Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography – a systematic review and meta-analysis

Objective To systematically review the literature on the Bosniak classification system in CT to determine its diagnostic performance to diagnose malignant cystic lesions and the prevalence of malignancy in Bosniak categories. Methods A predefined database search was performed from 1 January 1986 to...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European radiology 2017-06, Vol.27 (6), p.2239-2247
Hauptverfasser: Sevcenco, Sabina, Spick, Claudio, Helbich, Thomas H., Heinz, Gertraud, Shariat, Shahrokh F., Klingler, Hans C., Rauchenwald, Michael, Baltzer, Pascal A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 2247
container_issue 6
container_start_page 2239
container_title European radiology
container_volume 27
creator Sevcenco, Sabina
Spick, Claudio
Helbich, Thomas H.
Heinz, Gertraud
Shariat, Shahrokh F.
Klingler, Hans C.
Rauchenwald, Michael
Baltzer, Pascal A.
description Objective To systematically review the literature on the Bosniak classification system in CT to determine its diagnostic performance to diagnose malignant cystic lesions and the prevalence of malignancy in Bosniak categories. Methods A predefined database search was performed from 1 January 1986 to 18 January 2016. Two independent reviewers extracted data on malignancy rates in Bosniak categories and several covariates using predefined criteria. Study quality was assessed using QUADAS-2. Meta-analysis included data pooling, subgroup analyses, meta-regression and investigation of publication bias. Results A total of 35 studies, which included 2,578 lesions, were investigated. Data on observer experience, inter-observer variation and technical CT standards were insufficiently reported. The pooled rate of malignancy increased from Bosniak I (3.2 %, 95 % CI 0–6.8, I 2  = 5 %) to Bosniak II (6 %, 95 % CI 2.7–9.3, I 2  = 32 %), IIF (6.7 %, 95 % CI 5–8.4, I 2  = 0 %), III (55.1 %, 95 % CI 45.7–64.5, I 2  = 89 %) and IV (91 %, 95 % CI 87.7–94.2, I 2  = 36). Several study design-related influences on malignancy rates and subsequent diagnostic performance indices were identified. Conclusion The Bosniak classification is an accurate tool with which to stratify the risk of malignancy in renal cystic lesions. Key points • The Bosniak classification can accurately rule out malignancy . • Specificity remains moderate at 74  % ( 95  % CI 64 – 82 ). • Follow - up examinations should be considered in Bosniak IIF and Bosniak II cysts . • Data on the influence of reader experience and inter - reader variability are insufficient . • Technical CT standards and publication year did not influence diagnostic performance .
doi_str_mv 10.1007/s00330-016-4631-9
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5408031</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4322043051</sourcerecordid><originalsourceid>FETCH-LOGICAL-c470t-1fe9338377845e873aae9dacad9849a7d82f00efb076fe0f177b2ec66af8627d3</originalsourceid><addsrcrecordid>eNp1ks2O0zAURiMEYkrhAdggS2zYBK7jJI43SMyIP2kQG1hbt8516yGxi50O6o534FV4Ip4EtymjAYmVF_d8x77yVxSPOTznAPJFAhACSuBtWbeCl-pOseC1qEoOXX23WIASXSmVqs-KByldAYDitbxfnFVStlxyWBQ_P-Dg1h692bOIEyWGvme9w7UPaXKGbSnaEMcMEAuWTRti5yF5h1-YGTAlZ53ByQXPMnYcn8IuHXizP1oieRzYQCmDiTnPTBi3u4l6NoUxrCNuN3v26_sPhizlBI04p64dfTu-aKQJS8ySfRY_LO5ZHBI9Op3L4vOb158u3pWXH9--v3h1WZpawlRyS0qITkjZ1Q11UiCS6tFgr7paoey7ygKQXYFsLYHlUq4qMm2Ltmsr2Ytl8XL2bnerkXpDfoo46G10I8a9Duj03xPvNnodrnVTQweCZ8GzkyCGrztKkx5dMjQM6CnskuadaBqQKv_jsnj6D3oVdjEvfKBU1UghockUnykTQ0qR7M1jOOhDJ_TcCZ07oQ-d0Cpnntze4ibxpwQZqGYg5ZFfU7x19X-tvwEu6sg-</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1892573705</pqid></control><display><type>article</type><title>Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography – a systematic review and meta-analysis</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Sevcenco, Sabina ; Spick, Claudio ; Helbich, Thomas H. ; Heinz, Gertraud ; Shariat, Shahrokh F. ; Klingler, Hans C. ; Rauchenwald, Michael ; Baltzer, Pascal A.</creator><creatorcontrib>Sevcenco, Sabina ; Spick, Claudio ; Helbich, Thomas H. ; Heinz, Gertraud ; Shariat, Shahrokh F. ; Klingler, Hans C. ; Rauchenwald, Michael ; Baltzer, Pascal A.</creatorcontrib><description>Objective To systematically review the literature on the Bosniak classification system in CT to determine its diagnostic performance to diagnose malignant cystic lesions and the prevalence of malignancy in Bosniak categories. Methods A predefined database search was performed from 1 January 1986 to 18 January 2016. Two independent reviewers extracted data on malignancy rates in Bosniak categories and several covariates using predefined criteria. Study quality was assessed using QUADAS-2. Meta-analysis included data pooling, subgroup analyses, meta-regression and investigation of publication bias. Results A total of 35 studies, which included 2,578 lesions, were investigated. Data on observer experience, inter-observer variation and technical CT standards were insufficiently reported. The pooled rate of malignancy increased from Bosniak I (3.2 %, 95 % CI 0–6.8, I 2  = 5 %) to Bosniak II (6 %, 95 % CI 2.7–9.3, I 2  = 32 %), IIF (6.7 %, 95 % CI 5–8.4, I 2  = 0 %), III (55.1 %, 95 % CI 45.7–64.5, I 2  = 89 %) and IV (91 %, 95 % CI 87.7–94.2, I 2  = 36). Several study design-related influences on malignancy rates and subsequent diagnostic performance indices were identified. Conclusion The Bosniak classification is an accurate tool with which to stratify the risk of malignancy in renal cystic lesions. Key points • The Bosniak classification can accurately rule out malignancy . • Specificity remains moderate at 74  % ( 95  % CI 64 – 82 ). • Follow - up examinations should be considered in Bosniak IIF and Bosniak II cysts . • Data on the influence of reader experience and inter - reader variability are insufficient . • Technical CT standards and publication year did not influence diagnostic performance .</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-016-4631-9</identifier><identifier>PMID: 27761710</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Classification ; Cysts ; Databases, Factual ; Diagnostic Radiology ; Humans ; Imaging ; Influence ; Internal Medicine ; Interventional Radiology ; Investigations ; Kidney - pathology ; Kidney Diseases, Cystic - classification ; Kidney Diseases, Cystic - diagnostic imaging ; Kidney Diseases, Cystic - pathology ; Kidney Neoplasms - classification ; Kidney Neoplasms - diagnostic imaging ; Kidney Neoplasms - pathology ; Medicine ; Medicine &amp; Public Health ; Meta-analysis ; Neuroradiology ; Observer Variation ; Publication Bias ; Qualitative Research ; Radiology ; Research Design ; Sensitivity and Specificity ; Surgery ; Surveillance ; Systematic review ; Tomography ; Tomography, X-Ray Computed ; Ultrasound ; Urogenital ; Urology</subject><ispartof>European radiology, 2017-06, Vol.27 (6), p.2239-2247</ispartof><rights>The Author(s) 2016</rights><rights>European Radiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-1fe9338377845e873aae9dacad9849a7d82f00efb076fe0f177b2ec66af8627d3</citedby><cites>FETCH-LOGICAL-c470t-1fe9338377845e873aae9dacad9849a7d82f00efb076fe0f177b2ec66af8627d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-016-4631-9$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-016-4631-9$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27761710$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sevcenco, Sabina</creatorcontrib><creatorcontrib>Spick, Claudio</creatorcontrib><creatorcontrib>Helbich, Thomas H.</creatorcontrib><creatorcontrib>Heinz, Gertraud</creatorcontrib><creatorcontrib>Shariat, Shahrokh F.</creatorcontrib><creatorcontrib>Klingler, Hans C.</creatorcontrib><creatorcontrib>Rauchenwald, Michael</creatorcontrib><creatorcontrib>Baltzer, Pascal A.</creatorcontrib><title>Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography – a systematic review and meta-analysis</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objective To systematically review the literature on the Bosniak classification system in CT to determine its diagnostic performance to diagnose malignant cystic lesions and the prevalence of malignancy in Bosniak categories. Methods A predefined database search was performed from 1 January 1986 to 18 January 2016. Two independent reviewers extracted data on malignancy rates in Bosniak categories and several covariates using predefined criteria. Study quality was assessed using QUADAS-2. Meta-analysis included data pooling, subgroup analyses, meta-regression and investigation of publication bias. Results A total of 35 studies, which included 2,578 lesions, were investigated. Data on observer experience, inter-observer variation and technical CT standards were insufficiently reported. The pooled rate of malignancy increased from Bosniak I (3.2 %, 95 % CI 0–6.8, I 2  = 5 %) to Bosniak II (6 %, 95 % CI 2.7–9.3, I 2  = 32 %), IIF (6.7 %, 95 % CI 5–8.4, I 2  = 0 %), III (55.1 %, 95 % CI 45.7–64.5, I 2  = 89 %) and IV (91 %, 95 % CI 87.7–94.2, I 2  = 36). Several study design-related influences on malignancy rates and subsequent diagnostic performance indices were identified. Conclusion The Bosniak classification is an accurate tool with which to stratify the risk of malignancy in renal cystic lesions. Key points • The Bosniak classification can accurately rule out malignancy . • Specificity remains moderate at 74  % ( 95  % CI 64 – 82 ). • Follow - up examinations should be considered in Bosniak IIF and Bosniak II cysts . • Data on the influence of reader experience and inter - reader variability are insufficient . • Technical CT standards and publication year did not influence diagnostic performance .</description><subject>Classification</subject><subject>Cysts</subject><subject>Databases, Factual</subject><subject>Diagnostic Radiology</subject><subject>Humans</subject><subject>Imaging</subject><subject>Influence</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Investigations</subject><subject>Kidney - pathology</subject><subject>Kidney Diseases, Cystic - classification</subject><subject>Kidney Diseases, Cystic - diagnostic imaging</subject><subject>Kidney Diseases, Cystic - pathology</subject><subject>Kidney Neoplasms - classification</subject><subject>Kidney Neoplasms - diagnostic imaging</subject><subject>Kidney Neoplasms - pathology</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Meta-analysis</subject><subject>Neuroradiology</subject><subject>Observer Variation</subject><subject>Publication Bias</subject><subject>Qualitative Research</subject><subject>Radiology</subject><subject>Research Design</subject><subject>Sensitivity and Specificity</subject><subject>Surgery</subject><subject>Surveillance</subject><subject>Systematic review</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Ultrasound</subject><subject>Urogenital</subject><subject>Urology</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1ks2O0zAURiMEYkrhAdggS2zYBK7jJI43SMyIP2kQG1hbt8516yGxi50O6o534FV4Ip4EtymjAYmVF_d8x77yVxSPOTznAPJFAhACSuBtWbeCl-pOseC1qEoOXX23WIASXSmVqs-KByldAYDitbxfnFVStlxyWBQ_P-Dg1h692bOIEyWGvme9w7UPaXKGbSnaEMcMEAuWTRti5yF5h1-YGTAlZ53ByQXPMnYcn8IuHXizP1oieRzYQCmDiTnPTBi3u4l6NoUxrCNuN3v26_sPhizlBI04p64dfTu-aKQJS8ySfRY_LO5ZHBI9Op3L4vOb158u3pWXH9--v3h1WZpawlRyS0qITkjZ1Q11UiCS6tFgr7paoey7ygKQXYFsLYHlUq4qMm2Ltmsr2Ytl8XL2bnerkXpDfoo46G10I8a9Duj03xPvNnodrnVTQweCZ8GzkyCGrztKkx5dMjQM6CnskuadaBqQKv_jsnj6D3oVdjEvfKBU1UghockUnykTQ0qR7M1jOOhDJ_TcCZ07oQ-d0Cpnntze4ibxpwQZqGYg5ZFfU7x19X-tvwEu6sg-</recordid><startdate>20170601</startdate><enddate>20170601</enddate><creator>Sevcenco, Sabina</creator><creator>Spick, Claudio</creator><creator>Helbich, Thomas H.</creator><creator>Heinz, Gertraud</creator><creator>Shariat, Shahrokh F.</creator><creator>Klingler, Hans C.</creator><creator>Rauchenwald, Michael</creator><creator>Baltzer, Pascal A.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20170601</creationdate><title>Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography – a systematic review and meta-analysis</title><author>Sevcenco, Sabina ; Spick, Claudio ; Helbich, Thomas H. ; Heinz, Gertraud ; Shariat, Shahrokh F. ; Klingler, Hans C. ; Rauchenwald, Michael ; Baltzer, Pascal A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-1fe9338377845e873aae9dacad9849a7d82f00efb076fe0f177b2ec66af8627d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Classification</topic><topic>Cysts</topic><topic>Databases, Factual</topic><topic>Diagnostic Radiology</topic><topic>Humans</topic><topic>Imaging</topic><topic>Influence</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Investigations</topic><topic>Kidney - pathology</topic><topic>Kidney Diseases, Cystic - classification</topic><topic>Kidney Diseases, Cystic - diagnostic imaging</topic><topic>Kidney Diseases, Cystic - pathology</topic><topic>Kidney Neoplasms - classification</topic><topic>Kidney Neoplasms - diagnostic imaging</topic><topic>Kidney Neoplasms - pathology</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Meta-analysis</topic><topic>Neuroradiology</topic><topic>Observer Variation</topic><topic>Publication Bias</topic><topic>Qualitative Research</topic><topic>Radiology</topic><topic>Research Design</topic><topic>Sensitivity and Specificity</topic><topic>Surgery</topic><topic>Surveillance</topic><topic>Systematic review</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Ultrasound</topic><topic>Urogenital</topic><topic>Urology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sevcenco, Sabina</creatorcontrib><creatorcontrib>Spick, Claudio</creatorcontrib><creatorcontrib>Helbich, Thomas H.</creatorcontrib><creatorcontrib>Heinz, Gertraud</creatorcontrib><creatorcontrib>Shariat, Shahrokh F.</creatorcontrib><creatorcontrib>Klingler, Hans C.</creatorcontrib><creatorcontrib>Rauchenwald, Michael</creatorcontrib><creatorcontrib>Baltzer, Pascal A.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing &amp; Allied Health Source</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science 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>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>Natural Science Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sevcenco, Sabina</au><au>Spick, Claudio</au><au>Helbich, Thomas H.</au><au>Heinz, Gertraud</au><au>Shariat, Shahrokh F.</au><au>Klingler, Hans C.</au><au>Rauchenwald, Michael</au><au>Baltzer, Pascal A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography – a systematic review and meta-analysis</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2017-06-01</date><risdate>2017</risdate><volume>27</volume><issue>6</issue><spage>2239</spage><epage>2247</epage><pages>2239-2247</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objective To systematically review the literature on the Bosniak classification system in CT to determine its diagnostic performance to diagnose malignant cystic lesions and the prevalence of malignancy in Bosniak categories. Methods A predefined database search was performed from 1 January 1986 to 18 January 2016. Two independent reviewers extracted data on malignancy rates in Bosniak categories and several covariates using predefined criteria. Study quality was assessed using QUADAS-2. Meta-analysis included data pooling, subgroup analyses, meta-regression and investigation of publication bias. Results A total of 35 studies, which included 2,578 lesions, were investigated. Data on observer experience, inter-observer variation and technical CT standards were insufficiently reported. The pooled rate of malignancy increased from Bosniak I (3.2 %, 95 % CI 0–6.8, I 2  = 5 %) to Bosniak II (6 %, 95 % CI 2.7–9.3, I 2  = 32 %), IIF (6.7 %, 95 % CI 5–8.4, I 2  = 0 %), III (55.1 %, 95 % CI 45.7–64.5, I 2  = 89 %) and IV (91 %, 95 % CI 87.7–94.2, I 2  = 36). Several study design-related influences on malignancy rates and subsequent diagnostic performance indices were identified. Conclusion The Bosniak classification is an accurate tool with which to stratify the risk of malignancy in renal cystic lesions. Key points • The Bosniak classification can accurately rule out malignancy . • Specificity remains moderate at 74  % ( 95  % CI 64 – 82 ). • Follow - up examinations should be considered in Bosniak IIF and Bosniak II cysts . • Data on the influence of reader experience and inter - reader variability are insufficient . • Technical CT standards and publication year did not influence diagnostic performance .</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>27761710</pmid><doi>10.1007/s00330-016-4631-9</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0938-7994
ispartof European radiology, 2017-06, Vol.27 (6), p.2239-2247
issn 0938-7994
1432-1084
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5408031
source MEDLINE; Springer Nature - Complete Springer Journals
subjects Classification
Cysts
Databases, Factual
Diagnostic Radiology
Humans
Imaging
Influence
Internal Medicine
Interventional Radiology
Investigations
Kidney - pathology
Kidney Diseases, Cystic - classification
Kidney Diseases, Cystic - diagnostic imaging
Kidney Diseases, Cystic - pathology
Kidney Neoplasms - classification
Kidney Neoplasms - diagnostic imaging
Kidney Neoplasms - pathology
Medicine
Medicine & Public Health
Meta-analysis
Neuroradiology
Observer Variation
Publication Bias
Qualitative Research
Radiology
Research Design
Sensitivity and Specificity
Surgery
Surveillance
Systematic review
Tomography
Tomography, X-Ray Computed
Ultrasound
Urogenital
Urology
title Malignancy rates and diagnostic performance of the Bosniak classification for the diagnosis of cystic renal lesions in computed tomography – a systematic review and meta-analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T00%3A02%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Malignancy%20rates%20and%20diagnostic%20performance%20of%20the%20Bosniak%20classification%20for%20the%20diagnosis%20of%20cystic%20renal%20lesions%20in%20computed%20tomography%20%E2%80%93%20a%20systematic%20review%20and%20meta-analysis&rft.jtitle=European%20radiology&rft.au=Sevcenco,%20Sabina&rft.date=2017-06-01&rft.volume=27&rft.issue=6&rft.spage=2239&rft.epage=2247&rft.pages=2239-2247&rft.issn=0938-7994&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-016-4631-9&rft_dat=%3Cproquest_pubme%3E4322043051%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1892573705&rft_id=info:pmid/27761710&rfr_iscdi=true