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Radiomics Analysis in Ovarian Cancer: A Narrative Review.

Authors :
Arezzo, Francesca
Loizzi, Vera
La Forgia, Daniele
Moschetta, Marco
Tagliafico, Alberto Stefano
Cataldo, Viviana
Kawosha, Adam Abdulwakil
Venerito, Vincenzo
Cazzato, Gerardo
Ingravallo, Giuseppe
Resta, Leonardo
Cicinelli, Ettore
Cormio, Gennaro
Source :
Applied Sciences (2076-3417); 9/1/2021, Vol. 11 Issue 17, p7833, 12p
Publication Year :
2021

Abstract

Ovarian cancer (OC) is the second most common gynecological malignancy, accounting for about 14,000 deaths in 2020 in the US. The recognition of tools for proper screening, early diagnosis, and prognosis of OC is still lagging. The application of methods such as radiomics to medical images such as ultrasound scan (US), computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET) in OC may help to realize so-called "precision medicine" by developing new quantification metrics linking qualitative and/or quantitative data imaging to achieve clinical diagnostic endpoints. This narrative review aims to summarize the applications of radiomics as a support in the management of a complex pathology such as ovarian cancer. We give an insight into the current evidence on radiomics applied to different imaging methods. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20763417
Volume :
11
Issue :
17
Database :
Complementary Index
Journal :
Applied Sciences (2076-3417)
Publication Type :
Academic Journal
Accession number :
152402299
Full Text :
https://doi.org/10.3390/app11177833