• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于磁共振成像的前列腺特异性抗原密度用于预测初次活检为低风险前列腺癌患者的 Gleason 评分升级情况

Magnetic Resonance Imaging-Based Prostate-Specific Antigen Density for Prediction of Gleason Score Upgrade in Patients With Low-Risk Prostate Cancer on Initial Biopsy.

作者信息

Sim Ki Choon, Sung Deuk Jae, Kang Kun Woo, Yang Kyung Sook, Han Na Yeon, Park Beom Jin, Kim Min Ju, Cho Sung Bum

机构信息

From the *Departments of Radiology, Anam Hospital, and †Department of Biostatistics, College of Medicine, Korea University, Seoul, Korea.

出版信息

J Comput Assist Tomogr. 2017 Sep/Oct;41(5):731-736. doi: 10.1097/RCT.0000000000000579.

DOI:10.1097/RCT.0000000000000579
PMID:28914751
Abstract

OBJECTIVE

The aim of this study was to assess the utility of prostate-specific antigen density (PSAD) calculated using magnetic resonance imaging for predicting Gleason score (GS) upgrade in patients with low-risk prostate cancer on biopsy.

METHODS

Seventy-three patients were divided into 2 groups according to the concordance between biopsy and prostatectomy GS: group 1 (6/6) and group 2 (6/≥7). Magnetic resonance imaging-based PSAD, prostate volume, prostate-specific antigen (PSA), and age were compared between the 2 groups. Logistic regression and receiver operating characteristic curve analysis were performed.

RESULTS

Gleason score was upgraded in 40 patients. Patients in group 2 had significantly higher PSAD and PSA values and smaller prostate volume than did those in group 1. Prostate-specific antigen density of 0.26 ng/mL per cm or higher, PSA of 7.63 ng/mL or higher, and prostate volume of 25.1 cm or less were related to GS upgrade, with area-under-the-curve values of 0.765, 0.721, and 0.639, respectively.

CONCLUSIONS

Magnetic resonance imaging-based PSAD could help in predicting postoperative GS upgrade in patients with low-risk prostate cancer.

摘要

目的

本研究旨在评估利用磁共振成像计算的前列腺特异性抗原密度(PSAD)对活检时低风险前列腺癌患者 Gleason 评分(GS)升级的预测效用。

方法

根据活检与前列腺切除术后 GS 的一致性,将 73 例患者分为 2 组:第 1 组(6/6)和第 2 组(6/≥7)。比较两组基于磁共振成像的 PSAD、前列腺体积、前列腺特异性抗原(PSA)和年龄。进行逻辑回归和受试者工作特征曲线分析。

结果

40 例患者 Gleason 评分升级。第 2 组患者的 PSAD 和 PSA 值显著高于第 1 组,前列腺体积小于第 1 组。PSAD 为 0.26 ng/mL 每立方厘米或更高、PSA 为 7.63 ng/mL 或更高以及前列腺体积为 25.1 立方厘米或更小与 GS 升级相关,曲线下面积值分别为 0.765、0.721 和 0.639。

结论

基于磁共振成像的 PSAD 有助于预测低风险前列腺癌患者术后 GS 升级。

相似文献

1
Magnetic Resonance Imaging-Based Prostate-Specific Antigen Density for Prediction of Gleason Score Upgrade in Patients With Low-Risk Prostate Cancer on Initial Biopsy.基于磁共振成像的前列腺特异性抗原密度用于预测初次活检为低风险前列腺癌患者的 Gleason 评分升级情况
J Comput Assist Tomogr. 2017 Sep/Oct;41(5):731-736. doi: 10.1097/RCT.0000000000000579.
2
The ability of prostate-specific antigen (PSA) density to predict an upgrade in Gleason score between initial prostate biopsy and prostatectomy diminishes with increasing tumour grade due to reduced PSA secretion per unit tumour volume.前列腺特异性抗原(PSA)密度预测初始前列腺活检和前列腺切除术中 Gleason 评分升级的能力随着肿瘤分级的增加而降低,这是由于单位肿瘤体积的 PSA 分泌减少所致。
BJU Int. 2012 Jul;110(1):36-42. doi: 10.1111/j.1464-410X.2011.10681.x. Epub 2011 Nov 15.
3
Prostate-specific antigen vs prostate-specific antigen density as a predictor of upgrading in men diagnosed with Gleason 6 prostate cancer by contemporary multicore prostate biopsy.基于当代多核心前列腺活检的前列腺特异性抗原与前列腺特异性抗原密度对诊断为 Gleason 6 前列腺癌患者升级的预测作用。
BJU Int. 2012 Dec;110(11 Pt B):E494-9. doi: 10.1111/j.1464-410X.2012.11182.x. Epub 2012 Apr 30.
4
MRI-Based Prostate-Specific Antigen Density Predicts Gleason Score Upgrade in an Active Surveillance Cohort.基于 MRI 的前列腺特异性抗原密度可预测主动监测队列中 Gleason 评分升级。
AJR Am J Roentgenol. 2020 Mar;214(3):574-578. doi: 10.2214/AJR.19.21559. Epub 2020 Jan 8.
5
Diagnostic value of MRI-based PSA density in predicting transperineal sector-guided prostate biopsy outcomes.基于磁共振成像的前列腺特异抗原密度在预测经会阴扇形引导前列腺穿刺活检结果中的诊断价值。
Int Urol Nephrol. 2017 Aug;49(8):1335-1342. doi: 10.1007/s11255-017-1609-8. Epub 2017 May 5.
6
Diffusion Kurtosis Imaging Helps to Predict Upgrading in Biopsy-Proven Prostate Cancer With a Gleason Score of 6.扩散峰度成像有助于预测活检证实的 Gleason 评分为 6 分的前列腺癌的升级情况。
AJR Am J Roentgenol. 2017 Nov;209(5):1081-1087. doi: 10.2214/AJR.16.17781. Epub 2017 Aug 23.
7
Evaluation of magnetic resonance imaging-based prostate-specific antigen density of the prostate in the diagnosis of prostate cancer.基于磁共振成像的前列腺特异性抗原密度在前列腺癌诊断中的评估
Int J Urol. 2007 Apr;14(4):305-10. doi: 10.1111/j.1442-2042.2007.01686.x.
8
Combined Analysis of Biparametric MRI and Prostate-Specific Antigen Density: Role in the Prebiopsy Diagnosis of Gleason Score 7 or Greater Prostate Cancer.双参数 MRI 与前列腺特异性抗原密度联合分析在前列腺癌 Gleason 评分 7 及以上的活检诊断中的作用。
AJR Am J Roentgenol. 2018 Sep;211(3):W166-W172. doi: 10.2214/AJR.17.19253. Epub 2018 Jul 17.
9
Prediction of extraprostatic cancer by prostate specific antigen density, endorectal MRI, and biopsy Gleason score in clinically localized prostate cancer.通过前列腺特异性抗原密度、直肠内磁共振成像及活检Gleason评分预测临床局限性前列腺癌的前列腺外癌
Prostate. 2003 Jun 15;56(1):23-9. doi: 10.1002/pros.10239.
10
Utility of PSA Density in Predicting Upgraded Gleason Score in Men on Active Surveillance With Negative MRI.PSA 密度在 MRI 阴性的主动监测男性中预测升级的 Gleason 评分的效用。
Urology. 2021 Sep;155:96-100. doi: 10.1016/j.urology.2021.05.035. Epub 2021 Jun 1.

引用本文的文献

1
Multiparametric Magnetic Resonance Imaging-based Prostate Specific Antigen Density and PI-RADSv2 score help identify Apical Prostate Cancer.基于多参数磁共振成像的前列腺特异性抗原密度和PI-RADS v2评分有助于识别前列腺尖部癌。
J Cancer. 2023 May 15;14(8):1371-1380. doi: 10.7150/jca.84278. eCollection 2023.
2
Determination of Whether Apex or Non-Apex Prostate Cancer Is the Best Candidate for the Use of Prostate-Specific Antigen Density to Predict Pathological Grade Group Upgrading and Upstaging after Radical Prostatectomy.确定前列腺尖部或非尖部癌是否是使用前列腺特异性抗原密度预测根治性前列腺切除术后病理分级组升级和分期升级的最佳候选者。
J Clin Med. 2023 Feb 19;12(4):1659. doi: 10.3390/jcm12041659.
3
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.
深度学习算法在评估 MRI 前列腺体积方面的表现与放射科医生相似。
Eur Radiol. 2023 Apr;33(4):2519-2528. doi: 10.1007/s00330-022-09239-8. Epub 2022 Nov 12.
4
National implementation of multi-parametric magnetic resonance imaging for prostate cancer detection - recommendations from a UK consensus meeting.国家实施前列腺癌多参数磁共振成像检测 - 来自英国共识会议的建议。
BJU Int. 2018 Jul;122(1):13-25. doi: 10.1111/bju.14361. Epub 2018 Jun 5.