• 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

基于对称性的前列腺癌检测。

Symmetry based prostate cancer detection.

作者信息

Yang L, Xie Y, Li B, Xie M, Wang X, Zhang J

机构信息

1 College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, Sichuan, China.

出版信息

Br J Radiol. 2015 Jun;88(1050):20150132. doi: 10.1259/bjr.20150132. Epub 2015 Apr 22.

DOI:10.1259/bjr.20150132
PMID:25899893
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4628461/
Abstract

OBJECTIVE

To retrospectively assess the value of left and right half symmetry analysis in prostate T2 weighted images (T2WI) for improving prostate cancer (PCa) screening.

METHODS

T2WI and other data of a total of 66 males were collected; the control group and cancer group had 33 patients each. Thresholding geometric active contours algorithm was used for prostate region segmentation, and the measure of local reflectional symmetry algorithm was applied to extract the longitudinal symmetry axes. After that, cross-correlation coefficients (CCs) of the left and right halves of each prostate were obtained.

RESULTS

Data analysis showed that the mean and variance of the value of the left and right half CCs of prostate T2WI in the cancer group and control group were 0.73 ± 0.05 and 0.82 ± 0.06, respectively. The area under the receiver operating characteristic curve was 0.87, and the specificity and the sensitivity were 91% and 70%, respectively. The p < 0.001 indicated that the value of CCs of the prostates between the two groups was significantly different.

CONCLUSION

The symmetry in T2WI is a potential useful index for PCa screening and has a potential value for PCa detection and localizations of tumours for biopsy.

ADVANCES IN KNOWLEDGE

Texture bilateral symmetry of prostate T2WI is employed to screen the suspected prostate tumour.

摘要

目的

回顾性评估前列腺T2加权成像(T2WI)中左右半对称分析在改善前列腺癌(PCa)筛查方面的价值。

方法

收集了66名男性的T2WI及其他数据;对照组和癌症组各有33例患者。采用阈值几何活动轮廓算法进行前列腺区域分割,并应用局部反射对称算法提取纵向对称轴。之后,获得每个前列腺左右半部分的互相关系数(CCs)。

结果

数据分析表明,癌症组和对照组前列腺T2WI左右半部分CCs值的均值和方差分别为0.73±0.05和0.82±0.06。受试者工作特征曲线下面积为0.87,特异性和敏感性分别为91%和70%。p<0.001表明两组之间前列腺CCs值存在显著差异。

结论

T2WI中的对称性是PCa筛查的一个潜在有用指标,对PCa检测以及肿瘤活检定位具有潜在价值。

知识进展

利用前列腺T2WI的纹理双侧对称性来筛查可疑前列腺肿瘤。

相似文献

1
Symmetry based prostate cancer detection.基于对称性的前列腺癌检测。
Br J Radiol. 2015 Jun;88(1050):20150132. doi: 10.1259/bjr.20150132. Epub 2015 Apr 22.
2
Evaluation of the prostate imaging reporting and data system for the detection of prostate cancer by the results of targeted biopsy of the prostate.前列腺影像报告和数据系统在前列腺靶向活检检测前列腺癌中的应用评价。
Invest Radiol. 2014 Jun;49(6):411-20. doi: 10.1097/RLI.0000000000000030.
3
Prostate cancer detection with 3 T MRI: comparison of diffusion-weighted imaging and dynamic contrast-enhanced MRI in combination with T2-weighted imaging.3T MRI 检测前列腺癌:扩散加权成像与动态对比增强 MRI 联合 T2 加权成像的比较。
J Magn Reson Imaging. 2010 Mar;31(3):625-31. doi: 10.1002/jmri.22075.
4
Fusion of Magnetic Resonance Imaging and Real-Time Elastography to Visualize Prostate Cancer: A Prospective Analysis using Whole Mount Sections after Radical Prostatectomy.磁共振成像与实时弹性成像融合用于可视化前列腺癌:前列腺癌根治术后全层切片的前瞻性分析
Ultraschall Med. 2015 Aug;36(4):355-61. doi: 10.1055/s-0034-1366563. Epub 2014 May 22.
5
Usefulness of prebiopsy multifunctional and morphologic MRI combined with free-to-total prostate-specific antigen ratio in the detection of prostate cancer.多模态磁共振成像联合游离前列腺特异性抗原与总前列腺特异性抗原比值在前列腺癌检测中的应用
AJR Am J Roentgenol. 2011 Jun;196(6):W715-22. doi: 10.2214/AJR.10.5700.
6
Prostate cancer detection: comparison of T2-weighted imaging, diffusion-weighted imaging, proton magnetic resonance spectroscopic imaging, and the three techniques combined.前列腺癌检测:T2加权成像、扩散加权成像、质子磁共振波谱成像及三种技术联合应用的比较
Acta Radiol. 2008 Jun;49(5):602-10. doi: 10.1080/02841850802004983.
7
Computerized characterization of prostate cancer by fractal analysis in MR images.通过对磁共振图像进行分形分析实现前列腺癌的计算机化特征描述。
J Magn Reson Imaging. 2009 Jul;30(1):161-8. doi: 10.1002/jmri.21819.
8
Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer.扩散峰度成像与标准扩散成像在周围区前列腺癌检测及分级中的评估
Invest Radiol. 2015 Aug;50(8):483-9. doi: 10.1097/RLI.0000000000000155.
9
Rotating frame relaxation imaging of prostate cancer: Repeatability, cancer detection, and Gleason score prediction.前列腺癌的旋转框架弛豫成像:可重复性、癌症检测及 Gleason 评分预测
Magn Reson Med. 2016 Jan;75(1):337-44. doi: 10.1002/mrm.25647. Epub 2015 Mar 2.
10
Peripheral zone prostate cancer localization by multiparametric magnetic resonance at 3 T: unbiased cancer identification by matching to histopathology.3T 多参数磁共振前列腺外周带癌定位:与组织病理学匹配的无偏癌识别。
Invest Radiol. 2012 Nov;47(11):624-33. doi: 10.1097/RLI.0b013e318263f0fd.

本文引用的文献

1
Prostate cancer in East Asia: evolving trend over the last decade.东亚地区的前列腺癌:过去十年的演变趋势
Asian J Androl. 2015 Jan-Feb;17(1):48-57. doi: 10.4103/1008-682X.132780.
2
Computer-aided detection of prostate cancer in MRI.计算机辅助检测 MRI 中的前列腺癌。
IEEE Trans Med Imaging. 2014 May;33(5):1083-92. doi: 10.1109/TMI.2014.2303821.
3
Epidemiology of prostate cancer in the Asia-Pacific region.亚太地区前列腺癌的流行病学。
Prostate Int. 2013;1(2):47-58. doi: 10.12954/PI.12014. Epub 2013 Jun 30.
4
Scoring systems used for the interpretation and reporting of multiparametric MRI for prostate cancer detection, localization, and characterization: could standardization lead to improved utilization of imaging within the diagnostic pathway?用于解释和报告前列腺癌检测、定位和特征的多参数 MRI 的评分系统:标准化是否能提高诊断途径中影像学的应用?
J Magn Reson Imaging. 2013 Jan;37(1):48-58. doi: 10.1002/jmri.23689. Epub 2012 May 7.
5
ESUR prostate MR guidelines 2012.ESUR 前列腺磁共振成像指南 2012.
Eur Radiol. 2012 Apr;22(4):746-57. doi: 10.1007/s00330-011-2377-y. Epub 2012 Feb 10.
6
Imaging modalities for prostate cancer.前列腺癌的成像方式。
Expert Rev Anticancer Ther. 2009 Jul;9(7):923-37. doi: 10.1586/era.09.63.
7
Computerized characterization of prostate cancer by fractal analysis in MR images.通过对磁共振图像进行分形分析实现前列腺癌的计算机化特征描述。
J Magn Reson Imaging. 2009 Jul;30(1):161-8. doi: 10.1002/jmri.21819.
8
Dynamic contrast-enhanced MRI for prostate cancer localization.用于前列腺癌定位的动态对比增强磁共振成像
Br J Radiol. 2009 Feb;82(974):148-56. doi: 10.1259/bjr/89518905.
9
Cancer statistics, 2008.2008年癌症统计数据。
CA Cancer J Clin. 2008 Mar-Apr;58(2):71-96. doi: 10.3322/CA.2007.0010. Epub 2008 Feb 20.
10
Prostate cancer computer-assisted diagnosis software using dynamic contrast-enhanced MRI.使用动态对比增强磁共振成像的前列腺癌计算机辅助诊断软件
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:5567-70. doi: 10.1109/IEMBS.2007.4353608.