THE RELATIONSHIP BETWEEN BODY MASS INDEX AND WAIST CIRCUMFERENCE ON THE IMAGE QUALITY OF COMPUTED RADIOGRAPHY ABDOMEN

Authors

  • Abdul Aziz Ismail Universiti Kuala Lumpur, RCMP
  • Mazlyfarina Mohamad Universiti Kebangsaan Malaysia Kuala Lumpur
  • Rozilawati Ahmad Universiti Kebangsaan Malaysia Kuala Lumpur
  • Nur Shakila Othman Universiti Kuala Lumpur

Keywords:

Computed radiography, abdomen, image quality, waist circumference, BMI

Abstract

Body sizes of patients undergoing x-ray examination vary in accordance with the range of body mass index (BMI) and waist circumference (WC). The aims of this study were to determine the relationship between BMI and waist circumference on the image quality of computed radiography (CR) abdomen. Anteroposterior (AP) supine abdomen projection was conducted on 69 patients from Hospital Raja Perempuan Bainun, Ipoh using a Siemens Multixtop general x-ray unit and the images were processed with CR Carestream Direct view Max. Samples were categorized into normal BMI (n = 23), overweight (n = 23), and obese (n = 23). Image quality was measured quantitatively in signal to noise ratio (SNR) and qualitatively, visual grading analysis (VGA) based on the European Commission (CEC) image criteria. Data were analyzed by using analysis of variance (ANOVA) and Pearson's correlation for comparison and relationship between BMI, WC and the image quality. Results showed a significant difference (p < 0.01) in image quality of VGAmean (normal 4.40 ± 0.15, overweight 4.35 ± 0.13, obese 4.03 ± 0.34) and SNRmean (normal 60.79 ± 2.19, overweight 59.66 ± 1.68, obese 55.78 ± 4.31). A moderate to high negative correlation exists between SNR (r = -0.73), VGA (r = -0.7) with BMI (p < 0.01), and SNR (r = -0.83), VGA (r = -0.79) with WC (p < 0.01). This study suggests that WC has a higher negative linear relationship compared to BMI and could also be used as a better image quality predictor for CR abdominal examination.DOI : http://dx.doi.org/10.17576/JSKM-2020-1801-02

Author Biographies

Abdul Aziz Ismail, Universiti Kuala Lumpur, RCMP

LecturerDiploma in Medical ImagingFaculty of Pharmacy & Health SciencesUniKL RCMPNo.3, Jalan Greentown, 30450 Ipoh, Perak

Mazlyfarina Mohamad, Universiti Kebangsaan Malaysia Kuala Lumpur

Head of ProgramDiagnostic Imaging and Radiotherapy ProgramSchool of Applied Health SciencesFaculty of Health SciencesUniversiti Kebangsaan Malaysia Kuala Lumpur 

Rozilawati Ahmad, Universiti Kebangsaan Malaysia Kuala Lumpur

LecturerDiagnostic Imaging and Radiotherapy ProgramSchool of Applied Health SciencesFaculty of Health SciencesUniversiti Kebangsaan Malaysia Kuala Lumpur

Nur Shakila Othman, Universiti Kuala Lumpur

LecturerFaculty of Pharmacy and Health SciencesUniversiti Kuala LumpurRoyal College of Medicine Perak, Ipoh, Perak

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Published

2020-03-12

Issue

Section

Medical Imaging and Radiation Therapy