Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement
Objective To determine if CT axial images reconstructed at current standard of care (SOC; 2.5–3 mm) or thin (≤ 1 mm) sections affect categorization and inter-rater agreement of cystic renal masses assessed with Bosniak classification, version 2019. Methods In this retrospective single-center study,...
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description | Objective
To determine if CT axial images reconstructed at current standard of care (SOC; 2.5–3 mm) or thin (≤ 1 mm) sections affect categorization and inter-rater agreement of cystic renal masses assessed with Bosniak classification, version 2019.
Methods
In this retrospective single-center study, 3 abdominal radiologists reviewed 131 consecutive cystic renal masses from 100 patients performed with CT renal mass protocol from 2015 to 2021. Images were reviewed in two sessions: first with SOC and then the addition of thin sections. Individual and overall categorizations are reported, latter of which is based on majority opinion with 3-way discrepancies resolved by a fourth reader. Major categorization changes were defined as differences between classes I–II, IIF, or III–IV.
Results
Thin sections led to a statistically significant major category change with class II for all readers individually (
p
= 0.004–0.041; McNemar test), upgrading 10–17% of class II masses, most commonly to class IIF followed by III. Modal reason for upgrades was due to identification of additional septa followed by larger measurement of enhancing features. Masses categorized as class I, III, or IV on SOC sections were unaffected, as were identification of protrusions. Inter-rater agreements using weighted Cohen’s kappa were 0.679 for SOC and 0.691 for thin sections (both substantial).
Conclusion
Thin axial sections upgraded up to one in six class II masses to IIF or III through identification of additional septa or larger feature. Other classes, including III–IV, were unaffected. Inter-rater agreements were substantial regardless of section thickness.
Key Points
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) led to identification of additional septa but did not affect identification of protrusions
.
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) can upgrade a small proportion of cystic renal masses from class II to IIF or III when applying Bosniak classification, version 2019
.
• Inter-rater agreements were substantial regardless of section thickness
. |
doi_str_mv | 10.1007/s00330-022-08876-3 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2677573057</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2677573057</sourcerecordid><originalsourceid>FETCH-LOGICAL-c305t-bebbc5c94913b2897d0d1bb10d574a971c09bd95a783b07ccd4d3bfe97d6de963</originalsourceid><addsrcrecordid>eNp9kbmOFDEURS0EYhb4AQJkiYSAguel2mUyGLFJI0ggtry8ajxU2T121Ygh4tMx3cMiAiI_2efcZ-kS8oDBUwagnlUAIaADzjsYBrXpxC1yzKTgHYNB3v5rPiIntV4AgGZS3SVHolfQD3w4Jt_fX1-usS602nk3xbSly2fMBWdqU6Avc03RfqF-srXGMXq7xJye0CsstQ2UA9PPKY4j-oXmsbkxUfs12onWdtWQShvWNNzmEr_t9X2y3RbEGdNyj9wZ7VTx_s15Sj69fvXx7G13_uHNu7MX550X0C-dQ-d877XUTDg-aBUgMOcYhF5JqxXzoF3QvVWDcKC8DzIIN2IDNwH1RpySx4fcXcmXK9bFzLF6nCabMK_V8I1SvWq7VEMf_YNe5LWk9jvDlQQlpZBDo_iB8iXXWnA0uxJnW64NA_OzH3Pox7R-zL4fI5r08CZ6dTOG38qvQhogDkBtT2mL5c_u_8T-AOd4nH8</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2740744348</pqid></control><display><type>article</type><title>Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Tse, Justin R. ; Shen, Luyao ; Shen, Jody ; Yoon, Luke ; Kamaya, Aya</creator><creatorcontrib>Tse, Justin R. ; Shen, Luyao ; Shen, Jody ; Yoon, Luke ; Kamaya, Aya</creatorcontrib><description>Objective
To determine if CT axial images reconstructed at current standard of care (SOC; 2.5–3 mm) or thin (≤ 1 mm) sections affect categorization and inter-rater agreement of cystic renal masses assessed with Bosniak classification, version 2019.
Methods
In this retrospective single-center study, 3 abdominal radiologists reviewed 131 consecutive cystic renal masses from 100 patients performed with CT renal mass protocol from 2015 to 2021. Images were reviewed in two sessions: first with SOC and then the addition of thin sections. Individual and overall categorizations are reported, latter of which is based on majority opinion with 3-way discrepancies resolved by a fourth reader. Major categorization changes were defined as differences between classes I–II, IIF, or III–IV.
Results
Thin sections led to a statistically significant major category change with class II for all readers individually (
p
= 0.004–0.041; McNemar test), upgrading 10–17% of class II masses, most commonly to class IIF followed by III. Modal reason for upgrades was due to identification of additional septa followed by larger measurement of enhancing features. Masses categorized as class I, III, or IV on SOC sections were unaffected, as were identification of protrusions. Inter-rater agreements using weighted Cohen’s kappa were 0.679 for SOC and 0.691 for thin sections (both substantial).
Conclusion
Thin axial sections upgraded up to one in six class II masses to IIF or III through identification of additional septa or larger feature. Other classes, including III–IV, were unaffected. Inter-rater agreements were substantial regardless of section thickness.
Key Points
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) led to identification of additional septa but did not affect identification of protrusions
.
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) can upgrade a small proportion of cystic renal masses from class II to IIF or III when applying Bosniak classification, version 2019
.
• Inter-rater agreements were substantial regardless of section thickness
.</description><identifier>ISSN: 1432-1084</identifier><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-022-08876-3</identifier><identifier>PMID: 35705828</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Abdomen ; Cancer ; Classification ; Computed tomography ; Diagnostic Radiology ; Humans ; Identification ; Image reconstruction ; Imaging ; Internal Medicine ; Interventional Radiology ; Kidney ; Kidney cancer ; Kidney Diseases, Cystic ; Kidney Neoplasms ; Kidneys ; Medical imaging ; Medicine ; Medicine & Public Health ; Neuroradiology ; Patients ; Radiology ; Retrospective Studies ; Septum ; Signal processing ; Standard deviation ; Standard of care ; Statistical analysis ; Thickness ; Tomography, X-Ray Computed - methods ; Ultrasound ; Urogenital</subject><ispartof>European radiology, 2022-12, Vol.32 (12), p.8256-8265</ispartof><rights>The Author(s), under exclusive licence to European Society of Radiology 2022</rights><rights>2022. The Author(s), under exclusive licence to European Society of Radiology.</rights><rights>The Author(s), under exclusive licence to European Society of Radiology 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c305t-bebbc5c94913b2897d0d1bb10d574a971c09bd95a783b07ccd4d3bfe97d6de963</citedby><cites>FETCH-LOGICAL-c305t-bebbc5c94913b2897d0d1bb10d574a971c09bd95a783b07ccd4d3bfe97d6de963</cites><orcidid>0000-0003-2408-3763</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/s00330-022-08876-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-022-08876-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35705828$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tse, Justin R.</creatorcontrib><creatorcontrib>Shen, Luyao</creatorcontrib><creatorcontrib>Shen, Jody</creatorcontrib><creatorcontrib>Yoon, Luke</creatorcontrib><creatorcontrib>Kamaya, Aya</creatorcontrib><title>Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objective
To determine if CT axial images reconstructed at current standard of care (SOC; 2.5–3 mm) or thin (≤ 1 mm) sections affect categorization and inter-rater agreement of cystic renal masses assessed with Bosniak classification, version 2019.
Methods
In this retrospective single-center study, 3 abdominal radiologists reviewed 131 consecutive cystic renal masses from 100 patients performed with CT renal mass protocol from 2015 to 2021. Images were reviewed in two sessions: first with SOC and then the addition of thin sections. Individual and overall categorizations are reported, latter of which is based on majority opinion with 3-way discrepancies resolved by a fourth reader. Major categorization changes were defined as differences between classes I–II, IIF, or III–IV.
Results
Thin sections led to a statistically significant major category change with class II for all readers individually (
p
= 0.004–0.041; McNemar test), upgrading 10–17% of class II masses, most commonly to class IIF followed by III. Modal reason for upgrades was due to identification of additional septa followed by larger measurement of enhancing features. Masses categorized as class I, III, or IV on SOC sections were unaffected, as were identification of protrusions. Inter-rater agreements using weighted Cohen’s kappa were 0.679 for SOC and 0.691 for thin sections (both substantial).
Conclusion
Thin axial sections upgraded up to one in six class II masses to IIF or III through identification of additional septa or larger feature. Other classes, including III–IV, were unaffected. Inter-rater agreements were substantial regardless of section thickness.
Key Points
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) led to identification of additional septa but did not affect identification of protrusions
.
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) can upgrade a small proportion of cystic renal masses from class II to IIF or III when applying Bosniak classification, version 2019
.
• Inter-rater agreements were substantial regardless of section thickness
.</description><subject>Abdomen</subject><subject>Cancer</subject><subject>Classification</subject><subject>Computed tomography</subject><subject>Diagnostic Radiology</subject><subject>Humans</subject><subject>Identification</subject><subject>Image reconstruction</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Kidney</subject><subject>Kidney cancer</subject><subject>Kidney Diseases, Cystic</subject><subject>Kidney Neoplasms</subject><subject>Kidneys</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neuroradiology</subject><subject>Patients</subject><subject>Radiology</subject><subject>Retrospective Studies</subject><subject>Septum</subject><subject>Signal processing</subject><subject>Standard deviation</subject><subject>Standard of care</subject><subject>Statistical analysis</subject><subject>Thickness</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasound</subject><subject>Urogenital</subject><issn>1432-1084</issn><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><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>eNp9kbmOFDEURS0EYhb4AQJkiYSAguel2mUyGLFJI0ggtry8ajxU2T121Ygh4tMx3cMiAiI_2efcZ-kS8oDBUwagnlUAIaADzjsYBrXpxC1yzKTgHYNB3v5rPiIntV4AgGZS3SVHolfQD3w4Jt_fX1-usS602nk3xbSly2fMBWdqU6Avc03RfqF-srXGMXq7xJye0CsstQ2UA9PPKY4j-oXmsbkxUfs12onWdtWQShvWNNzmEr_t9X2y3RbEGdNyj9wZ7VTx_s15Sj69fvXx7G13_uHNu7MX550X0C-dQ-d877XUTDg-aBUgMOcYhF5JqxXzoF3QvVWDcKC8DzIIN2IDNwH1RpySx4fcXcmXK9bFzLF6nCabMK_V8I1SvWq7VEMf_YNe5LWk9jvDlQQlpZBDo_iB8iXXWnA0uxJnW64NA_OzH3Pox7R-zL4fI5r08CZ6dTOG38qvQhogDkBtT2mL5c_u_8T-AOd4nH8</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Tse, Justin R.</creator><creator>Shen, Luyao</creator><creator>Shen, Jody</creator><creator>Yoon, Luke</creator><creator>Kamaya, Aya</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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><orcidid>https://orcid.org/0000-0003-2408-3763</orcidid></search><sort><creationdate>20221201</creationdate><title>Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement</title><author>Tse, Justin R. ; Shen, Luyao ; Shen, Jody ; Yoon, Luke ; Kamaya, Aya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c305t-bebbc5c94913b2897d0d1bb10d574a971c09bd95a783b07ccd4d3bfe97d6de963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Abdomen</topic><topic>Cancer</topic><topic>Classification</topic><topic>Computed tomography</topic><topic>Diagnostic Radiology</topic><topic>Humans</topic><topic>Identification</topic><topic>Image reconstruction</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Kidney</topic><topic>Kidney cancer</topic><topic>Kidney Diseases, Cystic</topic><topic>Kidney Neoplasms</topic><topic>Kidneys</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Neuroradiology</topic><topic>Patients</topic><topic>Radiology</topic><topic>Retrospective Studies</topic><topic>Septum</topic><topic>Signal processing</topic><topic>Standard deviation</topic><topic>Standard of care</topic><topic>Statistical analysis</topic><topic>Thickness</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasound</topic><topic>Urogenital</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tse, Justin R.</creatorcontrib><creatorcontrib>Shen, Luyao</creatorcontrib><creatorcontrib>Shen, Jody</creatorcontrib><creatorcontrib>Yoon, Luke</creatorcontrib><creatorcontrib>Kamaya, Aya</creatorcontrib><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>Nursing & Allied Health Database</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>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 & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</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 & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & 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><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tse, Justin R.</au><au>Shen, Luyao</au><au>Shen, Jody</au><au>Yoon, Luke</au><au>Kamaya, Aya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>32</volume><issue>12</issue><spage>8256</spage><epage>8265</epage><pages>8256-8265</pages><issn>1432-1084</issn><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objective
To determine if CT axial images reconstructed at current standard of care (SOC; 2.5–3 mm) or thin (≤ 1 mm) sections affect categorization and inter-rater agreement of cystic renal masses assessed with Bosniak classification, version 2019.
Methods
In this retrospective single-center study, 3 abdominal radiologists reviewed 131 consecutive cystic renal masses from 100 patients performed with CT renal mass protocol from 2015 to 2021. Images were reviewed in two sessions: first with SOC and then the addition of thin sections. Individual and overall categorizations are reported, latter of which is based on majority opinion with 3-way discrepancies resolved by a fourth reader. Major categorization changes were defined as differences between classes I–II, IIF, or III–IV.
Results
Thin sections led to a statistically significant major category change with class II for all readers individually (
p
= 0.004–0.041; McNemar test), upgrading 10–17% of class II masses, most commonly to class IIF followed by III. Modal reason for upgrades was due to identification of additional septa followed by larger measurement of enhancing features. Masses categorized as class I, III, or IV on SOC sections were unaffected, as were identification of protrusions. Inter-rater agreements using weighted Cohen’s kappa were 0.679 for SOC and 0.691 for thin sections (both substantial).
Conclusion
Thin axial sections upgraded up to one in six class II masses to IIF or III through identification of additional septa or larger feature. Other classes, including III–IV, were unaffected. Inter-rater agreements were substantial regardless of section thickness.
Key Points
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) led to identification of additional septa but did not affect identification of protrusions
.
• Thin axial sections (≤ 1 mm) compared to standard of care sections (2.5–3 mm) can upgrade a small proportion of cystic renal masses from class II to IIF or III when applying Bosniak classification, version 2019
.
• Inter-rater agreements were substantial regardless of section thickness
.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35705828</pmid><doi>10.1007/s00330-022-08876-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-2408-3763</orcidid></addata></record> |
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subjects | Abdomen Cancer Classification Computed tomography Diagnostic Radiology Humans Identification Image reconstruction Imaging Internal Medicine Interventional Radiology Kidney Kidney cancer Kidney Diseases, Cystic Kidney Neoplasms Kidneys Medical imaging Medicine Medicine & Public Health Neuroradiology Patients Radiology Retrospective Studies Septum Signal processing Standard deviation Standard of care Statistical analysis Thickness Tomography, X-Ray Computed - methods Ultrasound Urogenital |
title | Nyquist sampling theorem and Bosniak classification, version 2019: effect of thin axial sections on categorization and agreement |
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