title: Improved detection of inflammatory bowel disease by additional automated motility analysis in magnetic resonance imaging.
abstract: OBJECTIVE
  The objective of this study was to evaluate whether the use of automatically generated maps of bowel motility (motility mapping) in magnetic resonance imaging (MRI) leads to an increased detection rate of inflammatory bowel disease.
  
  
  METHODS
  Fifty consecutive patients with suspected or known inflammatory bowel disease who underwent bowel MRI using a 1.5-T scanner were analyzed retrospectively. In addition to standard small bowel magnetic resonance protocol, a dynamic coronal T2-weighted sequence (dynamic MRI) was acquired. Dynamic sequences were used to automatically generate a parametric map depicting bowel motility. Two readings of the MRI were performed: first, evaluation of static MRI alone and second, evaluation of static MRI combined with dynamic MRI (motility mapping). Static MRI was analyzed on parameters defining inflammation (morphology, enhancement). Dynamic MRI (motility mapping) was evaluated on the basis of a color-coded scheme displaying hypomotility and hypermotility.
  
  
  RESULTS
  Using motility maps, additional inflammatory lesions were found in 13 (26%) of the 50 patients, resulting in a significantly higher detection rate using static MRI together with motility mapping compared with static MRI alone (P = 0.0002). Overall, 66 inflammatory lesions of the bowel were detected in a total of 38 patients (static MRI + motility mapping) versus 51 lesions in 34 patients (sole evaluation of static MRI).
  
  
  CONCLUSIONS
  Motility assessment of the bowel provides additional information and improves the detection of inflammatory lesions in MRI.
authors.affiliation: From the *Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, †Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, and ‡Department of Gastroenterology and Hepatology, University Hospital Essen, Germany.
authors.forename: Maria L
authors.initials: ML
authors.lastname: Hahnemann
authors.forename: Felix
authors.initials: F
authors.lastname: Nensa
authors.forename: Sonja
authors.initials: S
authors.lastname: Kinner
authors.forename: Stefan
authors.initials: S
authors.lastname: Maderwald
authors.forename: Lale
authors.initials: L
authors.lastname: Umutlu
authors.forename: Guido
authors.initials: G
authors.lastname: Gerken
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Lauenstein
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000465:Algorithms; D002648:Child; D005260:Female; D005769:Gastrointestinal Motility; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D015212:Inflammatory Bowel Diseases / Q000473:pathology* / Q000503:physiopathology*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D055815:Young Adult