In the present study, we analyzed qualitative survey data from 538 school psychologists across schools in the United States regarding their perceptions of school safety issues and potential strategies to address school safety. There are only a few studies exploring the experiences and perspectives of school psychologists that have been based on large-scale qualitative data. Using inductive coding, three themes for safety concerns emerged: (a) aggressive behaviors from students, (b) mental and behavioral needs, and (c) limited staffing.
View Article and Find Full Text PDFCancer disrupts intratumoral innate-adaptive immune crosstalk, but how the systemic immune landscape evolves during breast cancer progression remains unclear. We profiled circulating immune cells in stage I-III and stage IV triple-negative breast cancer (TNBC) patients and healthy donors (HDs). Metastatic TNBC (mTNBC) patients had reduced T cells, dendritic cells, and differentiated B cells compared to non-metastatic TNBC patients and HDs, partly linked to prior chemotherapy.
View Article and Find Full Text PDFImaging-guided percutaneous core needle biopsy is currently the most common technique for the investigation of potentially malignant bone lesions. It allows precise needle placement and better visual guidance, leading to improved diagnostic accuracy. Needle tract seeding (NTS) is a rare complication of biopsies in general, and its true incidence remains unknown.
View Article and Find Full Text PDFHyperphosphatemic familial tumoral calcinosis (HFTC) is a rare, autosomal recessive condition characterized by fibroblast growth factor 23 signaling pathway dysregulation, hyperphosphatemia and ectopic calcifications (which manifest as joint motion limitations), inflammatory bony pain, and disability. Given the rarity and multiorgan involvement of HFTC, a multidisciplinary approach including Dermatology, Ophthalmology, Dentistry, Nephrology, Endocrinology, Rheumatology, and Genetics is necessary for diagnosis and treatment. We present a multidisciplinary diagnostic and treatment approach for a patient with HFTC due to a gene mutation with unique imaging highlighting the extent of calcinosis seen in HFTC.
View Article and Find Full Text PDFBackground: Discrepancies in medical data sets can perpetuate bias, especially when training deep learning models, potentially leading to biased outcomes in clinical applications. Understanding these biases is crucial for the development of equitable healthcare technologies. This study employs generative deep learning technology to explore and understand radiographic differences based on race among patients undergoing total hip arthroplasty.
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