Radiomics of high-grade serous ovarian cancer: association between quantitative CT features, residual tumour and disease progression within 12 months

Objectives To determine if radiomic features, alone or combined with clinical data, are associated with residual tumour (RT) at surgery, and predict the risk of disease progression within 12 months (PD12) in ovarian cancer (OC) patients. Methods This retrospective study enrolled 101 patients accordi...

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Veröffentlicht in:	European radiology 2018-11, Vol.28 (11), p.4849-4859
Hauptverfasser:	Rizzo, Stefania, Botta, Francesca, Raimondi, Sara, Origgi, Daniela, Buscarino, Valentina, Colarieti, Anna, Tomao, Federica, Aletti, Giovanni, Zanagnolo, Vanna, Del Grande, Maria, Colombo, Nicoletta, Bellomi, Massimo
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Breast cancer Cancer Cluster analysis Clustering Computed tomography Diagnostic Radiology Disease Progression Feature extraction Female Health risks Homogeneity Humans Imaging Imaging, Three-Dimensional Internal Medicine Interventional Radiology Medical prognosis Medicine Medicine & Public Health Middle Aged Multivariate analysis Neoplasm, Residual - diagnosis Neuroradiology Oncology Ovarian cancer Ovarian Neoplasms - diagnosis Ovarian Neoplasms - surgery Ovariectomy Patients Phantoms, Imaging Preoperative Period Prognosis Radiology Radiomics Regression analysis Regression models Reproducibility Reproducibility of Results Retrospective Studies Risk assessment Statistical tests Surgery Tomography, X-Ray Computed - methods Tumors Ultrasound
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