Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer: Results of a feasibility study

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Standard

Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer : Results of a feasibility study. / Jepsen, Rikke Karlin; Klarskov, Louise Laurberg; Lippert, Michael Friis; Novotny, Guy Wayne; Hansen, Tine Plato; Christensen, Ib Jarle; Høgdall, Estrid; Riis, Lene Buhl.

I: Pathology, Research and Practice, Bind 214, Nr. 9, 2018, s. 1273-1281.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Jepsen, RK, Klarskov, LL, Lippert, MF, Novotny, GW, Hansen, TP, Christensen, IJ, Høgdall, E & Riis, LB 2018, 'Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer: Results of a feasibility study', Pathology, Research and Practice, bind 214, nr. 9, s. 1273-1281. https://doi.org/10.1016/j.prp.2018.07.002

APA

Jepsen, R. K., Klarskov, L. L., Lippert, M. F., Novotny, G. W., Hansen, T. P., Christensen, I. J., Høgdall, E., & Riis, L. B. (2018). Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer: Results of a feasibility study. Pathology, Research and Practice, 214(9), 1273-1281. https://doi.org/10.1016/j.prp.2018.07.002

Vancouver

Jepsen RK, Klarskov LL, Lippert MF, Novotny GW, Hansen TP, Christensen IJ o.a. Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer: Results of a feasibility study. Pathology, Research and Practice. 2018;214(9):1273-1281. https://doi.org/10.1016/j.prp.2018.07.002

Author

Jepsen, Rikke Karlin ; Klarskov, Louise Laurberg ; Lippert, Michael Friis ; Novotny, Guy Wayne ; Hansen, Tine Plato ; Christensen, Ib Jarle ; Høgdall, Estrid ; Riis, Lene Buhl. / Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer : Results of a feasibility study. I: Pathology, Research and Practice. 2018 ; Bind 214, Nr. 9. s. 1273-1281.

Bibtex

@article{72911975ea0d4605abf01cc3145ff175,
title = "Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer: Results of a feasibility study",
abstract = "Tumor budding is an independent prognostic factor in colorectal cancer. However, varying degrees of interobserver agreement and reproducibility challenges the use of tumor budding in diagnostics. Immunohistochemical staining of tumor slides with pan-cytokeratin visualizes the budding tumor cells and has been suggested to improve reproducibility. Here we demonstrate the methodology of tumor budding assessment using digital image analysis based on tumor slides stained for pan-cytokeratin, and investigate interobserver agreement, agreement between manual and digital assessment methods and digital reproducibility between users. Tumor slides from 126 patients with pT1/pT2 colorectal cancer were stained with pan-cytokeratin and tumor budding at the invasive tumor front was assessed by conventional manual microscopy. A digital image analysis algorithm for identification and quantification of budding tumor cells was developed and tested on the pan-cytokeratin stained slides. Manual assessment of tumor budding using pan-cytokeratin stained tumor slides exhibited high correlations (Spearman Rank 0.84-0.89, p < 0.001),excellent agreement between observers (Intra-class correlation coefficient (ICC): 0.86 -0.87) and 2.20 higher odds for regional metastases with increasing budding counts (p = 0.017). Digital image analysis correlated well to manual assessment (Spearman Rank 0.71-0.88) and agreement between the two methods was good (ICC 0.62-0.82). However, only a trend towards increased odds for metastatic progression was found for the adjusted digital estimates (p = 0.076). Digital estimates were higher than manual estimates, demonstrated by a systematic median difference of 3-4.5 buds. Image analysis was highly reproducible between users of the algorithm (ICC 0.98). In conclusion, assessment of tumor budding using pan-cytokeratin stained tumor slides is a method with high correlation and agreement between observers. Digital image analysis quantifies budding tumor cells in high agreement with manual estimates, but approval of the digital slides by a pathologist is mandatory. The method qualifies for further investigation.",
keywords = "Algorithms, Biomarkers, Tumor/analysis, Colorectal Neoplasms/pathology, Feasibility Studies, Humans, Image Interpretation, Computer-Assisted/methods, Keratins/analysis, Observer Variation, Reproducibility of Results",
author = "Jepsen, {Rikke Karlin} and Klarskov, {Louise Laurberg} and Lippert, {Michael Friis} and Novotny, {Guy Wayne} and Hansen, {Tine Plato} and Christensen, {Ib Jarle} and Estrid H{\o}gdall and Riis, {Lene Buhl}",
note = "Copyright {\textcopyright} 2018. Published by Elsevier GmbH.",
year = "2018",
doi = "10.1016/j.prp.2018.07.002",
language = "English",
volume = "214",
pages = "1273--1281",
journal = "Pathology, Research and Practice",
issn = "0344-0338",
publisher = "Elsevier GmbH - Urban und Fischer",
number = "9",

}

RIS

TY - JOUR

T1 - Digital image analysis of pan-cytokeratin stained tumor slides for evaluation of tumor budding in pT1/pT2 colorectal cancer

T2 - Results of a feasibility study

AU - Jepsen, Rikke Karlin

AU - Klarskov, Louise Laurberg

AU - Lippert, Michael Friis

AU - Novotny, Guy Wayne

AU - Hansen, Tine Plato

AU - Christensen, Ib Jarle

AU - Høgdall, Estrid

AU - Riis, Lene Buhl

N1 - Copyright © 2018. Published by Elsevier GmbH.

PY - 2018

Y1 - 2018

N2 - Tumor budding is an independent prognostic factor in colorectal cancer. However, varying degrees of interobserver agreement and reproducibility challenges the use of tumor budding in diagnostics. Immunohistochemical staining of tumor slides with pan-cytokeratin visualizes the budding tumor cells and has been suggested to improve reproducibility. Here we demonstrate the methodology of tumor budding assessment using digital image analysis based on tumor slides stained for pan-cytokeratin, and investigate interobserver agreement, agreement between manual and digital assessment methods and digital reproducibility between users. Tumor slides from 126 patients with pT1/pT2 colorectal cancer were stained with pan-cytokeratin and tumor budding at the invasive tumor front was assessed by conventional manual microscopy. A digital image analysis algorithm for identification and quantification of budding tumor cells was developed and tested on the pan-cytokeratin stained slides. Manual assessment of tumor budding using pan-cytokeratin stained tumor slides exhibited high correlations (Spearman Rank 0.84-0.89, p < 0.001),excellent agreement between observers (Intra-class correlation coefficient (ICC): 0.86 -0.87) and 2.20 higher odds for regional metastases with increasing budding counts (p = 0.017). Digital image analysis correlated well to manual assessment (Spearman Rank 0.71-0.88) and agreement between the two methods was good (ICC 0.62-0.82). However, only a trend towards increased odds for metastatic progression was found for the adjusted digital estimates (p = 0.076). Digital estimates were higher than manual estimates, demonstrated by a systematic median difference of 3-4.5 buds. Image analysis was highly reproducible between users of the algorithm (ICC 0.98). In conclusion, assessment of tumor budding using pan-cytokeratin stained tumor slides is a method with high correlation and agreement between observers. Digital image analysis quantifies budding tumor cells in high agreement with manual estimates, but approval of the digital slides by a pathologist is mandatory. The method qualifies for further investigation.

AB - Tumor budding is an independent prognostic factor in colorectal cancer. However, varying degrees of interobserver agreement and reproducibility challenges the use of tumor budding in diagnostics. Immunohistochemical staining of tumor slides with pan-cytokeratin visualizes the budding tumor cells and has been suggested to improve reproducibility. Here we demonstrate the methodology of tumor budding assessment using digital image analysis based on tumor slides stained for pan-cytokeratin, and investigate interobserver agreement, agreement between manual and digital assessment methods and digital reproducibility between users. Tumor slides from 126 patients with pT1/pT2 colorectal cancer were stained with pan-cytokeratin and tumor budding at the invasive tumor front was assessed by conventional manual microscopy. A digital image analysis algorithm for identification and quantification of budding tumor cells was developed and tested on the pan-cytokeratin stained slides. Manual assessment of tumor budding using pan-cytokeratin stained tumor slides exhibited high correlations (Spearman Rank 0.84-0.89, p < 0.001),excellent agreement between observers (Intra-class correlation coefficient (ICC): 0.86 -0.87) and 2.20 higher odds for regional metastases with increasing budding counts (p = 0.017). Digital image analysis correlated well to manual assessment (Spearman Rank 0.71-0.88) and agreement between the two methods was good (ICC 0.62-0.82). However, only a trend towards increased odds for metastatic progression was found for the adjusted digital estimates (p = 0.076). Digital estimates were higher than manual estimates, demonstrated by a systematic median difference of 3-4.5 buds. Image analysis was highly reproducible between users of the algorithm (ICC 0.98). In conclusion, assessment of tumor budding using pan-cytokeratin stained tumor slides is a method with high correlation and agreement between observers. Digital image analysis quantifies budding tumor cells in high agreement with manual estimates, but approval of the digital slides by a pathologist is mandatory. The method qualifies for further investigation.

KW - Algorithms

KW - Biomarkers, Tumor/analysis

KW - Colorectal Neoplasms/pathology

KW - Feasibility Studies

KW - Humans

KW - Image Interpretation, Computer-Assisted/methods

KW - Keratins/analysis

KW - Observer Variation

KW - Reproducibility of Results

U2 - 10.1016/j.prp.2018.07.002

DO - 10.1016/j.prp.2018.07.002

M3 - Journal article

C2 - 30017334

VL - 214

SP - 1273

EP - 1281

JO - Pathology, Research and Practice

JF - Pathology, Research and Practice

SN - 0344-0338

IS - 9

ER -

ID: 216563938