Dual FDG/PSMA PET imaging to predict lesion-based progression of mCRPC during PSMA-RLT

医学 标准摄取值 前列腺癌 核医学 正电子发射断层摄影术 接收机工作特性 曲线下面积 放射性配体 曼惠特尼U检验 尤登J统计 内科学 肿瘤科 癌症 受体
作者
Florian Rosar,Caroline Burgard,Scott David,Robert J. Marlowe,Mark Bartholomä,Stephan Maus,Sven Petto,Fadi Khreish,Andrea Schaefer-Schuler,Samer Ezziddin
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:14 (1) 被引量:5
标识
DOI:10.1038/s41598-024-61961-z
摘要

Abstract Candidates for prostate-specific membrane antigen (PSMA)-targeted radioligand therapy (RLT) of metastatic castration-resistant prostate cancer (mCRPC) frequently have “mismatch” lesions with pronounced 18-fluorodeoxyglucose ([ 18 F]FDG) but attenuated PSMA ligand uptake on positron emission tomography (PET). However, no quantitative criteria yet exist to identify mismatch lesions and predict their response to RLT. To define such criteria, we retrospectively analyzed 267 randomly-selected glucometabolic mCRPC metastases from 22 patients. On baseline PET, we determined [ 18 F]FDG and [ 68 Ga]Ga-PSMA-11 maximum standardized uptake value (SUV max ), and calculated the [ 18 F]FDG SUV max /[ 68 Ga]Ga-PSMA-11 SUV max quotient (FPQ). From follow-up [ 18 F]FDG PET after two lutetium-177-PSMA-617 RLT cycles, we evaluated the treatment response and categorized the lesions into three subgroups (partial remission, stable disease, progression) based on change in [ 18 F]FDG SUV max . Lastly, we compared the baseline PET variables in progressing versus non-progressing lesions. Variables differing significantly, and a score incorporating them, were assessed via receiver operator characteristic (ROC) curve analysis, regarding ability to predict lesional progression, with area under the curve (AUC) as metric. Cut-offs with optimal sensitivity and specificity were determined using the maximum value of Youden's index. Fifty-one of 267 lesions (19.1%) progressed, 102/267 (38.2%) manifested stable disease, and 114/267 (42.7%) partially responded after two RLT cycles. At baseline, median [ 68 Ga]Ga-PSMA-11 SUV max was significantly lower ( p < 0.001), median FPQ significantly higher ( p < 0.001), and median [ 18 F]FDG SUV max similar in progressing versus non-progressing lesions. [ 68 Ga]Ga-PSMA-11 SUV max and FPQ showed predictive power regarding progression (AUCs: 0.89, 0.90). An introduced clinical score combining both further improved predictive performance (AUC: 0.94). Optimal cut-offs to foretell progression were: [ 68 Ga]Ga-PSMA-11 SUV max < 11.09 (88.2% sensitivity, 81.9% specificity), FPQ ≥ 0.92 (90.2% sensitivity, 78.7% specificity), clinical score ≥ 6/9 points (88.2% sensitivity, 87.5% specificity). At baseline, a low [ 68 Ga]Ga-PSMA-11 SUV max and a high FPQ predict early lesional progression under RLT; [ 18 F]FDG SUV max does not. A score combining [ 68 Ga]Ga-PSMA-11 SUV max and FPQ predicts early lesional progression even more effectively and might therefore be useful to quantitatively identify mismatch lesions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
打打应助wyc采纳,获得10
1秒前
zmq发布了新的文献求助10
2秒前
AAA卡车司机完成签到,获得积分20
2秒前
3秒前
酷波er应助HEROER采纳,获得10
4秒前
5秒前
喻语儿发布了新的文献求助10
5秒前
龟蒙真人完成签到,获得积分10
5秒前
daxueshen发布了新的文献求助10
6秒前
7秒前
斯文败类应助lt1014采纳,获得30
7秒前
美满元风发布了新的文献求助10
7秒前
期刊发布了新的文献求助10
8秒前
9秒前
9秒前
10秒前
鼹鼠完成签到 ,获得积分10
10秒前
Copyright应助优秀的强炫采纳,获得10
11秒前
芝芝纸纸完成签到 ,获得积分10
12秒前
MP完成签到,获得积分0
13秒前
Ai_niyou发布了新的文献求助10
14秒前
wyc发布了新的文献求助10
14秒前
大熊猫发布了新的文献求助10
15秒前
16秒前
香蕉觅云应助减简采纳,获得10
16秒前
香蕉觅云应助减简采纳,获得10
16秒前
MooN完成签到,获得积分10
17秒前
jiangnan应助VDC采纳,获得10
18秒前
18秒前
喻语儿完成签到,获得积分10
19秒前
科研通AI6.4应助13988548568采纳,获得10
20秒前
科研通AI6.4应助爱吃糖采纳,获得10
20秒前
21秒前
22秒前
大个应助科研通管家采纳,获得10
22秒前
酷波er应助科研通管家采纳,获得10
22秒前
大模型应助科研通管家采纳,获得10
23秒前
Jasper应助科研通管家采纳,获得10
23秒前
领导范儿应助科研通管家采纳,获得10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场现状调查及投资机会研判报告 1000
2026年中国辛酸癸酸聚乙二醇甘油酯行业市场规模及竞争格局分析报告 1000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7315906
求助须知:如何正确求助?哪些是违规求助? 8931922
关于积分的说明 18933756
捐赠科研通 6975917
什么是DOI,文献DOI怎么找? 3213957
关于科研通互助平台的介绍 2381933
邀请新用户注册赠送积分活动 2192582