ArticleScientific reports2021
The establishment of a regression model from four modes of ultrasound to predict the activity of Crohn's disease.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Quantitative assessment of ultrasound microvessel imaging in Crohn's disease: correlation with pathological inflammation.European radiology · 2025Article
- Current Developments and Role of Intestinal Ultrasound including the Advent of AI.Diagnostics (Basel, Switzerland) · 2024Review
- Multimodal dynamic ultrasound approach as predictor of response in patients with Crohn's disease treated with ustekinumab.Therapeutic advances in gastroenterology · 2024Article
- Diagnostic accuracy of different cross-sectional imaging techniques for disease location and activity in Crohn's disease and external validation and comparison of MARIAs and IBUS-SAS.Abdominal radiology (New York) · 2023Article
- Review
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7 authors.
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Abstract
To establish a multi-parametric regression model from four modes of ultrasound to predict the activity of Crohn's disease (CD) noninvasively. Score of 150 of the Crohn's Disease Activity Index (CDAI) was taken as the cut-off value to divide the involved bowel segments of 51 patients into the active and inactive group. Eleven parameters from four modes of ultrasound (B-mode ultrasonography, color Doppler flow imaging, contrast-enhanced ultrasonography and shear wave elastography) were compared between the two groups to investigate the relationship between multimodal ultrasonic features and CD activity. P < 0.05 was considered statistically significant. Parameters with AUC larger than 0.5 was selected to establish the prediction model of CDAI. Totally seven ultrasound parameters (bowel wall thickness, mesenteric fat thickness, peristalsis, texture of enhancement, Limberg grade, bowel wall perforation and bowel wall stratification) were significantly different between active and inactive group. A regression model was established based on the seven parameters as followed: CDAI = 211.325 + 3.186BWT - 53.003BWS + 6.280BWP + 0.392MFT + 22.239PS + 79.012LG + 72.793TE. (R
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