Oncotarget

Research Papers:

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

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

PDF  |  HTML  |  Supplementary Files  |  How to cite  |  Order a Reprint

Oncotarget. 2017; 8:34836-34843. https://doi.org/10.18632/oncotarget.16753

Metrics: PDF 1046 views  |   HTML 1465 views  |   ?  


Abstract

Yifan Chang1,*, Rui Chen1,*, Qingsong Yang2,*, Xu Gao1, Chuanliang Xu1, Jianping Lu2, Yinghao Sun1

1Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China

2Department of Radiology, Changhai Hospital, Second Military Medical University, Shanghai 200433, China

*These authors contributed equally to this work

Correspondence to:

Yinghao Sun, email: sunyhsmmu@126.com

Jianping Lu, email: cjr.lujianping@vip.163.com

Keywords: biopsy, diagnosis, multiparametric MRI, peripheral zone volume ratio, prostate cancer

Received: June 13, 2016     Accepted: March 21, 2017     Published: March 31, 2017

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.


Creative Commons License All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 License.
PII: 16753