• 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

比较半自动化和手动方法测量磁共振成像前列腺癌体积。

Comparison of semi-automated and manual methods to measure the volume of prostate cancer on magnetic resonance imaging.

机构信息

Pontifical Catholic University of Peru, Engineering Department, Electrical and Electronics Section, Medical Imaging Lab, San Miguel, Lima 32, Peru.

Academic Department of Radiology, Hôpital Pitié-Salpêtrière, AP-HP, UPMC University Paris 06, 75013 Paris, France.

出版信息

Diagn Interv Imaging. 2017 May;98(5):423-428. doi: 10.1016/j.diii.2017.02.004. Epub 2017 Mar 15.

DOI:10.1016/j.diii.2017.02.004
PMID:28330587
Abstract

PURPOSE

The purpose of this study was to determine the accuracy of manual semi-automated and volumetric measurements to assess prostate cancer volume on multiparametric magnetic resonance imaging (MP-MRI) using whole-mount histopathology for validation.

MATERIALS AND METHODS

We evaluated 30 consecutive men (median age, 65.7 years; interquartile range [IQR], 61.5-70.9 years) with a median prostatic specific antigen of 8.5ng/dL (IQR, 5.5-10.5ng/dL), who underwent MP-MRI before radical prostatectomy. Index tumor volume was determined prospectively and independently on the basis of MRI and whole-mount section volumetric assessment using the maximum histologic diameter (MHD) and the histologic volume (HV). The MRI index tumor volume was determined by two independent radiologists using a single measurement of the maximum tumor dimension (MTD), a simplified MR ellipsoid volume (MREV) calculation and a MR region of interest volume (MROV) segmentation displayed by a commercially available OsiriX. MTD was compared to MHD, whereas MREV and MROV were compared to HV.

RESULTS

Thirty index lesions (median HV, 1.514 cm; IQR, 0.05-3.780 cm) were analyzed. The MREV, MROV and HD were significantly correlated with each other (r>0.5). Inter-observer agreement for measurements was good for each method (r>0.780). The MTD was the best predictor of maximum histologic diameter (r=0.980 and 0.791) and had an excellent inter-variability correlation (P<0.0001).

CONCLUSION

Prostate cancer histologic volume can be assessed using MREV or MROV with a good accuracy and low inter-observer variability. MTD has the lowest inter-observer variability and provides best degrees of correlation with MHD. MTD should be used on MRI for selecting and following patients for active surveillance and staging before focal treatment of prostate cancer.

摘要

目的

本研究旨在确定手动半自动和容积测量法在多参数磁共振成像(MP-MRI)上评估前列腺癌体积的准确性,以全组织切片病理为验证标准。

材料与方法

我们评估了 30 例连续男性患者(中位年龄 65.7 岁;四分位间距 [IQR] 61.5-70.9 岁),中位前列腺特异性抗原为 8.5ng/dL(IQR 5.5-10.5ng/dL),这些患者在根治性前列腺切除术前均接受了 MP-MRI 检查。指数肿瘤体积根据 MRI 和全组织切片体积评估,使用最大组织学直径(MHD)和组织学体积(HV)进行前瞻性、独立的评估。两位独立的放射科医生使用肿瘤最大径(MTD)的单次测量、简化的磁共振椭球体体积(MREV)计算和商业可得的 OsiriX 显示的磁共振感兴趣区体积(MROV)分割,对 MRI 指数肿瘤体积进行了评估。将 MTD 与 MHD 进行比较,而 MREV 和 MROV 与 HV 进行比较。

结果

30 个指数病变(中位 HV 为 1.514cm;IQR 为 0.05-3.780cm)进行了分析。MREV、MROV 和 MHD 之间具有显著相关性(r>0.5)。每种方法的观察者间测量一致性均较好(r>0.780)。MTD 是最大组织学直径的最佳预测因子(r=0.980 和 0.791),且具有极好的变异性相关性(P<0.0001)。

结论

MREV 或 MROV 可用于评估前列腺癌的组织学体积,具有良好的准确性和较低的观察者间变异性。MTD 的观察者间变异性最低,与 MHD 的相关性最佳。MTD 应在 MRI 上用于选择和跟踪接受主动监测和局部治疗前前列腺癌分期的患者。

相似文献

1
Comparison of semi-automated and manual methods to measure the volume of prostate cancer on magnetic resonance imaging.比较半自动化和手动方法测量磁共振成像前列腺癌体积。
Diagn Interv Imaging. 2017 May;98(5):423-428. doi: 10.1016/j.diii.2017.02.004. Epub 2017 Mar 15.
2
Correlation of magnetic resonance imaging tumor volume with histopathology.磁共振成像肿瘤体积与组织病理学的相关性。
J Urol. 2012 Oct;188(4):1157-1163. doi: 10.1016/j.juro.2012.06.011. Epub 2012 Aug 15.
3
How good is post-biopsy multiparametric magnetic resonance imaging in detecting and characterising the index lesion of localised prostate cancer?活检后多参数磁共振成像在检测和表征局限性前列腺癌的索引病灶方面效果如何?
Scand J Urol. 2014 Dec;48(6):499-505. doi: 10.3109/21681805.2014.907338. Epub 2014 Apr 22.
4
Multiparametric Magnetic Resonance Imaging (MRI) and MRI-Transrectal Ultrasound Fusion Biopsy for Index Tumor Detection: Correlation with Radical Prostatectomy Specimen.多参数磁共振成像(MRI)和 MRI-经直肠超声融合活检用于检测起始肿瘤:与根治性前列腺切除术标本的相关性。
Eur Urol. 2016 Nov;70(5):846-853. doi: 10.1016/j.eururo.2015.12.052. Epub 2016 Jan 19.
5
Pre-biopsy 3-Tesla MRI and targeted biopsy of the index prostate cancer: correlation with robot-assisted radical prostatectomy.活检前3特斯拉磁共振成像与索引前列腺癌的靶向活检:与机器人辅助根治性前列腺切除术的相关性
BJU Int. 2017 Jan;119(1):82-90. doi: 10.1111/bju.13525. Epub 2016 Jun 3.
6
Determination of Prostate Volume: A Comparison of Contemporary Methods.前列腺体积测定:当代方法比较。
Acad Radiol. 2018 Dec;25(12):1582-1587. doi: 10.1016/j.acra.2018.03.014. Epub 2018 Mar 30.
7
Fully automated prostate segmentation on MRI: comparison with manual segmentation methods and specimen volumes.MRI 上全自动前列腺分割:与手动分割方法和标本体积的比较。
AJR Am J Roentgenol. 2013 Nov;201(5):W720-9. doi: 10.2214/AJR.12.9712.
8
Multiparametric MRI in detection and staging of prostate cancer.多参数磁共振成像在前列腺癌检测与分期中的应用
Dan Med J. 2017 Feb;64(2).
9
Prostate tumor delineation using multiparametric magnetic resonance imaging: Inter-observer variability and pathology validation.使用多参数磁共振成像进行前列腺肿瘤勾画:观察者间变异性及病理验证
Radiother Oncol. 2015 May;115(2):186-90. doi: 10.1016/j.radonc.2015.04.012. Epub 2015 Apr 29.
10
Is the Ellipsoid Formula the New Standard for 3-Tesla MRI Prostate Volume Calculation without Endorectal Coil?椭球体公式是3特斯拉磁共振成像在无直肠内线圈情况下进行前列腺体积计算的新标准吗?
Urol Int. 2017;98(1):49-53. doi: 10.1159/000448593. Epub 2016 Sep 15.

引用本文的文献

1
A machine-learning approach based on 409 treatments to predict optimal number of iodine-125 seeds in low-dose-rate prostate brachytherapy.一种基于409种治疗方法的机器学习方法,用于预测低剂量率前列腺近距离放射治疗中碘-125种子的最佳数量。
J Contemp Brachytherapy. 2021 Oct;13(5):541-548. doi: 10.5114/jcb.2021.109789. Epub 2021 Oct 7.
2
Multiparametric MRI in Active Surveillance of Prostate Cancer: An Overview and a Practical Approach.多参数 MRI 在前列腺癌主动监测中的应用:综述与实用方法。
Korean J Radiol. 2021 Jul;22(7):1087-1099. doi: 10.3348/kjr.2020.1224. Epub 2021 Apr 1.
3
Prostate cancer measurements on serial MRI during active surveillance: it's time to be PRECISE.
主动监测期间前列腺癌的系列磁共振成像测量:是时候做到精确了。
Br J Radiol. 2020 Dec 1;93(1116):20200819. doi: 10.1259/bjr.20200819. Epub 2020 Sep 21.
4
Use of Imaging to Optimise Prostate Cancer Tumour Volume Assessment for Focal Therapy Planning.利用影像学优化前列腺癌肿瘤体积评估,以规划局部治疗。
Curr Urol Rep. 2020 Aug 17;21(10):38. doi: 10.1007/s11934-020-00987-y.
5
MR Imaging-Histology Correlation by Tailored 3D-Printed Slicer in Oncological Assessment.MR 成像-组织学相关性研究通过定制的 3D 打印切片器在肿瘤评估中的应用。
Contrast Media Mol Imaging. 2019 May 29;2019:1071453. doi: 10.1155/2019/1071453. eCollection 2019.
6
MRI findings guiding selection of active surveillance for prostate cancer: a review of emerging evidence.MRI检查结果指导前列腺癌主动监测的选择:新证据综述
Transl Androl Urol. 2018 Sep;7(Suppl 4):S411-S419. doi: 10.21037/tau.2018.03.21.
7
Prostate Cancer Imaging and Biomarkers Guiding Safe Selection of Active Surveillance.前列腺癌成像与生物标志物指导主动监测的安全选择
Front Oncol. 2017 Oct 30;7:256. doi: 10.3389/fonc.2017.00256. eCollection 2017.