Radiomics in Gynaecological Imaging: A State-of-the-Art Review
Source abstract
Abstract
Radiomics is an emerging field of research based on extracting mathematical descriptive features from medical images with the aim of improving diagnostic performance and providing increasing support to clinical decisions. In recent years, a number of studies have been published regarding different possible applications of radiomics in gynaecological imaging. Many fields have been explored, such as tumour diagnosis and staging, differentiation of histological subtypes, assessment of distant metastases, prediction of response to therapy, recurrence, and patients’ outcome. However, several studies are not robust, do not include validation cohorts, or lack reproducibility. On these bases, the purpose of this narrative review is to provide an overview of the most relevant studies in the literature on radiomics in gynaecological imaging. We focused on gynaecological malignancies, particularly endometrial, cervical, mesenchymal, and ovarian malignant pathologies.
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Research context
OpenAlex topics: Endometrial and Cervical Cancer Treatments · Ovarian cancer diagnosis and treatment · Radiomics and Machine Learning in Medical Imaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, 20900 Monza, Italy
Institute of Radiology, University Hospital of Padova, 35128 Padova, Italy
Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, 90127 Palermo, Italy
Radiology Department, Hospital Álvaro Cunqueiro, 36312 Vigo, Spain
School of Medicine, Università Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20100 Milano, Italy
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