Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.
Détails
Télécharger: 35741138_BIB_00EE9C0034E7.pdf (649.15 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_00EE9C0034E7
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.
Périodique
Diagnostics
ISSN
2075-4418 (Print)
ISSN-L
2075-4418
Statut éditorial
Publié
Date de publication
27/05/2022
Peer-reviewed
Oui
Volume
12
Numéro
6
Pages
1329
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Publication Status: epublish
Résumé
Radiomics is an upcoming field in nuclear oncology, both promising and technically challenging. To summarize the already undertaken work on supradiaphragmatic neoplasia and assess its quality, we performed a literature search in the PubMed database up to 18 February 2022. Inclusion criteria were: studies based on human data; at least one specified tumor type; supradiaphragmatic malignancy; performing radiomics on PET imaging. Exclusion criteria were: studies only based on phantom or animal data; technical articles without a clinically oriented question; fewer than 30 patients in the training cohort. A review database containing PMID, year of publication, cancer type, and quality criteria (number of patients, retrospective or prospective nature, independent validation cohort) was constructed. A total of 220 studies met the inclusion criteria. Among them, 119 (54.1%) studies included more than 100 patients, 21 studies (9.5%) were based on prospectively acquired data, and 91 (41.4%) used an independent validation set. Most studies focused on prognostic and treatment response objectives. Because the textural parameters and methods employed are very different from one article to another, it is complicated to aggregate and compare articles. New contributions and radiomics guidelines tend to help improving quality of the reported studies over the years.
Mots-clé
artificial intelligence, brain tumors, breast tumors, head and neck tumors, lung tumors, radiomics, thymic tumors, thyroid nodules
Pubmed
Web of science
Open Access
Oui
Création de la notice
04/07/2022 13:41
Dernière modification de la notice
23/01/2024 7:19