AIM: To evaluate the accuracy of diffusion-weighted imaging (DWI) without bowel preparation, the optimal b value and the changes in apparent diffusion coefficient (ADC) in detecting ulcerative colitis (UC).

METHODS: A total of 20 patients who underwent 3T magnetic resonance imaging (MRI) without bowel preparation and colonoscopy within 24 h were recruited. Biochemical indexes, including C-reactive protein (CRP), erythrocyte sedimentation rate, hemoglobin, leucocytes, platelets, serum iron and albumin, were determined. Biochemical examinations were then performed within 24 h before or after MR colonography was conducted. DWI was performed at various b values (b = 0, 400, 600, 800, and 1000 s/mm²). Two radiologists independently and blindly reviewed conventional- and contrast-enhanced MR images, DWI and ADC maps; these radiologists also determined ADC in each intestinal segment (rectum, sigmoid, left colon, transverse colon, and right colon). Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic performance of DWI hyperintensity from various b factors, ADC values and different radiological signs to detect endoscopic inflammation in the corresponding bowel segment. Optimal ADC threshold was estimated by maximizing the combination of sensitivity and specificity. MR findings were correlated with endoscopic results and clinical markers; these findings were then estimated by ROC analysis.

RESULTS: A total of 100 segments (71 with endoscopic colonic inflammation; 29 normal) were included. The proposed total magnetic resonance score (MR-score-T) was correlated with the total modified Baron score (Baron-T; r = 0.875, P < 0.0001); the segmental MR score (MR-score-S) was correlated with the segmental modified Baron score (Baron-S; r = 0.761, P < 0.0001). MR-score-T was correlated with clinical and biological markers of disease activity (r = 0.445 to 0.831, P < 0.05). MR-score-S > 1 corresponded to endoscopic colonic inflammation with a sensitivity of 85.9%, a specificity of 82.8% and an area under the curve (AUC) of 0.929 (P < 0.0001). The accuracy of DWI hyperintensity was significantly greater at b = 800 than at b = 400, 600, or 1000 s/mm² (P < 0.05) when endoscopic colonic inflammation was detected. DWI hyperintensity at b = 800 s/mm² indicated endoscopic colonic inflammation with a sensitivity of 93.0%, a specificity of 79.3% and an AUC of 0.867 (P < 0.0001). Quantitative analysis results revealed that ADC values at b = 800 s/mm² differed significantly between endoscopic inflamed segment and normal intestinal segment (1.56 ± 0.58 mm²/s vs 2.63 ± 0.46 mm²/s, P < 0.001). The AUC of ADC values was 0.932 (95% confidence interval: 0.881-0.983) when endoscopic inflammation was detected. The threshold ADC value of 2.18 × 10^-3 mm²/s indicated that endoscopic inflammation differed from normal intestinal segment with a sensitivity of 89.7% and a specificity of 80.3%.

CONCLUSION: DWI combined with conventional MRI without bowel preparation provides a quantitative strategy to differentiate actively inflamed intestinal segments from the normal mucosa to detect UC.

• Diffusion-weighted imaging
• Apparent diffusion coefficient
• Quantitative
• Ulcerative colitis
• Without bowel preparation

• Area Under Curve
• Biomarkers/blood
• Colitis, Ulcerative/blood
• Colitis, Ulcerative/pathology
• Colon/pathology
• Colonoscopy
• Contrast Media
• Diffusion Magnetic Resonance Imaging
• Gadolinium DTPA
• Humans
• Intestinal Mucosa/pathology
• Observer Variation
• Predictive Value of Tests
• Prospective Studies
• ROC Curve
• Reproducibility of Results

• Crohn’s disease
• inflammatory bowel disease
• magnetic resonance enteroclysis (MRE)
• magnetic resonance follow-through (MRFT)
• magnetic resonance imaging (MRI)
• ulcerative colitis

• Crohn’s disease
• Inflammatory bowel disease
• computerised tomography (CT)
• magnetic resonance imaging (MRI)
• ulcerative colitis

• MRI; whole body MRI
• apparent diffusion coefficient ADC
• b-value
• diffusion-weighted imaging DWI
• oncology imaging

• Algorithms
• Diffusion Magnetic Resonance Imaging/methods
• Humans
• Image Enhancement/methods
• Image Interpretation, Computer-Assisted/methods
• Neoplasms/pathology
• Pattern Recognition, Automated/methods
• Reproducibility of Results
• Sensitivity and Specificity
• Whole Body Imaging/methods