9 Result(s)

Article

Non-contrast CT synthesis using patch-based cycle-consistent generative adversarial network (Cycle-GAN) for radiomics and deep learning in the era of COVID-19

Handcrafted and deep learning (DL) radiomics are popular techniques used to develop computed tomography (CT) imaging-based artificial intelligence models for COVID-19 research. However, contrast heterogeneity ...

Reza Kalantar, Sumeet Hindocha, Benjamin Hunter, Bhupinder Sharma… in Scientific Reports (2023)

Article

Imaging in metastatic breast cancer, CT, PET/CT, MRI, WB-DWI, CCA: review and new perspectives

Breast cancer is the most frequent cancer in women and remains the second leading cause of death in Western countries. It represents a heterogeneous group of diseases with diverse tumoral behaviour, treatment ...

Dione Lother, Marie Robert, Elliot Elwood, Sam Smith, Nina Tunariu… in Cancer Imaging (2023)

Article

A retrospective study of MYC rearranged diffuse large B-cell lymphoma in the context of the new WHO and ICC classifications

Dima El-Sharkawi, Amit Sud, Catherine Prodger, Jahanzaib Khwaja… in Blood Cancer Journal (2023)

Article

Does the addition of whole-body MRI to routine imaging influence real-world treatment decisions in metastatic breast cancer?

The assessment of metastatic breast cancer (MBC) can be limited with routine imaging such as computed tomography (CT) especially in bone-only or bone-predominant disease. This analysis investigates the effects...

Basrull N. Bhaludin, Nina Tunariu, Nishanthi Senthivel, Amna Babiker… in Cancer Imaging (2022)

Article

Malignant mesothelioma with unexpected contralateral mediastinal shift: a case report

Contralateral mediastinal shift due to pleural mesothelioma tissue, rather than a pleural effusion, is an unusual clinical feature of mesothelioma.

James S Myerson, Shibani Nicum, Bhupinder Sharma… in Journal of Medical Case Reports (2008)