Suppr超能文献

前列腺组织的电学特性:I. 单频导纳特性。

Electrical properties of prostatic tissues: I. Single frequency admittivity properties.

作者信息

Halter Ryan J, Schned Alan, Heaney John, Hartov Alex, Paulsen Keith D

机构信息

Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire 03755, USA.

出版信息

J Urol. 2009 Oct;182(4):1600-7. doi: 10.1016/j.juro.2009.06.007. Epub 2009 Aug 15.

Abstract

PURPOSE

Electrical properties of the prostate may provide sufficient contrast for distinguishing malignant and benign formations in the gland. We evaluated how well these electrical properties discriminate cancer from noncancer tissues in the prostate.

MATERIALS AND METHODS

Electrical admittivity (conductivity and permittivity) was recorded at 31 discrete frequencies of 0.1 to 100 kHz from each of 50 ex vivo human prostates. A specifically designed admittivity probe was used to gauge these electrical properties from sectioned prostate specimens. The specific tissue area probed was marked to provide precise colocalization between tissue histological assessment and recorded admittivity spectra.

RESULTS

Adenocarcinoma, benign prostatic hyperplasia, nonhyperplastic glandular tissue and stromal tissue were the primary tissue types probed. Mean cancer conductivity was significantly less than that of glandular and stromal tissues at all frequencies (p <0.05), while mean cancer permittivity was significantly greater than that of all benign tissues at 100 kHz (p <0.0001). ROC curves showed that permittivity at 100 kHz was optimal for discriminating cancer from all benign tissues. This parameter had 77% specificity at 70% sensitivity and an ROC AUC of 0.798.

CONCLUSIONS

The contrast in electrical admittivity properties of different prostate tissues shows promise for distinguishing cancer from benign tissues. Sensitivity and specificity exceed those reported for current prostate specific antigen screening practices at low prostate specific antigen, making this an attractive addition to the clinical armamentarium for identifying prostate cancer.

摘要

目的

前列腺的电学特性可能为区分腺体中的恶性和良性结构提供足够的对比度。我们评估了这些电学特性在区分前列腺癌组织与非癌组织方面的效果。

材料与方法

从50个离体人类前列腺中,在0.1至100 kHz的31个离散频率下记录电导率(传导率和电容率)。使用专门设计的电导率探头从切片的前列腺标本中测量这些电学特性。对所探测的特定组织区域进行标记,以便在组织组织学评估与记录的电导率光谱之间提供精确的共定位。

结果

腺癌、良性前列腺增生、非增生性腺组织和基质组织是主要探测的组织类型。在所有频率下,癌组织的平均电导率均显著低于腺组织和基质组织(p <0.05),而在100 kHz时,癌组织的平均电容率显著高于所有良性组织(p <0.0001)。ROC曲线显示,100 kHz时的电容率最适合区分癌组织与所有良性组织。该参数在灵敏度为70%时特异性为77%,ROC曲线下面积为0.798。

结论

不同前列腺组织的电导率特性差异有望用于区分癌组织与良性组织。其灵敏度和特异性超过了目前在低前列腺特异性抗原水平下前列腺特异性抗原筛查方法的报道结果,使其成为临床诊断前列腺癌的一种有吸引力的补充手段。

相似文献

5
Electrical impedance spectroscopy of the human prostate.人体前列腺的电阻抗光谱分析
IEEE Trans Biomed Eng. 2007 Jul;54(7):1321-7. doi: 10.1109/TBME.2007.897331.
6
Prostate Cancer Detection Using Composite Impedance Metric.使用复合阻抗指标检测前列腺癌
IEEE Trans Med Imaging. 2016 Dec;35(12):2513-2523. doi: 10.1109/TMI.2016.2578939. Epub 2016 Jun 9.
7
Electrical impedance spectroscopy for prostate cancer diagnosis.用于前列腺癌诊断的电阻抗光谱技术。
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3258-61. doi: 10.1109/EMBC.2012.6346660.

引用本文的文献

2
A Review of Recent Advancements in Sensor-Integrated Medical Tools.传感器集成医疗工具的最新进展综述
Adv Sci (Weinh). 2024 May;11(20):e2307427. doi: 10.1002/advs.202307427. Epub 2024 Mar 9.
6
Phantom Studies of Fused-Data TREIT Using Only Biopsy-Probe Electrodes.仅使用活检探头电极的融合数据 TREIT 的幻影研究。
IEEE Trans Med Imaging. 2020 Nov;39(11):3367-3378. doi: 10.1109/TMI.2020.2992453. Epub 2020 Oct 28.

本文引用的文献

3
The feasibility of prostate cancer detection by triple spectroscopy.三重光谱法检测前列腺癌的可行性
Eur Urol. 2009 Feb;55(2):376-83. doi: 10.1016/j.eururo.2008.02.022. Epub 2008 Mar 7.
6
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.
8
Is an improved PSA screening test in sight?一种经过改进的前列腺特异性抗原(PSA)筛查测试会出现吗?
J Natl Cancer Inst. 2007 Oct 17;99(20):1503-4. doi: 10.1093/jnci/djm195. Epub 2007 Oct 9.
9
Electrical impedance spectroscopy of the human prostate.人体前列腺的电阻抗光谱分析
IEEE Trans Biomed Eng. 2007 Jul;54(7):1321-7. doi: 10.1109/TBME.2007.897331.

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