亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Comparison of 68Ga‐PSMA PET/CT and mp‐MRI in regard to local staging for prostate cancer with histopathological results: A retrospective study

医学 前列腺切除术 前列腺癌 前列腺 多参数磁共振成像 放射科 癌症 活检 磁共振成像 淋巴结 核医学 分级(工程) 泌尿科 病理 内科学 土木工程 工程类
作者
Taha Uçar,Nesrin Gündüz,Emre Demirci,Meftun Çulpan,Humeyra Gunel,Gözde Kır,Gökhan Atış,Asıf Yildirim
出处
期刊:The Prostate [Wiley]
卷期号:82 (15): 1462-1468 被引量:14
标识
DOI:10.1002/pros.24420
摘要

Abstract Background Imaging modalities are used to diagnose and clinical grading of clinically significant prostate cancer. In this study, 68Ga‐PSMA PET/CT (PSMA) and multiparametric prostate MRI (mp‐MRI) were compared in regard to locating intraprostatic tumor and locoregional staging. Methods After ethics committee approval, a total of 49 patients with prostate cancer who had mp‐MRI and PSMA before radical prostatectomy were included. Preoperative and postoperative PSA, transrectal ultrasound‐guided prostate biopsy (TRUS‐Bx) ISUP grade, radical prostatectomy ISUP grade, body mass index (BMI), TRUS prostate volume, mp‐MRI tumor mapping, PSMAtumor mapping, pathologic tumor mapping, extraprostatic extension (EPE), seminal vesicle invasion (SVI), lymph node invasion (LNI), and bladder neck invasion (BNI)were retrospectively evaluated. Index tumor was located by uroradiologist, nuclear medicine specialist, and uropathologist on a 12‐sector prostate pathology map and compared with each other in terms of accuracy and locoregional clinical staging. Results Mean age of the patients was 66.18 ± 6.67 years and the mean of preoperative PSA results was 21.11 ± 32.56 ng/ml. Nearly half of the patients' (44.9%) pathology was reported as ISUP grade 4 and 5% and 18.4% of patients were surgical margin positive. According to the pathological findings, 362 out of 588 sectors were tumor‐positive, 174 out of 362 sectors were tumor‐positive in mp‐MRI, and 175 out of 362 sectors were tumor‐positive in PSMA. Both PSMA and mp‐MRI were comparable ( p = 0.823) and accurate to detect the location of the intraprostatic index tumor (AUC = 0.66 vs. 0.69 respectively, p = 0.82). The sensitivity and the specificity of the PSMA and mp‐MRI for localizing intraprostatic index tumors were 42.5% versus 49.5% and 90.7% versus 88.6% respectively. mp‐MRI was more accurate than PSMA in terms of EPE (AUC = 0.8 vs. AUC = 0.57 respectively, p = 0.027) and both methods were comparable in terms of SVI (AUC = 0.75 vs. AUC = 0.75, p = 0.886) and BNI (AUC = 0.51 vs. AUC = 0.59, p = 0.597). PSMA and mp‐MRI were comparable in terms of LNI (AUC = 0.76 vs. AUC = 0.64, p = 0.39). Conclusion mp‐MRI should be considered for its high accuracy in the diagnosis of EPE, especially before decision‐making for nerve‐sparing surgery in high‐risk patients. Both imaging modalities were accurate for localizing intraprostatic index tumor. PSMA is accurate for detecting LNI.

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
遥知马完成签到,获得积分10
刚刚
4114发布了新的文献求助10
2秒前
5秒前
打打应助matchaaaa采纳,获得30
5秒前
xiaotao完成签到,获得积分10
11秒前
15秒前
35秒前
46秒前
48秒前
zqq完成签到,获得积分0
1分钟前
1分钟前
1分钟前
耍酷的海秋完成签到,获得积分10
1分钟前
matchaaaa发布了新的文献求助30
1分钟前
大个应助孙漪采纳,获得10
1分钟前
1分钟前
1分钟前
Ricardo完成签到 ,获得积分10
1分钟前
CodeCraft应助anru采纳,获得30
1分钟前
1分钟前
FMHChan完成签到,获得积分10
1分钟前
tiptip完成签到,获得积分10
1分钟前
Verity应助科研通管家采纳,获得10
1分钟前
1分钟前
熬夜波比应助科研通管家采纳,获得10
1分钟前
SciGPT应助可靠的寒风采纳,获得10
1分钟前
1分钟前
热情依白应助雁归有时采纳,获得30
1分钟前
2分钟前
2分钟前
圈地自萌X发布了新的文献求助10
2分钟前
2分钟前
zjb完成签到 ,获得积分10
2分钟前
机智的夜云完成签到,获得积分10
2分钟前
whoops完成签到 ,获得积分10
2分钟前
2分钟前
Lucas应助辛勤的夏云采纳,获得10
2分钟前
anru发布了新的文献求助30
2分钟前
仰勒完成签到 ,获得积分10
2分钟前
科研通AI6应助yexu采纳,获得10
3分钟前
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
2025-2031全球及中国金刚石触媒粉行业研究及十五五规划分析报告 9000
Encyclopedia of the Human Brain Second Edition 8000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Superabsorbent Polymers 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5681434
求助须知:如何正确求助?哪些是违规求助? 5007661
关于积分的说明 15175533
捐赠科研通 4840963
什么是DOI,文献DOI怎么找? 2594693
邀请新用户注册赠送积分活动 1547742
关于科研通互助平台的介绍 1505752