Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease

• Published in: Clinical radiology 2019-10, Vol.74 (10), p.814.e9-814.e19
• Main Authors: Gollifer, R.M., Menys, A., Plumb, A., Mengoudi, K., Puylaert, C.A.J., Tielbeek, J.A.W., Ponsioen, C.Y., Vos, F.M., Stoker, J., Taylor, S.A., Atkinson, D.
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Aged; Crohn Disease - diagnostic imaging; Crohn Disease - physiopathology; Female; Gastrointestinal Motility - physiology; Humans; Image Interpretation, Computer-Assisted; Intestine, Small - diagnostic imaging; Intestine, Small - physiopathology; Magnetic Resonance Imaging; Male; Middle Aged; Radiologists; Severity of Illness Index; Software; Young Adult
• ISSN: 0009-9260; 1365-229X
• DOI: 10.1016/j.crad.2019.06.016

To investigate whether subjective radiologist grading of motility on magnetic resonance enterography (MRE) is as effective as software quantification, and to determine the combination of motility metrics with the strongest association with symptom severity. One hundred and five Crohn's disease patients (52 male, 53 female, 16–68 years old, mean age 34 years old) recruited from two sites underwent MRE, including a 20 second breath-hold cine motility sequence. Each subject completed a Harvey–Bradshaw Index (HBI) symptom questionnaire. Five features within normally appearing bowel were scored visually by two experienced radiologists, and then quantified using automated analysis software, including (1) mean motility, (2) spatial motility variation, (3) temporal motility variation, (4) area of motile bowel, (5) intestinal distension. Multivariable linear regression derived the combination of features with the highest association with HBI score. The best automated metric combination was temporal variation (p