Radiomic applications in upper gastrointestinal cancer surgery.
Artificial intelligence
Image processing
Radiomics
Surgery
Upper gastrointestinal cancer
Journal
Langenbeck's archives of surgery
ISSN: 1435-2451
Titre abrégé: Langenbecks Arch Surg
Pays: Germany
ID NLM: 9808285
Informations de publication
Date de publication:
06 Jun 2023
06 Jun 2023
Historique:
received:
19
02
2023
accepted:
21
05
2023
medline:
8
6
2023
pubmed:
6
6
2023
entrez:
6
6
2023
Statut:
epublish
Résumé
Cross-sectional imaging plays an integral role in the management of upper gastrointestinal (UGI) cancer, from initial diagnosis and staging to determining appropriate treatment strategies. Subjective imaging interpretation has known limitations. The field of radiomics has evolved to extract quantitative data from medical imaging and relate these to biological processes. The key concept behind radiomics is that the high-throughput analysis of quantitative imaging features can provide predictive or prognostic information, with the goal of providing individualised care. Radiomic studies have shown promising utility in upper gastrointestinal oncology, highlighting a potential role in determining stage of disease and degree of tumour differentiation and predicting recurrence-free survival. This narrative review aims to provide an insight into the concepts underpinning radiomics, as well as its potential applications for guiding treatment and surgical decision-making in upper gastrointestinal malignancy. Outcomes from studies to date have been promising; however, further standardisation and collaboration are required. Large prospective studies with external validation and evaluation of radiomic integration into clinical pathways are needed. Future research should now focus on translating the promising utility of radiomics into meaningful patient outcomes.
Identifiants
pubmed: 37278924
doi: 10.1007/s00423-023-02951-z
pii: 10.1007/s00423-023-02951-z
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
226Informations de copyright
© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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