Literature DB >> 24147475

Prostate volumes derived from MRI and volume-adjusted serum prostate-specific antigen: correlation with Gleason score of prostate cancer.

Ibrahim Karademir1, Dinggang Shen, Yahui Peng, Shu Liao, Yulei Jiang, Ambereen Yousuf, Gregory Karczmar, Steffen Sammet, Shiyang Wang, Milica Medved, Tatjana Antic, Scott Eggener, Aytekin Oto.   

Abstract

OBJECTIVE: The purpose of this article is to study relationships between MRI-based prostate volume and volume-adjusted serum prostate-specific antigen (PSA) concentration estimates and prostate cancer Gleason score.
MATERIALS AND METHODS: The study included 61 patients with prostate cancer (average age, 63.3 years; range 52-75 years) who underwent MRI before prostatectomy. A semiautomated and MRI-based technique was used to estimate total and central gland prostate volumes, central gland volume fraction (central gland volume divided by total prostate volume), PSA density (PSAD; PSA divided by total prostate volume), and PSAD for the central gland (PSA divided by central gland volume). These MRI-based volume and volume-adjusted PSA estimates were compared with prostatectomy specimen weight and Gleason score by using Pearson (r) or Spearman (ρ) correlation coefficients.
RESULTS: The estimated total prostate volume showed a high correlation with reference standard volume (r = 0.94). Of the 61 patients, eight (13.1%) had a Gleason score of 6, 40 (65.6%) had a Gleason score of 7, seven (11.5%) had a Gleason score of 8, and six (9.8%) had a Gleason score of 9 for prostate cancer. The Gleason score was significantly correlated with central gland volume fraction (ρ = -0.42; p = 0.0007), PSAD (ρ = 0.46; p = 0.0002), and PSAD for the central gland (ρ = 0.55; p = 0.00001).
CONCLUSION: Central gland volume fraction, PSAD, and PSAD for the central gland estimated from MRI examinations show a modest but significant correlation with Gleason score and have the potential to contribute to personalized risk assessment for significant prostate cancer.

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Year:  2013        PMID: 24147475      PMCID: PMC4354695          DOI: 10.2214/AJR.13.10591

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  42 in total

1.  Assessing prostate volume by magnetic resonance imaging: a comparison of different measurement approaches for organ volume analysis.

Authors:  Guang Jia; Klaus T Baudendistel; Hendrik von Tengg-Kobligk; Johannes T Heverhagen; Hans Polzer; Hannes Henry; Matthew J McAuliffe; Andrea L Levine; Thomas J Rosol; Michael V Knopp
Journal:  Invest Radiol       Date:  2005-04       Impact factor: 6.016

2.  Interobserver variability of transrectal ultrasound for prostate volume measurement according to volume and observer experience.

Authors:  Young Jun Choi; Jeong Kon Kim; Hyun Jin Kim; Kyoung-Sik Cho
Journal:  AJR Am J Roentgenol       Date:  2009-02       Impact factor: 3.959

3.  Prostate volume estimation using the ellipsoid formula consistently underestimates actual gland size.

Authors:  Esequiel Rodriguez; Douglas Skarecky; Navneet Narula; Thomas E Ahlering
Journal:  J Urol       Date:  2008-02       Impact factor: 7.450

4.  Magnetic resonance imaging (MRI) for localization of the prostatic apex: comparison to computed tomography (CT) and urethrography.

Authors:  M Milosevic; S Voruganti; R Blend; H Alasti; P Warde; M McLean; P Catton; C Catton; M Gospodarowicz
Journal:  Radiother Oncol       Date:  1998-06       Impact factor: 6.280

5.  Prostatic carcinoma and benign prostatic hyperplasia: MR imaging with histopathologic correlation.

Authors:  T Kahn; K Bürrig; B Schmitz-Dräger; J S Lewin; G Fürst; U Mödder
Journal:  Radiology       Date:  1989-12       Impact factor: 11.105

6.  Diagnostic significance of PSA density adjusted by transition zone volume in males with PSA levels between 2 and 4ng/ml.

Authors:  Masaru Ohi; Kazuto Ito; Kazuhiro Suzuki; Takumi Yamamoto; Hidetoshi Yamanaka
Journal:  Eur Urol       Date:  2004-01       Impact factor: 20.096

7.  Cancer-specific mortality after surgery or radiation for patients with clinically localized prostate cancer managed during the prostate-specific antigen era.

Authors:  Anthony V D'Amico; Judd Moul; Peter R Carroll; Leon Sun; Deborah Lubeck; Ming-Hui Chen
Journal:  J Clin Oncol       Date:  2003-06-01       Impact factor: 44.544

8.  Sparse patch based prostate segmentation in CT images.

Authors:  Shu Liao; Yaozong Gao; Dinggang Shen
Journal:  Med Image Comput Comput Assist Interv       Date:  2012

9.  Comparison of digital rectal examination and serum prostate specific antigen in the early detection of prostate cancer: results of a multicenter clinical trial of 6,630 men.

Authors:  William J Catalona; Jerome P Richie; Frederick R Ahmann; M'Liss A Hudson; Peter T Scardino; Robert C Flanigan; Jean B DeKernion; Timothy L Ratliff; Louis R Kavoussi; Bruce L Dalkin; W Bedford Waters; Michael T MacFarlane; Paula C Southwick
Journal:  J Urol       Date:  1994-05       Impact factor: 7.450

10.  Prostate specific antigen density of the transition zone for predicting pathological stage of localized prostate cancer in patients with serum prostate specific antigen less than 10 ng./ml.

Authors:  A R Zlotta; B Djavan; M Petein; M Susani; M Marberger; C C Schulman
Journal:  J Urol       Date:  1998-12       Impact factor: 7.450

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  10 in total

1.  3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors.

Authors:  Kaiyan Qiu; Zichen Zhao; Ghazaleh Haghiashtiani; Shuang-Zhuang Guo; Mingyu He; Ruitao Su; Zhijie Zhu; Didarul B Bhuiyan; Paari Murugan; Fanben Meng; Sung Hyun Park; Chih-Chang Chu; Brenda M Ogle; Daniel A Saltzman; Badrinath R Konety; Robert M Sweet; Michael C McAlpine
Journal:  Adv Mater Technol       Date:  2017-12-06

2.  Predicting Gleason score using the initial serum total prostate-specific antigen in Black men with symptomatic prostate adenocarcinoma in Nigeria.

Authors:  Ikenna I Nnabugwu; Emeka I Udeh; Fredrick O Ugwumba; Francis O Ozoemena
Journal:  Clin Interv Aging       Date:  2016-07-18       Impact factor: 4.458

3.  Developing a nomogram based on multiparametric magnetic resonance imaging for forecasting high-grade prostate cancer to reduce unnecessary biopsies within the prostate-specific antigen gray zone.

Authors:  Xiang-Ke Niu; Jun Li; Susant Kumar Das; Yan Xiong; Chao-Bing Yang; Tao Peng
Journal:  BMC Med Imaging       Date:  2017-02-01       Impact factor: 1.930

4.  Performance characteristics of prostate-specific antigen density and biopsy core details to predict oncological outcome in patients with intermediate to high-risk prostate cancer underwent robot-assisted radical prostatectomy.

Authors:  Masahiro Yashi; Akinori Nukui; Yuumi Tokura; Kohei Takei; Issei Suzuki; Kazumasa Sakamoto; Hideo Yuki; Tsunehito Kambara; Hironori Betsunoh; Hideyuki Abe; Yoshitatsu Fukabori; Yoshimasa Nakazato; Yasushi Kaji; Takao Kamai
Journal:  BMC Urol       Date:  2017-06-23       Impact factor: 2.264

5.  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

Review 6.  How Accurately Can Prostate Gland Imaging Measure the Prostate Gland Volume? Results of a Systematic Review.

Authors:  David R H Christie; Christopher F Sharpley
Journal:  Prostate Cancer       Date:  2019-03-03

7.  Construction and Validation of a Clinical Predictive Nomogram for Improving the Cancer Detection of Prostate Naive Biopsy Based on Chinese Multicenter Clinical Data.

Authors:  Tao Tao; Changming Wang; Weiyong Liu; Lei Yuan; Qingyu Ge; Lang Zhang; Biming He; Lei Wang; Ling Wang; Caiping Xiang; Haifeng Wang; Shuqiu Chen; Jun Xiao
Journal:  Front Oncol       Date:  2022-01-21       Impact factor: 6.244

Review 8.  Diagnostic Accuracy of Predictive Models in Prostate Cancer: A Systematic Review and Meta-Analysis.

Authors:  Mohammad Saatchi; Fatemeh Khatami; Rahil Mashhadi; Akram Mirzaei; Leila Zareian; Zeinab Ahadi; Seyed Mohammad Kazem Aghamir
Journal:  Prostate Cancer       Date:  2022-06-08

9.  Combining prostate-specific antigen density with prostate imaging reporting and data system score version 2.1 to improve detection of clinically significant prostate cancer: A retrospective study.

Authors:  Yin Lei; Tian Jie Li; Peng Gu; Yu Kun Yang; Lei Zhao; Chao Gao; Juan Hu; Xiao Dong Liu
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

10.  Prostate volume and biopsy tumor length are significant predictors for classical and redefined insignificant cancer on prostatectomy specimens in Japanese men with favorable pathologic features on biopsy.

Authors:  Masahiro Yashi; Tomoya Mizuno; Hideo Yuki; Akinori Masuda; Tsunehito Kambara; Hironori Betsunoh; Hideyuki Abe; Yoshitatsu Fukabori; Osamu Muraishi; Koyu Suzuki; Yoshimasa Nakazato; Takao Kamai
Journal:  BMC Urol       Date:  2014-05-29       Impact factor: 2.264

  10 in total

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