Literature DB >> 25946664

MRI-based prostate volume-adjusted prostate-specific antigen in the diagnosis of prostate cancer.

Yahui Peng1,2, Dinggang Shen3, Shu Liao3, Baris Turkbey4, Soroush Rais-Bahrami5, Bradford Wood5, Ibrahim Karademir2, Tatjana Antic6, Ambereen Yousef2, Yulei Jiang2, Peter A Pinto5, Peter L Choyke7, Aytekin Oto2.   

Abstract

PURPOSE: To determine whether prostate-specific antigen (PSA) levels adjusted by prostate and zonal volumes estimated from magnetic resonance imaging (MRI) improve the diagnosis of prostate cancer (PCa) and differentiation between patients who harbor high-Gleason-sum PCa and those without PCa.
MATERIALS AND METHODS: This retrospective study was Health Insurance Portability and Accountability Act (HIPAA)-compliant and approved by the Institutional Review Board of participating medical institutions. T2 -weighted MR images were acquired for 61 PCa patients and 100 patients with elevated PSA but without PCa. Computer methods were used to segment prostate and zonal structures and to estimate the total prostate and central-gland (CG) volumes, which were then used to calculate CG volume fraction, PSA density, and PSA density adjusted by CG volume. These quantities were used to differentiate patients with and without PCa. Area under the receiver operating characteristic curve (AUC) was used as the figure of merit.
RESULTS: The total prostate and CG volumes, CG volume fraction, and PSA density adjusted by the total prostate and CG volumes were statistically significantly different between patients with PCa and patients without PCa (P ≤ 0.007). AUC values for the total prostate and CG volumes, and PSA density adjusted by CG volume, were 0.68 ± 0.04, 0.68 ± 0.04, and 0.66 ± 0.04, respectively, and were significantly better than that of PSA (P < 0.02), for differentiation of PCa patients from patients without PCa.
CONCLUSION: The total prostate and CG volumes estimated from T2 -weighted MR images and PSA density adjusted by these volumes can improve the effectiveness of PSA for the diagnosis of PCa and differentiation of high-Gleason-sum PCa patients from patients without PCa.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  image segmentation; magnetic resonance imaging; prostate cancer; prostate volume; prostate-specific antigen; zonal structure

Mesh:

Substances:

Year:  2015        PMID: 25946664      PMCID: PMC6301074          DOI: 10.1002/jmri.24944

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  9 in total

1.  Diagnostic value of MRI-based PSA density in predicting transperineal sector-guided prostate biopsy outcomes.

Authors:  Findlay MacAskill; Su-Min Lee; David Eldred-Evans; Wahyu Wulaningsih; Rick Popert; Konrad Wolfe; Mieke Van Hemelrijck; Giles Rottenberg; Sidath H Liyanage; Peter Acher
Journal:  Int Urol Nephrol       Date:  2017-05-05       Impact factor: 2.370

2.  Magnetic resonance imaging of benign prostatic hyperplasia.

Authors:  Serkan Guneyli; Emily Ward; Stephen Thomas; Ambereen Nehal Yousuf; Igor Trilisky; Yahui Peng; Tatjana Antic; Aytekin Oto
Journal:  Diagn Interv Radiol       Date:  2016 May-Jun       Impact factor: 2.630

3.  Association Between Prostate Size and MRI Determined Quantitative Prostate Zonal Measurements.

Authors:  Jake Sellers; Rachel Wagstaff; Naseem Helo; Werner T W de Riese
Journal:  Res Rep Urol       Date:  2022-06-30

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

Authors:  Yifan Chang; Rui Chen; Qingsong Yang; Xu Gao; Chuanliang Xu; Jianping Lu; Yinghao Sun
Journal:  Oncotarget       Date:  2017-05-23

5.  Computational imaging reveals shape differences between normal and malignant prostates on MRI.

Authors:  Mirabela Rusu; Andrei S Purysko; Sadhna Verma; Jonathan Kiechle; Jay Gollamudi; Soumya Ghose; Karin Herrmann; Vikas Gulani; Raj Paspulati; Lee Ponsky; Maret Böhm; Anne-Maree Haynes; Daniel Moses; Ron Shnier; Warick Delprado; James Thompson; Phillip Stricker; Anant Madabhushi
Journal:  Sci Rep       Date:  2017-02-01       Impact factor: 4.379

6.  Improving the detection rate of prostate cancer in the gray zone of PI-RADS v2 and serum tPSA by using prostate-specific antigen-age volume.

Authors:  Yuan-Fei Lu; Qian Zhang; Hai-Yan Chen; Jie-Yu Chen; Yao Pan; Cong-Cong Xu; Jian-Xia Xu; Ri-Sheng Yu
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

7.  Quantitative measurements of prostatic zones by MRI and their dependence on prostate size: possible clinical implications in prostate cancer.

Authors:  Jake Sellers; Rachel G Wagstaff; Naseem Helo; Werner T W de Riese
Journal:  Ther Adv Urol       Date:  2021-03-31

8.  MRI-Based Nomogram of Prostate Maximum Sectional Area and Its Zone Area for Prediction of Prostate Cancer.

Authors:  Shaoqin Jiang; Zhangcheng Huang; Bingqiao Liu; Zhenlin Chen; Yue Xu; Wenzhong Zheng; Yaoan Wen; Mengqiang Li
Journal:  Front Oncol       Date:  2021-09-09       Impact factor: 6.244

9.  Possible clinical implications of prostate capsule thickness and glandular epithelial cell density in benign prostate hyperplasia.

Authors:  Katherine G Holder; Bernardo Galvan; Andrew S Knight; Freedom Ha; Reagan Collins; Preston E Weaver; Luis Brandi; Werner T de Riese
Journal:  Investig Clin Urol       Date:  2021-05-31
  9 in total

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