SynthesisThe American journal of emergency medicine2020
Diagnostic value of CT contrast extravasation for major arterial injury after pelvic fracture: A meta-analysis.
Synthesis in The American journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Accuracy of Contrast Extravasation on Computed Tomography for Diagnosing Severe Pelvic Hemorrhage in Pelvic Trauma Patients: A Meta-Analysis.Medicina (Kaunas, Lithuania) · 2021Pooled it
- Explainable Knowledge-Guided Algorithm for Contrast Extravasation Detection on Computed Tomography.IEEE journal of translational engineering in health and medicine · 2026Article
- Predictors of the need for angioembolization in blunt pelvic trauma.Trauma surgery & acute care open · 2026Article
- Pelvic Trauma: Anatomy and Interventions.Seminars in interventional radiology · 2025Review
- Pelvic fractures in blunt trauma patients: A comparative study.World journal of orthopedics · 2024Article
- Pelvic ring fractures with concomitant large hematomas: diagnostic investigation with arteriography and eventual embolization in 157 trauma patients, with or without contrast extravasation at emergency CT.La Radiologia medica · 2023Article
- Value of contrast-enhanced arterial phase imaging in addition to portovenous phase in CT evaluation of blunt abdominopelvic trauma.European radiology · 2023Article
- Multi-slice spiral computed tomography in diagnosing unstable pelvic fractures in elderly and effect of less invasive stabilization.World journal of clinical cases · 2022Article
- The accuracy of contrast-enhanced computed tomography scans to detect postpartum haemorrhage: an observational study.BMC pregnancy and childbirth · 2022Observational
- Volumetric Markers of Body Composition May Improve Personalized Prediction of Major Arterial Bleeding After Pelvic Fracture: A Secondary Analysis of the Baltimore CT Prediction Model Cohort.Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes · 2021Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
purposeWe conducted a meta-analysis to determine diagnostic performance of CT intravenous contrast extravasation (CE) as a sign of angiographic bleeding and need for angioembolization after pelvic fractures. MATERIALS AND
methodsA systematic literature search combining the concepts of contrast extravasation, pelvic trauma, and CT yielded 206 potentially eligible studies. 23 studies provided accuracy data or sufficient descriptive data to allow 2x2 contingency table construction and provided 3855 patients for meta-analysis. Methodologic quality was assessed using the QUADAS-2 tool. Sensitivity and specificity were synthesized using bivariate mixed-effects logistic regression. Heterogeneity was assessed using the I2-statistic. Sources of heterogeneity explored included generation of scanner (64 row CT versus lower detector row) and use of multiphasic versus single phase scanning protocols.
resultsOverall sensitivity and specificity were 80% (95% CI: 66-90%, I2 = 92.65%) and 93% (CI: 90-96, I2 = 89.34%), respectively. Subgroup analysis showed pooled sensitivity and specificity of 94% and 89% for 64- row CT compared to 69% and 95% with older generation scanners. CE had pooled sensitivity and specificity of 95% and 92% with the use of multiphasic protocols, compared to 74% and 94% with single-phase protocols.
conclusionThe pooled sensitivity and specificity of 64-row CT was 94 and 89%. 64 row CT improves sensitivity of CE, which was 69% using lower detector row scanners. High specificity (92%) can be maintained by incorporating multiphasic scan protocols.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.