Filling the gap between microscopic and automated analysis of the tumor-stroma ratio

Determining the tumor-stroma ratio (TSR) using a conventional microscope is an easy to apply and highly reproducible method. Due to digitalization in the pathology workflow, the demand for automated analysis of the TSR method is rising. However, the process of automation is rather time consuming and...

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Autores principales:	Gabi Pelt, Rob Tollenaar, Wilma Mesker
Formato:	article
Lenguaje:	EN
Publicado:	Shiraz University of Medical Sciences 2020
Materias:	automation digital analysis microscopic analysis tumor-stroma ratio Medicine R
Acceso en línea:	https://doaj.org/article/5e2922ab8dc9429f992e26f57eee12fe
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spelling	oai:doaj.org-article:5e2922ab8dc9429f992e26f57eee12fe2021-11-14T08:12:06ZFilling the gap between microscopic and automated analysis of the tumor-stroma ratio2783-243010.30476/acrr.2020.46475https://doaj.org/article/5e2922ab8dc9429f992e26f57eee12fe2020-03-01T00:00:00Zhttps://colorectalresearch.sums.ac.ir/article_46475_08600a973b1cd14a1714468dc0c473f3.pdfhttps://doaj.org/toc/2783-2430Determining the tumor-stroma ratio (TSR) using a conventional microscope is an easy to apply and highly reproducible method. Due to digitalization in the pathology workflow, the demand for automated analysis of the TSR method is rising. However, the process of automation is rather time consuming and needs validation before implementation in daily practice. In addition, international studies ask for exchange of digital images instead of the actual slides. This calls for an alternative digital scoring method. This brief report describes the pitfalls of analyzing the TSR using digital images and proposes essential adaptations to create a standardized and reproducible scoring protocol. By using a circular annotation to mimic the microscopic method, these pitfalls can be avoided. Scoring the TSR digitally using a circular annotation does not take much additional effort compared to the microscopic method. When a fixed size of the annotation is saved, new cases can be scored in less than two minutes. With this brief report we propose an adjusted method for scoring the TSR on digital images to fill the gap between microscopically and automated scoring of the TSR. In addition, it opens the opportunity for application in daily diagnostics.Gabi PeltRob TollenaarWilma MeskerShiraz University of Medical Sciencesarticleautomationdigital analysismicroscopic analysistumor-stroma ratioMedicineRENIranian Journal of Colorectal Research, Vol 8, Iss 1, Pp 29-32 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	automation digital analysis microscopic analysis tumor-stroma ratio Medicine R
spellingShingle	automation digital analysis microscopic analysis tumor-stroma ratio Medicine R Gabi Pelt Rob Tollenaar Wilma Mesker Filling the gap between microscopic and automated analysis of the tumor-stroma ratio
description	Determining the tumor-stroma ratio (TSR) using a conventional microscope is an easy to apply and highly reproducible method. Due to digitalization in the pathology workflow, the demand for automated analysis of the TSR method is rising. However, the process of automation is rather time consuming and needs validation before implementation in daily practice. In addition, international studies ask for exchange of digital images instead of the actual slides. This calls for an alternative digital scoring method. This brief report describes the pitfalls of analyzing the TSR using digital images and proposes essential adaptations to create a standardized and reproducible scoring protocol. By using a circular annotation to mimic the microscopic method, these pitfalls can be avoided. Scoring the TSR digitally using a circular annotation does not take much additional effort compared to the microscopic method. When a fixed size of the annotation is saved, new cases can be scored in less than two minutes. With this brief report we propose an adjusted method for scoring the TSR on digital images to fill the gap between microscopically and automated scoring of the TSR. In addition, it opens the opportunity for application in daily diagnostics.
format	article
author	Gabi Pelt Rob Tollenaar Wilma Mesker
author_facet	Gabi Pelt Rob Tollenaar Wilma Mesker
author_sort	Gabi Pelt
title	Filling the gap between microscopic and automated analysis of the tumor-stroma ratio
title_short	Filling the gap between microscopic and automated analysis of the tumor-stroma ratio
title_full	Filling the gap between microscopic and automated analysis of the tumor-stroma ratio
title_fullStr	Filling the gap between microscopic and automated analysis of the tumor-stroma ratio
title_full_unstemmed	Filling the gap between microscopic and automated analysis of the tumor-stroma ratio
title_sort	filling the gap between microscopic and automated analysis of the tumor-stroma ratio
publisher	Shiraz University of Medical Sciences
publishDate	2020
url	https://doaj.org/article/5e2922ab8dc9429f992e26f57eee12fe
work_keys_str_mv	AT gabipelt fillingthegapbetweenmicroscopicandautomatedanalysisofthetumorstromaratio AT robtollenaar fillingthegapbetweenmicroscopicandautomatedanalysisofthetumorstromaratio AT wilmamesker fillingthegapbetweenmicroscopicandautomatedanalysisofthetumorstromaratio
_version_	1718429779451969536

Filling the gap between microscopic and automated analysis of the tumor-stroma ratio

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