| Added by | JPPOUGET |
|---|---|
| Group name | EquipeJPP |
| Item Type | Journal Article |
| Title | Radiomics in radiation oncology for gynecological malignancies: a review of literature |
| Creator | Michalet et al. |
| Author | Morgan Michalet |
| Author | David Azria |
| Author | Marion Tardieu |
| Author | Hichem Tibermacine |
| Abstract | Radiomics is the extraction of a significant number of quantitative imaging features with the aim of detecting information in correlation with useful clinical outcomes. Features are extracted, after delineation of an area of interest, from a single or a combined set of imaging modalities (including X-ray, US, CT, PET/CT and MRI). Given the high dimensionality, the analytical process requires the use of artificial intelligence algorithms. Firstly developed for diagnostic performance in radiology, it has now been translated to radiation oncology mainly to predict tumor response and patient outcome but other applications have been developed such as dose painting, prediction of side-effects, and quality assurance. In gynecological cancers, most studies have focused on outcomes of cervical cancers after chemoradiation. This review highlights the role of this new tool for the radiation oncologists with particular focus on female GU oncology. |
| Publication | The British Journal of Radiology |
| Volume | 94 |
| Issue | 1125 |
| Pages | 20210032 |
| Date | 2021-09-01 |
| Journal Abbr | Br J Radiol |
| Language | eng |
| DOI | 10.1259/bjr.20210032 |
| ISSN | 1748-880X |
| Short Title | Radiomics in radiation oncology for gynecological malignancies |
| Library Catalog | PubMed |
| Extra | Number: 1125 PMID: 33882246 PMCID: PMC9327766 |
| Tags | Diagnostic Imaging, Female, Genital Neoplasms, Female, Genitalia, Female, Humans, Image Interpretation, Computer-Assisted, Radiation Oncology, review |
| Date Added | 2023/11/23 - 12:48:34 |
| Date Modified | 2023/11/23 - 12:48:34 |
| Notes and Attachments | PubMed entry (Attachment) Texte intégral (Attachment) |
Institut de Recherche en Cancérologie de
