Evaluation of molecular subtypes of breast cancer using MRI BI-RADS Lexicon
Background Molecular subtyping of breast cancer is one of the prognostic factors which play a very important role in managing patient’s treatment plan. The MRI BI-RADS Lexicon is initially used to categorize breast lesions but recent attempts were employed to differentiate breast lesions based on th...
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| Veröffentlicht in: | Egyptian Journal of Radiology and Nuclear Medicine 2024-12, Vol.55 (1), p.52-16, Article 52 |
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| description | Background
Molecular subtyping of breast cancer is one of the prognostic factors which play a very important role in managing patient’s treatment plan. The MRI BI-RADS Lexicon is initially used to categorize breast lesions but recent attempts were employed to differentiate breast lesions based on their molecular subtypes using this lexicon. The study aimed to evaluate of the role of the MRI BI-RADS Lexicon in classifying different molecular subtypes of breast cancer especially after coupling with Kaiser scoring system.
Methods
This retrospective study was conducted on 147 patients with 170 malignant breast lesions. They underwent Pre-contrast and a Dynamic contrast MRI study. Retrospective interpretation of the morphological and dynamic criteria of the breast lesions based on the MRI BI-RADS criteria was carried out followed by reassessment of the same lesions by Kaiser scoring. Resulting data were correlated with histopathological and immunological characterization.
Results
Luminal subtypes were more frequently encountered as mass lesions, contrary to the Non-Luminal lesions which showed a more frequent non-mass presentation value (
P
0.002). The shape, margin, internal enhancement pattern of the mass lesions showed significant variability between different molecular subtypes (
P
|
| doi_str_mv | 10.1186/s43055-024-01206-1 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_proquest_journals_2942013085</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A785763558</galeid><doaj_id>oai_doaj_org_article_41db705344034be8a0b33bc33383cc5b</doaj_id><sourcerecordid>A785763558</sourcerecordid><originalsourceid>FETCH-LOGICAL-c447t-b7d6bb104c8e31958c8f4d30987f0ea74e4999da037080b01026146db4b73a753</originalsourceid><addsrcrecordid>eNp9kUFr3DAQhU1poSHJH-jJ0LPTkWdkycdtmrZLtgTS5CwkWV60eK2tZJfk31cbl6aFEukg8XjfY6RXFO8YXDAmmw-JEDivoKYKWA1NxV4VJzW0UJFo6td_3d8W5yntIC8CYA2dFNdXP_Uw68mHsQx9uQ-Ds_OgY5lmMz0eXDqqJjqdptLq0bpYzsmP2_Lb7br8uK5uV5--lxv34G0Yz4o3vR6SO_99nhb3n6_uLr9Wm5sv68vVprJEYqqM6BpjGJCVDlnLpZU9dQitFD04LchR27adBhQgwQCDumHUdIaMQC04nhbrJbcLeqcO0e91fFRBe_UkhLhVOk7eDk4R64wAjkSAZJzUYBCNRUSJ1nKTs94vWYcYfswuTWoX5jjm8VXdUg0MQfJn11bnUD_2YYra7n2yaiUkFw1yLrPr4j-uvDu3P_6P633W_wHqBbAxpBRd_-cxDNSxWrVUq3K16qlaxTKEC5Syedy6-DzxC9QvEMOhZA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2942013085</pqid></control><display><type>article</type><title>Evaluation of molecular subtypes of breast cancer using MRI BI-RADS Lexicon</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Springer Nature OA Free Journals</source><creator>Shokeir, Farah A. ; Soliman, Nermin ; Khater, Ashraf ; Bayoumi, Dalia</creator><creatorcontrib>Shokeir, Farah A. ; Soliman, Nermin ; Khater, Ashraf ; Bayoumi, Dalia</creatorcontrib><description>Background
Molecular subtyping of breast cancer is one of the prognostic factors which play a very important role in managing patient’s treatment plan. The MRI BI-RADS Lexicon is initially used to categorize breast lesions but recent attempts were employed to differentiate breast lesions based on their molecular subtypes using this lexicon. The study aimed to evaluate of the role of the MRI BI-RADS Lexicon in classifying different molecular subtypes of breast cancer especially after coupling with Kaiser scoring system.
Methods
This retrospective study was conducted on 147 patients with 170 malignant breast lesions. They underwent Pre-contrast and a Dynamic contrast MRI study. Retrospective interpretation of the morphological and dynamic criteria of the breast lesions based on the MRI BI-RADS criteria was carried out followed by reassessment of the same lesions by Kaiser scoring. Resulting data were correlated with histopathological and immunological characterization.
Results
Luminal subtypes were more frequently encountered as mass lesions, contrary to the Non-Luminal lesions which showed a more frequent non-mass presentation value (
P
0.002). The shape, margin, internal enhancement pattern of the mass lesions showed significant variability between different molecular subtypes (
P
< 0.001, < 0.001, < 0.001) respectively. On Dynamic study, Plateau curve was a more evident pattern with Luminal lesions contrasting with their Non-Luminal counterparts which showed a washout pattern more frequently (
P
0.0004). Most of luminal A cancers were presented as mass lesions with rim enhancement and categorized as BIRADS 4 while most of Her2neu positive cancers (including luminal B entity) were presented as non-mass lesions with irregular shape and dark internal septations and categorized as BIRADS 5 with statistically significant values (
P
< 0.001). Coupling with Kaiser scoring system improved the categorization of non-luminal tumors as BIRADS 5 lesions especially the aggressive TN cancers.
Conclusions
MRI-BIRADS lexicon can be of great value in the non-invasive molecular characterization of breast cancer. Kaiser score improved the categorization of TN cancers which were upgraded to BIRADS 5 category.</description><identifier>ISSN: 2090-4762</identifier><identifier>ISSN: 0378-603X</identifier><identifier>EISSN: 2090-4762</identifier><identifier>DOI: 10.1186/s43055-024-01206-1</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>ACR BIRADS ; BIRADS lexicon ; Breast cancer ; Breast cancer molecular subtypes ; Cancer ; Cancer therapies ; Care and treatment ; Imaging ; Interventional Radiology ; Magnetic resonance imaging ; Mammography ; Medicine ; Medicine & Public Health ; Molecular subtypes ; Morphology ; Nuclear Medicine ; Oncology, Experimental ; Prognosis ; Radiology ; Software</subject><ispartof>Egyptian Journal of Radiology and Nuclear Medicine, 2024-12, Vol.55 (1), p.52-16, Article 52</ispartof><rights>The Author(s) 2024</rights><rights>COPYRIGHT 2024 Springer</rights><rights>The Author(s) 2024. This work 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><cites>FETCH-LOGICAL-c447t-b7d6bb104c8e31958c8f4d30987f0ea74e4999da037080b01026146db4b73a753</cites><orcidid>0000-0002-5552-8182</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27903,27904</link.rule.ids></links><search><creatorcontrib>Shokeir, Farah A.</creatorcontrib><creatorcontrib>Soliman, Nermin</creatorcontrib><creatorcontrib>Khater, Ashraf</creatorcontrib><creatorcontrib>Bayoumi, Dalia</creatorcontrib><title>Evaluation of molecular subtypes of breast cancer using MRI BI-RADS Lexicon</title><title>Egyptian Journal of Radiology and Nuclear Medicine</title><addtitle>Egypt J Radiol Nucl Med</addtitle><description>Background
Molecular subtyping of breast cancer is one of the prognostic factors which play a very important role in managing patient’s treatment plan. The MRI BI-RADS Lexicon is initially used to categorize breast lesions but recent attempts were employed to differentiate breast lesions based on their molecular subtypes using this lexicon. The study aimed to evaluate of the role of the MRI BI-RADS Lexicon in classifying different molecular subtypes of breast cancer especially after coupling with Kaiser scoring system.
Methods
This retrospective study was conducted on 147 patients with 170 malignant breast lesions. They underwent Pre-contrast and a Dynamic contrast MRI study. Retrospective interpretation of the morphological and dynamic criteria of the breast lesions based on the MRI BI-RADS criteria was carried out followed by reassessment of the same lesions by Kaiser scoring. Resulting data were correlated with histopathological and immunological characterization.
Results
Luminal subtypes were more frequently encountered as mass lesions, contrary to the Non-Luminal lesions which showed a more frequent non-mass presentation value (
P
0.002). The shape, margin, internal enhancement pattern of the mass lesions showed significant variability between different molecular subtypes (
P
< 0.001, < 0.001, < 0.001) respectively. On Dynamic study, Plateau curve was a more evident pattern with Luminal lesions contrasting with their Non-Luminal counterparts which showed a washout pattern more frequently (
P
0.0004). Most of luminal A cancers were presented as mass lesions with rim enhancement and categorized as BIRADS 4 while most of Her2neu positive cancers (including luminal B entity) were presented as non-mass lesions with irregular shape and dark internal septations and categorized as BIRADS 5 with statistically significant values (
P
< 0.001). Coupling with Kaiser scoring system improved the categorization of non-luminal tumors as BIRADS 5 lesions especially the aggressive TN cancers.
Conclusions
MRI-BIRADS lexicon can be of great value in the non-invasive molecular characterization of breast cancer. Kaiser score improved the categorization of TN cancers which were upgraded to BIRADS 5 category.</description><subject>ACR BIRADS</subject><subject>BIRADS lexicon</subject><subject>Breast cancer</subject><subject>Breast cancer molecular subtypes</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Imaging</subject><subject>Interventional Radiology</subject><subject>Magnetic resonance imaging</subject><subject>Mammography</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Molecular subtypes</subject><subject>Morphology</subject><subject>Nuclear Medicine</subject><subject>Oncology, Experimental</subject><subject>Prognosis</subject><subject>Radiology</subject><subject>Software</subject><issn>2090-4762</issn><issn>0378-603X</issn><issn>2090-4762</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNp9kUFr3DAQhU1poSHJH-jJ0LPTkWdkycdtmrZLtgTS5CwkWV60eK2tZJfk31cbl6aFEukg8XjfY6RXFO8YXDAmmw-JEDivoKYKWA1NxV4VJzW0UJFo6td_3d8W5yntIC8CYA2dFNdXP_Uw68mHsQx9uQ-Ds_OgY5lmMz0eXDqqJjqdptLq0bpYzsmP2_Lb7br8uK5uV5--lxv34G0Yz4o3vR6SO_99nhb3n6_uLr9Wm5sv68vVprJEYqqM6BpjGJCVDlnLpZU9dQitFD04LchR27adBhQgwQCDumHUdIaMQC04nhbrJbcLeqcO0e91fFRBe_UkhLhVOk7eDk4R64wAjkSAZJzUYBCNRUSJ1nKTs94vWYcYfswuTWoX5jjm8VXdUg0MQfJn11bnUD_2YYra7n2yaiUkFw1yLrPr4j-uvDu3P_6P633W_wHqBbAxpBRd_-cxDNSxWrVUq3K16qlaxTKEC5Syedy6-DzxC9QvEMOhZA</recordid><startdate>20241201</startdate><enddate>20241201</enddate><creator>Shokeir, Farah A.</creator><creator>Soliman, Nermin</creator><creator>Khater, Ashraf</creator><creator>Bayoumi, Dalia</creator><general>Springer Berlin Heidelberg</general><general>Springer</general><general>Springer Nature B.V</general><general>SpringerOpen</general><scope>C6C</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5552-8182</orcidid></search><sort><creationdate>20241201</creationdate><title>Evaluation of molecular subtypes of breast cancer using MRI BI-RADS Lexicon</title><author>Shokeir, Farah A. ; Soliman, Nermin ; Khater, Ashraf ; Bayoumi, Dalia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-b7d6bb104c8e31958c8f4d30987f0ea74e4999da037080b01026146db4b73a753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>ACR BIRADS</topic><topic>BIRADS lexicon</topic><topic>Breast cancer</topic><topic>Breast cancer molecular subtypes</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Care and treatment</topic><topic>Imaging</topic><topic>Interventional Radiology</topic><topic>Magnetic resonance imaging</topic><topic>Mammography</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Molecular subtypes</topic><topic>Morphology</topic><topic>Nuclear Medicine</topic><topic>Oncology, Experimental</topic><topic>Prognosis</topic><topic>Radiology</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shokeir, Farah A.</creatorcontrib><creatorcontrib>Soliman, Nermin</creatorcontrib><creatorcontrib>Khater, Ashraf</creatorcontrib><creatorcontrib>Bayoumi, Dalia</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content 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>DOAJ Directory of Open Access Journals</collection><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shokeir, Farah A.</au><au>Soliman, Nermin</au><au>Khater, Ashraf</au><au>Bayoumi, Dalia</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of molecular subtypes of breast cancer using MRI BI-RADS Lexicon</atitle><jtitle>Egyptian Journal of Radiology and Nuclear Medicine</jtitle><stitle>Egypt J Radiol Nucl Med</stitle><date>2024-12-01</date><risdate>2024</risdate><volume>55</volume><issue>1</issue><spage>52</spage><epage>16</epage><pages>52-16</pages><artnum>52</artnum><issn>2090-4762</issn><issn>0378-603X</issn><eissn>2090-4762</eissn><abstract>Background
Molecular subtyping of breast cancer is one of the prognostic factors which play a very important role in managing patient’s treatment plan. The MRI BI-RADS Lexicon is initially used to categorize breast lesions but recent attempts were employed to differentiate breast lesions based on their molecular subtypes using this lexicon. The study aimed to evaluate of the role of the MRI BI-RADS Lexicon in classifying different molecular subtypes of breast cancer especially after coupling with Kaiser scoring system.
Methods
This retrospective study was conducted on 147 patients with 170 malignant breast lesions. They underwent Pre-contrast and a Dynamic contrast MRI study. Retrospective interpretation of the morphological and dynamic criteria of the breast lesions based on the MRI BI-RADS criteria was carried out followed by reassessment of the same lesions by Kaiser scoring. Resulting data were correlated with histopathological and immunological characterization.
Results
Luminal subtypes were more frequently encountered as mass lesions, contrary to the Non-Luminal lesions which showed a more frequent non-mass presentation value (
P
0.002). The shape, margin, internal enhancement pattern of the mass lesions showed significant variability between different molecular subtypes (
P
< 0.001, < 0.001, < 0.001) respectively. On Dynamic study, Plateau curve was a more evident pattern with Luminal lesions contrasting with their Non-Luminal counterparts which showed a washout pattern more frequently (
P
0.0004). Most of luminal A cancers were presented as mass lesions with rim enhancement and categorized as BIRADS 4 while most of Her2neu positive cancers (including luminal B entity) were presented as non-mass lesions with irregular shape and dark internal septations and categorized as BIRADS 5 with statistically significant values (
P
< 0.001). Coupling with Kaiser scoring system improved the categorization of non-luminal tumors as BIRADS 5 lesions especially the aggressive TN cancers.
Conclusions
MRI-BIRADS lexicon can be of great value in the non-invasive molecular characterization of breast cancer. Kaiser score improved the categorization of TN cancers which were upgraded to BIRADS 5 category.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1186/s43055-024-01206-1</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-5552-8182</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | ACR BIRADS BIRADS lexicon Breast cancer Breast cancer molecular subtypes Cancer Cancer therapies Care and treatment Imaging Interventional Radiology Magnetic resonance imaging Mammography Medicine Medicine & Public Health Molecular subtypes Morphology Nuclear Medicine Oncology, Experimental Prognosis Radiology Software |
| title | Evaluation of molecular subtypes of breast cancer using MRI BI-RADS Lexicon |
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