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TissueCypher™: A systems biology approach to anatomic pathology
Background: Current histologic methods for diagnosis are limited by intra- and inter-observer variability. Immunohistochemistry (IHC) methods are frequently used to assess biomarkers to aid diagnoses, however, IHC staining is variable and nonlinear and the manual interpretation is subjective. Furthe...
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Published in: | Journal of pathology informatics 2015-01, Vol.6 (1), p.48-48, Article 48 |
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creator | Prichard, Jeffrey W. Davison, Jon M. Campbell, Bruce B. Repa, Kathleen A. Reese, Lia M. Nguyen, Xuan M. Li, Jinhong Foxwell, Tyler Taylor, D. Lansing Critchley-Thorne, Rebecca J. |
description | Background: Current histologic methods for diagnosis are limited by intra- and inter-observer variability. Immunohistochemistry (IHC) methods are frequently used to assess biomarkers to aid diagnoses, however, IHC staining is variable and nonlinear and the manual interpretation is subjective. Furthermore, the biomarkers assessed clinically are typically biomarkers of epithelial cell processes. Tumors and premalignant tissues are not composed only of epithelial cells but are interacting systems of multiple cell types, including various stromal cell types that are involved in cancer development. The complex network of the tissue system highlights the need for a systems biology approach to anatomic pathology, in which quantification of system processes is combined with informatics tools to produce actionable scores to aid clinical decision-making. Aims: Here, we describe a quantitative, multiplexed biomarker imaging approach termed TissueCypher™ that applies systems biology to anatomic pathology. Applications of TissueCypher™ in understanding the tissue system of Barrett's esophagus (BE) and the potential use as an adjunctive tool in the diagnosis of BE are described. Patients and Methods: The TissueCypher™ Image Analysis Platform was used to assess 14 epithelial and stromal biomarkers with known diagnostic significance in BE in a set of BE biopsies with nondysplastic BE with reactive atypia (RA, n = 22) and Barrett's with high-grade dysplasia (HGD, n = 17). Biomarker and morphology features were extracted and evaluated in the confirmed BE HGD cases versus the nondysplastic BE cases with RA. Results: Multiple image analysis features derived from epithelial and stromal biomarkers, including immune biomarkers and morphology, showed significant differences between HGD and RA. Conclusions: The assessment of epithelial cell abnormalities combined with an assessment of cellular changes in the lamina propria may serve as an adjunct to conventional pathology in the assessment of BE. |
doi_str_mv | 10.4103/2153-3539.163987 |
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Lansing ; Critchley-Thorne, Rebecca J.</creator><creatorcontrib>Prichard, Jeffrey W. ; Davison, Jon M. ; Campbell, Bruce B. ; Repa, Kathleen A. ; Reese, Lia M. ; Nguyen, Xuan M. ; Li, Jinhong ; Foxwell, Tyler ; Taylor, D. Lansing ; Critchley-Thorne, Rebecca J.</creatorcontrib><description>Background: Current histologic methods for diagnosis are limited by intra- and inter-observer variability. Immunohistochemistry (IHC) methods are frequently used to assess biomarkers to aid diagnoses, however, IHC staining is variable and nonlinear and the manual interpretation is subjective. Furthermore, the biomarkers assessed clinically are typically biomarkers of epithelial cell processes. Tumors and premalignant tissues are not composed only of epithelial cells but are interacting systems of multiple cell types, including various stromal cell types that are involved in cancer development. The complex network of the tissue system highlights the need for a systems biology approach to anatomic pathology, in which quantification of system processes is combined with informatics tools to produce actionable scores to aid clinical decision-making. Aims: Here, we describe a quantitative, multiplexed biomarker imaging approach termed TissueCypher™ that applies systems biology to anatomic pathology. Applications of TissueCypher™ in understanding the tissue system of Barrett's esophagus (BE) and the potential use as an adjunctive tool in the diagnosis of BE are described. Patients and Methods: The TissueCypher™ Image Analysis Platform was used to assess 14 epithelial and stromal biomarkers with known diagnostic significance in BE in a set of BE biopsies with nondysplastic BE with reactive atypia (RA, n = 22) and Barrett's with high-grade dysplasia (HGD, n = 17). Biomarker and morphology features were extracted and evaluated in the confirmed BE HGD cases versus the nondysplastic BE cases with RA. Results: Multiple image analysis features derived from epithelial and stromal biomarkers, including immune biomarkers and morphology, showed significant differences between HGD and RA. Conclusions: The assessment of epithelial cell abnormalities combined with an assessment of cellular changes in the lamina propria may serve as an adjunct to conventional pathology in the assessment of BE.</description><identifier>ISSN: 2153-3539</identifier><identifier>ISSN: 2229-5089</identifier><identifier>EISSN: 2153-3539</identifier><identifier>DOI: 10.4103/2153-3539.163987</identifier><identifier>PMID: 26430536</identifier><language>eng</language><publisher>India: Elsevier Inc</publisher><subject>Accuracy ; Algorithms ; Barrett's esophagus ; Barrett's esophagus, biomarkers, computer vision, digital pathology, high-grade dysplasia, multiplexed immunofluorescence, quantitative image analysis, reactive atypia, stromal cells, TissueCypher ; Biology ; Biomarkers ; Biopsy ; Cancer ; Cancer therapies ; computer vision ; digital pathology ; Endoscopy ; Gene expression ; Geospatial data ; high-grade dysplasia ; Histopathology ; Immunohistochemistry ; Inflammation ; Inventors ; Medical prognosis ; Morphology ; Mortality ; multiplexed immunofluorescence ; Mutation ; Objectivity ; Pathology ; quantitative image analysis ; reactive atypia ; stromal cells ; Technical Note ; TissueCypher</subject><ispartof>Journal of pathology informatics, 2015-01, Vol.6 (1), p.48-48, Article 48</ispartof><rights>2015 The Authors</rights><rights>COPYRIGHT 2015 Medknow Publications and Media Pvt. Ltd.</rights><rights>Copyright Medknow Publications & Media Pvt Ltd 2015</rights><rights>Copyright: © 2015 Journal of Pathology Informatics 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c511y-3a1e182a3130b5e5175f88eb54333724da645e278eae5ab8985de222a4f2fa2f3</citedby><cites>FETCH-LOGICAL-c511y-3a1e182a3130b5e5175f88eb54333724da645e278eae5ab8985de222a4f2fa2f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4584447/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1791357410?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3549,25753,27924,27925,37012,37013,44590,45780,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26430536$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Prichard, Jeffrey W.</creatorcontrib><creatorcontrib>Davison, Jon M.</creatorcontrib><creatorcontrib>Campbell, Bruce B.</creatorcontrib><creatorcontrib>Repa, Kathleen A.</creatorcontrib><creatorcontrib>Reese, Lia M.</creatorcontrib><creatorcontrib>Nguyen, Xuan M.</creatorcontrib><creatorcontrib>Li, Jinhong</creatorcontrib><creatorcontrib>Foxwell, Tyler</creatorcontrib><creatorcontrib>Taylor, D. Lansing</creatorcontrib><creatorcontrib>Critchley-Thorne, Rebecca J.</creatorcontrib><title>TissueCypher™: A systems biology approach to anatomic pathology</title><title>Journal of pathology informatics</title><addtitle>J Pathol Inform</addtitle><description>Background: Current histologic methods for diagnosis are limited by intra- and inter-observer variability. Immunohistochemistry (IHC) methods are frequently used to assess biomarkers to aid diagnoses, however, IHC staining is variable and nonlinear and the manual interpretation is subjective. Furthermore, the biomarkers assessed clinically are typically biomarkers of epithelial cell processes. Tumors and premalignant tissues are not composed only of epithelial cells but are interacting systems of multiple cell types, including various stromal cell types that are involved in cancer development. The complex network of the tissue system highlights the need for a systems biology approach to anatomic pathology, in which quantification of system processes is combined with informatics tools to produce actionable scores to aid clinical decision-making. Aims: Here, we describe a quantitative, multiplexed biomarker imaging approach termed TissueCypher™ that applies systems biology to anatomic pathology. Applications of TissueCypher™ in understanding the tissue system of Barrett's esophagus (BE) and the potential use as an adjunctive tool in the diagnosis of BE are described. Patients and Methods: The TissueCypher™ Image Analysis Platform was used to assess 14 epithelial and stromal biomarkers with known diagnostic significance in BE in a set of BE biopsies with nondysplastic BE with reactive atypia (RA, n = 22) and Barrett's with high-grade dysplasia (HGD, n = 17). Biomarker and morphology features were extracted and evaluated in the confirmed BE HGD cases versus the nondysplastic BE cases with RA. Results: Multiple image analysis features derived from epithelial and stromal biomarkers, including immune biomarkers and morphology, showed significant differences between HGD and RA. Conclusions: The assessment of epithelial cell abnormalities combined with an assessment of cellular changes in the lamina propria may serve as an adjunct to conventional pathology in the assessment of BE.</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Barrett's esophagus</subject><subject>Barrett's esophagus, biomarkers, computer vision, digital pathology, high-grade dysplasia, multiplexed immunofluorescence, quantitative image analysis, reactive atypia, stromal cells, TissueCypher</subject><subject>Biology</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>computer vision</subject><subject>digital pathology</subject><subject>Endoscopy</subject><subject>Gene expression</subject><subject>Geospatial data</subject><subject>high-grade dysplasia</subject><subject>Histopathology</subject><subject>Immunohistochemistry</subject><subject>Inflammation</subject><subject>Inventors</subject><subject>Medical prognosis</subject><subject>Morphology</subject><subject>Mortality</subject><subject>multiplexed immunofluorescence</subject><subject>Mutation</subject><subject>Objectivity</subject><subject>Pathology</subject><subject>quantitative image analysis</subject><subject>reactive atypia</subject><subject>stromal cells</subject><subject>Technical Note</subject><subject>TissueCypher</subject><issn>2153-3539</issn><issn>2229-5089</issn><issn>2153-3539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1krtu2zAUhoWiRROk2TsVArp0savDi0hlKGAYvQQI0CWdCYo6sunIokpKMbznSfpofZJSUWLYRUsNFA7__-Pl_EnyFrI5g4x-JMDpjHJazCGnhRQvkvND6eXR_1lyGcImi4NSgEy-Ts5IzmjGaX6eLG5tCAMu990a_e-HX1fpIg370OM2pKV1jVvtU9113mmzTnuX6lb3bmtN2ul-_bj8JnlV6ybg5dN8kfz48vl2-W128_3r9XJxMzMcYD-jGhAk0RRoVnLkIHgtJZacUUoFYZXOGUciJGrkupSF5BUSQjSrSa1JTS-S64lbOb1Rnbdb7ffKaaseC86vlPa9NQ0qQMEYFaZkBbCaQoFgNOSi4KwkVU4i69PE6oZyi5XBtve6OYGerrR2rVbuXjEuGWMiAj48Abz7OWDo1dYGg02jW3RDUCBAFlkRTxGl7_-Sbtzg2_hUUVUA5WLs5kG10vECtq1d3NeMULVgnDAh81xG1fwfqvhVGHviWqxtrJ8YsslgvAvBY324I2Rq3FeNMVFjTNSUomh5d_w2B8NzZqJgMQl2runRh7tm2KFXUXvXut0JeHYEVkyq57BFxtXEwJiYexvtwVhsDVbWo-ljS-3_T_gH-_bniw</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Prichard, Jeffrey W.</creator><creator>Davison, Jon M.</creator><creator>Campbell, Bruce B.</creator><creator>Repa, Kathleen A.</creator><creator>Reese, Lia M.</creator><creator>Nguyen, Xuan M.</creator><creator>Li, Jinhong</creator><creator>Foxwell, Tyler</creator><creator>Taylor, D. Lansing</creator><creator>Critchley-Thorne, Rebecca J.</creator><general>Elsevier Inc</general><general>Wolters Kluwer - Medknow Publications</general><general>Medknow Publications and Media Pvt. Ltd</general><general>Medknow Publications & Media Pvt. 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Lansing ; Critchley-Thorne, Rebecca J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c511y-3a1e182a3130b5e5175f88eb54333724da645e278eae5ab8985de222a4f2fa2f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Barrett's esophagus</topic><topic>Barrett's esophagus, biomarkers, computer vision, digital pathology, high-grade dysplasia, multiplexed immunofluorescence, quantitative image analysis, reactive atypia, stromal cells, TissueCypher</topic><topic>Biology</topic><topic>Biomarkers</topic><topic>Biopsy</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>computer vision</topic><topic>digital pathology</topic><topic>Endoscopy</topic><topic>Gene expression</topic><topic>Geospatial data</topic><topic>high-grade dysplasia</topic><topic>Histopathology</topic><topic>Immunohistochemistry</topic><topic>Inflammation</topic><topic>Inventors</topic><topic>Medical prognosis</topic><topic>Morphology</topic><topic>Mortality</topic><topic>multiplexed immunofluorescence</topic><topic>Mutation</topic><topic>Objectivity</topic><topic>Pathology</topic><topic>quantitative image analysis</topic><topic>reactive atypia</topic><topic>stromal cells</topic><topic>Technical Note</topic><topic>TissueCypher</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Prichard, Jeffrey W.</creatorcontrib><creatorcontrib>Davison, Jon M.</creatorcontrib><creatorcontrib>Campbell, Bruce B.</creatorcontrib><creatorcontrib>Repa, Kathleen A.</creatorcontrib><creatorcontrib>Reese, Lia M.</creatorcontrib><creatorcontrib>Nguyen, Xuan M.</creatorcontrib><creatorcontrib>Li, Jinhong</creatorcontrib><creatorcontrib>Foxwell, Tyler</creatorcontrib><creatorcontrib>Taylor, D. Lansing</creatorcontrib><creatorcontrib>Critchley-Thorne, Rebecca J.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</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 Computer Science Collection</collection><collection>Computer science database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of pathology informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Prichard, Jeffrey W.</au><au>Davison, Jon M.</au><au>Campbell, Bruce B.</au><au>Repa, Kathleen A.</au><au>Reese, Lia M.</au><au>Nguyen, Xuan M.</au><au>Li, Jinhong</au><au>Foxwell, Tyler</au><au>Taylor, D. Lansing</au><au>Critchley-Thorne, Rebecca J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>TissueCypher™: A systems biology approach to anatomic pathology</atitle><jtitle>Journal of pathology informatics</jtitle><addtitle>J Pathol Inform</addtitle><date>2015-01-01</date><risdate>2015</risdate><volume>6</volume><issue>1</issue><spage>48</spage><epage>48</epage><pages>48-48</pages><artnum>48</artnum><issn>2153-3539</issn><issn>2229-5089</issn><eissn>2153-3539</eissn><abstract>Background: Current histologic methods for diagnosis are limited by intra- and inter-observer variability. Immunohistochemistry (IHC) methods are frequently used to assess biomarkers to aid diagnoses, however, IHC staining is variable and nonlinear and the manual interpretation is subjective. Furthermore, the biomarkers assessed clinically are typically biomarkers of epithelial cell processes. Tumors and premalignant tissues are not composed only of epithelial cells but are interacting systems of multiple cell types, including various stromal cell types that are involved in cancer development. The complex network of the tissue system highlights the need for a systems biology approach to anatomic pathology, in which quantification of system processes is combined with informatics tools to produce actionable scores to aid clinical decision-making. Aims: Here, we describe a quantitative, multiplexed biomarker imaging approach termed TissueCypher™ that applies systems biology to anatomic pathology. Applications of TissueCypher™ in understanding the tissue system of Barrett's esophagus (BE) and the potential use as an adjunctive tool in the diagnosis of BE are described. Patients and Methods: The TissueCypher™ Image Analysis Platform was used to assess 14 epithelial and stromal biomarkers with known diagnostic significance in BE in a set of BE biopsies with nondysplastic BE with reactive atypia (RA, n = 22) and Barrett's with high-grade dysplasia (HGD, n = 17). Biomarker and morphology features were extracted and evaluated in the confirmed BE HGD cases versus the nondysplastic BE cases with RA. Results: Multiple image analysis features derived from epithelial and stromal biomarkers, including immune biomarkers and morphology, showed significant differences between HGD and RA. Conclusions: The assessment of epithelial cell abnormalities combined with an assessment of cellular changes in the lamina propria may serve as an adjunct to conventional pathology in the assessment of BE.</abstract><cop>India</cop><pub>Elsevier Inc</pub><pmid>26430536</pmid><doi>10.4103/2153-3539.163987</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Algorithms Barrett's esophagus Barrett's esophagus, biomarkers, computer vision, digital pathology, high-grade dysplasia, multiplexed immunofluorescence, quantitative image analysis, reactive atypia, stromal cells, TissueCypher Biology Biomarkers Biopsy Cancer Cancer therapies computer vision digital pathology Endoscopy Gene expression Geospatial data high-grade dysplasia Histopathology Immunohistochemistry Inflammation Inventors Medical prognosis Morphology Mortality multiplexed immunofluorescence Mutation Objectivity Pathology quantitative image analysis reactive atypia stromal cells Technical Note TissueCypher |
title | TissueCypher™: A systems biology approach to anatomic pathology |
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