Desmoplasia measured by computer assisted image analysis: an independent prognostic marker in colorectal carcinoma
Aims: The assessment of desmoplasia by traditional semiquantitative methods does not provide reliable prognostic data. The aim of this study was to quantify desmoplasia by computerised image analysis in primary colorectal carcinomas and to investigate its ability to predict overall survival. Methods...
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| Veröffentlicht in: | Journal of clinical pathology 2005-01, Vol.58 (1), p.32-38 |
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| creator | Sis, B Sarioglu, S Sokmen, S Sakar, M Kupelioglu, A Fuzun, M |
| description | Aims: The assessment of desmoplasia by traditional semiquantitative methods does not provide reliable prognostic data. The aim of this study was to quantify desmoplasia by computerised image analysis in primary colorectal carcinomas and to investigate its ability to predict overall survival. Methods: In total, 112 colorectal adenocarcinomas, with a median follow up of 66 months, were studied. The representative tumour sections were stained by the van Gieson method, which stains collagen rich stroma red. For quantitative histochemical measurement, digital images were analysed by a computerised image analysis program to calculate the percentage of red stained tissue area. The percentage of desmoplasia (PD) was related to conventional clinicopathological prognostic factors and overall survival. Results: The mean (SD) PD was 4.85 (3.37). PD was found to be significantly associated with lymph vessel and venous invasion. By Kaplan–Meier analysis, PD was associated with survival—patients with PD > 4 had a shorter survival than those with PD ⩽ 4. In multivariate analysis, tumour stage, distant metastasis, and PD emerged as independent prognostic factors. Conclusion: Desmoplasia measured by image analysis seems to be a significant prognostic indicator in patients with colorectal carcinoma and the improved method described in this study would be useful for routine prognostication. |
| doi_str_mv | 10.1136/jcp.2004.018705 |
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The aim of this study was to quantify desmoplasia by computerised image analysis in primary colorectal carcinomas and to investigate its ability to predict overall survival. Methods: In total, 112 colorectal adenocarcinomas, with a median follow up of 66 months, were studied. The representative tumour sections were stained by the van Gieson method, which stains collagen rich stroma red. For quantitative histochemical measurement, digital images were analysed by a computerised image analysis program to calculate the percentage of red stained tissue area. The percentage of desmoplasia (PD) was related to conventional clinicopathological prognostic factors and overall survival. Results: The mean (SD) PD was 4.85 (3.37). PD was found to be significantly associated with lymph vessel and venous invasion. By Kaplan–Meier analysis, PD was associated with survival—patients with PD > 4 had a shorter survival than those with PD ⩽ 4. In multivariate analysis, tumour stage, distant metastasis, and PD emerged as independent prognostic factors. Conclusion: Desmoplasia measured by image analysis seems to be a significant prognostic indicator in patients with colorectal carcinoma and the improved method described in this study would be useful for routine prognostication.</description><identifier>ISSN: 0021-9746</identifier><identifier>EISSN: 1472-4146</identifier><identifier>DOI: 10.1136/jcp.2004.018705</identifier><identifier>PMID: 15623479</identifier><identifier>CODEN: JCPAAK</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd and Association of Clinical Pathologists</publisher><subject>Adenocarcinoma - pathology ; Adenocarcinoma - secondary ; Adult ; Aged ; Aged, 80 and over ; Angiogenesis ; Apoptosis ; Blood Vessels - pathology ; coefficient of variation ; Collagen ; Colorectal cancer ; colorectal carcinoma ; Colorectal Neoplasms - pathology ; desmoplasia ; Extracellular matrix ; Fibrosis ; Follow-Up Studies ; Humans ; image analysis ; Image Processing, Computer-Assisted - methods ; Lymphatic system ; Lymphatic Vessels - pathology ; Medical prognosis ; Metastasis ; Methods ; Middle Aged ; Multivariate analysis ; Neoplasm Invasiveness ; Neoplasm Staging ; Original ; percentage of desmoplasia ; Prognosis ; Prostate cancer ; quantitative histochemistry ; Reproducibility of Results ; Rodents ; Studies ; Survival Analysis ; Tumors</subject><ispartof>Journal of clinical pathology, 2005-01, Vol.58 (1), p.32-38</ispartof><rights>Copyright 2005 Journal of Clinical Pathology</rights><rights>Copyright: 2005 Copyright 2005 Journal of Clinical Pathology</rights><rights>Copyright © Copyright 2005 Journal of Clinical Pathology 2005</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b558t-337b2ea9938824a94dceee435f9db29c521352029c2c5b56f829013d78585ec73</citedby><cites>FETCH-LOGICAL-b558t-337b2ea9938824a94dceee435f9db29c521352029c2c5b56f829013d78585ec73</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/PMC1770537/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1770537/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15623479$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sis, B</creatorcontrib><creatorcontrib>Sarioglu, S</creatorcontrib><creatorcontrib>Sokmen, S</creatorcontrib><creatorcontrib>Sakar, M</creatorcontrib><creatorcontrib>Kupelioglu, A</creatorcontrib><creatorcontrib>Fuzun, M</creatorcontrib><title>Desmoplasia measured by computer assisted image analysis: an independent prognostic marker in colorectal carcinoma</title><title>Journal of clinical pathology</title><addtitle>J Clin Pathol</addtitle><description>Aims: The assessment of desmoplasia by traditional semiquantitative methods does not provide reliable prognostic data. The aim of this study was to quantify desmoplasia by computerised image analysis in primary colorectal carcinomas and to investigate its ability to predict overall survival. Methods: In total, 112 colorectal adenocarcinomas, with a median follow up of 66 months, were studied. The representative tumour sections were stained by the van Gieson method, which stains collagen rich stroma red. For quantitative histochemical measurement, digital images were analysed by a computerised image analysis program to calculate the percentage of red stained tissue area. The percentage of desmoplasia (PD) was related to conventional clinicopathological prognostic factors and overall survival. Results: The mean (SD) PD was 4.85 (3.37). PD was found to be significantly associated with lymph vessel and venous invasion. By Kaplan–Meier analysis, PD was associated with survival—patients with PD > 4 had a shorter survival than those with PD ⩽ 4. In multivariate analysis, tumour stage, distant metastasis, and PD emerged as independent prognostic factors. Conclusion: Desmoplasia measured by image analysis seems to be a significant prognostic indicator in patients with colorectal carcinoma and the improved method described in this study would be useful for routine prognostication.</description><subject>Adenocarcinoma - pathology</subject><subject>Adenocarcinoma - secondary</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Angiogenesis</subject><subject>Apoptosis</subject><subject>Blood Vessels - pathology</subject><subject>coefficient of variation</subject><subject>Collagen</subject><subject>Colorectal cancer</subject><subject>colorectal carcinoma</subject><subject>Colorectal Neoplasms - pathology</subject><subject>desmoplasia</subject><subject>Extracellular matrix</subject><subject>Fibrosis</subject><subject>Follow-Up Studies</subject><subject>Humans</subject><subject>image analysis</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Lymphatic system</subject><subject>Lymphatic Vessels - pathology</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>Methods</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>Neoplasm Invasiveness</subject><subject>Neoplasm Staging</subject><subject>Original</subject><subject>percentage of desmoplasia</subject><subject>Prognosis</subject><subject>Prostate cancer</subject><subject>quantitative histochemistry</subject><subject>Reproducibility of Results</subject><subject>Rodents</subject><subject>Studies</subject><subject>Survival Analysis</subject><subject>Tumors</subject><issn>0021-9746</issn><issn>1472-4146</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkctv1DAQxi0EotvCmRuKhMQBKVs_44RDJbSlBam8JOBqOc7s4iWJg51U7H_PRFmVx4WLbc385vPMfIQ8YXTNmCjO925Yc0rlmrJSU3WPrJjUPJdMFvfJilLO8krL4oScprSnlAnNxENywlTBhdTVisRLSF0YWpu8zTqwaYrQZPUhc6EbphFiZlPyacSg7-wOMtvb9oCRl_jKfN_AAHj0YzbEsOtDGr3LOhu_Y6XvUaUNEdxo28zZ6HwfOvuIPNjaNsHj431Gvly9_rx5k998uH67eXWT10qVYy6ErjnYqhJlyaWtZOMAQAq1rZqaV05xJhSn-OJO1arYlrzCARtdqlKB0-KMXCy6w1R3gNX9GG1rhoiDxIMJ1pu_M73_Znbh1jCNqxSzwPOjQAw_Jkij6Xxy0La2hzAlU2ghpJASwWf_gPswRVxUQq2SUY4UQ-p8oVwMKUXY3rXCqJndNOimmd00i5tY8fTPCX7zR_sQyBdgdujnXR7XPzenlXn_dWM-XRdXH8XlOzO38GLh627_399_ASdpuWA</recordid><startdate>20050101</startdate><enddate>20050101</enddate><creator>Sis, B</creator><creator>Sarioglu, S</creator><creator>Sokmen, S</creator><creator>Sakar, M</creator><creator>Kupelioglu, A</creator><creator>Fuzun, M</creator><general>BMJ Publishing Group Ltd and Association of Clinical Pathologists</general><general>BMJ Publishing Group LTD</general><general>Copyright 2005 Journal of Clinical Pathology</general><scope>BSCLL</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BTHHO</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20050101</creationdate><title>Desmoplasia measured by computer assisted image analysis: an independent prognostic marker in colorectal carcinoma</title><author>Sis, B ; Sarioglu, S ; Sokmen, S ; Sakar, M ; Kupelioglu, A ; Fuzun, M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b558t-337b2ea9938824a94dceee435f9db29c521352029c2c5b56f829013d78585ec73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Adenocarcinoma - pathology</topic><topic>Adenocarcinoma - secondary</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Angiogenesis</topic><topic>Apoptosis</topic><topic>Blood Vessels - pathology</topic><topic>coefficient of variation</topic><topic>Collagen</topic><topic>Colorectal cancer</topic><topic>colorectal carcinoma</topic><topic>Colorectal Neoplasms - pathology</topic><topic>desmoplasia</topic><topic>Extracellular matrix</topic><topic>Fibrosis</topic><topic>Follow-Up Studies</topic><topic>Humans</topic><topic>image analysis</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Lymphatic system</topic><topic>Lymphatic Vessels - pathology</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>Methods</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Neoplasm Invasiveness</topic><topic>Neoplasm Staging</topic><topic>Original</topic><topic>percentage of desmoplasia</topic><topic>Prognosis</topic><topic>Prostate cancer</topic><topic>quantitative histochemistry</topic><topic>Reproducibility of Results</topic><topic>Rodents</topic><topic>Studies</topic><topic>Survival Analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sis, B</creatorcontrib><creatorcontrib>Sarioglu, S</creatorcontrib><creatorcontrib>Sokmen, S</creatorcontrib><creatorcontrib>Sakar, M</creatorcontrib><creatorcontrib>Kupelioglu, A</creatorcontrib><creatorcontrib>Fuzun, M</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</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>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</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>BMJ Journals</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science 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>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of clinical pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sis, B</au><au>Sarioglu, S</au><au>Sokmen, S</au><au>Sakar, M</au><au>Kupelioglu, A</au><au>Fuzun, M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Desmoplasia measured by computer assisted image analysis: an independent prognostic marker in colorectal carcinoma</atitle><jtitle>Journal of clinical pathology</jtitle><addtitle>J Clin Pathol</addtitle><date>2005-01-01</date><risdate>2005</risdate><volume>58</volume><issue>1</issue><spage>32</spage><epage>38</epage><pages>32-38</pages><issn>0021-9746</issn><eissn>1472-4146</eissn><coden>JCPAAK</coden><abstract>Aims: The assessment of desmoplasia by traditional semiquantitative methods does not provide reliable prognostic data. The aim of this study was to quantify desmoplasia by computerised image analysis in primary colorectal carcinomas and to investigate its ability to predict overall survival. Methods: In total, 112 colorectal adenocarcinomas, with a median follow up of 66 months, were studied. The representative tumour sections were stained by the van Gieson method, which stains collagen rich stroma red. For quantitative histochemical measurement, digital images were analysed by a computerised image analysis program to calculate the percentage of red stained tissue area. The percentage of desmoplasia (PD) was related to conventional clinicopathological prognostic factors and overall survival. Results: The mean (SD) PD was 4.85 (3.37). PD was found to be significantly associated with lymph vessel and venous invasion. By Kaplan–Meier analysis, PD was associated with survival—patients with PD > 4 had a shorter survival than those with PD ⩽ 4. In multivariate analysis, tumour stage, distant metastasis, and PD emerged as independent prognostic factors. Conclusion: Desmoplasia measured by image analysis seems to be a significant prognostic indicator in patients with colorectal carcinoma and the improved method described in this study would be useful for routine prognostication.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd and Association of Clinical Pathologists</pub><pmid>15623479</pmid><doi>10.1136/jcp.2004.018705</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adenocarcinoma - pathology Adenocarcinoma - secondary Adult Aged Aged, 80 and over Angiogenesis Apoptosis Blood Vessels - pathology coefficient of variation Collagen Colorectal cancer colorectal carcinoma Colorectal Neoplasms - pathology desmoplasia Extracellular matrix Fibrosis Follow-Up Studies Humans image analysis Image Processing, Computer-Assisted - methods Lymphatic system Lymphatic Vessels - pathology Medical prognosis Metastasis Methods Middle Aged Multivariate analysis Neoplasm Invasiveness Neoplasm Staging Original percentage of desmoplasia Prognosis Prostate cancer quantitative histochemistry Reproducibility of Results Rodents Studies Survival Analysis Tumors |
| title | Desmoplasia measured by computer assisted image analysis: an independent prognostic marker in colorectal carcinoma |
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