Increased Prevalence of Coronary Atherosclerosis in Cancer Survivors: A Retrospective Matched Cross-sectional Study with Coronary CT Angiography.

Background: Cancer and cancer treatment may accelerate the development of cardiovascular disease. With the improved prognosis of cancer survivors, cardiovascular events are increasing in this patient group. However, it is unknown whether the prevalence of coronary atherosclerosis is increased in patients with a history of cancer.

Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models.

Purpose: Medical reports, governed by HIPAA regulations, contain personal health information (PHI), restricting secondary data use. Utilizing natural language processing (NLP) and large language models (LLM), we sought to employ publicly available methods to automatically anonymize PHI in free-text radiology reports.

Materials And Methods: We compared two publicly available rule-based NLP models (spaCy; NLP, accuracy-optimized; NLP, speed-optimized; iteratively improved on 400 free-text CT-reports (test set)) and one offline LLM approach (LLM-model, LLaMa-2, Meta-AI) for PHI-anonymization.

Arterial inflammation on [F]FDG PET/CT in melanoma patients treated with and without immune checkpoint inhibitors: CHECK-FLAME I.

Background And Aims: Immune checkpoint inhibitors (ICIs) revolutionized cancer treatment. However, ICIs may increase the immune response to non-tumor cells, possibly resulting in increased arterial inflammation, raising the risk of atherosclerotic events. Nevertheless, malignancies may induce a pro-inflammatory state and the association between ICIs and arterial inflammation remains to be clarified.