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Differentiating BRAF V600E- and RAS-like alterations in encapsulated follicular patterned tumors through histologic features: a validation study
Differentiating BRAF V600E- and RAS -altered encapsulated follicular-patterned thyroid tumors based on morphology remains challenging. This study aimed to validate an 8-score scale nuclear scoring system and investigate the importance of nuclear pseudoinclusions (NPIs) in aiding this differentiation...
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Published in: | Virchows Archiv : an international journal of pathology 2024-04, Vol.484 (4), p.645-656 |
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creator | Kim, Chankyung Agarwal, Shipra Bychkov, Andrey Hang, Jen-Fan Harahap, Agnes Stephanie Hirokawa, Mitsuyoshi Kakudo, Kennichi Keelawat, Somboon Liu, Chih-Yi Liu, Zhiyan Nguyen, Truong Phan-Xuan Rana, Chanchal Vuong, Huy Gia Zhu, Yun Jung, Chan Kwon |
description | Differentiating
BRAF
V600E- and
RAS
-altered encapsulated follicular-patterned thyroid tumors based on morphology remains challenging. This study aimed to validate an 8-score scale nuclear scoring system and investigate the importance of nuclear pseudoinclusions (NPIs) in aiding this differentiation. A cohort of 44 encapsulated follicular-patterned tumors with varying degrees of nuclear atypia and confirmed
BRAF
V600E or
RAS
alterations was studied. Nuclear parameters (area, diameter, and optical density) were analyzed using a deep learning model. Twelve pathologists from eight Asian countries visually assessed 22 cases after excluding the cases with any papillae. Eight nuclear features were applied, yielding a semi-quantitative score from 0 to 24. A threshold score of 14 was used to distinguish between
RAS
- and
BRAF
V600E-altered tumors.
BRAF
V600E-altered tumors typically demonstrated higher nuclear scores and notable morphometric alterations. Specifically, the nuclear area and diameter were significantly larger, and nuclear optical density was much lower compared to
RAS
-altered tumors. Observer accuracy varied, with two pathologists correctly identifying genotype of all cases. Observers were categorized into proficiency groups, with the highest group maintaining consistent accuracy across both evaluation methods. The lower group showed a significant improvement in accuracy upon utilizing the 8-score scale nuclear scoring system, with notably increased sensitivity and negative predictive value in
BRAF
V600E tumor detection.
BRAF
V600E-altered tumors had higher median total nuclear scores. Detailed reevaluation revealed NPIs in all
BRAF
V600E-altered cases, but in only 2 of 14
RAS
-altered cases. These results could significantly assist pathologists, particularly those not specializing in thyroid pathology, in making a more accurate diagnosis. |
doi_str_mv | 10.1007/s00428-024-03761-4 |
format | article |
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BRAF
V600E- and
RAS
-altered encapsulated follicular-patterned thyroid tumors based on morphology remains challenging. This study aimed to validate an 8-score scale nuclear scoring system and investigate the importance of nuclear pseudoinclusions (NPIs) in aiding this differentiation. A cohort of 44 encapsulated follicular-patterned tumors with varying degrees of nuclear atypia and confirmed
BRAF
V600E or
RAS
alterations was studied. Nuclear parameters (area, diameter, and optical density) were analyzed using a deep learning model. Twelve pathologists from eight Asian countries visually assessed 22 cases after excluding the cases with any papillae. Eight nuclear features were applied, yielding a semi-quantitative score from 0 to 24. A threshold score of 14 was used to distinguish between
RAS
- and
BRAF
V600E-altered tumors.
BRAF
V600E-altered tumors typically demonstrated higher nuclear scores and notable morphometric alterations. Specifically, the nuclear area and diameter were significantly larger, and nuclear optical density was much lower compared to
RAS
-altered tumors. Observer accuracy varied, with two pathologists correctly identifying genotype of all cases. Observers were categorized into proficiency groups, with the highest group maintaining consistent accuracy across both evaluation methods. The lower group showed a significant improvement in accuracy upon utilizing the 8-score scale nuclear scoring system, with notably increased sensitivity and negative predictive value in
BRAF
V600E tumor detection.
BRAF
V600E-altered tumors had higher median total nuclear scores. Detailed reevaluation revealed NPIs in all
BRAF
V600E-altered cases, but in only 2 of 14
RAS
-altered cases. These results could significantly assist pathologists, particularly those not specializing in thyroid pathology, in making a more accurate diagnosis.</description><identifier>ISSN: 0945-6317</identifier><identifier>EISSN: 1432-2307</identifier><identifier>DOI: 10.1007/s00428-024-03761-4</identifier><identifier>PMID: 38366204</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Accuracy ; Deep learning ; Encapsulation ; Genotypes ; Medicine ; Medicine & Public Health ; Optical density ; Original Article ; Papillae ; Pathology ; Thyroid ; Thyroid gland ; Tumors</subject><ispartof>Virchows Archiv : an international journal of pathology, 2024-04, Vol.484 (4), p.645-656</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) 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><rights>2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-582eadf1f5b52ae0daeecc39b4a1c198f7ea3a9135b18cea6fc66a34590c32f83</citedby><cites>FETCH-LOGICAL-c375t-582eadf1f5b52ae0daeecc39b4a1c198f7ea3a9135b18cea6fc66a34590c32f83</cites><orcidid>0000-0001-9668-7756 ; 0000-0002-4203-5696 ; 0000-0002-0347-7264 ; 0000-0001-6054-0605 ; 0000-0002-1783-7689 ; 0000-0001-7037-4444 ; 0000-0001-5558-7142 ; 0000-0001-6213-765X ; 0000-0002-4180-7914 ; 0000-0002-7867-5249 ; 0000-0001-8920-7873 ; 0000-0002-3996-8452 ; 0000-0001-6843-3708 ; 0000-0003-4299-2784 ; 0000-0001-6965-5863</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38366204$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Chankyung</creatorcontrib><creatorcontrib>Agarwal, Shipra</creatorcontrib><creatorcontrib>Bychkov, Andrey</creatorcontrib><creatorcontrib>Hang, Jen-Fan</creatorcontrib><creatorcontrib>Harahap, Agnes Stephanie</creatorcontrib><creatorcontrib>Hirokawa, Mitsuyoshi</creatorcontrib><creatorcontrib>Kakudo, Kennichi</creatorcontrib><creatorcontrib>Keelawat, Somboon</creatorcontrib><creatorcontrib>Liu, Chih-Yi</creatorcontrib><creatorcontrib>Liu, Zhiyan</creatorcontrib><creatorcontrib>Nguyen, Truong Phan-Xuan</creatorcontrib><creatorcontrib>Rana, Chanchal</creatorcontrib><creatorcontrib>Vuong, Huy Gia</creatorcontrib><creatorcontrib>Zhu, Yun</creatorcontrib><creatorcontrib>Jung, Chan Kwon</creatorcontrib><title>Differentiating BRAF V600E- and RAS-like alterations in encapsulated follicular patterned tumors through histologic features: a validation study</title><title>Virchows Archiv : an international journal of pathology</title><addtitle>Virchows Arch</addtitle><addtitle>Virchows Arch</addtitle><description>Differentiating
BRAF
V600E- and
RAS
-altered encapsulated follicular-patterned thyroid tumors based on morphology remains challenging. This study aimed to validate an 8-score scale nuclear scoring system and investigate the importance of nuclear pseudoinclusions (NPIs) in aiding this differentiation. A cohort of 44 encapsulated follicular-patterned tumors with varying degrees of nuclear atypia and confirmed
BRAF
V600E or
RAS
alterations was studied. Nuclear parameters (area, diameter, and optical density) were analyzed using a deep learning model. Twelve pathologists from eight Asian countries visually assessed 22 cases after excluding the cases with any papillae. Eight nuclear features were applied, yielding a semi-quantitative score from 0 to 24. A threshold score of 14 was used to distinguish between
RAS
- and
BRAF
V600E-altered tumors.
BRAF
V600E-altered tumors typically demonstrated higher nuclear scores and notable morphometric alterations. Specifically, the nuclear area and diameter were significantly larger, and nuclear optical density was much lower compared to
RAS
-altered tumors. Observer accuracy varied, with two pathologists correctly identifying genotype of all cases. Observers were categorized into proficiency groups, with the highest group maintaining consistent accuracy across both evaluation methods. The lower group showed a significant improvement in accuracy upon utilizing the 8-score scale nuclear scoring system, with notably increased sensitivity and negative predictive value in
BRAF
V600E tumor detection.
BRAF
V600E-altered tumors had higher median total nuclear scores. Detailed reevaluation revealed NPIs in all
BRAF
V600E-altered cases, but in only 2 of 14
RAS
-altered cases. These results could significantly assist pathologists, particularly those not specializing in thyroid pathology, in making a more accurate diagnosis.</description><subject>Accuracy</subject><subject>Deep learning</subject><subject>Encapsulation</subject><subject>Genotypes</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Optical density</subject><subject>Original Article</subject><subject>Papillae</subject><subject>Pathology</subject><subject>Thyroid</subject><subject>Thyroid gland</subject><subject>Tumors</subject><issn>0945-6317</issn><issn>1432-2307</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kUtrlDEUhoModqz-ARcScOMmmtt3c1drq0JBqJdtOJPvZCY1k4xJPqH_wp9s2qkKLlyFJM_7ngMPIU8Ffyk4H14VzrUcGZeacTX0gul7ZCW0kkwqPtwnKz7pjvVKDEfkUSlXnEsxiv4hOVKj6nvJ9Yr8fOudw4yxeqg-buiby5Nz-rXn_IxRiDO9PPnEgv-GFELF3JgUC_WRYrSwL0uAijN1KQRv2yXTPdTGxfZYl13KhdZtTstmS7e-1BTSxlvqEOqSsbymQH9A8PNtLS11ma8fkwcOQsEnd-cx-XJ-9vn0Pbv4-O7D6ckFs2roKutGiTA74bp1JwH5DIjWqmmtQVgxjW5AUDAJ1a3FaBF6Z_selO4mbpV0ozomLw69-5y-L1iq2fliMQSImJZi5CRHqfXQ3aDP_0Gv0pJj284orqdOdVKqRskDZXMqJaMz--x3kK-N4ObGlzn4Ms2XufVldAs9u6te1juc_0R-C2qAOgClfcUN5r-z_1P7Cz64opQ</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Kim, Chankyung</creator><creator>Agarwal, Shipra</creator><creator>Bychkov, Andrey</creator><creator>Hang, Jen-Fan</creator><creator>Harahap, Agnes Stephanie</creator><creator>Hirokawa, Mitsuyoshi</creator><creator>Kakudo, Kennichi</creator><creator>Keelawat, Somboon</creator><creator>Liu, Chih-Yi</creator><creator>Liu, Zhiyan</creator><creator>Nguyen, Truong Phan-Xuan</creator><creator>Rana, Chanchal</creator><creator>Vuong, Huy Gia</creator><creator>Zhu, Yun</creator><creator>Jung, Chan Kwon</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>7T7</scope><scope>7TM</scope><scope>7TO</scope><scope>7U7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9668-7756</orcidid><orcidid>https://orcid.org/0000-0002-4203-5696</orcidid><orcidid>https://orcid.org/0000-0002-0347-7264</orcidid><orcidid>https://orcid.org/0000-0001-6054-0605</orcidid><orcidid>https://orcid.org/0000-0002-1783-7689</orcidid><orcidid>https://orcid.org/0000-0001-7037-4444</orcidid><orcidid>https://orcid.org/0000-0001-5558-7142</orcidid><orcidid>https://orcid.org/0000-0001-6213-765X</orcidid><orcidid>https://orcid.org/0000-0002-4180-7914</orcidid><orcidid>https://orcid.org/0000-0002-7867-5249</orcidid><orcidid>https://orcid.org/0000-0001-8920-7873</orcidid><orcidid>https://orcid.org/0000-0002-3996-8452</orcidid><orcidid>https://orcid.org/0000-0001-6843-3708</orcidid><orcidid>https://orcid.org/0000-0003-4299-2784</orcidid><orcidid>https://orcid.org/0000-0001-6965-5863</orcidid></search><sort><creationdate>20240401</creationdate><title>Differentiating BRAF V600E- and RAS-like alterations in encapsulated follicular patterned tumors through histologic features: a validation study</title><author>Kim, Chankyung ; Agarwal, Shipra ; Bychkov, Andrey ; Hang, Jen-Fan ; Harahap, Agnes Stephanie ; Hirokawa, Mitsuyoshi ; Kakudo, Kennichi ; Keelawat, Somboon ; Liu, Chih-Yi ; Liu, Zhiyan ; Nguyen, Truong Phan-Xuan ; Rana, Chanchal ; Vuong, Huy Gia ; Zhu, Yun ; Jung, Chan Kwon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-582eadf1f5b52ae0daeecc39b4a1c198f7ea3a9135b18cea6fc66a34590c32f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Accuracy</topic><topic>Deep learning</topic><topic>Encapsulation</topic><topic>Genotypes</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Optical density</topic><topic>Original Article</topic><topic>Papillae</topic><topic>Pathology</topic><topic>Thyroid</topic><topic>Thyroid gland</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Chankyung</creatorcontrib><creatorcontrib>Agarwal, Shipra</creatorcontrib><creatorcontrib>Bychkov, Andrey</creatorcontrib><creatorcontrib>Hang, Jen-Fan</creatorcontrib><creatorcontrib>Harahap, Agnes Stephanie</creatorcontrib><creatorcontrib>Hirokawa, Mitsuyoshi</creatorcontrib><creatorcontrib>Kakudo, Kennichi</creatorcontrib><creatorcontrib>Keelawat, Somboon</creatorcontrib><creatorcontrib>Liu, Chih-Yi</creatorcontrib><creatorcontrib>Liu, Zhiyan</creatorcontrib><creatorcontrib>Nguyen, Truong Phan-Xuan</creatorcontrib><creatorcontrib>Rana, Chanchal</creatorcontrib><creatorcontrib>Vuong, Huy Gia</creatorcontrib><creatorcontrib>Zhu, Yun</creatorcontrib><creatorcontrib>Jung, Chan Kwon</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Virchows Archiv : an international journal of pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Chankyung</au><au>Agarwal, Shipra</au><au>Bychkov, Andrey</au><au>Hang, Jen-Fan</au><au>Harahap, Agnes Stephanie</au><au>Hirokawa, Mitsuyoshi</au><au>Kakudo, Kennichi</au><au>Keelawat, Somboon</au><au>Liu, Chih-Yi</au><au>Liu, Zhiyan</au><au>Nguyen, Truong Phan-Xuan</au><au>Rana, Chanchal</au><au>Vuong, Huy Gia</au><au>Zhu, Yun</au><au>Jung, Chan Kwon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differentiating BRAF V600E- and RAS-like alterations in encapsulated follicular patterned tumors through histologic features: a validation study</atitle><jtitle>Virchows Archiv : an international journal of pathology</jtitle><stitle>Virchows Arch</stitle><addtitle>Virchows Arch</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>484</volume><issue>4</issue><spage>645</spage><epage>656</epage><pages>645-656</pages><issn>0945-6317</issn><eissn>1432-2307</eissn><abstract>Differentiating
BRAF
V600E- and
RAS
-altered encapsulated follicular-patterned thyroid tumors based on morphology remains challenging. This study aimed to validate an 8-score scale nuclear scoring system and investigate the importance of nuclear pseudoinclusions (NPIs) in aiding this differentiation. A cohort of 44 encapsulated follicular-patterned tumors with varying degrees of nuclear atypia and confirmed
BRAF
V600E or
RAS
alterations was studied. Nuclear parameters (area, diameter, and optical density) were analyzed using a deep learning model. Twelve pathologists from eight Asian countries visually assessed 22 cases after excluding the cases with any papillae. Eight nuclear features were applied, yielding a semi-quantitative score from 0 to 24. A threshold score of 14 was used to distinguish between
RAS
- and
BRAF
V600E-altered tumors.
BRAF
V600E-altered tumors typically demonstrated higher nuclear scores and notable morphometric alterations. Specifically, the nuclear area and diameter were significantly larger, and nuclear optical density was much lower compared to
RAS
-altered tumors. Observer accuracy varied, with two pathologists correctly identifying genotype of all cases. Observers were categorized into proficiency groups, with the highest group maintaining consistent accuracy across both evaluation methods. The lower group showed a significant improvement in accuracy upon utilizing the 8-score scale nuclear scoring system, with notably increased sensitivity and negative predictive value in
BRAF
V600E tumor detection.
BRAF
V600E-altered tumors had higher median total nuclear scores. Detailed reevaluation revealed NPIs in all
BRAF
V600E-altered cases, but in only 2 of 14
RAS
-altered cases. These results could significantly assist pathologists, particularly those not specializing in thyroid pathology, in making a more accurate diagnosis.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38366204</pmid><doi>10.1007/s00428-024-03761-4</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0001-9668-7756</orcidid><orcidid>https://orcid.org/0000-0002-4203-5696</orcidid><orcidid>https://orcid.org/0000-0002-0347-7264</orcidid><orcidid>https://orcid.org/0000-0001-6054-0605</orcidid><orcidid>https://orcid.org/0000-0002-1783-7689</orcidid><orcidid>https://orcid.org/0000-0001-7037-4444</orcidid><orcidid>https://orcid.org/0000-0001-5558-7142</orcidid><orcidid>https://orcid.org/0000-0001-6213-765X</orcidid><orcidid>https://orcid.org/0000-0002-4180-7914</orcidid><orcidid>https://orcid.org/0000-0002-7867-5249</orcidid><orcidid>https://orcid.org/0000-0001-8920-7873</orcidid><orcidid>https://orcid.org/0000-0002-3996-8452</orcidid><orcidid>https://orcid.org/0000-0001-6843-3708</orcidid><orcidid>https://orcid.org/0000-0003-4299-2784</orcidid><orcidid>https://orcid.org/0000-0001-6965-5863</orcidid></addata></record> |
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language | eng |
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source | Springer Nature |
subjects | Accuracy Deep learning Encapsulation Genotypes Medicine Medicine & Public Health Optical density Original Article Papillae Pathology Thyroid Thyroid gland Tumors |
title | Differentiating BRAF V600E- and RAS-like alterations in encapsulated follicular patterned tumors through histologic features: a validation study |
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