Fat volume measurements as a predictor of image noise in coronary computed tomography angiography

Rami M. Abazid, Osama A. Smettei, Ahmad Almeman, Sawsan Sayed, Hanaa Alsaqqa, Salma M. Abdelmageed, Fahad J. Alharbi, Abdullah M. Alhabib, Mouaz H. Al-Mallah

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Introduction: Image noise can negatively affect the overall quality of coronary computed tomography angiography (CCTA). Objectives: The purpose of this study was to evaluate the relationship between image noise and fat volumes in the chest wall. We also aimed to compare these with other patient-specific predictors of image noise, such as body weight (BW) and body mass index (BMI). Methods: We undertook a cross-sectional, single-center study. A tube voltage of 100 kV was used for patients with BW <85 kg and 120 kV for BW ≥85 kg. The image noise in the aortic root, single-slice fat volume (SFV) at the level of the left main coronary artery and the total fat volume of the chest (TFV) were analyzed. Results: A total of 132 consecutive patients were enrolled (mean age ± standard deviation, 51 ± 11 years; 64% male). The mean image noise was 30.5 ± 11 Hounsfield units (HU). We found that patients with image noise >30 HU had significantly higher SFV (75 ± 33 vs. 51 ± 24, p < 0.0001) and TFV (2206 ± 927 vs. 1815 ± 737, p < 0.01) compared with patients having noise ≤30 HU, whereas BW and BMI showed no significant difference (78 ± 13 vs. 81 ± 14, p < 0.34) and (28.7 ± 4.7 vs. 26.8 ± 3.8, p < 0.19), respectively. Linear regression analysis showed that image noise has better correlation with SFV (R = 0.399; p < 0.0001); and TFV (R = 0, p < 0.009) than BMI (R = 0.154, p < 0.039) and BW (R = –0.102, p = 0.12). Conclusions: Fat volume measurements of the chest wall can predict CCTA image noise better than other patient-specific predictors, such as BW and BMI.

Original languageEnglish (US)
Pages (from-to)32-40
Number of pages9
JournalJournal of the Saudi Heart Association
Volume31
Issue number1
DOIs
StatePublished - Jan 2019

Keywords

  • Body mass index
  • Body weight
  • Coronary computed tomography angiography
  • Fat volumes
  • Image noise

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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