Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer
Tumour budding (TB), lymphatic vessel density (LVD) and lymphatic vessel invasion (LVI) have shown promise as prognostic factors in colorectal cancer (CRC) but reproducibility using conventional histopathology is challenging. We demonstrate image analysis methodology to quantify the histopathologica...
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| Veröffentlicht in: | Journal of translational medicine 2014-06, Vol.12 (1), p.156-156 |
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| creator | Caie, Peter D Turnbull, Arran K Farrington, Susan M Oniscu, Anca Harrison, David J |
| description | Tumour budding (TB), lymphatic vessel density (LVD) and lymphatic vessel invasion (LVI) have shown promise as prognostic factors in colorectal cancer (CRC) but reproducibility using conventional histopathology is challenging. We demonstrate image analysis methodology to quantify the histopathological features which could permit standardisation across institutes and aid risk stratification of Dukes B patients.
Multiplexed immunofluorescence of pan-cytokeratin, D2-40 and DAPI identified epithelium, lymphatic vessels and all nuclei respectively in tissue sections from 50 patients diagnosed with Dukes A (n = 13), Dukes B (n = 29) and Dukes C (n = 8) CRC. An image analysis algorithm was developed and performed, on digitised images of the CRC tissue sections, to quantify TB, LVD, and LVI at the invasive front.
TB (HR =5.7; 95% CI, 2.38-13.8), LVD (HR =5.1; 95% CI, 2.04-12.99) and LVI (HR =9.9; 95% CI, 3.57-27.98) were successfully quantified through image analysis and all were shown to be significantly associated with poor survival, in univariate analyses. LVI (HR =6.08; 95% CI, 1.17-31.41) is an independent prognostic factor within the study and was correlated to both TB (Pearson r =0.71, p |
| doi_str_mv | 10.1186/1479-5876-12-156 |
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Multiplexed immunofluorescence of pan-cytokeratin, D2-40 and DAPI identified epithelium, lymphatic vessels and all nuclei respectively in tissue sections from 50 patients diagnosed with Dukes A (n = 13), Dukes B (n = 29) and Dukes C (n = 8) CRC. An image analysis algorithm was developed and performed, on digitised images of the CRC tissue sections, to quantify TB, LVD, and LVI at the invasive front.
TB (HR =5.7; 95% CI, 2.38-13.8), LVD (HR =5.1; 95% CI, 2.04-12.99) and LVI (HR =9.9; 95% CI, 3.57-27.98) were successfully quantified through image analysis and all were shown to be significantly associated with poor survival, in univariate analyses. LVI (HR =6.08; 95% CI, 1.17-31.41) is an independent prognostic factor within the study and was correlated to both TB (Pearson r =0.71, p <0.0003) and LVD (Pearson r =0.69, p <0.0003).
We demonstrate methodology through image analysis which can standardise the quantification of TB, LVD and LVI from a single tissue section while decreasing observer variability. We suggest this technology is capable of stratifying a high risk Dukes B CRC subpopulation and we show the three histopathological features to be of prognostic significance.</description><identifier>ISSN: 1479-5876</identifier><identifier>EISSN: 1479-5876</identifier><identifier>DOI: 10.1186/1479-5876-12-156</identifier><identifier>PMID: 24885583</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adult ; Cohort Studies ; Colorectal cancer ; Colorectal Neoplasms - pathology ; Complications and side effects ; Computer software industry ; Diagnosis ; Female ; Follow-Up Studies ; Health aspects ; Histochemistry ; Humans ; Image Processing, Computer-Assisted ; International economic relations ; Kaplan-Meier Estimate ; Lymphatic system ; Lymphatic Vessels - pathology ; Male ; Medical research ; Middle Aged ; Multivariate Analysis ; Neoplasm Invasiveness ; Pathology ; Patient outcomes ; Prognosis ; Proportional Hazards Models ; Risk factors ; Studies ; Tuberculosis</subject><ispartof>Journal of translational medicine, 2014-06, Vol.12 (1), p.156-156</ispartof><rights>COPYRIGHT 2014 BioMed Central Ltd.</rights><rights>2014 Caie et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.</rights><rights>Copyright © 2014 Caie et al.; licensee BioMed Central Ltd. 2014 Caie et al.; licensee BioMed Central Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c524t-d80a0da21292779c070b91ead1b86d8edc989e4158ab48b7245f3859e9ff1e453</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4098951/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4098951/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24885583$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Caie, Peter D</creatorcontrib><creatorcontrib>Turnbull, Arran K</creatorcontrib><creatorcontrib>Farrington, Susan M</creatorcontrib><creatorcontrib>Oniscu, Anca</creatorcontrib><creatorcontrib>Harrison, David J</creatorcontrib><title>Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer</title><title>Journal of translational medicine</title><addtitle>J Transl Med</addtitle><description>Tumour budding (TB), lymphatic vessel density (LVD) and lymphatic vessel invasion (LVI) have shown promise as prognostic factors in colorectal cancer (CRC) but reproducibility using conventional histopathology is challenging. We demonstrate image analysis methodology to quantify the histopathological features which could permit standardisation across institutes and aid risk stratification of Dukes B patients.
Multiplexed immunofluorescence of pan-cytokeratin, D2-40 and DAPI identified epithelium, lymphatic vessels and all nuclei respectively in tissue sections from 50 patients diagnosed with Dukes A (n = 13), Dukes B (n = 29) and Dukes C (n = 8) CRC. An image analysis algorithm was developed and performed, on digitised images of the CRC tissue sections, to quantify TB, LVD, and LVI at the invasive front.
TB (HR =5.7; 95% CI, 2.38-13.8), LVD (HR =5.1; 95% CI, 2.04-12.99) and LVI (HR =9.9; 95% CI, 3.57-27.98) were successfully quantified through image analysis and all were shown to be significantly associated with poor survival, in univariate analyses. LVI (HR =6.08; 95% CI, 1.17-31.41) is an independent prognostic factor within the study and was correlated to both TB (Pearson r =0.71, p <0.0003) and LVD (Pearson r =0.69, p <0.0003).
We demonstrate methodology through image analysis which can standardise the quantification of TB, LVD and LVI from a single tissue section while decreasing observer variability. We suggest this technology is capable of stratifying a high risk Dukes B CRC subpopulation and we show the three histopathological features to be of prognostic significance.</description><subject>Adult</subject><subject>Cohort Studies</subject><subject>Colorectal cancer</subject><subject>Colorectal Neoplasms - pathology</subject><subject>Complications and side effects</subject><subject>Computer software industry</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Health aspects</subject><subject>Histochemistry</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>International economic relations</subject><subject>Kaplan-Meier Estimate</subject><subject>Lymphatic system</subject><subject>Lymphatic Vessels - pathology</subject><subject>Male</subject><subject>Medical research</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Neoplasm Invasiveness</subject><subject>Pathology</subject><subject>Patient outcomes</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Risk factors</subject><subject>Studies</subject><subject>Tuberculosis</subject><issn>1479-5876</issn><issn>1479-5876</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptUs2L3CAUD6Wluzvtvaci9NLDZquJRr0UlqVfsFAK7VmMvmRcjE41GZj_vobZDrOleFDe78P3fryqekPwDSGi-0AolzUTvKtJUxPWPasuT6XnZ--L6irnB4wbyqh8WV00VAjGRHtZ5R-LDrMbnNGziwHFAc3LFJeE-sVaF8Zr5A_TbltQg_aQM3hkIWQ3H5AOFrmw13kVztsUl3GL3KRHKJD2h-xywZGJPiYws_bI6GAgvapeDNpneP14b6pfnz_9vPta33__8u3u9r42rKFzbQXW2OqGNLLhXBrMcS8JaEt60VkB1kghgRImdE9Fz8twQyuYBDkMBChrN9XHo-9u6adChzAn7dUulR7TQUXt1FMkuK0a415RXJwZKQbvHw1S_L1AntXksgHvdYC4ZEUYZZx3vCS5qd79Q30oIZYUjqyWtaI7Y43ag3JhiOVfs5qqW9bKrqOS08K6-Q-rHAuTMzHA4Er9iQAfBSbFnBMMpxkJVuuiqHUT1LoJijSloa5I3p5ncxL83Yz2D1r8ugc</recordid><startdate>20140601</startdate><enddate>20140601</enddate><creator>Caie, Peter D</creator><creator>Turnbull, Arran K</creator><creator>Farrington, Susan M</creator><creator>Oniscu, Anca</creator><creator>Harrison, David J</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><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>7T5</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</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>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20140601</creationdate><title>Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer</title><author>Caie, Peter D ; 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We demonstrate image analysis methodology to quantify the histopathological features which could permit standardisation across institutes and aid risk stratification of Dukes B patients.
Multiplexed immunofluorescence of pan-cytokeratin, D2-40 and DAPI identified epithelium, lymphatic vessels and all nuclei respectively in tissue sections from 50 patients diagnosed with Dukes A (n = 13), Dukes B (n = 29) and Dukes C (n = 8) CRC. An image analysis algorithm was developed and performed, on digitised images of the CRC tissue sections, to quantify TB, LVD, and LVI at the invasive front.
TB (HR =5.7; 95% CI, 2.38-13.8), LVD (HR =5.1; 95% CI, 2.04-12.99) and LVI (HR =9.9; 95% CI, 3.57-27.98) were successfully quantified through image analysis and all were shown to be significantly associated with poor survival, in univariate analyses. LVI (HR =6.08; 95% CI, 1.17-31.41) is an independent prognostic factor within the study and was correlated to both TB (Pearson r =0.71, p <0.0003) and LVD (Pearson r =0.69, p <0.0003).
We demonstrate methodology through image analysis which can standardise the quantification of TB, LVD and LVI from a single tissue section while decreasing observer variability. We suggest this technology is capable of stratifying a high risk Dukes B CRC subpopulation and we show the three histopathological features to be of prognostic significance.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>24885583</pmid><doi>10.1186/1479-5876-12-156</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Cohort Studies Colorectal cancer Colorectal Neoplasms - pathology Complications and side effects Computer software industry Diagnosis Female Follow-Up Studies Health aspects Histochemistry Humans Image Processing, Computer-Assisted International economic relations Kaplan-Meier Estimate Lymphatic system Lymphatic Vessels - pathology Male Medical research Middle Aged Multivariate Analysis Neoplasm Invasiveness Pathology Patient outcomes Prognosis Proportional Hazards Models Risk factors Studies Tuberculosis |
| title | Quantification of tumour budding, lymphatic vessel density and invasion through image analysis in colorectal cancer |
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