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Computed Tomography with Low-dose Radiation Versus Standard-dose Radiation for Diagnosing Fractures: Systematic Review and Meta-analysis

Overview
Journal Sao Paulo Med J
Specialty General Medicine
Date 2021 Aug 4
PMID 34346965
Citations 1
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Abstract

Background: Computed tomography (CT) accounts for 13% of all radiological examinations in the United States and 40-70% of the radiation that patients receive. Even with the advent of magnetic resonance imaging (MRI), CT continues to be the gold standard for diagnosing bone fractures. There is uncertainty as to whether CT with a low radiation dose has a fracture detection rate similar to that of standard-dose CT.

Objective: To determine the detection rate of low-dose radiation CT and standard-dose radiation CT for fractures, in patients with suspected fractures.

Design And Setting: Systematic review of comparative studies on diagnostic accuracy within the evidence-based health program at a federal university in São Paulo (SP), Brazil.

Methods: We searched the electronic databases Cochrane Library, MEDLINE, EMBASE and LILACS up to June 29, 2020, for studies evaluating the detection rates of low-dose CT and standard-dose CT for diagnosing bone fractures. The Research Triangle Institute (RTI) item bank tool was used for methodological quality evaluation.

Results: The fracture detection rate according to the number of bones evaluated, using CT with low-dose radiation was 20.3%, while with standard-dose radiation it was 19.2%, and the difference between the methods was not significant. The fracture detection rate according to the number of patients, using CT with low-dose radiation was 56.0%, while with standard-dose radiation it was 58.7%, and this difference between the methods was not significant, either.

Conclusion: CT with low-dose radiation presented detection rates similar to those of CT with standard-dose radiation, regardless of the bones evaluated.

Registration Number: CRD42019148491 at the PROSPERO database.

Citing Articles

Osteoporotic vertebral compression fracture (OVCF) detection using artificial neural networks model based on the AO spine-DGOU osteoporotic fracture classification system.

Liawrungrueang W, Cho S, Kotheeranurak V, Jitpakdee K, Kim P, Sarasombath P N Am Spine Soc J. 2024; 19:100515.

PMID: 39188670 PMC: 11345903. DOI: 10.1016/j.xnsj.2024.100515.

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