Performance characteristics of the measurement of gastric volume using single photon emission computed tomography

M. Breen, M. Camilleri, D. Burton, A. R. Zinsmeister

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

Background A non-invasive single photon emission computed tomography (SPECT) method was developed and validated to measure gastric volumes (GV). The natural variation in gastric volume responses and performance characteristics of SPECT imaging are unclear. Methods The primary aim of this study was to assess the performance characteristics of SPECT imaging by estimating the inter-individual coefficients of variation (COV) in fasting and postprandial GV in 433 participants in prior research studies over the last decade, and the intra-individual COV in all volunteers who had undergone at least two studies. The secondary aim was to assess the relationship of gender, BMI and age on GV. Key Results The COVINTER for all subjects in the study (n=433) was 32.6% fasting, 16.0% fed, and 19.0%Δ fed - fasting. The COVINTRA for 47 subjects with repeat estimates of gastric volume was 37.0% fasting, 17.6% fed, and 22.0%Δ fed - fasting. COVINTRA was stable over time interval from 2 to 60months. There were no significant differences by gender or subgroups. Mean fed and gastric accommodation volumes were associated with age and BMI but the magnitude of variation attributable was <5%. Conclusions & Inferences COVINTRA and COVINTER of GV by SPECT are very similar, and there is a small effect of age and BMI. These data are important for planning future studies of GV and further validate SPECT for studies of gastric motility disorders and obesity.

Original languageEnglish (US)
Pages (from-to)308-315
Number of pages8
JournalNeurogastroenterology and Motility
Volume23
Issue number4
DOIs
StatePublished - Apr 2011

Keywords

  • Bland-Altman
  • Coefficient
  • Dyspepsia
  • Obesity
  • Variation

ASJC Scopus subject areas

  • Physiology
  • Endocrine and Autonomic Systems
  • Gastroenterology

Fingerprint

Dive into the research topics of 'Performance characteristics of the measurement of gastric volume using single photon emission computed tomography'. Together they form a unique fingerprint.

Cite this