Radiology: Imaging Cancer

Theranostic Capacity of a Mucin 16–targeted Antibody for Ovarian Cancer

Multiparameter MRI and Clinical Factors for Predicting Early Response to Chemoradiotherapy in Cervical Cancer

Evaluating Performance of a Deep Learning–based Artificial Intelligence Model for Ovarian Tumor Classification Using a Multicenter CT Dataset

A computer-aided diagnosis model for preoperative classification of ovarian tumors, developed using a multicenter CT dataset, demonstrated comparable performance to US-based models and radiologists on the internal and external test sets, illustrating challenges due to the heterogeneous nature of the disease and multicenter data.

Lymph Node Metastases Prediction in Cervical Cancer Using Time-Dependent Diffusion MRI and Macromolecular Proton Fraction Imaging

Time-dependent diffusion MRI and macromolecular proton fraction mapping were effective for predicting lymph node metastasis in cervical cancer; the combination of cellularity, maximum tumor diameter, and macromolecular proton fraction showed the best diagnostic performance.