Radiomics Analysis in Ovarian Cancer: A Narrative Review
| Autor: | Francesca Arezzo, Vincenzo Venerito, Giuseppe Ingravallo, Gennaro Cormio, Leonardo Resta, Gerardo Cazzato, Adam Abdulwakil Kawosha, Vera Loizzi, V Cataldo, Daniele La Forgia, Ettore Cicinelli, Marco Moschetta, Alberto Tagliafico |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Technology QH301-705.5 Ultrasound scan precision medicine QC1-999 Radiomics medicine General Materials Science Biology (General) Instrumentation QD1-999 Fluid Flow and Transfer Processes medicine.diagnostic_test business.industry Process Chemistry and Technology Physics General Engineering Magnetic resonance imaging Precision medicine medicine.disease Engineering (General). Civil engineering (General) Computer Science Applications Chemistry ovarian cancer machine learning Gynecological malignancy Positron emission tomography radiomics Narrative review Radiology TA1-2040 business Ovarian cancer |
| Zdroj: | Applied Sciences, Vol 11, Iss 7833, p 7833 (2021) |
| ISSN: | 2076-3417 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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