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 [Springer Nature]
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.
最长约 10秒,即可获得该文献文件

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
HC完成签到 ,获得积分10
2秒前
姚姚的赵赵完成签到,获得积分10
2秒前
JamesPei应助大豪子采纳,获得30
3秒前
jy发布了新的文献求助10
3秒前
3秒前
陆靖易发布了新的文献求助10
3秒前
LQW完成签到,获得积分20
4秒前
5秒前
plant完成签到,获得积分10
5秒前
lyt完成签到,获得积分10
5秒前
6秒前
7秒前
敏感网络完成签到,获得积分20
8秒前
kh453发布了新的文献求助10
8秒前
8秒前
子爵木完成签到 ,获得积分10
8秒前
HC发布了新的文献求助30
9秒前
无限鞅发布了新的文献求助10
9秒前
SherlockLiu完成签到,获得积分20
9秒前
10秒前
吴岳发布了新的文献求助10
11秒前
陆靖易完成签到,获得积分10
11秒前
13秒前
Bella完成签到 ,获得积分10
13秒前
yhl发布了新的文献求助10
14秒前
15秒前
震动的乐天完成签到,获得积分10
16秒前
17秒前
18秒前
Hello应助xuanxuan采纳,获得10
19秒前
村长热爱美丽完成签到 ,获得积分10
19秒前
一衣完成签到,获得积分20
19秒前
19秒前
21秒前
明理世倌发布了新的文献求助10
21秒前
今后应助niu1采纳,获得10
22秒前
KONG发布了新的文献求助10
22秒前
爆米花应助成梦采纳,获得10
22秒前
yhl完成签到,获得积分20
23秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527928
求助须知:如何正确求助?哪些是违规求助? 3108040
关于积分的说明 9287614
捐赠科研通 2805836
什么是DOI,文献DOI怎么找? 1540070
邀请新用户注册赠送积分活动 716904
科研通“疑难数据库(出版商)”最低求助积分说明 709808