Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer.
Journal
The American journal of pathology
ISSN: 1525-2191
Titre abrégé: Am J Pathol
Pays: United States
ID NLM: 0370502
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
received:
25
12
2019
revised:
28
02
2020
accepted:
19
03
2020
pubmed:
12
4
2020
medline:
18
8
2020
entrez:
12
4
2020
Statut:
ppublish
Résumé
Quantitative assessment of spatial relations between tumor and tumor-infiltrating lymphocytes (TIL) is increasingly important in both basic science and clinical aspects of breast cancer research. We have developed and evaluated convolutional neural network analysis pipelines to generate combined maps of cancer regions and TILs in routine diagnostic breast cancer whole slide tissue images. The combined maps provide insight about the structural patterns and spatial distribution of lymphocytic infiltrates and facilitate improved quantification of TILs. Both tumor and TIL analyses were evaluated by using three convolutional neural network networks (34-layer ResNet, 16-layer VGG, and Inception v4); the results compared favorably with those obtained by using the best published methods. We have produced open-source tools and a public data set consisting of tumor/TIL maps for 1090 invasive breast cancer images from The Cancer Genome Atlas. The maps can be downloaded for further downstream analyses.
Identifiants
pubmed: 32277893
pii: S0002-9440(20)30188-7
doi: 10.1016/j.ajpath.2020.03.012
pmc: PMC7369575
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
1491-1504Subventions
Organisme : NCI NIH HHS
ID : UG3 CA225021
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM009239
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA180924
Pays : United States
Organisme : NIGMS NIH HHS
ID : T32 GM008444
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA215109
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM011119
Pays : United States
Informations de copyright
Copyright © 2020 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.
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