Diagnostic evaluation and incorporation of PSA density and the prostate imaging and data reporting system (PIRADS) version 2 classification in risk-nomograms for prostate cancer
Purpose The diagnostic approach for prostate cancer still depends on PSA and DRE. Objectives: to evaluate the diagnostic validity of PSA-Density and PIRADSv2 as diagnostic tests regarding biopsy results, and to design nomograms that include all diagnostic variables for malignancy, significant tumor...
Gespeichert in:
Veröffentlicht in: | World journal of urology 2022-10, Vol.40 (10), p.2439-2450 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 2450 |
---|---|
container_issue | 10 |
container_start_page | 2439 |
container_title | World journal of urology |
container_volume | 40 |
creator | Rodríguez Cabello, Miguel Angel Méndez Rubio, Santiago Platas Sancho, Arturo Carballido Rodríguez, Joaquin |
description | Purpose
The diagnostic approach for prostate cancer still depends on PSA and DRE. Objectives: to evaluate the diagnostic validity of PSA-Density and PIRADSv2 as diagnostic tests regarding biopsy results, and to design nomograms that include all diagnostic variables for malignancy, significant tumor (ST) and high-grade tumor.
Methods
Cross-sectional study which included men with PSA ≥ 4 ng/ml and/or suspicious DRE, PIRADSv2 ≥ 3 lesions on multiparametric MRI and prostate biopsy. The gold standard test was the maximum ISUP of the targeted biopsy per patient (malignancy: ISUP ≥ 1, ST: ISUP ≥ 2, high-grade tumor: ISUP ≥ 4). Association and logistic regression tests were used and diagnostic validity parameters using PSA-Density and PIRADSv2 classification was analyzed. Nomograms were designed for malignancy, ST, and high-grade tumor using the best model selection procedure from all possible equations.
Results
336 men with median age, PSA and PSA-Density of 67.7 years (IQR:12.6), 6.3 ng/ml (IQR:3.3) and 0.12 ng/ml/cc (IQR:0.10), respectively; 63 index lesions were PIRADS3, 204 PIRADS4, and 69 PIRADS5. 65.8% and 37.8% were malignant and ST, respectively. The significant positive association highlighted between malignancy and ST with age, DRE, PSA-Density and PIRADSv2. PSA-Density and PIRADSv2 ≥ 3 presented the highest sensitivity to detect malignancy, and their combination showed sensitivity nearly 95% (AUC:0.803). Nomograms for malignancy and ST included the variables age, DRE, PSA-Density, and PIRADSv2 with a sensitivity closely 91% (AUC:0.833), and a specificity of almost 85% for ST, exposing risk |
doi_str_mv | 10.1007/s00345-022-04118-9 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2700313927</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2718009083</sourcerecordid><originalsourceid>FETCH-LOGICAL-c352t-622416b2438737b997c37e9a740870c0c90082b47b175f968ff4ae65181563ed3</originalsourceid><addsrcrecordid>eNp9kcFu3CAQhq2qlZqmfYGekHJJD04GsA0cV0naRIqUqGnPiGWxS2LDlmFX2sfKG5ZdR0rVQ0-g4fvnH-avqs8UziiAOEcA3rQ1MFZDQ6ms1ZvqiDac11Kw7u1f9_fVB8RHACo6aI-q50tvhhAxe0vc1owbk30MxIQV8cHGtI5prsSe3D8syMoF9Hl3APIvR9apaE12xE9m8GE4PKxMNiS5os37Eu4wu4mc3t98X1w-fCFbl3DfkhE7GkTfezt7-ECSx6c6xCkOyUxI-pheLawJ1qWP1bvejOg-vZzH1c-vVz8uruvbu283F4vb2vKW5bpjrKHdkjVcCi6WSgnLhVNGNCAFWLAKQLJlI5ZUtL3qZN83xnUtlbTtuFvx4-p07lv8f28cZj15tG4cTXBxg5qJsnPKFRMFPfkHfYybFMp0haISQIHkhWIzZcuHMLler1PZWtppCnqfop5T1CVFfUhRqyLiswgLHAaXXlv_R_UHO3yg9A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2718009083</pqid></control><display><type>article</type><title>Diagnostic evaluation and incorporation of PSA density and the prostate imaging and data reporting system (PIRADS) version 2 classification in risk-nomograms for prostate cancer</title><source>SpringerNature Journals</source><creator>Rodríguez Cabello, Miguel Angel ; Méndez Rubio, Santiago ; Platas Sancho, Arturo ; Carballido Rodríguez, Joaquin</creator><creatorcontrib>Rodríguez Cabello, Miguel Angel ; Méndez Rubio, Santiago ; Platas Sancho, Arturo ; Carballido Rodríguez, Joaquin</creatorcontrib><description>Purpose
The diagnostic approach for prostate cancer still depends on PSA and DRE. Objectives: to evaluate the diagnostic validity of PSA-Density and PIRADSv2 as diagnostic tests regarding biopsy results, and to design nomograms that include all diagnostic variables for malignancy, significant tumor (ST) and high-grade tumor.
Methods
Cross-sectional study which included men with PSA ≥ 4 ng/ml and/or suspicious DRE, PIRADSv2 ≥ 3 lesions on multiparametric MRI and prostate biopsy. The gold standard test was the maximum ISUP of the targeted biopsy per patient (malignancy: ISUP ≥ 1, ST: ISUP ≥ 2, high-grade tumor: ISUP ≥ 4). Association and logistic regression tests were used and diagnostic validity parameters using PSA-Density and PIRADSv2 classification was analyzed. Nomograms were designed for malignancy, ST, and high-grade tumor using the best model selection procedure from all possible equations.
Results
336 men with median age, PSA and PSA-Density of 67.7 years (IQR:12.6), 6.3 ng/ml (IQR:3.3) and 0.12 ng/ml/cc (IQR:0.10), respectively; 63 index lesions were PIRADS3, 204 PIRADS4, and 69 PIRADS5. 65.8% and 37.8% were malignant and ST, respectively. The significant positive association highlighted between malignancy and ST with age, DRE, PSA-Density and PIRADSv2. PSA-Density and PIRADSv2 ≥ 3 presented the highest sensitivity to detect malignancy, and their combination showed sensitivity nearly 95% (AUC:0.803). Nomograms for malignancy and ST included the variables age, DRE, PSA-Density, and PIRADSv2 with a sensitivity closely 91% (AUC:0.833), and a specificity of almost 85% for ST, exposing risk < 5% for ST when PSA-Density is < 0.15, not suspicious DRE and PIRADS3.
Conclusion
PSA-Density and PIRADSv2 classification in risk nomograms can provide highly relevant information to increase the accuracy in the diagnosis of PC and ST.</description><identifier>ISSN: 1433-8726</identifier><identifier>ISSN: 0724-4983</identifier><identifier>EISSN: 1433-8726</identifier><identifier>DOI: 10.1007/s00345-022-04118-9</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Age ; Biopsy ; Classification ; Malignancy ; Medicine ; Medicine & Public Health ; Nephrology ; Nomograms ; Oncology ; Original Article ; Prostate cancer ; Tumors ; Urology</subject><ispartof>World journal of urology, 2022-10, Vol.40 (10), p.2439-2450</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c352t-622416b2438737b997c37e9a740870c0c90082b47b175f968ff4ae65181563ed3</citedby><cites>FETCH-LOGICAL-c352t-622416b2438737b997c37e9a740870c0c90082b47b175f968ff4ae65181563ed3</cites><orcidid>0000-0003-3716-7093</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00345-022-04118-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00345-022-04118-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Rodríguez Cabello, Miguel Angel</creatorcontrib><creatorcontrib>Méndez Rubio, Santiago</creatorcontrib><creatorcontrib>Platas Sancho, Arturo</creatorcontrib><creatorcontrib>Carballido Rodríguez, Joaquin</creatorcontrib><title>Diagnostic evaluation and incorporation of PSA density and the prostate imaging and data reporting system (PIRADS) version 2 classification in risk-nomograms for prostate cancer</title><title>World journal of urology</title><addtitle>World J Urol</addtitle><description>Purpose
The diagnostic approach for prostate cancer still depends on PSA and DRE. Objectives: to evaluate the diagnostic validity of PSA-Density and PIRADSv2 as diagnostic tests regarding biopsy results, and to design nomograms that include all diagnostic variables for malignancy, significant tumor (ST) and high-grade tumor.
Methods
Cross-sectional study which included men with PSA ≥ 4 ng/ml and/or suspicious DRE, PIRADSv2 ≥ 3 lesions on multiparametric MRI and prostate biopsy. The gold standard test was the maximum ISUP of the targeted biopsy per patient (malignancy: ISUP ≥ 1, ST: ISUP ≥ 2, high-grade tumor: ISUP ≥ 4). Association and logistic regression tests were used and diagnostic validity parameters using PSA-Density and PIRADSv2 classification was analyzed. Nomograms were designed for malignancy, ST, and high-grade tumor using the best model selection procedure from all possible equations.
Results
336 men with median age, PSA and PSA-Density of 67.7 years (IQR:12.6), 6.3 ng/ml (IQR:3.3) and 0.12 ng/ml/cc (IQR:0.10), respectively; 63 index lesions were PIRADS3, 204 PIRADS4, and 69 PIRADS5. 65.8% and 37.8% were malignant and ST, respectively. The significant positive association highlighted between malignancy and ST with age, DRE, PSA-Density and PIRADSv2. PSA-Density and PIRADSv2 ≥ 3 presented the highest sensitivity to detect malignancy, and their combination showed sensitivity nearly 95% (AUC:0.803). Nomograms for malignancy and ST included the variables age, DRE, PSA-Density, and PIRADSv2 with a sensitivity closely 91% (AUC:0.833), and a specificity of almost 85% for ST, exposing risk < 5% for ST when PSA-Density is < 0.15, not suspicious DRE and PIRADS3.
Conclusion
PSA-Density and PIRADSv2 classification in risk nomograms can provide highly relevant information to increase the accuracy in the diagnosis of PC and ST.</description><subject>Age</subject><subject>Biopsy</subject><subject>Classification</subject><subject>Malignancy</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nephrology</subject><subject>Nomograms</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Prostate cancer</subject><subject>Tumors</subject><subject>Urology</subject><issn>1433-8726</issn><issn>0724-4983</issn><issn>1433-8726</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kcFu3CAQhq2qlZqmfYGekHJJD04GsA0cV0naRIqUqGnPiGWxS2LDlmFX2sfKG5ZdR0rVQ0-g4fvnH-avqs8UziiAOEcA3rQ1MFZDQ6ms1ZvqiDac11Kw7u1f9_fVB8RHACo6aI-q50tvhhAxe0vc1owbk30MxIQV8cHGtI5prsSe3D8syMoF9Hl3APIvR9apaE12xE9m8GE4PKxMNiS5os37Eu4wu4mc3t98X1w-fCFbl3DfkhE7GkTfezt7-ECSx6c6xCkOyUxI-pheLawJ1qWP1bvejOg-vZzH1c-vVz8uruvbu283F4vb2vKW5bpjrKHdkjVcCi6WSgnLhVNGNCAFWLAKQLJlI5ZUtL3qZN83xnUtlbTtuFvx4-p07lv8f28cZj15tG4cTXBxg5qJsnPKFRMFPfkHfYybFMp0haISQIHkhWIzZcuHMLler1PZWtppCnqfop5T1CVFfUhRqyLiswgLHAaXXlv_R_UHO3yg9A</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Rodríguez Cabello, Miguel Angel</creator><creator>Méndez Rubio, Santiago</creator><creator>Platas Sancho, Arturo</creator><creator>Carballido Rodríguez, Joaquin</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3716-7093</orcidid></search><sort><creationdate>20221001</creationdate><title>Diagnostic evaluation and incorporation of PSA density and the prostate imaging and data reporting system (PIRADS) version 2 classification in risk-nomograms for prostate cancer</title><author>Rodríguez Cabello, Miguel Angel ; Méndez Rubio, Santiago ; Platas Sancho, Arturo ; Carballido Rodríguez, Joaquin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-622416b2438737b997c37e9a740870c0c90082b47b175f968ff4ae65181563ed3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Biopsy</topic><topic>Classification</topic><topic>Malignancy</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nephrology</topic><topic>Nomograms</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Prostate cancer</topic><topic>Tumors</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rodríguez Cabello, Miguel Angel</creatorcontrib><creatorcontrib>Méndez Rubio, Santiago</creatorcontrib><creatorcontrib>Platas Sancho, Arturo</creatorcontrib><creatorcontrib>Carballido Rodríguez, Joaquin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>World journal of urology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rodríguez Cabello, Miguel Angel</au><au>Méndez Rubio, Santiago</au><au>Platas Sancho, Arturo</au><au>Carballido Rodríguez, Joaquin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diagnostic evaluation and incorporation of PSA density and the prostate imaging and data reporting system (PIRADS) version 2 classification in risk-nomograms for prostate cancer</atitle><jtitle>World journal of urology</jtitle><stitle>World J Urol</stitle><date>2022-10-01</date><risdate>2022</risdate><volume>40</volume><issue>10</issue><spage>2439</spage><epage>2450</epage><pages>2439-2450</pages><issn>1433-8726</issn><issn>0724-4983</issn><eissn>1433-8726</eissn><abstract>Purpose
The diagnostic approach for prostate cancer still depends on PSA and DRE. Objectives: to evaluate the diagnostic validity of PSA-Density and PIRADSv2 as diagnostic tests regarding biopsy results, and to design nomograms that include all diagnostic variables for malignancy, significant tumor (ST) and high-grade tumor.
Methods
Cross-sectional study which included men with PSA ≥ 4 ng/ml and/or suspicious DRE, PIRADSv2 ≥ 3 lesions on multiparametric MRI and prostate biopsy. The gold standard test was the maximum ISUP of the targeted biopsy per patient (malignancy: ISUP ≥ 1, ST: ISUP ≥ 2, high-grade tumor: ISUP ≥ 4). Association and logistic regression tests were used and diagnostic validity parameters using PSA-Density and PIRADSv2 classification was analyzed. Nomograms were designed for malignancy, ST, and high-grade tumor using the best model selection procedure from all possible equations.
Results
336 men with median age, PSA and PSA-Density of 67.7 years (IQR:12.6), 6.3 ng/ml (IQR:3.3) and 0.12 ng/ml/cc (IQR:0.10), respectively; 63 index lesions were PIRADS3, 204 PIRADS4, and 69 PIRADS5. 65.8% and 37.8% were malignant and ST, respectively. The significant positive association highlighted between malignancy and ST with age, DRE, PSA-Density and PIRADSv2. PSA-Density and PIRADSv2 ≥ 3 presented the highest sensitivity to detect malignancy, and their combination showed sensitivity nearly 95% (AUC:0.803). Nomograms for malignancy and ST included the variables age, DRE, PSA-Density, and PIRADSv2 with a sensitivity closely 91% (AUC:0.833), and a specificity of almost 85% for ST, exposing risk < 5% for ST when PSA-Density is < 0.15, not suspicious DRE and PIRADS3.
Conclusion
PSA-Density and PIRADSv2 classification in risk nomograms can provide highly relevant information to increase the accuracy in the diagnosis of PC and ST.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00345-022-04118-9</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-3716-7093</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1433-8726 |
ispartof | World journal of urology, 2022-10, Vol.40 (10), p.2439-2450 |
issn | 1433-8726 0724-4983 1433-8726 |
language | eng |
recordid | cdi_proquest_miscellaneous_2700313927 |
source | SpringerNature Journals |
subjects | Age Biopsy Classification Malignancy Medicine Medicine & Public Health Nephrology Nomograms Oncology Original Article Prostate cancer Tumors Urology |
title | Diagnostic evaluation and incorporation of PSA density and the prostate imaging and data reporting system (PIRADS) version 2 classification in risk-nomograms for prostate cancer |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-21T06%3A40%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Diagnostic%20evaluation%20and%20incorporation%20of%20PSA%20density%20and%20the%20prostate%20imaging%20and%20data%20reporting%20system%20(PIRADS)%20version%202%20classification%20in%20risk-nomograms%20for%20prostate%20cancer&rft.jtitle=World%20journal%20of%20urology&rft.au=Rodr%C3%ADguez%20Cabello,%20Miguel%20Angel&rft.date=2022-10-01&rft.volume=40&rft.issue=10&rft.spage=2439&rft.epage=2450&rft.pages=2439-2450&rft.issn=1433-8726&rft.eissn=1433-8726&rft_id=info:doi/10.1007/s00345-022-04118-9&rft_dat=%3Cproquest_cross%3E2718009083%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2718009083&rft_id=info:pmid/&rfr_iscdi=true |