Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer
Background Human papillomavirus (HPV)‐positive oropharyngeal squamous cell carcinoma (OPSCC) have better prognosis and treatment response compared to HPV‐negative OPSCC. This study aims to noninvasively predict HPV status of OPSCC using clinical and/or radiological variables. Methods Seventy‐seven m...
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| Veröffentlicht in: | Head & neck 2021-02, Vol.43 (2), p.485-495 |
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| creator | Bos, Paula Brekel, Michiel W. M. Gouw, Zeno A. R. Al‐Mamgani, Abrahim Waktola, Selam Aerts, Hugo J. W. L. Beets‐Tan, Regina G. H. Castelijns, Jonas A. Jasperse, Bas |
| description | Background
Human papillomavirus (HPV)‐positive oropharyngeal squamous cell carcinoma (OPSCC) have better prognosis and treatment response compared to HPV‐negative OPSCC. This study aims to noninvasively predict HPV status of OPSCC using clinical and/or radiological variables.
Methods
Seventy‐seven magnetic resonance radiomic features were extracted from T1‐weighted postcontrast images of the primary tumor of 153 patients. Logistic regression models were created to predict HPV status, determined with immunohistochemistry, based on clinical variables, radiomic features, and its combination. Model performance was evaluated using area under the curve (AUC).
Results
Model performance showed AUCs of 0.794, 0.764, and 0.871 for the clinical, radiomic, and combined models, respectively. Smoking, higher T‐classification (T3 and T4), larger, less round, and heterogeneous tumors were associated with HPV‐negative tumors.
Conclusion
Models based on clinical variables and/or radiomic tumor features can predict HPV status in OPSCC patients with good performance and can be considered when HPV testing is not available. |
| doi_str_mv | 10.1002/hed.26505 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7821378</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2476498696</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5095-b18a9a53b8d7eb91162760b1ca183384c8ff03337b7e6b5644e2504ccbfd51f73</originalsourceid><addsrcrecordid>eNp1kc9u1DAQhy1ERUvhwAsgS5w4pPW_2MkFCS2lRarUSzlbY8fZdZXYwU4W7QkegWfkSfB2S1UOnGY0_vTNWD-E3lByRglh5xvXnTFZk_oZOqGkVRXhQj3f94JXnChxjF7mfEcI4VKwF-iYc8LalvET9GM1-OAtDHgLyYMZXMYQOjzCOrjZW5xcjgGCddiXmQ_r3z9_Gciuwwk6H0dvM56S67yd8WYZIeAJJj8McYStT0vGeYa5lNjjmOK0gbQLa1f22b00vUJHPQzZvX6op-jr54vb1VV1fXP5ZfXxurI1aevK0AZaqLlpOuVMS6lkShJDLdCG80bYpu8J51wZ5aSppRCO1URYa_qupr3ip-jDwTstZnSddWFOMOgplV-lnY7g9b8vwW_0Om61ahjlqimCdw-CFL8tLs_6Li4plJs1E0qKtpGtLNT7A2VTzDm5_nEDJXqflS5Z6fusCvv26UmP5N9wCnB-AL77we3-b9JXF58Oyj_UjqKB</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2476498696</pqid></control><display><type>article</type><title>Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer</title><source>MEDLINE</source><source>Access via Wiley Online Library</source><creator>Bos, Paula ; Brekel, Michiel W. M. ; Gouw, Zeno A. R. ; Al‐Mamgani, Abrahim ; Waktola, Selam ; Aerts, Hugo J. W. L. ; Beets‐Tan, Regina G. H. ; Castelijns, Jonas A. ; Jasperse, Bas</creator><creatorcontrib>Bos, Paula ; Brekel, Michiel W. M. ; Gouw, Zeno A. R. ; Al‐Mamgani, Abrahim ; Waktola, Selam ; Aerts, Hugo J. W. L. ; Beets‐Tan, Regina G. H. ; Castelijns, Jonas A. ; Jasperse, Bas</creatorcontrib><description>Background
Human papillomavirus (HPV)‐positive oropharyngeal squamous cell carcinoma (OPSCC) have better prognosis and treatment response compared to HPV‐negative OPSCC. This study aims to noninvasively predict HPV status of OPSCC using clinical and/or radiological variables.
Methods
Seventy‐seven magnetic resonance radiomic features were extracted from T1‐weighted postcontrast images of the primary tumor of 153 patients. Logistic regression models were created to predict HPV status, determined with immunohistochemistry, based on clinical variables, radiomic features, and its combination. Model performance was evaluated using area under the curve (AUC).
Results
Model performance showed AUCs of 0.794, 0.764, and 0.871 for the clinical, radiomic, and combined models, respectively. Smoking, higher T‐classification (T3 and T4), larger, less round, and heterogeneous tumors were associated with HPV‐negative tumors.
Conclusion
Models based on clinical variables and/or radiomic tumor features can predict HPV status in OPSCC patients with good performance and can be considered when HPV testing is not available.</description><identifier>ISSN: 1043-3074</identifier><identifier>EISSN: 1097-0347</identifier><identifier>DOI: 10.1002/hed.26505</identifier><identifier>PMID: 33029923</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Alphapapillomavirus ; Head & neck cancer ; Head and neck ; head and neck cancer ; Head and Neck Neoplasms ; Human papillomavirus ; Humans ; Immunohistochemistry ; machine learning ; Magnetic Resonance Imaging ; Original ; Oropharyngeal cancer ; Oropharyngeal Neoplasms - diagnostic imaging ; Papillomaviridae ; Papillomavirus Infections - complications ; Papillomavirus Infections - diagnostic imaging ; Patients ; Prognosis ; Radiomics ; Regression analysis ; Retrospective Studies ; Squamous cell carcinoma ; Throat cancer ; Tumors</subject><ispartof>Head & neck, 2021-02, Vol.43 (2), p.485-495</ispartof><rights>2020 The Authors. Head & Neck published by Wiley Periodicals LLC.</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5095-b18a9a53b8d7eb91162760b1ca183384c8ff03337b7e6b5644e2504ccbfd51f73</citedby><cites>FETCH-LOGICAL-c5095-b18a9a53b8d7eb91162760b1ca183384c8ff03337b7e6b5644e2504ccbfd51f73</cites><orcidid>0000-0003-1577-8299 ; 0000-0002-2122-2003 ; 0000-0003-0748-6640 ; 0000-0002-6338-6743 ; 0000-0002-0194-1465</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhed.26505$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhed.26505$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33029923$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bos, Paula</creatorcontrib><creatorcontrib>Brekel, Michiel W. M.</creatorcontrib><creatorcontrib>Gouw, Zeno A. R.</creatorcontrib><creatorcontrib>Al‐Mamgani, Abrahim</creatorcontrib><creatorcontrib>Waktola, Selam</creatorcontrib><creatorcontrib>Aerts, Hugo J. W. L.</creatorcontrib><creatorcontrib>Beets‐Tan, Regina G. H.</creatorcontrib><creatorcontrib>Castelijns, Jonas A.</creatorcontrib><creatorcontrib>Jasperse, Bas</creatorcontrib><title>Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer</title><title>Head & neck</title><addtitle>Head Neck</addtitle><description>Background
Human papillomavirus (HPV)‐positive oropharyngeal squamous cell carcinoma (OPSCC) have better prognosis and treatment response compared to HPV‐negative OPSCC. This study aims to noninvasively predict HPV status of OPSCC using clinical and/or radiological variables.
Methods
Seventy‐seven magnetic resonance radiomic features were extracted from T1‐weighted postcontrast images of the primary tumor of 153 patients. Logistic regression models were created to predict HPV status, determined with immunohistochemistry, based on clinical variables, radiomic features, and its combination. Model performance was evaluated using area under the curve (AUC).
Results
Model performance showed AUCs of 0.794, 0.764, and 0.871 for the clinical, radiomic, and combined models, respectively. Smoking, higher T‐classification (T3 and T4), larger, less round, and heterogeneous tumors were associated with HPV‐negative tumors.
Conclusion
Models based on clinical variables and/or radiomic tumor features can predict HPV status in OPSCC patients with good performance and can be considered when HPV testing is not available.</description><subject>Alphapapillomavirus</subject><subject>Head & neck cancer</subject><subject>Head and neck</subject><subject>head and neck cancer</subject><subject>Head and Neck Neoplasms</subject><subject>Human papillomavirus</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>machine learning</subject><subject>Magnetic Resonance Imaging</subject><subject>Original</subject><subject>Oropharyngeal cancer</subject><subject>Oropharyngeal Neoplasms - diagnostic imaging</subject><subject>Papillomaviridae</subject><subject>Papillomavirus Infections - complications</subject><subject>Papillomavirus Infections - diagnostic imaging</subject><subject>Patients</subject><subject>Prognosis</subject><subject>Radiomics</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Squamous cell carcinoma</subject><subject>Throat cancer</subject><subject>Tumors</subject><issn>1043-3074</issn><issn>1097-0347</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNp1kc9u1DAQhy1ERUvhwAsgS5w4pPW_2MkFCS2lRarUSzlbY8fZdZXYwU4W7QkegWfkSfB2S1UOnGY0_vTNWD-E3lByRglh5xvXnTFZk_oZOqGkVRXhQj3f94JXnChxjF7mfEcI4VKwF-iYc8LalvET9GM1-OAtDHgLyYMZXMYQOjzCOrjZW5xcjgGCddiXmQ_r3z9_Gciuwwk6H0dvM56S67yd8WYZIeAJJj8McYStT0vGeYa5lNjjmOK0gbQLa1f22b00vUJHPQzZvX6op-jr54vb1VV1fXP5ZfXxurI1aevK0AZaqLlpOuVMS6lkShJDLdCG80bYpu8J51wZ5aSppRCO1URYa_qupr3ip-jDwTstZnSddWFOMOgplV-lnY7g9b8vwW_0Om61ahjlqimCdw-CFL8tLs_6Li4plJs1E0qKtpGtLNT7A2VTzDm5_nEDJXqflS5Z6fusCvv26UmP5N9wCnB-AL77we3-b9JXF58Oyj_UjqKB</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Bos, Paula</creator><creator>Brekel, Michiel W. M.</creator><creator>Gouw, Zeno A. R.</creator><creator>Al‐Mamgani, Abrahim</creator><creator>Waktola, Selam</creator><creator>Aerts, Hugo J. W. L.</creator><creator>Beets‐Tan, Regina G. H.</creator><creator>Castelijns, Jonas A.</creator><creator>Jasperse, Bas</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><scope>WIN</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>7QP</scope><scope>7TK</scope><scope>K9.</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1577-8299</orcidid><orcidid>https://orcid.org/0000-0002-2122-2003</orcidid><orcidid>https://orcid.org/0000-0003-0748-6640</orcidid><orcidid>https://orcid.org/0000-0002-6338-6743</orcidid><orcidid>https://orcid.org/0000-0002-0194-1465</orcidid></search><sort><creationdate>202102</creationdate><title>Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer</title><author>Bos, Paula ; Brekel, Michiel W. M. ; Gouw, Zeno A. R. ; Al‐Mamgani, Abrahim ; Waktola, Selam ; Aerts, Hugo J. W. L. ; Beets‐Tan, Regina G. H. ; Castelijns, Jonas A. ; Jasperse, Bas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5095-b18a9a53b8d7eb91162760b1ca183384c8ff03337b7e6b5644e2504ccbfd51f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alphapapillomavirus</topic><topic>Head & neck cancer</topic><topic>Head and neck</topic><topic>head and neck cancer</topic><topic>Head and Neck Neoplasms</topic><topic>Human papillomavirus</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>machine learning</topic><topic>Magnetic Resonance Imaging</topic><topic>Original</topic><topic>Oropharyngeal cancer</topic><topic>Oropharyngeal Neoplasms - diagnostic imaging</topic><topic>Papillomaviridae</topic><topic>Papillomavirus Infections - complications</topic><topic>Papillomavirus Infections - diagnostic imaging</topic><topic>Patients</topic><topic>Prognosis</topic><topic>Radiomics</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Squamous cell carcinoma</topic><topic>Throat cancer</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bos, Paula</creatorcontrib><creatorcontrib>Brekel, Michiel W. M.</creatorcontrib><creatorcontrib>Gouw, Zeno A. R.</creatorcontrib><creatorcontrib>Al‐Mamgani, Abrahim</creatorcontrib><creatorcontrib>Waktola, Selam</creatorcontrib><creatorcontrib>Aerts, Hugo J. W. L.</creatorcontrib><creatorcontrib>Beets‐Tan, Regina G. H.</creatorcontrib><creatorcontrib>Castelijns, Jonas A.</creatorcontrib><creatorcontrib>Jasperse, Bas</creatorcontrib><collection>Wiley Online Library (Open Access Collection)</collection><collection>Wiley Online Library (Open Access Collection)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Head & neck</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bos, Paula</au><au>Brekel, Michiel W. M.</au><au>Gouw, Zeno A. R.</au><au>Al‐Mamgani, Abrahim</au><au>Waktola, Selam</au><au>Aerts, Hugo J. W. L.</au><au>Beets‐Tan, Regina G. H.</au><au>Castelijns, Jonas A.</au><au>Jasperse, Bas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer</atitle><jtitle>Head & neck</jtitle><addtitle>Head Neck</addtitle><date>2021-02</date><risdate>2021</risdate><volume>43</volume><issue>2</issue><spage>485</spage><epage>495</epage><pages>485-495</pages><issn>1043-3074</issn><eissn>1097-0347</eissn><abstract>Background
Human papillomavirus (HPV)‐positive oropharyngeal squamous cell carcinoma (OPSCC) have better prognosis and treatment response compared to HPV‐negative OPSCC. This study aims to noninvasively predict HPV status of OPSCC using clinical and/or radiological variables.
Methods
Seventy‐seven magnetic resonance radiomic features were extracted from T1‐weighted postcontrast images of the primary tumor of 153 patients. Logistic regression models were created to predict HPV status, determined with immunohistochemistry, based on clinical variables, radiomic features, and its combination. Model performance was evaluated using area under the curve (AUC).
Results
Model performance showed AUCs of 0.794, 0.764, and 0.871 for the clinical, radiomic, and combined models, respectively. Smoking, higher T‐classification (T3 and T4), larger, less round, and heterogeneous tumors were associated with HPV‐negative tumors.
Conclusion
Models based on clinical variables and/or radiomic tumor features can predict HPV status in OPSCC patients with good performance and can be considered when HPV testing is not available.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>33029923</pmid><doi>10.1002/hed.26505</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-1577-8299</orcidid><orcidid>https://orcid.org/0000-0002-2122-2003</orcidid><orcidid>https://orcid.org/0000-0003-0748-6640</orcidid><orcidid>https://orcid.org/0000-0002-6338-6743</orcidid><orcidid>https://orcid.org/0000-0002-0194-1465</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Alphapapillomavirus Head & neck cancer Head and neck head and neck cancer Head and Neck Neoplasms Human papillomavirus Humans Immunohistochemistry machine learning Magnetic Resonance Imaging Original Oropharyngeal cancer Oropharyngeal Neoplasms - diagnostic imaging Papillomaviridae Papillomavirus Infections - complications Papillomavirus Infections - diagnostic imaging Patients Prognosis Radiomics Regression analysis Retrospective Studies Squamous cell carcinoma Throat cancer Tumors |
| title | Clinical variables and magnetic resonance imaging‐based radiomics predict human papillomavirus status of oropharyngeal cancer |
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