Standard

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

In: Clinical Radiology, Vol. 74, No. 10, 01.10.2019, p. 814.e9-814.e19.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Gollifer, RM, Menys, A, Plumb, A, Mengoudi, K, Puylaert, CAJ, Tielbeek, JAW, Ponsioen, CY, Vos, FM, Stoker, J, Taylor, SA & Atkinson, D 2019, 'Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease' Clinical Radiology, vol. 74, no. 10, pp. 814.e9-814.e19. https://doi.org/10.1016/j.crad.2019.06.016

APA

Gollifer, R. M., Menys, A., Plumb, A., Mengoudi, K., Puylaert, C. A. J., Tielbeek, J. A. W., ... Atkinson, D. (2019). Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease. Clinical Radiology, 74(10), 814.e9-814.e19. https://doi.org/10.1016/j.crad.2019.06.016

Vancouver

Gollifer RM, Menys A, Plumb A, Mengoudi K, Puylaert CAJ, Tielbeek JAW et al. Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease. Clinical Radiology. 2019 Oct 1;74(10):814.e9-814.e19. https://doi.org/10.1016/j.crad.2019.06.016

Author

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. / Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease. In: Clinical Radiology. 2019 ; Vol. 74, No. 10. pp. 814.e9-814.e19.

BibTeX

@article{f641afb74ead4c0ea7be963a1378942e,
title = "Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease",
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 R2 adjusted value of 0.036. Spatial variation was also associated with symptoms (p<0.05, R2 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.",
author = "Gollifer, {R. M.} and A. Menys and A. Plumb and K. Mengoudi and Puylaert, {C. A.J.} and Tielbeek, {J. A.W.} and Ponsioen, {C. Y.} and Vos, {F. M.} and J. Stoker and Taylor, {S. A.} and D. Atkinson",
year = "2019",
month = "10",
day = "1",
doi = "10.1016/j.crad.2019.06.016",
language = "English",
volume = "74",
pages = "814.e9--814.e19",
journal = "Clinical Radiology",
issn = "0009-9260",
publisher = "W.B. Saunders Ltd",
number = "10",

}

RIS

TY - JOUR

T1 - Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease

AU - Gollifer, R. M.

AU - Menys, A.

AU - Plumb, A.

AU - Mengoudi, K.

AU - Puylaert, C. A.J.

AU - Tielbeek, J. A.W.

AU - Ponsioen, C. Y.

AU - Vos, F. M.

AU - Stoker, J.

AU - Taylor, S. A.

AU - Atkinson, D.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - 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 R2 adjusted value of 0.036. Spatial variation was also associated with symptoms (p<0.05, R2 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.

AB - 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 R2 adjusted value of 0.036. Spatial variation was also associated with symptoms (p<0.05, R2 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.

UR - http://www.scopus.com/inward/record.url?scp=85069939301&partnerID=8YFLogxK

U2 - 10.1016/j.crad.2019.06.016

DO - 10.1016/j.crad.2019.06.016

M3 - Article

VL - 74

SP - 814.e9-814.e19

JO - Clinical Radiology

T2 - Clinical Radiology

JF - Clinical Radiology

SN - 0009-9260

IS - 10

ER -

ID: 55929803