Low-dose CT with automatic tube current modulation, adaptive statistical iterative reconstruction, and low tube voltage for the diagnosis of renal colic: impact of body mass index.

Abstract

OBJECTIVE:

The objective of our study was to evaluate the impact of body mass index (BMI) on dose, diagnostic performance, and image quality of a low-dose CT examination for renal colic.

MATERIALS AND METHODS:

This retrospective study included all patients who underwent a low-dose CT examination for renal colic performed during the year 2012 with automatic tube current modulation, adaptive statistical iterative reconstruction, and a low tube voltage (kV). Three readers independently reviewed all images for the presence of renal colic and evaluated diagnostic confidence and image quality. The results and doses were compared among patients grouped by body mass index (BMI) and between patients with a BMI<25 and those with a BMI≥25.

RESULTS:

Eighty-six patients were included in the study: 39 patients had a BMI<25 and 47 had a BMI≥25. No statistically significant difference was found between the accuracy rates for the diagnosis of renal colic when the rates of the three independent readers were averaged for both BMI groups (95.7% vs 96.4%, respectively; p=0.83). Image quality and diagnostic confidence scores were significantly better for patients with a BMI≥25 than for patients with a BMI<25 (mean image quality score, 3.7 vs 3.4, p<0.001; mean diagnostic confidence score, 2.8 vs 2.5, p<0.001). The mean radiation dose for patients with a BMI<25 was 2.4 mGy compared with 3.7 mGy for patients with a BMI≥25 (p<0.001).

CONCLUSION:

The diagnostic performance of our low-dose CT protocol for renal colic was excellent for all patients, and image quality and diagnostic confidence were significantly better for patients with a BMI≥25. However, our protocol also required exposure to a greater dose of radiation for these overweight and obese patients.

• Authors: Alban Gervaise, Pierre Naulet, Florence Beuret, Christelle Henry, Matthieu Pernin, Yann Portron, Marie Lapierre-Combes
• Journal: AJR. American journal of roentgenology (AJR Am J Roentgenol) Vol. 202 Issue 3 Pg. 553-60 (Mar 2014) ISSN: 1546-3141 [Electronic] United States
• PMID: 24555591 (Publication Type: Journal Article)

Topics

• Adult
• Aged
• Aged, 80 and over
• Artifacts
• Body Mass Index
• Data Interpretation, Statistical
• Female
• France (epidemiology)
• Humans
• Male
• Middle Aged
• Prevalence
• Radiation Dosage
• Radiation Protection (statistics & numerical data)
• Radiographic Image Enhancement (methods)
• Radiographic Image Interpretation, Computer-Assisted (methods)
• Renal Colic (diagnostic imaging, epidemiology)
• Reproducibility of Results
• Risk Factors
• Sensitivity and Specificity
• Tomography, X-Ray Computed (statistics & numerical data)