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超越前列腺影像报告和数据系统:将磁共振成像前列腺影像报告和数据系统与前列腺特异性膜抗原正电子发射断层扫描/计算机断层扫描的原发性评分相结合,形成一个综合(P)评分,以更准确地诊断临床显著前列腺癌。

Beyond Prostate Imaging Reporting and Data System: Combining Magnetic Resonance Imaging Prostate Imaging Reporting and Data System and Prostate-Specific Membrane Antigen-Positron Emission Tomography/Computed Tomography PRIMARY Score in a Composite (P) Score for More Accurate Diagnosis of Clinically Significant Prostate Cancer.

机构信息

Theranostics and Nuclear Medicine, St Vincent's Hospital, Sydney, Australia.

Garvan Institute of Medical Research, Sydney, Australia.

出版信息

J Urol. 2024 Aug;212(2):299-309. doi: 10.1097/JU.0000000000004010. Epub 2024 May 17.

DOI:10.1097/JU.0000000000004010
PMID:38758680
Abstract

PURPOSE

The Prostate Imaging Reporting and Data System (PI-RADS) score is standard of care for clinically significant prostate cancer (csPCa) diagnosis. The PRIMARY score (prostate-specific membrane antigen [PSMA]-positron emission tomography [PET]/CT) also has high diagnostic accuracy for csPCa. This study aimed to develop an easily calculated combined (P) score for csPCa detection (International Society of Urological Pathology [ISUP] ≥2) incorporating separately read PI-RADS and PRIMARY scores, with external validation.

MATERIALS AND METHODS

Two datasets of men with suspected PCa, no prior biopsy, recent MRI and Ga-PSMA-11-PET/CT, and subsequent transperineal biopsy were evaluated. These included the development sample (n = 291, 56% csPCa) a prospective trial and the validation sample (n = 227, 67% csPCa) a multicenter retrospective database. Primary outcome was detection of csPCa (ISUP ≥2), with ISUP ≥ 3 cancer detection a secondary outcome. Score performance was evaluated by area under the curve, sensitivity, specificity, and decision curve analysis.

RESULTS

The 5-point combined (P) score was developed in a prospective dataset. In the validation dataset, csPCa was identified in 0%, 20%, 52%, 96%, and 100% for P score 1 to 5. The area under the curve was 0.93 (95% CI: 0.90-0.96), higher than PI-RADS 0.89 (95% CI: 0.85-0.93, = .039) and PRIMARY score alone 0.84 (95% CI: 0.79-0.89, < .001). Splitting scores at 1/2 (negative) vs 3/4/5 (positive), P score sensitivity was 94% (95% CI: 89-97) compared to PI-RADS 89% (95% CI: 83-93) and PRIMARY score 86% (95% CI: 79-91). For ISUP ≥ 3, P score sensitivity was 99% (95% CI: 95-100) vs 94% (95% CI: 88-98) and 92% (95% CI: 85-97) for PI-RADS and PRIMARY scores respectively. A maximum standardized uptake value > 12 (P score 5) was ISUP ≥ 2 in all cases with 93% ISUP ≥ 3.

CONCLUSIONS

The P score is easily calculated and improves accuracy for csPCa over both PI-RADS and PRIMARY scores. It should be considered when PSMA-PET is undertaken for diagnosis.

摘要

目的

前列腺影像报告和数据系统(PI-RADS)评分是临床显著前列腺癌(csPCa)诊断的标准。原发性评分(前列腺特异性膜抗原[PSMA]-正电子发射断层扫描[PET]/CT)对于 csPCa 也具有较高的诊断准确性。本研究旨在开发一种易于计算的联合(P)评分,用于检测 csPCa(国际泌尿病理学会[ISUP]≥2),该评分结合了分别读取的 PI-RADS 和 PRIMARY 评分,并进行了外部验证。

材料和方法

评估了两组疑似前列腺癌、无既往活检、近期 MRI 和 Ga-PSMA-11-PET/CT 以及随后经会阴活检的男性患者。这些包括开发样本(n=291,56% csPCa)和前瞻性试验以及验证样本(n=227,67% csPCa)的多中心回顾性数据库。主要结局是检测 csPCa(ISUP≥2),次要结局是检测 ISUP≥3 癌症。通过曲线下面积、敏感性、特异性和决策曲线分析评估评分性能。

结果

5 分联合(P)评分在前瞻性数据集开发。在验证数据集,P 评分 1 至 5 时,csPCa 的检出率分别为 0%、20%、52%、96%和 100%。曲线下面积为 0.93(95%CI:0.90-0.96),高于 PI-RADS 0.89(95%CI:0.85-0.93, =.039)和原发性评分 0.84(95%CI:0.79-0.89, <.001)。将评分分为 1/2(阴性)与 3/4/5(阳性),P 评分的敏感性为 94%(95%CI:89-97),而 PI-RADS 为 89%(95%CI:83-93)和原发性评分 86%(95%CI:79-91)。对于 ISUP≥3,P 评分的敏感性为 99%(95%CI:95-100),而 PI-RADS 和原发性评分的敏感性分别为 94%(95%CI:88-98)和 92%(95%CI:85-97)。最大标准化摄取值>12(P 评分 5)时,所有病例均为 ISUP≥2,其中 93%的病例为 ISUP≥3。

结论

P 评分易于计算,与 PI-RADS 和 PRIMARY 评分相比,可提高 csPCa 的准确性。当进行 PSMA-PET 诊断时,应考虑使用该评分。

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