Cancer Research and Treatment

Tae Il Noh

2 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

6,494 View
163 Download
5 Web of Science
6 Crossref

Diagnostic Accuracy and Value of Magnetic Resonance Imaging–Ultrasound Fusion Transperineal Targeted and Template Systematic Prostate Biopsy Based on Bi-parametric Magnetic Resonance Imaging: Tae Il Noh, Jong Hyun Tae, Hyung Keun Kim, Ji Sung Shim, Sung Gu Kang, Deuk Jae Sung, Jun Cheon, Jeong Gu Lee, Seok Ho Kang; Cancer Res Treat. 2020;52(3):714-721. Published online February 10, 2020; DOI: https://doi.org/10.4143/crt.2019.716

Abstract PDF Supplementary Material PubReader ePub

Purpose
The purpose of this study was to investigate the diagnostic value of magnetic resonance imaging (MRI)–ultrasound (US) fusion transperineal targeted biopsy (FTB) and fusion template systematic biopsy (FSB) for prostate cancer (PCa) and clinically significant prostate cancer (csPCa) (intermediate/high grade [Gleason score ≥ 3+4]) based on bi-parametric MRI (bpMRI).
Materials and methods
Retrospectively, we analyzed 300 patients with elevated prostate-specific antigen (≥ 4.0 ng/mL) and/or abnormal findings in a digital rectal examination at the Korea University Hospital. All 300 men underwent bpMRI-US fusion transperineal FTB and FSB in the period from April 2017 to March 2019.
Results
PCas were detected in 158 of 300 men (52.7%), and the prevalence of csPCa was 34.0%. CsPCas were detected in 12 of 102 (11.8%) with Prostate Imaging-Reporting and Data System (PI-RADS) 3, 42 of 92 (45.7%) with PI-RADS 4, respectively; and 45 of 62 (72.6%) men with PI-RADS 5, respectively. BpMRI showed a sensitivity of 95.1% and negative predictive value of 89.6% for csPCa. FTB detected additional csPCa in 33 men (12.9%) compared to FSB. Compared to FTB, FSB detected additional csPCa in 10 men (3.9%).
Conclusion
BpMRI-US FTB and FSB improved detection of PCa and csPCa. The accuracy of bi-parametric MRI is comparable with that of multi-parametric MRI. Further, it is rapid, simpler, cheaper, and no side effects of contrast media. Therefore, it is expected that bpMRI-US transperineal FTB and FSB could be a good alternative to conventional US-guided transrectal biopsy, which is the current gold standard.

Citations

Citations to this article as recorded by

Diagnostic performance of transperineal prostate targeted biopsy alone according to the PI-RADS score based on bi-parametric magnetic resonance imaging
Tae Il Noh, Ji Sung Shim, Seok Ho Kang, Jun Cheon, Sung Gu Kang
Frontiers in Oncology.2023;[Epub] 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
Concordance between biparametric MRI, transperineal targeted plus systematic MRI-ultrasound fusion prostate biopsy, and radical prostatectomy pathology
Tae Il Noh, Ji Sung Shim, Sung Gu Kang, Jun Cheon, Jeong Gu Lee, Jeong Hyeon Lee, Seok Ho Kang
Scientific Reports.2022;[Epub] CrossRef
Three-dimensional ultrasound integrating nomogram and the blood flow image for prostate cancer diagnosis and biopsy: A retrospective study
Dong Chen, Yingjie Niu, Haitao Chen, Dequan Liu, Rong Guo, Nan Yao, Zhiyao Li, Xiaomao Luo, Hongyang Li, Shicong Tang
Frontiers in Oncology.2022;[Epub] CrossRef
Comparison between biparametric and multiparametric MRI in predicting muscle invasion by bladder cancer based on the VI-RADS
Tae Il Noh, Ji Sung Shim, Sung Gu Kang, Deuk Jae Sung, Jun Cheon, Ki Choon Sim, Seok Ho Kang
Scientific Reports.2022;[Epub] CrossRef
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 Research and Treatment.2021; 53(4): 1148. CrossRef
PSA Based Biomarkers, Imagistic Techniques and Combined Tests for a Better Diagnostic of Localized Prostate Cancer
Vlad Cristian Munteanu, Raluca Andrada Munteanu, Diana Gulei, Vlad Horia Schitcu, Bogdan Petrut, Ioana Berindan Neagoe, Patriciu Achimas Cadariu, Ioan Coman
Diagnostics.2020; 10(10): 806. CrossRef

7,052 View
168 Download
10 Web of Science
7 Crossref

Author index