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Correlation of patient weight and cross-sectional dimensions with subjective image quality at standard dose abdominal CT

  • Mannudeep K. Kalra
  • , Michael M. Maher
  • , Srinivasa R. Prasad
  • , M. Sikandar Hayat
  • , Michael A. Blake
  • , Jose Varghese
  • , Elkan F. Halpern
  • , Sanjay Saini

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: We evaluated the association between patients' weight and abdominal cross-sectional dimensions and CT image quality. Materials and Methods: We prospectively evaluated 39 cancer patients aged more than 65 years with multislice CT scan of abdomen. All patients underwent equilibrium phase contrast-enhanced abdominal CT with 4 slices (from top of the right kidney) obtained at standard tube current (240-280 mA). All other scanning parameters were held constant. Patients' weight was measured just prior to the study. Cross-sectional abdominal dimensions such as circumference, area, average anterior abdominal wall fat thickness and, anteroposterior and transverse diameters were measured in all patients. Two subspecialty radiologists reviewed randomized images for overall image quality of abdominal structures using 5-point scale. Non-parametric correlation analysis was performed to determine the association of image quality with patients' weight and cross-sectional abdominal dimensions. Results: A statistically significant negative linear correlation of 0.46, 0.47, 0.47, 0.58, 0.56, 0.54, and 0.56 between patient weight, anterior abdominal fat thickness, anteroposterior and transverse diameter, circumference, cross-sectional area and image quality at standard scanning parameters was found (p<0.01). Conclusion: There is a significant association between image quality, patients' weight and cross-sectional abdominal dimensions. Maximum transverse diameter of the abdomen has the strongest association with subjective image quality.

Original languageEnglish
Pages (from-to)234-238
Number of pages5
JournalKorean Journal of Radiology
Volume4
Issue number4
DOIs
Publication statusPublished - 2003
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Computed tomography (CT)

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