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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/12/6/1329 |
| _version_ | 1797488292550148096 |
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| author | David Morland Elizabeth Katherine Anna Triumbari Luca Boldrini Roberto Gatta Daniele Pizzuto Salvatore Annunziata |
| author_facet | David Morland Elizabeth Katherine Anna Triumbari Luca Boldrini Roberto Gatta Daniele Pizzuto Salvatore Annunziata |
| author_sort | David Morland |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T00:01:00Z |
| format | Article |
| id | doaj.art-19ba7744f20744d5b7391cf23b11b163 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-10T00:01:00Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-19ba7744f20744d5b7391cf23b11b1632023-11-23T16:16:20ZengMDPI AGDiagnostics2075-44182022-05-01126132910.3390/diagnostics12061329Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic CancersDavid Morland0Elizabeth Katherine Anna Triumbari1Luca Boldrini2Roberto Gatta3Daniele Pizzuto4Salvatore Annunziata5Nuclear Medicine Unit, TracerGLab, Department of Radiology, Radiotherapy and Hematology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, ItalyNuclear Medicine Unit, TracerGLab, Department of Radiology, Radiotherapy and Hematology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, ItalyRadiotherapy Unit, Radiomics, Department of Radiology, Radiotherapy and Hematology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, ItalyRadiotherapy Unit, Radiomics, Department of Radiology, Radiotherapy and Hematology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, ItalyNuclear Medicine Unit, TracerGLab, Department of Radiology, Radiotherapy and Hematology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, ItalyNuclear Medicine Unit, TracerGLab, Department of Radiology, Radiotherapy and Hematology, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, ItalyRadiomics 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.https://www.mdpi.com/2075-4418/12/6/1329radiomicsartificial intelligencebrain tumorshead and neck tumorslung tumorsbreast tumors |
| spellingShingle | David Morland Elizabeth Katherine Anna Triumbari Luca Boldrini Roberto Gatta Daniele Pizzuto Salvatore Annunziata Radiomics in Oncological PET Imaging: A Systematic Review—Part 1, Supradiaphragmatic Cancers Diagnostics radiomics artificial intelligence brain tumors head and neck tumors lung tumors breast tumors |
| 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 | radiomics artificial intelligence brain tumors head and neck tumors lung tumors breast tumors |
| url | https://www.mdpi.com/2075-4418/12/6/1329 |
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