Cancer Research and Treatment

Original Articles

Genitourinary Cancer

A Predictive Model Based on Bi-parametric Magnetic Resonance Imaging and Clinical Parameters for Clinically Significant Prostate Cancer in the Korean Population: Tae Il Noh, Chang Wan Hyun, Ha Eun Kang, Hyun Jung Jin, Jong Hyun Tae, Ji Sung Shim, Sung Gu Kang, Deuk Jae Sung, Jun Cheon, Jeong Gu Lee, Seok Ho Kang; Cancer Res Treat. 2021;53(4):1148-1155. Published online December 31, 2020; DOI: https://doi.org/10.4143/crt.2020.1068

Abstract PDF Supplementary Material PubReader ePub

Purpose
This study aimed to develop and validate a predictive model for the assessment of clinically significant prostate cancer (csPCa) in men, prior to prostate biopsies, based on bi-parametric magnetic resonance imaging (bpMRI) and clinical parameters.
Materials and Methods
We retrospectively analyzed 300 men with clinical suspicion of prostate cancer (prostate-specific antigen [PSA] ≥ 4.0 ng/mL and/or abnormal findings in a digital rectal examination), who underwent bpMRI-ultrasound fusion transperineal targeted and systematic biopsies in the same session, at a Korean university hospital. Predictive models, based on Prostate Imaging Reporting and Data Systems scores of bpMRI and clinical parameters, were developed to detect csPCa (intermediate/high grade [Gleason score ≥ 3+4]) and compared by analyzing the areas under the curves and decision curves.
Results
A predictive model defined by the combination of bpMRI and clinical parameters (age, PSA density) showed high discriminatory power (area under the curve, 0.861) and resulted in a significant net benefit on decision curve analysis. Applying a probability threshold of 7.5%, 21.6% of men could avoid unnecessary prostate biopsy, while only 1.0% of significant prostate cancers were missed.
Conclusion
This predictive model provided a reliable and measurable means of risk stratification of csPCa, with high discriminatory power and great net benefit. It could be a useful tool for clinical decision-making prior to prostate biopsies.

Citations

Citations to this article as recorded by

Abbreviated MRI Protocols in the Abdomen and Pelvis
Kristina I. Ringe, Jin Wang, Ying Deng, Shan Pi, Amine Geahchan, Bachir Taouli, Mustafa R. Bashir
Journal of Magnetic Resonance Imaging.2024; 59(1): 58. CrossRef
Magnetic Resonance Imaging, Clinical, and Biopsy Findings in Suspected Prostate Cancer
Arya Haj-Mirzaian, Kristine S. Burk, Ronilda Lacson, Daniel I. Glazer, Sanjay Saini, Adam S. Kibel, Ramin Khorasani
JAMA Network Open.2024; 7(3): e244258. CrossRef
The Barcelona Predictive Model of Clinically Significant Prostate Cancer
Juan Morote, Angel Borque-Fernando, Marina Triquell, Anna Celma, Lucas Regis, Manel Escobar, Richard Mast, Inés M. de Torres, María E. Semidey, José M. Abascal, Carles Sola, Pol Servian, Daniel Salvador, Anna Santamaría, Jacques Planas, Luis M. Esteban, E
Cancers.2022; 14(6): 1589. CrossRef
Efficacy of Tadalafil in Penile Rehabilitation Started Before Nerve-Sparing Robot-Assisted Radical Prostatectomy: A Double-Blind Pilot Study
Tae Il Noh, Ji Sung Shim, Sung Gu Kang, Jun Cheon, Jeong Gu Lee, Seok Ho Kang
Sexual Medicine.2022; 10(3): 1. CrossRef
Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy
Juan Morote, Angel Borque-Fernando, Marina Triquell, Anna Celma, Lucas Regis, Richard Mast, Inés M. de Torres, María E. Semidey, José M. Abascal, Pol Servian, Anna Santamaría, Jacques Planas, Luis M. Esteban, Enrique Trilla
Cancers.2022; 14(10): 2374. CrossRef
Magnetic Resonance Imaging-Based Predictive Models for Clinically Significant Prostate Cancer: A Systematic Review
Marina Triquell, Miriam Campistol, Ana Celma, Lucas Regis, Mercè Cuadras, Jacques Planas, Enrique Trilla, Juan Morote
Cancers.2022; 14(19): 4747. CrossRef

6,874 View
166 Download
5 Web of Science
6 Crossref

Biopsy Related Prostate Status Does Not Affect on the Clinicopathological Outcome of Robotic Assisted Laparoscopic Radical Prostatectomy: Hoon Choi, Young Hwii Ko, Sung Gu Kang, Seok Ho Kang, Hong Seok Park, Jun Cheon, Vipul R. Patel; Cancer Res Treat. 2009;41(4):205-210. Published online December 31, 2009; DOI: https://doi.org/10.4143/crt.2009.41.4.205

Abstract PDF PubReader ePub

Purpose

To determine whether the biopsy core number and time interval between prostate biopsy and radical prostatectomy affect the operative and oncologic outcome of robot assisted laparoscopic radical prostatectomy (RALP).

Materials and Methods

From January 2008 to April 2009, a single surgeon performed 72 RALPs after an initial learning period of 30 cases. The relationship between time from biopsy to prostatectomy and biopsy core number with operative time and estimated blood loss (EBL) were initially evaluated with a linear regression model. These patients were classified into groups according to whether the interval from biopsy to RALP was within four weeks or not, and whether there were less than or greater than 10 core specimens removed.

Results

RALP was performed in 34 patients within four weeks of biopsy, and in 38 patients more than 4 weeks after biopsy. According to the number of core specimens removed, less than 10 cores were performed in 10 patients, and more than 10 cores were performed in 62 patients. Using an interval of 4 weeks as the cutoff point, early surgery was associated with longer operating time (232.6 vs 208.8 min) and increased estimated blood loss (305.1 vs 276.9 mL). For cases with more than 10 biopsy cores, there was a slight increase in operative time (229.2 vs 210.3 min). None of these differences were statistically significant by multivariate analysis.

Conclusion

Our data suggests that there is no reason to delay RALP to more than 4 weeks after prostate biopsy. It also revealed that the number of biopsy cores (up to 14) did not influence operative outcome. Thus, RALP is a feasible procedure regardless of the biopsy related prostate state.

Citations

Citations to this article as recorded by

Effect of Transperineal Versus Transrectal Prostate Biopsy on the Quality of Hydrogel Spacer Placement in Men Prior to Radiation Therapy for Prostate Cancer
Michael E. Rezaee, Ulysses Gardner, Mark N. Alshak, Stephen C. Greco, Daniel Y. Song, Michael Goldstein, Christian P. Pavlovich
Urology.2023; 182: 27. CrossRef
Does time interval between prostate biopsy and surgery affect outcomes of radical prostatectomy? A systematic review and meta-analysis
Jie Li, Qing Jiang, Qiubo Li, Yuanfeng Zhang, Liang Gao
International Urology and Nephrology.2020; 52(4): 619. CrossRef
Short interval of biopsy to robotic-assisted laparoscopic radical prostatectomy does not render any adverse effects on the perioperative outcomes
Minke He, Yaohui Li, Zhuoyi Xiang, Li-an Sun, Yanjun Zhu, Xiaoyi Hu, Jianming Guo, Hang Wang
Medicine.2018; 97(36): e11686. CrossRef
A Multidimensional Analysis of Prostate Surgery Costs in the United States: Robotic-Assisted versus Retropubic Radical Prostatectomy
Akash Bijlani, April E. Hebert, Mike Davitian, Holly May, Mark Speers, Robert Leung, Nihal E. Mohamed, Henry S. Sacks, Ashutosh Tewari
Value in Health.2016; 19(4): 391. CrossRef
Interval from Prostate Biopsy to Radical Prostatectomy Does Not Affect Immediate Operative Outcomes for Open or Minimally Invasive Approach
Bumsoo Park, Seol Ho Choo, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon, Hyun Moo Lee, Han Yong Choi
Journal of Korean Medical Science.2014; 29(12): 1688. CrossRef
Interval from Prostate Biopsy to Robot-Assisted Laparoscopic Radical Prostatectomy (RALP): Effects on Surgical Difficulties
In Sung Kim, Woong Na, Jung Su Nam, Jong Jin Oh, Chang Wook Jeong, Sung Kyu Hong, Seok Soo Byun, Sang Eun Lee
Korean Journal of Urology.2011; 52(10): 664. CrossRef
Prostate-Specific Antigen Density as a Powerful Predictor of Extracapsular Extension and Positive Surgical Margin in Radical Prostatectomy Patients with Prostate-Specific Antigen Levels of Less than 10 ng/ml
Jin-Seok Chang, Hoon Choi, Young-Seop Chang, Jin-Bum Kim, Mi Mi Oh, Du Geon Moon, Jae Hyun Bae, Jun Cheon
Korean Journal of Urology.2011; 52(12): 809. CrossRef

9,630 View
51 Download
7 Crossref

First
Prev
Page of 1
Next
Last

Search