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电子鼻检测前列腺癌:原理初探。

Detection of prostate cancer by an electronic nose: a proof of principle study.

机构信息

School of Medicine, University of Tampere, Tampere, Finland.

Department of Surgery, School of Medicine, University of Tampere and Department of Urology, Tampere University Hospital, Tampere, Finland.

出版信息

J Urol. 2014 Jul;192(1):230-4. doi: 10.1016/j.juro.2014.01.113. Epub 2014 Feb 25.

Abstract

PURPOSE

We evaluate the ability of an electronic nose to discriminate prostate cancer from benign prostatic hyperplasia using urine headspace, potentially offering a clinically applicable noninvasive and rapid diagnostic method.

MATERIALS AND METHODS

The ChemPro® 100-eNose was used to discriminate prostate cancer from benign prostatic hyperplasia using urine sample headspace. Its performance was tested with 50 patients with confirmed prostate cancer and 24 samples from 15 patients with benign prostatic hyperplasia (15 patients provided urine preoperatively and 9 patients provided samples 3 months postoperatively) scheduled to undergo robotic assisted laparoscopic radical prostatectomy or transurethral resection of prostate, respectively. The patients provided urine sample preoperatively and those with benign prostatic hyperplasia also provided samples 3 months postoperatively to be used as a pooled control sample population. A discrimination classifier was identified for eNose and subsequently, sensitivity and specificity values were determined. Leave-one-out cross-validation was performed.

RESULTS

Using leave-one-out cross-validation the eNose reached a sensitivity of 78%, a specificity of 67% and AUC 0.77.

CONCLUSIONS

The electronic nose is capable of rapidly and noninvasively discriminating prostate cancer and benign prostatic hyperplasia using urine headspace in patients undergoing surgery.

摘要

目的

我们评估电子鼻通过尿顶空区分前列腺癌和良性前列腺增生的能力,从而提供一种潜在的临床适用的非侵入性和快速诊断方法。

材料与方法

使用 ChemPro® 100-eNose 通过尿样本顶空区分前列腺癌和良性前列腺增生。使用分别计划接受机器人辅助腹腔镜前列腺根治术或经尿道前列腺切除术的 50 例确诊前列腺癌患者和 24 例来自 15 例良性前列腺增生患者(15 例患者术前提供尿液,9 例患者术后 3 个月提供样本)的尿液样本对其性能进行了测试。患者术前提供尿液样本,良性前列腺增生患者也在术后 3 个月提供样本,作为汇总对照样本人群。确定了电子鼻的判别分类器,随后确定了灵敏度和特异性值。进行了留一法交叉验证。

结果

使用留一法交叉验证,电子鼻的灵敏度为 78%,特异性为 67%,AUC 为 0.77。

结论

电子鼻能够通过手术患者的尿顶空快速、非侵入性地区分前列腺癌和良性前列腺增生。

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