Value of Artificial Intelligence in Evaluating Lymph Node Metastases.
artificial intelligence
digital pathology
lymph nodes
metastases
Journal
Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829
Informations de publication
Date de publication:
26 Apr 2023
26 Apr 2023
Historique:
received:
30
03
2023
revised:
23
04
2023
accepted:
25
04
2023
medline:
13
5
2023
pubmed:
13
5
2023
entrez:
13
5
2023
Statut:
epublish
Résumé
One of the most relevant prognostic factors in cancer staging is the presence of lymph node (LN) metastasis. Evaluating lymph nodes for the presence of metastatic cancerous cells can be a lengthy, monotonous, and error-prone process. Owing to digital pathology, artificial intelligence (AI) applied to whole slide images (WSIs) of lymph nodes can be exploited for the automatic detection of metastatic tissue. The aim of this study was to review the literature regarding the implementation of AI as a tool for the detection of metastases in LNs in WSIs. A systematic literature search was conducted in PubMed and Embase databases. Studies involving the application of AI techniques to automatically analyze LN status were included. Of 4584 retrieved articles, 23 were included. Relevant articles were labeled into three categories based upon the accuracy of AI in evaluating LNs. Published data overall indicate that the application of AI in detecting LN metastases is promising and can be proficiently employed in daily pathology practice.
Identifiants
pubmed: 37173958
pii: cancers15092491
doi: 10.3390/cancers15092491
pmc: PMC10177013
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Subventions
Organisme : European Union - NextGenerationEU through the Italian Ministry of University and Research under PNRR - M4C2-I1.3 Project PE_00000019 "HEAL ITALIA"
ID : B33C22001030006
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