Value of Artificial Intelligence in Evaluating Lymph Node Metastases. Review uri icon

Overview

abstract

  • 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.

publication date

  • April 26, 2023

Identity

PubMed Central ID

  • PMC10177013

Scopus Document Identifier

  • 85159192072

Digital Object Identifier (DOI)

  • 10.3390/cancers15092491

PubMed ID

  • 37173958

Additional Document Info

volume

  • 15

issue

  • 9