A Predictive Model Based on Bi-parametric Magnetic Resonance Imaging and Clinical Parameters for Clinically Significant Prostate Cancer in the Korean Population
DC Field | Value | Language |
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dc.contributor.author | Noh, T.I. | - |
dc.contributor.author | Hyun, C.W. | - |
dc.contributor.author | Kang, H.E. | - |
dc.contributor.author | Jin, H.J. | - |
dc.contributor.author | Tae, J.H. | - |
dc.contributor.author | Shim, J.S. | - |
dc.contributor.author | Kang, S.G. | - |
dc.contributor.author | Sung, D.J. | - |
dc.contributor.author | Cheon, J. | - |
dc.contributor.author | Lee, J.G. | - |
dc.contributor.author | Kang, S.H. | - |
dc.date.accessioned | 2022-04-02T20:40:33Z | - |
dc.date.available | 2022-04-02T20:40:33Z | - |
dc.date.created | 2022-04-01 | - |
dc.date.issued | 2021-10 | - |
dc.identifier.issn | 1598-2998 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/139606 | - |
dc.description.abstract | 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. Copyright 2021by theKoreanCancerAssociation | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | Korean Cancer Association | - |
dc.title | A Predictive Model Based on Bi-parametric Magnetic Resonance Imaging and Clinical Parameters for Clinically Significant Prostate Cancer in the Korean Population | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Shim, J.S. | - |
dc.identifier.doi | 10.4143/crt.2020.1068 | - |
dc.identifier.scopusid | 2-s2.0-85118296446 | - |
dc.identifier.wosid | 000744519500005 | - |
dc.identifier.bibliographicCitation | Cancer Research and Treatment, v.53, no.4, pp.1148 - 1155 | - |
dc.relation.isPartOf | Cancer Research and Treatment | - |
dc.citation.title | Cancer Research and Treatment | - |
dc.citation.volume | 53 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 1148 | - |
dc.citation.endPage | 1155 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002764950 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Oncology | - |
dc.relation.journalWebOfScienceCategory | Oncology | - |
dc.subject.keywordPlus | RISK STRATIFICATION | - |
dc.subject.keywordPlus | DIAGNOSTIC-ACCURACY | - |
dc.subject.keywordPlus | BIOPSY | - |
dc.subject.keywordPlus | ANTIGEN | - |
dc.subject.keywordPlus | MEN | - |
dc.subject.keywordPlus | MRI | - |
dc.subject.keywordAuthor | Bi-parametric magnetic resonance imaging | - |
dc.subject.keywordAuthor | Nomograms | - |
dc.subject.keywordAuthor | Prostatic neoplasms | - |
dc.subject.keywordAuthor | Transperineal prostate biopsy | - |
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