Oncology ImagingArchives
An integrated radiomics and deep learning model on multisequence MRI for preoperative prediction of lymphovascular space invasion in endometrial cancer
Oncology Imaging 5 min.
Endometrial cancer (EC) is the second most common gynecologic malignancy in China, with an increasing incidence [1]. Contemporary treatment strategies increasingly emphasize personalized care. The 2021 joint guidelines from the European Society of Gynecological Oncology (ESGO), the European Society for...
Development and validation of a CT-radiomics model for the diagnosis of lung cancer associated with cystic airspaces: a multicenter study
Oncology Imaging 4 min.
Lung cancer associated with cystic airspaces (LCCA) is a relatively uncommon form of lung malignancy. The Fleischner Society initially defined lung cystic airspace in 1996 as an enlarged peripheral air-containing unit surrounded by a variable thickness wall [1]. In the early stages, cystic airspaces...
Multi-parametric MRI radiomics predicts different HER2 expression in breast cancer
Oncology Imaging 5 min.
Breast cancer is one of the most commonly diagnosed malignancies among women worldwide, with its incidence continuing to rise steadily [1]. The high degree of heterogeneity in breast cancer presents significant challenges for effective treatment [2]. Therefore, in order to alleviate the substantial disease...
Integrating time-dependent diffusion MRI and intravoxel incoherent motion for predicting NPI and molecular subtypes in breast cancer
Oncology Imaging 5 min.
Breast cancer (BC) is a highly heterogeneous disease, characterized by variations in clinical outcomes and response to treatment. To significantly reduce mortality, it is crucial to adopt personalized management strategies that require precise patient stratification based on clinical, histopathological,...
