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Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma

BACKGROUND: The study aimed to evaluate the risk factors based on pathological findings comprehensively in oral squamous cell carcinoma (OSCC) using image analysis. METHODS: Scanned images of hematoxylin and eosin‐, pan‐cytokeratin‐, CD3‐, and CD8‐stained slides of OSCC cases from 256 patients were...

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Autores principales: Sung, Yeoun Eun, Kim, Min‐Sik, Lee, Youn Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247849/
https://www.ncbi.nlm.nih.gov/pubmed/33533145
http://dx.doi.org/10.1002/hed.26621
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author Sung, Yeoun Eun
Kim, Min‐Sik
Lee, Youn Soo
author_facet Sung, Yeoun Eun
Kim, Min‐Sik
Lee, Youn Soo
author_sort Sung, Yeoun Eun
collection PubMed
description BACKGROUND: The study aimed to evaluate the risk factors based on pathological findings comprehensively in oral squamous cell carcinoma (OSCC) using image analysis. METHODS: Scanned images of hematoxylin and eosin‐, pan‐cytokeratin‐, CD3‐, and CD8‐stained slides of OSCC cases from 256 patients were analyzed, and six variables were obtained including the tumor–stroma ratio, tumor budding per tumor bed area, and tumor infiltrating lymphocytes‐associated variables. We determined the “score” of all cases based on the variables, and all cases were classified into low‐, intermediate‐, and high‐risk groups. RESULTS: A significant difference in prognosis was confirmed between the risk groups (p < 0.001), and even when evaluated within different tumor‐node‐metastasis (TNM) stages, the high‐risk groups were associated with poor survival. CONCLUSIONS: We report our work on a possible descriptive model that can predict prognosis based on pathological and imaging findings regardless of the TNM stage.
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spelling pubmed-82478492021-07-02 Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma Sung, Yeoun Eun Kim, Min‐Sik Lee, Youn Soo Head Neck Original Articles BACKGROUND: The study aimed to evaluate the risk factors based on pathological findings comprehensively in oral squamous cell carcinoma (OSCC) using image analysis. METHODS: Scanned images of hematoxylin and eosin‐, pan‐cytokeratin‐, CD3‐, and CD8‐stained slides of OSCC cases from 256 patients were analyzed, and six variables were obtained including the tumor–stroma ratio, tumor budding per tumor bed area, and tumor infiltrating lymphocytes‐associated variables. We determined the “score” of all cases based on the variables, and all cases were classified into low‐, intermediate‐, and high‐risk groups. RESULTS: A significant difference in prognosis was confirmed between the risk groups (p < 0.001), and even when evaluated within different tumor‐node‐metastasis (TNM) stages, the high‐risk groups were associated with poor survival. CONCLUSIONS: We report our work on a possible descriptive model that can predict prognosis based on pathological and imaging findings regardless of the TNM stage. John Wiley & Sons, Inc. 2021-02-02 2021-05 /pmc/articles/PMC8247849/ /pubmed/33533145 http://dx.doi.org/10.1002/hed.26621 Text en © 2021 The Authors. Head & Neck published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Sung, Yeoun Eun
Kim, Min‐Sik
Lee, Youn Soo
Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma
title Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma
title_full Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma
title_fullStr Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma
title_full_unstemmed Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma
title_short Proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma
title_sort proposal of a scoring system for predicting pathological risk based on a semiautomated analysis of whole slide images in oral squamous cell carcinoma
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247849/
https://www.ncbi.nlm.nih.gov/pubmed/33533145
http://dx.doi.org/10.1002/hed.26621
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