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

Gollifer, R; Menys, Alex; Plumb, Andrew; Mengoudi, Kyriaki; Puylaert, Carl A. J.; Tielbeek, Jeroen A. W.; Ponsioen, Cyriel Y.; Vos, Franciscus M.; Stoker, Jaap; Taylor, Stuart A.; Atkinson, David

doi:10.1016/j.crad.2019.06.016

Cited by 12 publications

(15 citation statements)

References 20 publications

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“…The similar velocities to the in vivo observations are because the floating particle at low viscosity media, something that reflects the low viscosity of the enema normally used in in vivo studies, is located at the central axis (Figure 8), which is the area at which a particle will face the maximum fluid velocities. In addition, these fast retrograde flow velocities were also observed in vivo during the MRI measurements of the stomach and small bowel motility have been the subject of various studies since the late 1990s [37], developing to now include automated analysis of the data generated [38]. Some of these methods have shown the potential for clinical translation, e.g., motility alternations and patient-reported symptoms [39].…”

Section: Assessing Particle Motion In Dcm Using Peptmentioning

confidence: 98%

“…MRI measurements of the stomach and small bowel motility have been the subject of various studies since the late 1990s [37], developing to now include automated analysis of the data generated [38]. Some of these methods have shown the potential for clinical translation, e.g., motility alternations and patient-reported symptoms [39].…”

Section: Assessing Particle Motion In Dcm Using Peptmentioning

confidence: 99%

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Dynamic Colon Model (DCM): A Cine-MRI Informed Biorelevant In Vitro Model of the Human Proximal Large Intestine Characterized by Positron Imaging Techniques

et al. 2020

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This work used in vivo MRI images of human colon wall motion to inform a biorelevant Dynamic Colon Model (DCM) to understand the interplay of wall motion, volume, viscosity, fluid, and particle motion within the colon lumen. Hydrodynamics and particle motion within the DCM were characterized using Positron Emission Tomography (PET) and Positron Emission Particle Tracking (PEPT), respectively. In vitro PET images showed that fluid of higher viscosity follows the wall motion with poor mixing, whereas good mixing was observed for a low viscosity fluid. PEPT data showed particle displacements comparable to the in vivo data. Increasing fluid viscosity favors the net forward propulsion of the tracked particles. The use of a floating particle demonstrated shorter residence times and greater velocities on the liquid surface, suggesting a surface wave that was moving faster than the bulk liquid. The DCM can provide an understanding of flow motion and behavior of particles with different buoyancy, which in turn may improve the design of drug formulations, whereby fragments of the dosage form and/or drug particles are suspended in the proximal colon.

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Section: Assessing Particle Motion In Dcm Using Peptmentioning

confidence: 98%

Section: Assessing Particle Motion In Dcm Using Peptmentioning

confidence: 99%

Dynamic Colon Model (DCM): A Cine-MRI Informed Biorelevant In Vitro Model of the Human Proximal Large Intestine Characterized by Positron Imaging Techniques

et al. 2020

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“…Secondly, the input of the proposed CD detection system consisted of a varying number of cine MRE series. The use of only a single MRE series for motility assessment has been dominant in the related literature 7,15,17,19,20 and some studies have reported it as a limitation. 19,20 The main result of this paper was that the system could detect CD from cine MRE series with relatively high confidence in dataset 1 but not in datasets 2 or 3.…”

Section: Discussionmentioning

confidence: 99%

“…The use of only a single MRE series for motility assessment has been dominant in the related literature 7,15,17,19,20 and some studies have reported it as a limitation. 19,20 The main result of this paper was that the system could detect CD from cine MRE series with relatively high confidence in dataset 1 but not in datasets 2 or 3. The best mean AUC score achieved with datasets 2 and 3 was only 0.54.…”

Section: Discussionmentioning

confidence: 99%

Automatic detection of Crohn's disease using quantified motility in magnetic resonance enterography: initial experiences

et al. 2022

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“…Also, in this study we visually assessed motility, luminal diameter and content to evaluate the influence of these factors on the conventional motility score. An experienced abdominal radiologist reviewed these aspects, however visual assessment of motility remains difficult and has shown poor interobserver agreement in Crohn’s patients 23 making it an imperfect reference standard.…”

Section: Discussionmentioning

confidence: 99%

Impact of bowel dilation on small bowel motility measurements with cine-MRI: assessment of two quantification techniques

Rijn

Stoker

Menys³

et al. 2022

BJR|Open

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Objectives: To evaluate the effect of bowel dilation on cine-MRI small bowel motility measurements, by comparing a conventional motility score (including bowel wall and lumen) with a bowel wall-specific motility score in healthy and diseased populations. Methods: Four populations were included: 10 Crohn’s patients with a stricture and prestricture dilation for segmental motility analysis, and 14 mannitol-prepared healthy subjects, 15 fasted healthy subjects and eight chronic intestinal pseudo obstruction (CIPO) patients (characterized by dilated bowel loops) for global small bowel motility analysis. All subjects underwent a cine-MRI scan from which two motility scores were calculated: a conventional score (including bowel wall and lumen) and a bowel wall-specific score. The difference between the two scores was calculated per population and compared between groups with a one-way ANOVA and Tukey-Kramer analysis. Results: In Crohn’s patients the median (IQR) change between the conventional and wall-specific motility score was 0% (-2 to +4%) within the stricture and 0% (−1 to +7%) in the prestricture dilation. For the global small bowel, this was −1% (−5 to 0%) in mannitol-prepared healthy subjects, −2% (−6 to +2%) in fasted healthy subjects and +14% (+6 to+20%) in CIPO patients. The difference between the two motility scores in CIPO patients differed significantly from the four other groups (p = 0.002 to p < 0.001). Conclusions: The conventional small bowel motility score seems robust in Crohn’s disease patients and healthy subjects. In patients with globally and grossly dilated bowel loops, a bowel-wall specific motility score may give a better representation of small bowel motility. Advances in knowledge: These findings support researchers and clinicians with making informed choices for using cine-MRI motility analysis in different populations.

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

Cited by 12 publications

References 20 publications

Dynamic Colon Model (DCM): A Cine-MRI Informed Biorelevant In Vitro Model of the Human Proximal Large Intestine Characterized by Positron Imaging Techniques

Dynamic Colon Model (DCM): A Cine-MRI Informed Biorelevant In Vitro Model of the Human Proximal Large Intestine Characterized by Positron Imaging Techniques

Automatic detection of Crohn's disease using quantified motility in magnetic resonance enterography: initial experiences

Impact of bowel dilation on small bowel motility measurements with cine-MRI: assessment of two quantification techniques

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