Prognostic 18F-flotufolastat PET parameters for outcome assessment of 177Lu-labeled PSMA-targeted radioligand therapy in metastatic castration-resistant prostate cancer

IF 8.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Journal of Nuclear Medicine and Molecular Imaging Pub Date : 2025-01-23 DOI:10.1007/s00259-024-07003-2
Amir Karimzadeh, Kimberley Hansen, Ergela Hasa, Bernhard Haller, Matthias M. Heck, Robert Tauber, Calogero D`Alessandria, Wolfgang A. Weber, Matthias Eiber, Isabel Rauscher
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Abstract

Purpose

This retrospective analysis evaluates baseline 18F-flotufolastat positron emission tomography (PET) parameters as prognostic parameters for treatment response and outcome in patients with metastatic castration-resistant prostate cancer (mCRPC) undergoing treatment with [177Lu]Lu-PSMA-I&T.

Methods

A total of 188 mCRPC patients with baseline 18F-flotufolastat PET scans were included. Tumor lesions were semiautomatically delineated, with imaging parameters including volume-based and standardized uptake value (SUV)-based metrics. Outcome measures included prostate-specific antigen (PSA) response, PSA-progression-free survival (PSA-PFS), and overall survival (OS). Univariate and multivariate regression analyses assessed the impact of baseline imaging and pretherapeutic clinical parameters on outcome. Event time distributions were estimated with the Kaplan-Meier method, and groups were compared with log-rank tests.

Results

Significant prognostic parameters for PSA response and PSA-PFS included log-transformed whole-body SUVmax (odds ratio (OR), 3.26, 95% confidence interval (CI), 2.01–5.55 and hazard ratio (HR), 0.51, 95% CI, 0.4–0.66; both p < 0.001) and prior chemotherapy (OR 0.3, 95% CI, 0.12–0.72 and HR 1.64, 95% CI, 1.07–2.58; p = 0.008 and p = 0.028, respectively). For OS, significant prognosticators were the following log-transformed parameters: number of lesions (HR 1.38, 95% CI, 1.24–1.53; p < 0.001), TTV (HR 1.27, 95% CI, 1.18–1.37; p < 0.001), and ITLV (HR 1.24, 95% CI, 1.16–1.33; p < 0.001), with log-transformed TTV (HR 1.15, 95% CI, 1.04–1.27; p = 0.008) remaining significant in multivariate analysis.

Conclusion

At baseline, SUV-based 18F-flotufolastat PET metrics (e.g., whole-body SUVmax) serve as significant positive prognosticators for short-term outcomes (PSA response and PSA-PFS). In contrast, volume-based metrics (e.g., TTV) are significant negative prognosticators for long-term outcome (OS), in mCRPC patients treated with [177Lu]Lu-PSMA-I&T.

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用于评估转移性去势抵抗性前列腺癌177lu标记psma靶向放射治疗结果的预后18F-flotufolastat PET参数
目的:本回顾性分析评估基线18F-flotufolastat正电子发射断层扫描(PET)参数作为转移性去势抵抗性前列腺癌(mCRPC)患者接受治疗反应和预后的预后参数[177Lu]Lu-PSMA-I&;T。方法188例mCRPC患者进行基线18f - flofolastat PET扫描。采用基于体积和标准化摄取值(SUV)的成像参数对肿瘤病变进行半自动圈定。结果测量包括前列腺特异性抗原(PSA)应答、PSA无进展生存期(PSA- pfs)和总生存期(OS)。单因素和多因素回归分析评估了基线成像和治疗前临床参数对结果的影响。事件时间分布用Kaplan-Meier法估计,组间比较采用log-rank检验。结果PSA反应和PSA- pfs的重要预后参数包括对数转换的全身SUVmax(优势比(OR), 3.26, 95%可信区间(CI), 2.01-5.55,风险比(HR), 0.51, 95% CI, 0.4-0.66;p < 0.001)和既往化疗(OR 0.3, 95% CI, 0.12-0.72, HR 1.64, 95% CI, 1.07-2.58;P = 0.008和P = 0.028)。对于OS,以下对数转换参数是重要的预后指标:病变数量(HR 1.38, 95% CI, 1.24-1.53;p < 0.001), TTV (HR 1.27, 95% CI 1.18-1.37;p & lt; 0.001)和ITLV (HR 1.24, 95% CI, 1.16 - -1.33;p < 0.001),对数变换的TTV (HR 1.15, 95% CI, 1.04-1.27;P = 0.008),在多变量分析中保持显著性。在基线时,基于suv的18F-flotufolastat PET指标(例如,全身SUVmax)可作为短期预后(PSA反应和PSA- pfs)的显著阳性预测指标。相比之下,基于体积的指标(如TTV)是mCRPC患者长期预后(OS)的重要负面预测因素[177Lu]。
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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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