• 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

前列腺癌内良性组织的影响:在全组织病理和多参数 MRI 上对稀疏型和致密型前列腺癌进行特征描述。

The impact of benign tissue within cancerous regions in the prostate: Characterizing sparse and dense prostate cancers on whole-mount histopathology and on multiparametric MRI.

机构信息

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, USA; The Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, Berkeley, CA 94720, USA.

Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; Department of Urology, University of California, San Francisco, San Francsico, CA 94143, USA; UCSF Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA 94143, USA.

出版信息

Magn Reson Imaging. 2024 Dec;114:110233. doi: 10.1016/j.mri.2024.110233. Epub 2024 Sep 10.

DOI:10.1016/j.mri.2024.110233
PMID:39260625
Abstract

PURPOSE

To establish the incidence, size, zonal location and Gleason Score(GS)/Gleason Grade Group(GG) of sparse versus dense prostate cancer (PCa) lesions and to identify the imaging characteristics of sparse versus dense cancers on multiparametric MRI (mpMRI).

METHODS

Seventy-six men with untreated PCa were scanned prior to prostatectomy with endorectal-coil 3 T MRI including T2-weighted imaging, diffusion-weighted imaging and dynamic contrast-enhanced MRI. Cancerous regions were outlined and graded on the whole-mount, processed specimens, with tissue compositions estimated. Regions with cancer comprising <50 % and ≥ 50 % of the tissue were considered sparse and dense respectively. Regions of interest (ROI) were manually drawn on T2-weighted MRI. Within each patient, area-weighted ROI averages were calculated for each imaging measure for each tissue type, GS/GG, and sparse/dense composition.

RESULTS

A large number of cancer regions were identified on histopathology (n = 1193: 939 (peripheral zone (PZ)) and 254 (transition zone (TZ))). Thirty-seven percent of these lesions were sparse. Sparse lesions were primarily low-grade with the majority of PZ and 100 % of TZ sparse lesions ≤GS3 + 3/GG1. Dense lesions were significantly larger than sparse lesions in both PZ and TZ, p < 0.0001. On imaging, 246/45 PZ and 109/8 TZ dense/sparse 2D cancerous ROIs were drawn. Sparse GS3 + 3 and sparse ≥GS3 + 4 cancers did not have significantly different MRI intensities to dense GS3 + 3 cancers, while sparse GS3 + 3/GG1 cancers differed from benign, p < 0.05.

CONCLUSION

Histopathologically identified prostate cancer lesions were sparse in 37 % of cases. Sparse cancers were entirely low grade in TZ and predominantly low-grade in PZ and generally small, thus likely posing lower risk for spread and progression than dense lesions. Sparse lesions were not distinguishable from dense lesions on mpMRI, but could be distinguished from benign tissues.

摘要

目的

确定稀疏与密集前列腺癌(PCa)病变的发生率、大小、区域位置和 Gleason 评分(GS)/Gleason 分级组(GG),并确定多参数 MRI(mpMRI)上稀疏与密集癌症的影像学特征。

方法

76 名未经治疗的 PCa 男性在前列腺切除术前接受了直肠内线圈 3T MRI 扫描,包括 T2 加权成像、扩散加权成像和动态对比增强 MRI。在整个标本上勾勒出癌性区域并进行分级,并估计组织成分。癌症占组织<50%和≥50%的区域分别被认为是稀疏和密集。在 T2 加权 MRI 上手动绘制感兴趣区(ROI)。对于每种组织类型、GS/GG 以及稀疏/密集成分,每位患者的 ROI 面积加权平均值均进行了计算。

结果

在组织病理学上确定了大量的癌区(n=1193:939 个(周边区(PZ))和 254 个(移行区(TZ)))。这些病变中有 37%是稀疏的。稀疏病变主要为低级别,大多数 PZ 和 100%的 TZ 稀疏病变≤GS3+3/GG1。与稀疏病变相比,密集病变在 PZ 和 TZ 中均显著更大,p<0.0001。在影像学上,绘制了 45 个 PZ 和 8 个 TZ 的 2D 密集/稀疏癌症 ROI。GS3+3 稀疏和 GS3+3 以上稀疏癌症与密集 GS3+3 癌症的 MRI 强度没有显著差异,而 GS3+3/GG1 稀疏癌症与良性组织有差异,p<0.05。

结论

组织病理学上确定的前列腺癌病变中有 37%是稀疏的。在 TZ 中,稀疏癌完全为低级别,在 PZ 中主要为低级别,且通常较小,因此与密集病变相比,其扩散和进展的风险较低。在 mpMRI 上,稀疏病变与密集病变无法区分,但可与良性组织区分。

相似文献

1
The impact of benign tissue within cancerous regions in the prostate: Characterizing sparse and dense prostate cancers on whole-mount histopathology and on multiparametric MRI.前列腺癌内良性组织的影响:在全组织病理和多参数 MRI 上对稀疏型和致密型前列腺癌进行特征描述。
Magn Reson Imaging. 2024 Dec;114:110233. doi: 10.1016/j.mri.2024.110233. Epub 2024 Sep 10.
2
Characterization and stratification of prostate lesions based on comprehensive multiparametric MRI using detailed whole-mount histopathology as a reference standard.基于详细全器官病理作为参考标准的综合多参数 MRI 对前列腺病变的特征分析和分层。
NMR Biomed. 2017 Dec;30(12). doi: 10.1002/nbm.3796. Epub 2017 Sep 29.
3
Cellular density of low-grade transition zone prostate cancer: A limiting factor to correlate restricted diffusion with tumor aggressiveness.低级别移行区前列腺癌的细胞密度:限制弥散与肿瘤侵袭性相关的一个因素。
Eur J Radiol. 2020 Oct;131:109230. doi: 10.1016/j.ejrad.2020.109230. Epub 2020 Aug 20.
4
Association of prostate zonal volume with location and aggressiveness of clinically significant prostate cancer: A multiparametric MRI study according to PI-RADS version 2.1.前列腺区带体积与临床显著前列腺癌位置和侵袭性的相关性:基于 PI-RADS 版本 2.1 的多参数 MRI 研究。
Eur J Radiol. 2022 May;150:110268. doi: 10.1016/j.ejrad.2022.110268. Epub 2022 Mar 21.
5
Understanding Spatial Correlation Between Multiparametric MRI Performance and Prostate Cancer.理解多参数 MRI 性能与前列腺癌之间的空间相关性。
J Magn Reson Imaging. 2024 Nov;60(5):2184-2195. doi: 10.1002/jmri.29287. Epub 2024 Feb 12.
6
A Single-Arm, Multicenter Validation Study of Prostate Cancer Localization and Aggressiveness With a Quantitative Multiparametric Magnetic Resonance Imaging Approach.一种基于定量多参数磁共振成像的前列腺癌定位和侵袭性的单臂、多中心验证研究。
Invest Radiol. 2019 Jul;54(7):437-447. doi: 10.1097/RLI.0000000000000558.
7
Characteristics of Detected and Missed Prostate Cancer Foci on 3-T Multiparametric MRI Using an Endorectal Coil Correlated With Whole-Mount Thin-Section Histopathology.使用直肠内线圈的3-T多参数MRI检测到的和漏诊的前列腺癌病灶的特征与全层薄切片组织病理学的相关性
AJR Am J Roentgenol. 2015 Jul;205(1):W87-92. doi: 10.2214/AJR.14.13285.
8
Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference.使用多参数磁共振成像检测临床显著性前列腺癌的更新版前列腺影像报告和数据系统(PIRADS v2)推荐意见:以全层病理作为参考标准的批判性评估
Eur Radiol. 2016 Jun;26(6):1606-12. doi: 10.1007/s00330-015-4015-6. Epub 2015 Sep 22.
9
Diagnostic performance of diffusion-weighted imaging for prostate cancer: Peripheral zone versus transition zone.扩散加权成像对前列腺癌的诊断性能:外周带与移行带比较。
PLoS One. 2018 Jun 22;13(6):e0199636. doi: 10.1371/journal.pone.0199636. eCollection 2018.
10
Transition zone prostate cancer: detection and localization with 3-T multiparametric MR imaging.移行区前列腺癌:3T 多参数磁共振成像的检测和定位。
Radiology. 2013 Jan;266(1):207-17. doi: 10.1148/radiol.12120281. Epub 2012 Nov 9.