Utility of PSMA-PET derived volumetric parameters in initial risk stratification and prediction of prostate cancer metastasis - a head-to-head comparison of the radiotracers 18F-PSMA-1007 and 68Ga-PSMA-11.

IF 1.3 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Nuclear Medicine Communications Pub Date : 2024-06-27 DOI:10.1097/MNM.0000000000001874
Kunal Ramesh Chandekar, Swayamjeet Satapathy, Harmandeep Singh, Rajender Kumar, Santosh Kumar, Nandita Kakkar, Bhagwant Rai Mittal, Shrawan Kumar Singh
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Abstract

Objective: This study aimed to explore and compare the utility of baseline 18F-PSMA-1007 and 68Ga-PSMA-11 PET/computed tomography (CT) derived volumetric parameters in initial risk stratification and prediction of prostate cancer (PCa) metastasis.

Methods: Forty treatment-naïve, biopsy-proven intermediate-/high-risk PCa patients were prospectively recruited. Each patient underwent PET/CT with 68Ga-PSMA-11 and 18F-PSMA-1007 (within 2 weeks). The maximum and mean standardized uptake values (SUVmax and SUVmean) of primary tumor, prostate PSMA-tumor volume (PSMA-TVp), and prostate total lesion PSMA (TL-PSMAp) were measured.

Results: PSMA-TVp and TL-PSMAp (with both radiotracers) mostly exhibited moderate-to-strong correlation with Gleason score, serum prostate-specific antigen level and clinical tumor stage (Spearman ρ = 0.361-0.783, P-values ≤0.022). Primary tumor SUVmax values were similar across initial risk categories. PSMA-TVp and TL-PSMAp, however, were significantly higher in high-risk PCa compared to intermediate-risk PCa (P-values ≤0.001). Receiver operating characteristic (ROC) curve analysis revealed that F-PSMA-TVp, Ga-PSMA-TVp, F-TL-PSMAp, and Ga-TL-PSMAp (optimal cutoff values of 20.9, 23.4, 142.5, and 144.8, respectively) could effectively differentiate high-risk from intermediate-risk PCa [area under the ROC curve (AUCs) 0.859-0.898, P-values <0.001] with high sensitivity (~68.8-75%) and excellent specificity (100%). PSMA-TVp and TL-PSMAp (with both radiotracers) could predict presence of regional and extraregional nodal metastasis (AUCs 0.703-0.801, P-values ≤0.03) with moderate sensitivity (~47.8-70.6%) and excellent specificity (~82.6-94.1%).

Conclusion: Our results suggest that baseline PSMA-PET primary tumor volumetric parameters provide a noninvasive, objective, and accurate index for initial risk stratification and can predict presence of regional and extraregional nodal metastasis in PCa patients. Larger studies are warranted to evaluate their incremental role over conventional parameters.

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PSMA-PET 导出的容积参数在初始风险分层和前列腺癌转移预测中的实用性--18F-PSMA-1007 和 68Ga-PSMA-11 放射性同位素的正面比较。
研究目的本研究旨在探索和比较基线18F-PSMA-1007和68Ga-PSMA-11 PET/计算机断层扫描(CT)得出的体积参数在初始风险分层和预测前列腺癌(PCa)转移中的实用性:前瞻性地招募了40名未经治疗、活检证实的中/高危PCa患者。每位患者都接受了 68Ga-PSMA-11 和 18F-PSMA-1007 PET/CT 检查(2 周内)。测量了原发肿瘤、前列腺 PSMA-肿瘤体积(PSMA-TVp)和前列腺总病灶 PSMA(TL-PSMAp)的最大和平均标准化摄取值(SUVmax 和 SUVmean):PSMA-TVp和TL-PSMAp(两种放射性核素)大多与格里森评分、血清前列腺特异性抗原水平和临床肿瘤分期呈中强相关(Spearman ρ = 0.361-0.783,P值≤0.022)。不同初始风险类别的原发肿瘤 SUVmax 值相似。但与中危PCa相比,高危PCa的PSMA-TVp和TL-PSMAp明显更高(P值≤0.001)。接收操作特征(ROC)曲线分析表明,F-PSMA-TVp、Ga-PSMA-TVp、F-TL-PSMAp和Ga-TL-PSMAp(最佳临界值分别为20.9、23.4、142.5和144.8)能有效区分高危和中危PCa[ROC曲线下面积(AUC)为0.859-0.898,P值 结论:我们的研究结果表明,基线PSMA-TVp和Ga-TL-PSMAp能有效区分高危和中危PCa:我们的研究结果表明,基线 PSMA-PET 原发肿瘤容积参数为初始风险分层提供了一个无创、客观、准确的指标,并能预测 PCa 患者是否存在区域和区域外结节转移。有必要进行更大规模的研究,以评估其相对于传统参数的增量作用。
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来源期刊
CiteScore
2.20
自引率
6.70%
发文量
212
审稿时长
3-8 weeks
期刊介绍: Nuclear Medicine Communications, the official journal of the British Nuclear Medicine Society, is a rapid communications journal covering nuclear medicine and molecular imaging with radionuclides, and the basic supporting sciences. As well as clinical research and commentary, manuscripts describing research on preclinical and basic sciences (radiochemistry, radiopharmacy, radiobiology, radiopharmacology, medical physics, computing and engineering, and technical and nursing professions involved in delivering nuclear medicine services) are welcomed, as the journal is intended to be of interest internationally to all members of the many medical and non-medical disciplines involved in nuclear medicine. In addition to papers reporting original studies, frankly written editorials and topical reviews are a regular feature of the journal.
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