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基于F-PSMA-1007 PET/CT的体积参数对前列腺癌转移的预测价值。

Predictive value of volumetric parameters based on F-PSMA-1007 PET/CT for prostate cancer metastasis.

作者信息

Li Yanmei, Chen Jian, Wang Xiaojuan, Yang Pengfei, Yang Jiqin, Zhao Qian, Li Juan

机构信息

Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.

College of Clinical Medicine, Ningxia Medical University, Yinchuan, China.

出版信息

Front Oncol. 2024 Feb 26;14:1335205. doi: 10.3389/fonc.2024.1335205. eCollection 2024.

DOI:10.3389/fonc.2024.1335205
PMID:38469242
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10925687/
Abstract

PURPOSE OF THE REPORT

To explore the value of F-labeled prostate-specific membrane antigen (PSMA-1007) positron emission tomography (PET)/computed tomography (CT), the maximum standardized uptake value (SUVmax) of the primary tumor, prostate PSMA-tumor volume (PSMA-TVp), and prostate total lesion PSMA (TL-PSMAp) for predicting prostate cancer (PCa) metastasis and follow-up evaluation in primary PCa lesions.

MATERIALS AND METHODS

F-PSMA-1007 PET/CT data of 110 consecutive newly diagnosed PCa patients were retrospectively analyzed. Patients were divided into non-metastatic, oligometastatic, and extensive metastatic groups. The predictive power was assessed using the receiver operating characteristic curve. Multi-group one-way analysis of variance and tests were used to compare the groups. Patients were monitored post-therapy to evaluate treatment effectiveness.

RESULTS

Among the 110 patients, 66.4% (73) had metastasis (29 oligometastatic, 44 extensive metastasis). AUCs for Gleason score (GS), total prostate-specific antigen(TPSA), SUVmax, TL-PSMAp, and PSMA-TVp were 0.851, 0.916, 0.834, 0.938, and 0.923, respectively. GS, TPSA, SUVmax, TL-PSMAp, and PSMA-TVp were significantly different among the groups. In the tests, differences in GS, TPSA, SUVmax, TL-PSMAp, and PSMA-TVp between the non-metastatic and oligometastatic groups and non-metastatic and extensive metastatic groups were significant (P<0.010). Differences in TL-PSMAp and PSMA-TVp between oligometastatic and extensive metastatic groups were significant (P=0.039 and 0.015, respectively), while those among GS, TPSA, and SUVmax were not. TL-PSMAp and PSMA-TVp distinguished between oligometastatic and extensive metastases, but GS, TPSA, and SUVmax did not. In individuals with oligometastasis, the implementation of active treatment for both primary and metastatic lesions may result in a more favorable prognosis.

CONCLUSIONS

F-PSMA-1007 PET/CT volumetric parameters PSMA-TVp and TL-PSMAp can predict PCa oligometastasis.

摘要

报告目的

探讨¹⁸F标记的前列腺特异性膜抗原(PSMA - 1007)正电子发射断层扫描(PET)/计算机断层扫描(CT)、原发肿瘤的最大标准化摄取值(SUVmax)、前列腺PSMA肿瘤体积(PSMA - TVp)以及前列腺总病变PSMA(TL - PSMAp)在预测前列腺癌(PCa)转移及对原发性PCa病变进行随访评估中的价值。

材料与方法

回顾性分析110例连续新诊断的PCa患者的¹⁸F - PSMA - 1007 PET/CT数据。患者分为非转移组、寡转移组和广泛转移组。使用受试者工作特征曲线评估预测能力。采用多组单因素方差分析和检验对各组进行比较。对患者进行治疗后监测以评估治疗效果。

结果

110例患者中,66.4%(73例)发生转移(29例寡转移,44例广泛转移)。Gleason评分(GS)、总前列腺特异性抗原(TPSA)、SUVmax、TL - PSMAp和PSMA - TVp的曲线下面积(AUC)分别为0.851、0.916、0.834、0.938和0.923。各组间GS、TPSA、SUVmax、TL - PSMAp和PSMA - TVp存在显著差异。在检验中,非转移组与寡转移组以及非转移组与广泛转移组之间的GS、TPSA、SUVmax、TL - PSMAp和PSMA - TVp差异显著(P < 0.010)。寡转移组与广泛转移组之间的TL - PSMAp和PSMA - TVp差异显著(分别为P = 0.039和0.015),而GS、TPSA和SUVmax之间差异不显著。TL - PSMAp和PSMA - TVp可区分寡转移和广泛转移,但GS、TPSA和SUVmax不能。在寡转移个体中,对原发灶和转移灶均实施积极治疗可能会带来更有利的预后。

结论

¹⁸F - PSMA - 1007 PET/CT体积参数PSMA - TVp和TL - PSMAp可预测PCa寡转移。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/786507e2c5b1/fonc-14-1335205-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/1f6e60e1defb/fonc-14-1335205-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/674d1f977611/fonc-14-1335205-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/3a03b8c2afe4/fonc-14-1335205-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/786507e2c5b1/fonc-14-1335205-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/1f6e60e1defb/fonc-14-1335205-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/674d1f977611/fonc-14-1335205-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/3a03b8c2afe4/fonc-14-1335205-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b082/10925687/786507e2c5b1/fonc-14-1335205-g004.jpg

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