Interobserver and intraobserver reproducibility with volume dynamic contrast enhanced computed tomography (DCE-CT) in gastroesophageal junction cancer

4Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

The purpose of this study was to assess inter- and intra-observer reproducibility of three different analytic methods to evaluate quantitative dynamic contrast-enhanced computed tomography (DCE-CT) measures from gastroesophageal junctional cancer. Twenty-five DCE-CT studies with gastroesophageal junction cancer were selected from a previous longitudinal study. Three radiologists independently reviewed all scans, and one repeated the analysis eight months later for intraobserver analysis. Review of the scans consisted of three analysis methods: (I) Four, fixed small sized regions of interest (2-dimensional (2D) fixed ROIs) placed in the tumor periphery, (II) 2-dimensional regions of interest (2D-ROI) along the tumor border in the tumor center, and (III) 3-dimensional volumes of interest (3D-VOI) containing the entire tumor volume. Arterial flow, blood volume and permeability (ktrans) were recorded for each observation. Inter- and intra-observer variability were assessed by Intraclass Correlation Coefficient (ICC) and Bland-Altman statistics. Interobserver ICC was excellent for arterial flow (0.88), for blood volume (0.89) and for permeability (0.91) with 3D-VOI analysis. The 95% limits of agreement were narrower for 3D analysis compared to 2D analysis. Three-dimensional volume DCE-CT analysis of gastroesophageal junction cancer provides higher inter- and intra-observer reproducibility with narrower limits of agreement between readers compared to 2D analysis.

Cite

CITATION STYLE

APA

Hansen, M. L., Fallentin, E., Axelsen, T., Lauridsen, C., Norling, R., Svendsen, L. B., & Nielsen, M. B. (2016). Interobserver and intraobserver reproducibility with volume dynamic contrast enhanced computed tomography (DCE-CT) in gastroesophageal junction cancer. Diagnostics, 6(1). https://doi.org/10.3390/diagnostics6010008

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free