The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study).
Valentina ChiappaGiorgio BoganiMatteo InterlenghiChristian SalvatoreFrancesca BertolinaGiuseppe SarpietroMauro SignorelliIsabella CastiglioniFrancesco RaspagliesiPublished in: Journal of ultrasound (2020)
Radiomics is a promising tool in improving preoeprative work-up of women diagnosed with OMs. Even in the absence of the subjective impression of expert ultrasound examiner, radiomics allows to easily identify patients with ovarian cancer. Future validation studies on larger series are needed.
Keyphrases
- contrast enhanced
- lymph node metastasis
- machine learning
- magnetic resonance imaging
- polycystic ovary syndrome
- magnetic resonance
- ultrasound guided
- computed tomography
- artificial intelligence
- contrast enhanced ultrasound
- big data
- type diabetes
- adipose tissue
- insulin resistance
- pregnant women
- sleep quality
- metabolic syndrome
- skeletal muscle
- cervical cancer screening
- fine needle aspiration
- physical activity