Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_00EE9C0034E7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Radiomics in Oncological PET Imaging: A Systematic Review-Part 1, Supradiaphragmatic Cancers.
Journal
Diagnostics
Author(s)
Morland D., Triumbari EKA, Boldrini L., Gatta R., Pizzuto D., Annunziata S.
ISSN
2075-4418 (Print)
ISSN-L
2075-4418
Publication state
Published
Issued date
27/05/2022
Peer-reviewed
Oui
Volume
12
Number
6
Pages
1329
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Abstract
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.
Keywords
artificial intelligence, brain tumors, breast tumors, head and neck tumors, lung tumors, radiomics, thymic tumors, thyroid nodules
Pubmed
Web of science
Open Access
Yes
Create date
04/07/2022 14:41
Last modification date
23/01/2024 8:19
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