMA)、肝脏(SUVmax-PSMA-L)和纵隔血池(SUVmax-PSMA-M)的最大标准摄取值(SUVmax)。身体 PET/CT 成像。还测定了[68Ga]Ga-PSMA-11衍生的代谢肿瘤体积(MTV)、总病变(TLP)和前列腺焦点集中横截面积(CAP)。此外，利用受试者工作特征曲线分析前列腺特异性抗原（PSA）水平和上述影像学特征，以确定临界值，以提高疑似PCa的诊断准确性。最后，进行多变量回归分析，寻找独立的预测因子，以提高[68Ga]Ga-PSMA-11全身成像的诊断准确性。PCa组和非PCa组在年龄、身高、体质等方面没有显着差异。体重、注射剂量，PSA 水平、SUVmax-PSMA、TLP、MTV 和 CAP 除外。此外，SUVmax-PSMA 衍生的 SUVmax-PSMA-T/L 和 SUVmax-PSMA-T/M 均存在显着差异。此外，PSA水平、SUVmax-PSMA、SUVmax-PSMA-T/L、SUVmax-PSMA-T/M、TLP、MTV和CAP的曲线下面积可预测[68Ga]Ga-PSMA-11上的PCa影像学检查分别为 0.620 (95% CI 0.485-0.755)、0.864 (95% CI 0.757-0.972)、0.819 (95% CI 0.704-0.935)、0.876 (95% CI 0.771-0.980)、0.845 (95%分别为 CI 0.741-0.949)、0.820 (95% CI 0.702-0.938)、0.627 (95% CI 0.499-0.754)。然而，多变量回归分析显示SUVmax-PSMA是一个独立的预测因子，截止值为11.5，比值比为1.221。截止值为11.5的SUVmax-PSMA是一个独立的预测因子，可以提高PCa的诊断准确性。关于 [68Ga]Ga-PSMA-11 全身成像。© 2023。作者获得 Springer-Verlag GmbH 德国（Springer Nature 旗下公司）的独家许可。

To improve the diagnostic accuracy of initial detection in patients with suspected primary prostate cancer (PCa).Eighty-four patients who underwent Gallium-68-labeled prostate-specific membrane antigen ([68Ga]Ga-PSMA-11) total-body positron emission tomography/computed tomography (PET/CT) imaging before treatment in our department were enrolled. The maximum standard uptake value (SUVmax) of the prostate (SUVmax-PSMA), liver (SUVmax-PSMA-L), and mediastinal blood pool (SUVmax-PSMA-M) was measured using [68Ga]Ga-PSMA-11 total-body PET/CT imaging. The [68Ga]Ga-PSMA-11 derived metabolic tumor volume (MTV), the total lesion (TLP), and the cross-sectional areas of focal concentration in the prostate (CAP) were also determined. Besides, the prostate-specific antigen (PSA) levels and the above imaging characteristics were analyzed using receiver operating characteristic curves to identify the cutoff value to improve the diagnostic accuracy of suspected PCa. Finally, a multivariate regression analysis was conducted to discover the independent predictor to improve the diagnostic accuracy on [68Ga]Ga-PSMA-11 total-body imaging.There was no significant difference between the PCa and Non-PCa groups in age, height, weight, injected dose, except for the PSA levels, the SUVmax-PSMA, TLP, MTV, and CAP. Besides, the SUVmax-PSMA-T/L and SUVmax-PSMA-T/M derived from SUVmax-PSMA were both significantly different. In addition, the areas under the curve of PSA levels, SUVmax-PSMA, SUVmax-PSMA-T/L, SUVmax-PSMA-T/M, TLP, MTV, and CAP to predict PCa on [68Ga]Ga-PSMA-11 imaging were 0.620 (95% confidence interval (CI) 0.485-0.755), 0.864 (95% CI 0.757-0.972), 0.819 (95% CI 0.704-0.935), 0.876 (95% CI 0.771-0.980), 0.845 (95% CI 0.741-0.949), 0.820 (95% CI 0.702-0.938), 0.627 (95% CI 0.499-0.754), respectively. However, a multivariate regression analysis showed that SUVmax-PSMA was an independent predictor, with a cutoff value of 11.5 and an odds ratio of 1.221.The SUVmax-PSMA with a cutoff value of 11.5 was an independent predictor to improve the diagnostic accuracy of PCa on [68Ga]Ga-PSMA-11 total-body imaging.© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.