№ files_lp_3_process_9_66130
Retrospective scientific study presenting statistical models to predict quality control outcomes of lead and lead-free radiation protective aprons in a hospital setting based on non-radiographic predictors and fluoroscopic inspection data from 2018 to 2023.
Year: 2018–2023
Region / City: Ghent, Belgium
Institution: General hospital in Ghent
Authors: Pieter-Jan Kellens; An De Hauwere; Sandrine Bayart; Klaus Bacher; Tom Loeys
Corresponding Author: Pieter-Jan Kellens
Affiliation: Health and Safety Department; Medical Physics Experts
Document Type: Scientific research article
Subject: Quality control of personal radiation protective equipment
Keywords: Quality control; radiation protection; occupational safety; statistics
Study Design: Retrospective observational study with predictive modeling
Data Period: 2018–2023
Equipment: Siemens Luminos dRF (fluoroscopy system)
Standard Referenced: IEC 61331-3:2014
Outcome Measure: QC result (pass or rejected)
Predictors: Brand; age; size; type; visual defects; department
Statistical Methods: Logistic regression; random forests; chi-square test; ROC analysis
Rejection Criteria: Total defect area > 670 mm² or single tear > 15 mm²
Lead Equivalence: 0.50/0.25 mm
Price: 8 / 10 USD
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