Cargando…
A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics
The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is essential for the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly adopted into diagnostic guidelines and routine workflows to assess...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449765/ https://www.ncbi.nlm.nih.gov/pubmed/37620357 http://dx.doi.org/10.1038/s41597-023-02422-6 |
_version_ | 1785095031116267520 |
---|---|
author | Weitz, Philippe Valkonen, Masi Solorzano, Leslie Carr, Circe Kartasalo, Kimmo Boissin, Constance Koivukoski, Sonja Kuusela, Aino Rasic, Dusan Feng, Yanbo Sinius Pouplier, Sandra Sharma, Abhinav Ledesma Eriksson, Kajsa Latonen, Leena Laenkholm, Anne-Vibeke Hartman, Johan Ruusuvuori, Pekka Rantalainen, Mattias |
author_facet | Weitz, Philippe Valkonen, Masi Solorzano, Leslie Carr, Circe Kartasalo, Kimmo Boissin, Constance Koivukoski, Sonja Kuusela, Aino Rasic, Dusan Feng, Yanbo Sinius Pouplier, Sandra Sharma, Abhinav Ledesma Eriksson, Kajsa Latonen, Leena Laenkholm, Anne-Vibeke Hartman, Johan Ruusuvuori, Pekka Rantalainen, Mattias |
author_sort | Weitz, Philippe |
collection | PubMed |
description | The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is essential for the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly adopted into diagnostic guidelines and routine workflows to assess the status of several established biomarkers, including ER, PGR, HER2 and KI67. Biomarker assessment can also be facilitated by computational pathology image analysis methods, which have made numerous substantial advances recently, often based on publicly available whole slide image (WSI) data sets. However, the field is still considerably limited by the sparsity of public data sets. In particular, there are no large, high quality publicly available data sets with WSIs of matching IHC and H&E-stained tissue sections from the same tumour. Here, we publish the currently largest publicly available data set of WSIs of tissue sections from surgical resection specimens from female primary breast cancer patients with matched WSIs of corresponding H&E and IHC-stained tissue, consisting of 4,212 WSIs from 1,153 patients. |
format | Online Article Text |
id | pubmed-10449765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104497652023-08-26 A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics Weitz, Philippe Valkonen, Masi Solorzano, Leslie Carr, Circe Kartasalo, Kimmo Boissin, Constance Koivukoski, Sonja Kuusela, Aino Rasic, Dusan Feng, Yanbo Sinius Pouplier, Sandra Sharma, Abhinav Ledesma Eriksson, Kajsa Latonen, Leena Laenkholm, Anne-Vibeke Hartman, Johan Ruusuvuori, Pekka Rantalainen, Mattias Sci Data Data Descriptor The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is essential for the pathologic assessment of surgically resected breast cancer specimens. IHC staining has been broadly adopted into diagnostic guidelines and routine workflows to assess the status of several established biomarkers, including ER, PGR, HER2 and KI67. Biomarker assessment can also be facilitated by computational pathology image analysis methods, which have made numerous substantial advances recently, often based on publicly available whole slide image (WSI) data sets. However, the field is still considerably limited by the sparsity of public data sets. In particular, there are no large, high quality publicly available data sets with WSIs of matching IHC and H&E-stained tissue sections from the same tumour. Here, we publish the currently largest publicly available data set of WSIs of tissue sections from surgical resection specimens from female primary breast cancer patients with matched WSIs of corresponding H&E and IHC-stained tissue, consisting of 4,212 WSIs from 1,153 patients. Nature Publishing Group UK 2023-08-24 /pmc/articles/PMC10449765/ /pubmed/37620357 http://dx.doi.org/10.1038/s41597-023-02422-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Weitz, Philippe Valkonen, Masi Solorzano, Leslie Carr, Circe Kartasalo, Kimmo Boissin, Constance Koivukoski, Sonja Kuusela, Aino Rasic, Dusan Feng, Yanbo Sinius Pouplier, Sandra Sharma, Abhinav Ledesma Eriksson, Kajsa Latonen, Leena Laenkholm, Anne-Vibeke Hartman, Johan Ruusuvuori, Pekka Rantalainen, Mattias A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics |
title | A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics |
title_full | A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics |
title_fullStr | A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics |
title_full_unstemmed | A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics |
title_short | A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics |
title_sort | multi-stain breast cancer histological whole-slide-image data set from routine diagnostics |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449765/ https://www.ncbi.nlm.nih.gov/pubmed/37620357 http://dx.doi.org/10.1038/s41597-023-02422-6 |
work_keys_str_mv | AT weitzphilippe amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT valkonenmasi amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT solorzanoleslie amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT carrcirce amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT kartasalokimmo amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT boissinconstance amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT koivukoskisonja amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT kuuselaaino amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT rasicdusan amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT fengyanbo amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT siniuspoupliersandra amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT sharmaabhinav amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT ledesmaerikssonkajsa amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT latonenleena amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT laenkholmannevibeke amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT hartmanjohan amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT ruusuvuoripekka amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT rantalainenmattias amultistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT weitzphilippe multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT valkonenmasi multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT solorzanoleslie multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT carrcirce multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT kartasalokimmo multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT boissinconstance multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT koivukoskisonja multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT kuuselaaino multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT rasicdusan multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT fengyanbo multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT siniuspoupliersandra multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT sharmaabhinav multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT ledesmaerikssonkajsa multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT latonenleena multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT laenkholmannevibeke multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT hartmanjohan multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT ruusuvuoripekka multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics AT rantalainenmattias multistainbreastcancerhistologicalwholeslideimagedatasetfromroutinediagnostics |