The Value of68Ga-PSMA PET/MRI for Classifying Patients with PI-RADS 3 Lesions on Multiparametric MRI: A Prospective Single-Center Study

医学 前列腺癌 接收机工作特性 活检 谷氨酸羧肽酶Ⅱ 多参数磁共振成像 前列腺 单中心 核医学 放射科 曲线下面积 前瞻性队列研究 前列腺活检 预测值 磁共振成像 癌症 内科学
作者
Jingyan Shi,Danyan Li,Mengxia Chen,Yao Fu,Shan Peng,Qing Zhang,Jing Liang,Qun Lü,Jiaming Lu,Shuyue Ai,Feng Wang,Xuefeng Qiu,Hongqian Guo
出处
期刊:The Journal of Nuclear Medicine [Society of Nuclear Medicine and Molecular Imaging]
卷期号:65 (4): 555-559 被引量:8
标识
DOI:10.2967/jnumed.123.266742
摘要

Prostate Imaging Reporting and Data System (PI-RADS) category 3 lesions remain a diagnostic challenge for detecting clinically significant prostate cancer (csPCa). This article evaluates the added value of 68Ga-labeled prostate-specific membrane antigen-11 (68Ga-PSMA) PET/MRI in classifying PI-RADS 3 lesions to avoid unnecessary biopsies. Methods: Sixty biopsy-naïve men with PI-RADS 3 lesions on multiparametric MRI were prospectively enrolled between February 2020 and October 2022. In all, 56 participants underwent 68Ga-PSMA PET/MRI and prostate systematic biopsy. 68Ga-PSMA PET/MRI was independently evaluated and reported by the 5-level PRIMARY score developed within the PRIMARY trial. Receiver-operating-characteristic curve analysis was used to estimate the diagnostic performance. Results: csPCa was detected in 8 of 56 patients (14.3%). The proportion of patients with csPCa and a PRIMARY score of 1, 2, 3, 4, and 5 was 0% (0/12), 0% (0/13), 6.3% (1/16), 38.5% (5/13), and 100% (2/2), respectively. The estimated area under the curve of the PRIMARY score was 0.91 (95% CI, 0.817–0.999). For a PRIMARY score of 4–5 versus a PRIMARY score of 1–3, the sensitivity, specificity, positive predictive value, and negative predictive value were 87.5%, 83.3%, 46.7%, and 97.5%, respectively. With a PRIMARY score of at least 4 to make a biopsy decision in men with PI-RADS 3 lesions, 40 of 48 patients (83.3%) could avoid unnecessary biopsies, at the expense of missing 1 of 8 (12.5%) csPCa cases. Conclusion:68Ga-PSMA PET/MRI has great potential to classify patients with PI-RADS 3 lesions and help avoid unnecessary biopsies.
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