Artificial intelligence (AI) molecular analysis tool assists in rapid treatment decision in lung cancer: a case report.
Diagnostic Techniques and Procedures
Genes, Neoplasm
Image Processing, Computer-Assisted
LUNG CANCER
Journal
Journal of clinical pathology
ISSN: 1472-4146
Titre abrégé: J Clin Pathol
Pays: England
ID NLM: 0376601
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
01
06
2023
accepted:
15
06
2023
medline:
23
10
2023
pubmed:
19
7
2023
entrez:
18
7
2023
Statut:
ppublish
Résumé
Leptomeningeal involvement among non-small cell lung cancer (NSCLC) patients is an aggressive form of disease that requires quick and efficient treatment. In this case report, we describe a woman in her 40s with a presenting symptom of headache that ultimately was diagnosed as leptomeningeal spread from NSCLC adenocarcinoma. We identified EGFR mutation in less than 48 hours from the biopsy using imagene-artificial intelligence's real-time algorithmic solution on the pathological diagnostic slide.
Identifiants
pubmed: 37463768
pii: jcp-2023-208991
doi: 10.1136/jcp-2023-208991
pmc: PMC10646899
doi:
Substances chimiques
ErbB Receptors
EC 2.7.10.1
Types de publication
Case Reports
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
790-792Informations de copyright
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Déclaration de conflit d'intérêts
Competing interests: None declared.
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