Objective To investigate radiomics features extracted from PET and CT components of 18F-
FDG PET/CT images integrating clinical factors and metabolic parameters of PET to predict …

Purpose: We aim to develop and validate PET/CT image-based radiomics to determine the
Ki-67 status of high-grade serous ovarian cancer (HGSOC), in which we use the metabolic …

Purpose Ovarian cancer is the eighth most common malignancy among women and has a
high mortality rate. Prognostic factors able to drive an effective therapy are essential. 18 F …

Purpose To develop and validate a radiomics nomogram for predicting early recurrence in
high-grade serous ovarian cancer (HGSOC) patients. Materials and Methods From May …

Objective This study aimed to explore the value of a radiomics nomogram to identify
platinum resistance and predict the progression-free survival (PFS) of patients with …

OBJECTIVE. The purpose of our study was to develop a radiomics model based on
preoperative MRI and clinical information for predicting recurrence-free survival (RFS) in …

Objectives: We used radiomic analysis to establish a radiomic signature based on
preoperative contrast enhanced computed tomography (CT) and explore its effectiveness as …

Less than 35% of advanced patients with high-grade serous ovarian cancer (HGSOC)
survive for 5 years after diagnosis. Here, we developed radiomics-based models to predict …

Introduction We aimed to predict platinum sensitivity using routine baseline multimodal
magnetic resonance imaging (MRI) and established clinical data in a radiomics framework …

Purpose To explore values of intra-and peritumoral CT-based radiomics for predicting
recurrence in high-grade serous ovarian cancer (HGSOC) patients. Methods This study …