Oncology ImagingArchives
Non-metastatic castration-resistant prostate cancer in the epoch of PSMA-ligand PET/CT: twilight?
Oncology Imaging 1 min.
The introduction of prostate-specific membrane antigen-ligand positron emission tomography/computerised tomography (PSMA-ligand PET/CT) into clinical practice has altered the prevalence of non‑metastatic (by conventional imaging) castration-resistant prostate cancer (nmCRPC). We herewith briefly...
Generative AI for spatial tumor growth on MRI: a proof-of-principle study in pediatric diffuse midline glioma
Oncology Imaging 1 min.
Magnetic resonance imaging (MRI) is a cornerstone of non-invasive diagnosis and response monitoring in neuro-oncology, and predictions of spatial tumor progression conditioned on the patients' anatomy are increasingly important. We present a proof-of-principle of personalized spatial tumor progression...
Multimodal deep learning model integrating electronic medical records and CT images for gallbladder cancer diagnosis: a retrospective multicenter study in China
Oncology Imaging 1 min.
Gallbladder cancer (GBC) is a rare gastrointestinal malignancy with a global 5-year survival rate of less than 5%. Early diagnosis is challenging owing to the lack of specific clinical symptoms. Additionally, the high heterogeneity of gallbladder tumors limits the clinical utility of unimodal deep-learning...
Pre-treatment prediction of microsatellite instability in colon cancer: a nomogram model combining clinicopathological features and pre-treatment CT-based radiomics
Oncology Imaging 1 min.
Determining microsatellite instability (MSI) status in colon cancer is crucial for selecting treatment strategies in advanced stages. Thus, accurately identifying MSI status before treatment is essential. Objective: This study aims to evaluate the utility of nomogram model that integrates clinicopathological...
