Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease. Issue 10 (October 2019)

• Record Type: Journal Article
• 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.
• Is Part Of: Clinical radiology. Volume 74:Issue 10(2019)
• Page Start: 814.e9
• Page End: 814.e19
• Publication Date: 2019-10
• Subjects: Medical radiology -- Periodicals; Radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiology -- Periodicals; Societies, Medical -- Periodicals; Medical radiology; Radiotherapy; Electronic journals; Periodicals; 616.0757
• DOI: 10.1016/j.crad.2019.06.016
• Languages: English
• ISSNs: 0009-9260

Abstract

Abstract : AIM: 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. MATERIALS AND METHODS: 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. RESULTS: The best automated metric combination was temporal variation ( p< 0.05) plus area of motile bowel ( p< 0.05), achieving an R 2 adjusted value of 0.036. Spatial variation was also associated with symptoms ( p< 0.05, R 2 adjusted = 0.034); however, when visually assessed by radiologists, none of the features had a significant relationship with the HBI score. CONCLUSION: Software quantified temporal and spatial variability in bowel motility are associated with abdominal symptoms in Crohn's disease. Subjective radiologist assessment of bowel motility is insufficient to detect aberrant motility. Automated analysis of motility patterns holds promise as an objective biomarker for aberrant physiology underlying symptoms in enteric disorders. Highlights: Aberrant small bowel MRI motility has been associated with Crohn's disease symptoms. Radiologist grading of motility compared to new computer-based motility metrics. Best models were automated. Symptoms best associated with spatial variation for a single variable model. Temporal variation and area of motile bowel best multi-variate model.