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Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease
- Source :
- Clinical radiology, 74(10). W.B. Saunders Ltd
- Publication Year :
- 2019
-
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
- Subjects :
- Adult
Male
medicine.medical_specialty
Adolescent
Motility
Disease
Gastroenterology
Severity of Illness Index
030218 nuclear medicine & medical imaging
03 medical and health sciences
Young Adult
0302 clinical medicine
Small bowel motility
Crohn Disease
Internal medicine
Image Interpretation, Computer-Assisted
Intestine, Small
Radiologists
Medicine
Analysis software
Humans
Radiology, Nuclear Medicine and imaging
Grading (tumors)
Aged
Crohn's disease
business.industry
General Medicine
Middle Aged
medicine.disease
Magnetic resonance enterography
Magnetic Resonance Imaging
030220 oncology & carcinogenesis
Female
Abdominal symptoms
business
Gastrointestinal Motility
Software
Subjects
Details
- ISSN :
- 1365229X and 00099260
- Volume :
- 74
- Issue :
- 10
- Database :
- OpenAIRE
- Journal :
- Clinical radiology
- Accession number :
- edsair.doi.dedup.....7d2c9293827927e58116c11264e8d956