PSMA PET定量参数与病理ISUP分级的关联:国际多中心分析。

IF 8.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Timo F W Soeterik, Joris G Heetman, Rick Hermsen, Lieke Wever, Jules Lavalaye, Maarten Vinken, Clinton D Bahler, Courtney Yong, Mark Tann, Claudia Kesch, Robert Seifert, Tugce Telli, Peter Ka-Fung Chiu, Kwan Kit Wu, Fabio Zattoni, Laura Evangelista, Emma Segalla, Antonio Barone, Francesco Ceci, Pawel Rajwa, Giancarlo Marra, Elio Mazzone, Jean-Paul A Van Basten, Harm H E Van Melick, Roderick C N Van den Bergh, Giorgio Gandaglia
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引用次数: 0

摘要

目的:评估 PSMA PET 定量参数是否与病理 ISUP 分级组(GG)和升级/降级相关:在全球七个转诊中心接受根治性前列腺切除术并进行或不进行盆腔淋巴结清扫术的 PCa 患者均接受了术前 PSMA PET 分期评估。收集的 PSMA PET 参数包括 SUVmax、PSMA 体积和 PSMA 总蓄积量(PSMAtotal)。多变量逻辑回归评估了 PSMA PET 定量参数与手术 ISUP GG 之间的关联。结果显示,共纳入了 605 例患者:共纳入 605 例患者。总体而言,病理 ISUP GG1、2、3、4 和 5 的患者分别占 2%、37%、37%、10% 和 13%。在多变量分析中,在考虑 PSA 和基于 DRE、医院和放射线的临床 T 分期后,所有三个参数 SUVmax、PSMAvolume 和 PSMAtotal 都与手术病理的 GG ≥ 4 相关(所有参数的最大值分别为:PSMAvolume 72% (95%CI 67 - 76)、PSMAtotal 74% (70 - 79)、75% (95%CI 71 - 80)(所有参数的最大值分别为 0-6.5、6.5-15、15-28、>28,PSMAvol 0-2、2-9、9-20、>20,PSMAtotal 0-12、12-98、>98)。PSMAvolume 与 GG 升级明显相关(OR 1.03 95%CI 1.01 - 1.05)。在活检 GG1-3 的患者中,与 PSMA 体积相比,PSMA 体积≥ 2 与升级为 ISUP GG≥ 4 的几率明显相关:PSMA PET 定量参数与手术 ISUP GG 和升级相关。我们提出了与临床相关的这些参数的阈值,它们可以改善日常临床实践中的 PCa 风险分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The association of quantitative PSMA PET parameters with pathologic ISUP grade: an international multicenter analysis.

The association of quantitative PSMA PET parameters with pathologic ISUP grade: an international multicenter analysis.

Purpose: To assess if PSMA PET quantitative parameters are associated with pathologic ISUP grade group (GG) and upgrading/downgrading.

Methods: PCa patients undergoing radical prostatectomy with or without pelvic lymph node dissection staged with preoperative PSMA PET at seven referral centres worldwide were evaluated. PSMA PET parameters which included SUVmax, PSMAvolume, and total PSMA accumulation (PSMAtotal) were collected. Multivariable logistic regression evaluated the association between PSMA PET quantified parameters and surgical ISUP GG. Decision-tree analysis was performed to identify discriminative thresholds for all three parameters related to the five ISUP GGs The ROC-derived AUC was used to determine whether the inclusion of PSMA quantified parameters improved the ability of multivariable models to predict ISUP GG ≥ 4.

Results: A total of 605 patients were included. Overall, 2%, 37%, 37%, 10% and 13% patients had pathologic ISUP GG1, 2, 3, 4, and 5, respectively. At multivariable analyses, all three parameters SUVmax, PSMAvolume and PSMAtotal were associated with GG ≥ 4 at surgical pathology after accounting for PSA and clinical T stage based on DRE, hospital and radioligand (all p < 0.05). Addition of all three parameters significantly improved the discrimination of clinical models in predicting GG ≥ 4 from 68% (95%CI 63 - 74) to 74% (95%CI 69 - 79) for SUVmax, 72% (95%CI 67 - 76) for PSMAvolume, 74% (70 - 79) for PSMAtotal and 75% (95%CI 71 - 80) when all parameters were included (all p < 0.05). Decision-tree analysis resulted in thresholds that discriminate between GG (SUVmax 0-6.5, 6.5-15, 15-28, > 28, PSMAvol 0-2, 2-9, 9-20 and > 20 and PSMAtotal 0-12, 12-98 and > 98). PSMAvolume was significantly associated with GG upgrading (OR 1.03 95%CI 1.01 - 1.05). In patients with biopsy GG1-3, PSMAvolume ≥ 2 was significantly associated with higher odds for upgrading to ISUP GG ≥ 4, compared to PSMAvolume < 2 (OR 6.36, 95%CI 1.47 - 27.6).

Conclusion: Quantitative PSMA PET parameters are associated with surgical ISUP GG and upgrading. We propose clinically relevant thresholds of these parameters which can improve in PCa risk stratification in daily clinical practice.

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来源期刊
CiteScore
15.60
自引率
9.90%
发文量
392
审稿时长
3 months
期刊介绍: The European Journal of Nuclear Medicine and Molecular Imaging serves as a platform for the exchange of clinical and scientific information within nuclear medicine and related professions. It welcomes international submissions from professionals involved in the functional, metabolic, and molecular investigation of diseases. The journal's coverage spans physics, dosimetry, radiation biology, radiochemistry, and pharmacy, providing high-quality peer review by experts in the field. Known for highly cited and downloaded articles, it ensures global visibility for research work and is part of the EJNMMI journal family.
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