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外周区体积比(PZ-ratio)与活检结果相关,可提高当前诊断方式的准确性。

Peripheral zone volume ratio (PZ-ratio) is relevant with biopsy results and can increase the accuracy of current diagnostic modality.

作者信息

Chang Yifan, Chen Rui, Yang Qingsong, Gao Xu, Xu Chuanliang, Lu Jianping, Sun Yinghao

机构信息

Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.

Department of Radiology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China.

出版信息

Oncotarget. 2017 May 23;8(21):34836-34843. doi: 10.18632/oncotarget.16753.

Abstract

The current diagnostic modality of prostate cancer based on prostate specific antigen (PSA) and systematic biopsy is far from ideal in terms of over-diagnosing indolent prostate cancer and missing significant ones. Thus we integrated the peripheral zone volume ratio (PZ-ratio) for diagnostic refinement. This retrospective study included 247 consecutive patients who underwent initial transrectal ultrasound-guided systematic prostate biopsy from April 2014 to November 2015. Prostate volume was determined by semi-automatic contour on axial T2 weighted magnetic resonance imaging (MRI). PZ-ratio was inversely correlated with age (r = -0.36, p <0.0001). Adding PZ-ratio and MRI findings to the current predictive model (age, PSA density, percent-free PSA) significantly increased diagnostic accuracy in all patients (AUC: 0.871 vs. 0.812, p = 0.0059), but not in patient subgroup with PSA 4-10 ng/ml (AUC: 0.863 vs. 0.803, p = 0.12). The new model also significantly reduced the number of unnecessary biopsies while missing less significant cancers at a probability threshold of 25%. PZ-ratio is a potential tool in predicting biopsy results, and when added alone or in combination with MRI findings, the diagnostic accuracy can be further enhanced.

摘要

基于前列腺特异性抗原(PSA)和系统活检的当前前列腺癌诊断方式,在过度诊断惰性前列腺癌和漏诊重要病例方面远非理想。因此,我们纳入外周区体积比(PZ-比)以优化诊断。这项回顾性研究纳入了2014年4月至2015年11月期间连续接受初次经直肠超声引导下系统前列腺活检的247例患者。通过轴位T2加权磁共振成像(MRI)上的半自动轮廓测量前列腺体积。PZ-比与年龄呈负相关(r = -0.36,p <0.0001)。将PZ-比和MRI结果添加到当前预测模型(年龄、PSA密度、游离PSA百分比)中,显著提高了所有患者的诊断准确性(AUC:0.871对0.812,p = 0.0059),但在PSA为4-10 ng/ml的患者亚组中未提高(AUC:0.863对0.803,p = 0.12)。新模型在25%的概率阈值下,还显著减少了不必要活检的数量,同时漏诊重要癌症的情况较少。PZ-比是预测活检结果的潜在工具,单独添加或与MRI结果联合使用时,诊断准确性可进一步提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ffc9/5471015/b5cedc744768/oncotarget-08-34836-g001.jpg

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