Literature DB >> 24925834

Prostate-specific antigen density toward a better cutoff to identify better candidates for active surveillance.

Yun-Sok Ha1, Jihyeong Yu2, Amirali Hassanzadeh Salmasi3, Neal Patel3, Jaspreet Parihar3, Eric A Singer3, Jeong Hyun Kim4, Tae Gyun Kwon5, Wun-Jae Kim6, Isaac Yi Kim7.   

Abstract

OBJECTIVE: To investigate the impact of prostate-specific antigen density (PSAD) on existing prostate cancer (PCa) active surveillance (AS) protocols.
METHODS: Prospectively maintained database on men with PCa who underwent radical prostatectomy was reviewed retrospectively. Demographic data and pathologic characteristics of patients who fulfilled the AS inclusion criteria under the National Comprehensive Cancer Network (NCCN), Prostate Cancer Research International Active Surveillance (PRIAS), and University of California, San Francisco (UCSF) guidelines were examined.
RESULTS: Of 930 patients, 231, 280, and 325 fulfilled the NCCN, PRIAS, and UCSF AS criteria, respectively. The frequencies of advanced disease on surgical pathology (upstaging and/or upgrading) were 31.6% (NCCN), 35.4% (PRIAS), and 34.2% (UCSF) of the study cohorts. PSAD was significantly higher in patients with advanced disease compared with that in patients with nonadvanced disease in all 3 AS schemas. Modifying the PRIAS and UCSF criteria using the NCCN's lower PSAD cutoff of 0.15 ng/mL(2) decreased the rates of the advanced disease significantly to 33.5% and 31.4%, respectively. Using the receiver operating characteristic curve analysis, the optimal PSAD cutoff level for the prediction of advanced disease was 0.085 ng/mL(2) (sensitivity/specificity of 76.7%/50.6% in NCCN and 75.6%/49.7% in PRIAS).
CONCLUSION: Among patients with low-risk PCa who underwent radical prostatectomy, PSAD is a predictor of advanced disease at the time of surgery. Adopting a lower PSAD threshold of 0.085 ng/mL(2) decreased the risk of the advanced disease to 17.5%-21.7%. Therefore, PSAD should be part of all AS guidelines.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 24925834     DOI: 10.1016/j.urology.2014.02.038

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  12 in total

1.  Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI.

Authors:  Mrishta Brizmohun Appayya; Harbir S Sidhu; Nikolaos Dikaios; Edward W Johnston; Lucy Am Simmons; Alex Freeman; Alexander Ps Kirkham; Hashim U Ahmed; Shonit Punwani
Journal:  Br J Radiol       Date:  2017-12-15       Impact factor: 3.039

2.  Prostate cancer: optimizing active surveillance: patient and protocol.

Authors:  Annette Fenner
Journal:  Nat Rev Urol       Date:  2014-06-24       Impact factor: 14.432

Review 3.  [Intelligent early prostate cancer detection in 2021: more benefit than harm].

Authors:  N Westhoff; J von Hardenberg; M-S Michel
Journal:  Urologe A       Date:  2021-04-21       Impact factor: 0.639

4.  An assessment of Prostate Cancer Research International: Active Surveillance (PRIAS) criteria for active surveillance of clinically low-risk prostate cancer patients.

Authors:  Vitor da Silva; Ilias Cagiannos; Luke T Lavallée; Ranjeeta Mallick; Kelsey Witiuk; Sonya Cnossen; James A Eastham; Dean A Fergusson; Chris Morash; Rodney H Breau
Journal:  Can Urol Assoc J       Date:  2017-08       Impact factor: 1.862

5.  Pathologic Outcomes in Men with Low-risk Prostate Cancer Who Are Potential Candidates for Contemporary, Active Surveillance Protocols.

Authors:  Ho Won Kang; Joo Yong Lee; Jong Kyou Kwon; Seong Uk Jeh; Hae Do Jung; Kang Su Cho; Won Sik Ham; Young Deuk Choi
Journal:  J Korean Med Sci       Date:  2015-06-10       Impact factor: 2.153

6.  Predicting clinically significant prostate cancer based on pre-operative patient profile and serum biomarkers.

Authors:  Izak Faiena; Sinae Kim; Nicholas Farber; Young Suk Kwon; Brian Shinder; Neal Patel; Amirali H Salmasi; Thomas Jang; Eric A Singer; Wun-Jae Kim; Isaac Y Kim
Journal:  Oncotarget       Date:  2017-09-28

7.  Updated clinical results of active surveillance of very-low-risk prostate cancer in Korean men: 8 years of follow-up.

Authors:  Ji Yong Ha; Teak Jun Shin; Wonho Jung; Byung Hoon Kim; Choal Hee Park; Chun Il Kim
Journal:  Investig Clin Urol       Date:  2017-04-13

8.  Magnetic resonance imaging-guided targeted biopsy in risk classification among patients on active surveillance: A diagnostic meta-analysis.

Authors:  Wenbin Xue; Yu Huang; Tao Li; Ping Tan; Liangren Liu; Lu Yang; Qiang Wei
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

9.  Establishment of two new predictive models for prostate cancer to determine whether to require prostate biopsy when the PSA level is in the diagnostic gray zone (4-10 ng ml-1).

Authors:  Jun Liu; Zhi-Qian Wang; Min Li; Ming-Yang Zhou; Yi-Fei Yu; Wei-Wei Zhan
Journal:  Asian J Androl       Date:  2020 Mar-Apr       Impact factor: 3.285

10.  Is prostate specific antigen (PSA) density necessary in selecting prostate cancer patients for active surveillance and what should be the cutoff in the Asian population?

Authors:  Chiu-Fung Tsang; Terence C T Lai; Wayne Lam; Brian S H Ho; Ada T L Ng; Wai-Kit Ma; Ming-Kwong Yiu; James H L Tsu
Journal:  Prostate Int       Date:  2018-03-12
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