Publications by authors named "C M Pacella"
Article Synopsis
- - The study focuses on improving emergency department triage by integrating structured data (like demographics) and unstructured data (like clinical notes) to predict the urgency of patient cases accurately.
- - Data from the National Hospital Ambulatory Medical Care Survey was analyzed, and four machine learning models were tested on various data combinations to determine their effectiveness in predicting emergency severity.
- - Results showed that older age and certain medical conditions, such as chronic kidney disease, were significant predictors of urgency, with the Gradient Boosting model yielding the best predictive performance.
Purpose: To assess the efficacy, safety, and pain benefits of imaging-guided laser ablation (IGLA) in patients with radioiodine-refractory (RR) bone metastases from differentiated thyroid carcinoma (DTC).
Patients And Methods: The institutional medical records of patients with bone metastases from DTC treated with laser ablation (LA) were reviewed retrospectively. Local response, complications, and effects on pain relief were investigated.
No direct prospective studies comparing laser ablation (LA) and radiofrequency ablation (RFA) for debulking benign non-functioning thyroid nodules (BNTNs) exist. We aimed at comparing the efficacy and safety of both techniques in patients with solid or predominantly solid BNTN. This six-month, single-use, randomized, open-label, parallel trial compared the following primary endpoints between the RFA and LA groups six months after treatment: (i) nodule volume reduction expressed as a percentage of nodule volume at baseline; (ii) proportion of nodules with more than 50% reduction (successful rate).
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