Background: Continuous contrast-enhanced ultrasound (CEUS) video is a challenging direction for radiomics research. We aimed to evaluate machine learning (ML) approaches with radiomics combined with the XGBoost model and a convolutional neural network (CNN) for discriminating between benign and malignant lesions in CEUS videos with a duration of more than 1 min.
Methods: We gathered breast CEUS videos of 109 benign and 81 malignant tumors from two centers.
Stevens-Johnson syndrome/toxic epidermal necrolysis (SJS/TEN) is a rare adverse cutaneous reaction with a low incidence and high mortality. Despite posing a serious threat to patients' health and lives, there is no high-quality evidence for a standard treatment regimen. Here we report the case of a 62-year-old man with stage IV pancreatic cancer who experienced immunotherapy-induced SJS/TEN.
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