Evaluation of conventional, dynamic contrast enhanced and diffusion weighted MRI for quantitative Crohn’s disease assessment with histopathology of surgical specimens
- 1.6k Downloads
To prospectively compare conventional MRI sequences, dynamic contrast enhanced (DCE) MRI and diffusion weighted imaging (DWI) with histopathology of surgical specimens in Crohn’s disease.
3-T MR enterography was performed in consecutive Crohn’s disease patients scheduled for surgery within 4 weeks. One to four sections of interest per patient were chosen for analysis. Evaluated parameters included mural thickness, T1 ratio, T2 ratio; on DCE-MRI maximum enhancement (ME), initial slope of increase (ISI), time-to-peak (TTP); and on DWI apparent diffusion coefficient (ADC). These were compared with location-matched histopathological grading of inflammation (AIS) and fibrosis (FS) using Spearman correlation, Kruskal–Wallis and Chi-squared tests.
Twenty patients (mean age 38 years, 12 female) were included and 50 sections (35 terminal ileum, 11 ascending colon, 2 transverse colon, 2 descending colon) were matched to AIS and FS. Mural thickness, T1 ratio, T2 ratio, ME and ISI correlated significantly with AIS, with moderate correlation (r = 0.634, 0.392, 0.485, 0.509, 0.525, respectively; all P < 0.05). Mural thickness, T1 ratio, T2 ratio, ME, ISI and ADC correlated significantly with FS (all P < 0.05).
Quantitative parameters from conventional, DCE-MRI and DWI sequences correlate with histopathological scores of surgical specimens. DCE-MRI and DWI parameters provide additional information.
• Conventional MR enterography can be used to assess Crohn’s disease activity.
• Several MRI parameters correlate with inflammation and fibrosis scores from histopathology.
• Dynamic contrast enhanced imaging and diffusion weighted imaging give additional information.
• Quantitative MRI parameters can be used as biomarkers to evaluate Crohn’s disease activity.
KeywordsMagnetic resonance imaging Magnetic resonance enterography Contrast Apparent diffusion coefficient Crohn’s disease
Apparent diffusion coefficient
Crohn’s disease activity index
Dynamic contrast enhanced
Diffusion weighted imaging
Initial slope of increase
Region of interest
A research grant was given by NutsOhra Foundation (Amsterdam, the Netherlands). The NutsOhra Foundation was not involved in designing and conducting this study, did not have access to the data, and was not involved in data analysis or preparation of this manuscript.
- 2.Baumgart DC, Sandborn WJ (2012) Crohn’s disease. Lancet 6736:1–16Google Scholar
- 20.Vos FM, Tielbeek JAW, Naziroglu RE et al (2012) Computational modeling for assessment of IBD: to be or not to be? Conference proceedings: Annual international conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society 2012:3974–3977Google Scholar
- 22.Lavini C, Maas M (2008) DCE-MRI analysis package comprising pixel-by-pixel classification of time intensity curves shapes, permeability maps and Gd concentration calculation. MAGMA 21:486Google Scholar