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F-PSMA-1007 PET/CT在寡转移前列腺癌转移状态及治疗评估中的性能

The F-PSMA-1007 PET/CT performance on metastasis status and therapy assessment in oligo-metastasis prostate cancer.

作者信息

Wang Zhuonan, Zheng Anqi, Li Yunxuan, Gao Jungang, Dong Weixuan, Li Yan, Duan Xiaoyi

机构信息

PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

出版信息

Front Oncol. 2022 Aug 26;12:935979. doi: 10.3389/fonc.2022.935979. eCollection 2022.

DOI:10.3389/fonc.2022.935979
PMID:36091136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9458929/
Abstract

OBJECTIVE

The prostate-specific membrane antigen (PSMA) PET/CT is potentially identifying patients with oligo-metastasis who would be deemed to only have localized disease in the traditional approaches. However, the best selected oligo-metastasis prostate cancer (PCa) patients most likely to benefit from system androgen deprivation therapy (ADT) are still unknown. The aim of this study was to explore the potential F-PSMA-1007 PET/CT parameters and clinicopathologic characteristics for oligo-metastasis PCa discrimination and follow-up evaluation.

MATERIALS AND METHODS

A total of 180 retrospective patients with different metastasis burdens (PCa of none-metastases, oligo-metastases, and poly-metastases), different metastasis status (untreated and recurrent oligo-metastases), and follow-up ADT were included respectively. A one-way analysis of variance was used to evaluate whether PET/CT parameters and clinicopathologic characteristics were different and univariate/multivariate logistic regression models were applied to assess independent predictors in the metastasis burdens group (89/180). Selected predictors were further compared between different metastasis statuses to test the diagnostic accuracy (69/180). The predictor efficiency was evaluated by the ROC and the cut-off value was used to test the ADT response-to-treatment with a longitudinal cohort (22/180) from untreated baseline to 3-15 months.

RESULTS

The significant group differences were observed on SUVmax (P = 0.012), International Society of Urologic Pathologists (ISUP, P<0.001) and Gleason Score (P<0.001). Poly-Metastases patients had higher SUVmax, ISUP and Gleason Score compared to Non-Metastases and Oligo-Metastases patients, respectively (P<0.05, all), and no difference between Non-Metastases and Oligo-Metastases. The SUVmax, ISUP and Gleason Score were independent predictors for metastasis burdens discrimination. The untreated and recurrent oligo-metastases lesions SUVmax were also different (P = 0.036). The AUC of ROC for oligo-metastasis prediction was 0.658 (P = 0.039) when the primary prostatic carcinoma focus SUVmax was higher than 28.22, ADT response-to-treatment patients (5/5 in 22) were all progress in a follow-up test.

CONCLUSION

The SUVmax can discriminate PCa metastasis degree and oligo-metastasis status. The ADT-treated oligo-metastasis patient may still have disease progression when the primary prostatic carcinoma focus SUVmax is greater than 28.22.

摘要

目的

前列腺特异性膜抗原(PSMA)PET/CT有可能识别出在传统方法中被认为仅患有局限性疾病的寡转移患者。然而,最有可能从系统性雄激素剥夺疗法(ADT)中获益的最佳选择的寡转移前列腺癌(PCa)患者仍然未知。本研究的目的是探索潜在的F-PSMA-1007 PET/CT参数以及临床病理特征,用于寡转移PCa的鉴别和随访评估。

材料与方法

分别纳入180例具有不同转移负荷(无转移、寡转移和多转移的PCa)、不同转移状态(未治疗和复发性寡转移)以及接受随访ADT的回顾性患者。采用单因素方差分析来评估PET/CT参数和临床病理特征是否存在差异,并应用单变量/多变量逻辑回归模型来评估转移负荷组(89/180)中的独立预测因素。在不同转移状态之间进一步比较选定的预测因素,以测试诊断准确性(69/180)。通过ROC评估预测因素的效率,并使用临界值来测试来自未治疗基线至3 - 15个月的纵向队列(22/180)中ADT的治疗反应。

结果

在SUVmax(P = 0.012)、国际泌尿病理学会(ISUP,P<0.001)和Gleason评分(P<0.001)方面观察到显著的组间差异。与无转移和寡转移患者相比,多转移患者的SUVmax、ISUP和Gleason评分更高(均P<0.05),无转移和寡转移患者之间无差异。SUVmax、ISUP和Gleason评分是转移负荷鉴别的独立预测因素。未治疗和复发性寡转移病灶的SUVmax也存在差异(P = 0.036)。当原发性前列腺癌灶SUVmax高于28.22时,寡转移预测的ROC曲线下面积为0.658(P = 0.039),ADT治疗反应患者(22例中的5/5)在随访测试中均进展。

结论

SUVmax可区分PCa转移程度和寡转移状态。当原发性前列腺癌灶SUVmax大于28.22时,接受ADT治疗的寡转移患者仍可能出现疾病进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/7531588cef07/fonc-12-935979-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/ca9c396c49ca/fonc-12-935979-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/c6413be7a554/fonc-12-935979-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/4aeec02653ca/fonc-12-935979-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/7531588cef07/fonc-12-935979-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/ca9c396c49ca/fonc-12-935979-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/c6413be7a554/fonc-12-935979-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/4aeec02653ca/fonc-12-935979-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2701/9458929/7531588cef07/fonc-12-935979-g004.jpg

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