A new era in cancer therapy emerged with the arrival of immune-checkpoint inhibitors (ICIs), followed by a new cadre of immune-related adverse events that affect up to 40% of patients. Literature on the pathological features associated with these events is still limited. Therefore, to expand our knowledge of the histopathologic spectrum of pulmonary changes, we conducted a case study series analysis on 16 non-neoplastic lung samples collected during or after ICI therapy.
View Article and Find Full Text PDFComput Biol Med
May 2024
Despite being one of the most prevalent forms of cancer, prostate cancer (PCa) shows a significantly high survival rate, provided there is timely detection and treatment. Computational methods can help make this detection process considerably faster and more robust. However, some modern machine-learning approaches require accurate segmentation of the prostate gland and the index lesion.
View Article and Find Full Text PDFBackground: Whole-body diffusion weighted imaging (WB-DWI) has proven value to detect multiple myeloma (MM) lesions. However, the large volume of imaging data and the presence of numerous lesions makes the reading process challenging. The aim of the current study was to develop a semi-automatic lesion segmentation algorithm for WB-DWI images in MM patients and to evaluate this smart-algorithm (SA) performance by comparing it to the manual segmentations performed by radiologists.
View Article and Find Full Text PDFWe report a case of a 26-year-old female patient treated with nivolumab for peritoneal implants from small-cell ovarian cancer. Pulmonary changes were depicted on follow-up examinations, namely, consolidations and scattered ground glass opacities, without any remarkable pulmonary complaints or laboratory changes. Both infectious and progressive diseases were ruled out.
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