Background: Growing concerns regarding radiation exposure in children have led to recommendations to minimize computed tomography imaging for appendicitis. We hypothesized that within a metropolitan hospital system (1 children's hospital and 8 non-children's hospitals), use of preoperative computed tomography is much greater in non-children's hospitals.
Methods: We conducted a retrospective study of patients <18 years of age undergoing appendectomy for acute appendicitis from April 2012 to April 2015. Patient demographics, location, and imaging modality (computed tomography and ultrasonography) were evaluated.
Results: A total of 1,448 pediatric patients were identified (children's hospital = 215, 15%; non-children's hospitals = 1,233, 85%). Children's hospital patients had fewer computed tomography scans (23% vs 70%, P < .01) and more ultrasonography (75% vs 20%, P < .01). On multivariate regression, increased preoperative computed tomography use was significantly associated with non-children's hospitals (odds ratio 7.6, 95% confidence interval 5.4-10.8). At non-children's hospitals, older age (age >10: odds ratio 2.4, 95% confidence interval 1.8-3.1) and higher patient weight (>45 kg odds ratio 2.0, 95% confidence interval 1.4-2.8) predicted computed tomography use. Children presenting at a children's hospital were much more likely to undergo ultrasonography (odds ratio 11.7, 95% confidence interval 8.3-16.6).
Conclusion: There are significant differences in imaging modalities for pediatric appendicitis between a children's hospital and non-children's hospitals. Further investigation is needed to identify other factors contributing to imaging preference in the pediatric population in order to establish clinical practice guidelines to decrease or prevent unnecessary radiation exposure in children.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.surg.2016.09.042 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Association Between the Ultrasound Evaluation of Muscle Mass and Adverse Outcomes in Critically Ill Patients: A Prospective Cohort Study.
Anesth Analg
February 2025
SC Terapia Intensiva Neurochirurgica, Ospedale San Carlo Borromeo, ASST Santi Paolo e Carlo, Milano, Italy.
Background: Computed tomography (CT)-derived low muscle mass is associated with adverse outcomes in critically ill patients. Muscle ultrasound is a promising strategy for quantitating muscle mass. We evaluated the association between baseline ultrasound rectus femoris cross-sectional area (RF-CSA) and intensive care unit (ICU) mortality.
View Article and Find Full Text PDFLow-cost male urogenital simulator for penile implant surgery training: a 3D printing approach.
3D Print Med
January 2025
Department of Surgical & Interventional Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Background: Penile implant surgery is the standard surgical treatment for end-stage erectile dysfunction. However, the growing complexity of modern high-tech penile prostheses has increased the demand for more practical training opportunities. The most advanced contemporary training methods involve simulation training using cadavers, with costs exceeding $5,000 per cadaver, inclusive of biohazard fees.
View Article and Find Full Text PDFCoronary artery calcification progression and renal involvement in patients with systemic lupus erythematosus: a longitudinal cohort study.
Rheumatol Int
January 2025
Copenhagen Research Center for Autoimmune Connective Tissue Diseases (COPEACT), Copenhagen University Hospital, Rigshospitalet, Denmark.
To investigate if progression of coronary artery calcification (CAC) in patients with systemic lupus erythematosus (SLE) is associated with renal and traditional cardiovascular risk factors as well as incidence of myocardial infarctions. CAC progression was evaluated by cardiac computed tomography (CT) at baseline and after 5 years. Multivariable Poisson regression was applied to investigate associations between CAC progression and baseline values for traditional cardiovascular risk factors, CAC, SLE disease duration, lupus nephritis, and renal function.
View Article and Find Full Text PDFApplication of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.
Int J Cardiovasc Imaging
January 2025
Artificial Intelligence Center, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radiation exposure and the need for specialized personnel. This study aims to develop an artificial intelligence (AI) method to automatically detect CAC from non-gated, freely-breathing, low-dose CT images obtained from positron emission tomography/computed tomography scans.
View Article and Find Full Text PDFAssessment of hard tissue changes after horizontal guided bone regeneration with the aid of deep learning CBCT segmentation.
Clin Oral Investig
January 2025
Department of Periodontology, Semmelweis University, Budapest, Hungary.
Objectives: To investigate the performance of a deep learning (DL) model for segmenting cone-beam computed tomography (CBCT) scans taken before and after mandibular horizontal guided bone regeneration (GBR) to evaluate hard tissue changes.
Materials And Methods: The proposed SegResNet-based DL model was trained on 70 CBCT scans. It was tested on 10 pairs of pre- and post-operative CBCT scans of patients who underwent mandibular horizontal GBR.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!