Loading…

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...

Full description

Saved in:
Bibliographic Details
Published in:Virchows Archiv : an international journal of pathology 2024-04, Vol.484 (4), p.645-656
Main Authors: 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
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c375t-582eadf1f5b52ae0daeecc39b4a1c198f7ea3a9135b18cea6fc66a34590c32f83
cites cdi_FETCH-LOGICAL-c375t-582eadf1f5b52ae0daeecc39b4a1c198f7ea3a9135b18cea6fc66a34590c32f83
container_end_page 656
container_issue 4
container_start_page 645
container_title Virchows Archiv : an international journal of pathology
container_volume 484
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2928244758</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2928244758</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-582eadf1f5b52ae0daeecc39b4a1c198f7ea3a9135b18cea6fc66a34590c32f83</originalsourceid><addsrcrecordid>eNp9kUtrlDEUhoModqz-ARcScOMmmtt3c1drq0JBqJdtOJPvZCY1k4xJPqH_wp9s2qkKLlyFJM_7ngMPIU8Ffyk4H14VzrUcGZeacTX0gul7ZCW0kkwqPtwnKz7pjvVKDEfkUSlXnEsxiv4hOVKj6nvJ9Yr8fOudw4yxeqg-buiby5Nz-rXn_IxRiDO9PPnEgv-GFELF3JgUC_WRYrSwL0uAijN1KQRv2yXTPdTGxfZYl13KhdZtTstmS7e-1BTSxlvqEOqSsbymQH9A8PNtLS11ma8fkwcOQsEnd-cx-XJ-9vn0Pbv4-O7D6ckFs2roKutGiTA74bp1JwH5DIjWqmmtQVgxjW5AUDAJ1a3FaBF6Z_selO4mbpV0ozomLw69-5y-L1iq2fliMQSImJZi5CRHqfXQ3aDP_0Gv0pJj284orqdOdVKqRskDZXMqJaMz--x3kK-N4ObGlzn4Ms2XufVldAs9u6te1juc_0R-C2qAOgClfcUN5r-z_1P7Cz64opQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3049535223</pqid></control><display><type>article</type><title>Differentiating BRAF V600E- and RAS-like alterations in encapsulated follicular patterned tumors through histologic features: a validation study</title><source>Springer Nature</source><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</creator><creatorcontrib>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</creatorcontrib><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><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 &amp; 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 &amp; 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 &amp; 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 &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; 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>
fulltext fulltext
identifier ISSN: 0945-6317
ispartof Virchows Archiv : an international journal of pathology, 2024-04, Vol.484 (4), p.645-656
issn 0945-6317
1432-2307
language eng
recordid cdi_proquest_miscellaneous_2928244758
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
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T17%3A10%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Differentiating%20BRAF%20V600E-%20and%20RAS-like%20alterations%20in%20encapsulated%20follicular%20patterned%20tumors%20through%20histologic%20features:%20a%20validation%20study&rft.jtitle=Virchows%20Archiv%20:%20an%20international%20journal%20of%20pathology&rft.au=Kim,%20Chankyung&rft.date=2024-04-01&rft.volume=484&rft.issue=4&rft.spage=645&rft.epage=656&rft.pages=645-656&rft.issn=0945-6317&rft.eissn=1432-2307&rft_id=info:doi/10.1007/s00428-024-03761-4&rft_dat=%3Cproquest_cross%3E2928244758%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c375t-582eadf1f5b52ae0daeecc39b4a1c198f7ea3a9135b18cea6fc66a34590c32f83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3049535223&rft_id=info:pmid/38366204&rfr_iscdi=true