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Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers
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: st...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221970/ https://www.ncbi.nlm.nih.gov/pubmed/35741138 http://dx.doi.org/10.3390/diagnostics12061329 |
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author | Morland, David Triumbari, Elizabeth Katherine Anna Boldrini, Luca Gatta, Roberto Pizzuto, Daniele Annunziata, Salvatore |
author_facet | Morland, David Triumbari, Elizabeth Katherine Anna Boldrini, Luca Gatta, Roberto Pizzuto, Daniele Annunziata, Salvatore |
author_sort | Morland, David |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9221970 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92219702022-06-24 Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers Morland, David Triumbari, Elizabeth Katherine Anna Boldrini, Luca Gatta, Roberto Pizzuto, Daniele Annunziata, Salvatore Diagnostics (Basel) Systematic Review 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. MDPI 2022-05-27 /pmc/articles/PMC9221970/ /pubmed/35741138 http://dx.doi.org/10.3390/diagnostics12061329 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Systematic Review Morland, David Triumbari, Elizabeth Katherine Anna Boldrini, Luca Gatta, Roberto Pizzuto, Daniele Annunziata, Salvatore Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers |
title | Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers |
title_full | Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers |
title_fullStr | Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers |
title_full_unstemmed | Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers |
title_short | Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers |
title_sort | radiomics in oncological pet imaging: a systematic review—part 1, supradiaphragmatic cancers |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221970/ https://www.ncbi.nlm.nih.gov/pubmed/35741138 http://dx.doi.org/10.3390/diagnostics12061329 |
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