Publications by authors named "Jixin Meng"

Objectives: Differences in clinical adverse outcomes (CAO) based on different intestinal stricturing definitions in Crohn's disease (CD) are poorly documented. This study aims to compare CAO between radiological strictures (RS) and endoscopic strictures (ES) in ileal CD and explore the significance of upstream dilatation in RS.

Methods: This retrospective double-center study included 199 patients (derivation cohort, n = 157; validation cohort, n = 42) with bowel strictures who simultaneously underwent endoscopic and radiologic examinations.

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Article Synopsis
  • Intestinal stricture in Crohn's disease is a challenging complication, and this study explores the connection between gut microbiota and intestinal fibrosis, suggesting that specific bacteria may influence disease progression.* -
  • Researchers analyzed microbiota and tissue samples from 20 CD patients who had surgery, finding decreased microbial diversity in stenotic areas and specific bacterial genera associated with these regions.* -
  • A certain bacterial genus was linked to lower levels of intestinal fibrosis and may predict longer remission periods after surgery, indicating its potential as a biomarker for disease recurrence and a target for treatment.*
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  • More than half of patients with Crohn's disease need surgery, but many face a risk of surgical recurrence called postoperative anastomotic recurrence (PAR).
  • This study aimed to create and validate a radiomics signature based on preoperative computed tomography enterography (CTE) to predict early PAR in patients with Crohn's disease.
  • The findings showed that both intestinal and mesenteric radiomic signatures were significant independent risk factors for PAR, and a new radiomics-based nomogram was more effective in predicting outcomes compared to traditional clinical models.
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Background: While the grading of intestinal fibrosis is closely related to the therapeutic strategy of patients with Crohn's disease (CD), it has not yet been well resolved. Mesenteric abnormalities are inextricably linked to intestinal fibrosis.

Objectives: We aimed to establish an optimal model for assessing intestinal fibrosis using computed tomography enterography (CTE) and clinical markers.

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Objectives: Accurate evaluation of bowel fibrosis in patients with Crohn's disease (CD) remains challenging. Computed tomography enterography (CTE)-based radiomics enables the assessment of bowel fibrosis; however, it has some deficiencies. We aimed to develop and validate a CTE-based deep learning model (DLM) for characterizing bowel fibrosis more efficiently.

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Fibrostenosis is a serious complication of Crohn's disease (CD), affecting approximately one-half of all patients. Surgical resection is the typical clinical end due to ineffective antifibrotic therapy mainly through anti-inflammatory treatment and fibrosis can be reverted only at early stages. Mover, human fibrotic disorders is known to be associated with aging process.

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Background & Aims: No reliable method for evaluating intestinal fibrosis in Crohn's disease (CD) exists; therefore, we developed a computed-tomography enterography (CTE)-based radiomic model (RM) for characterizing intestinal fibrosis in CD.

Methods: This retrospective multicenter study included 167 CD patients with 212 bowel lesions (training, 98 lesions; test, 114 lesions) who underwent preoperative CTE and bowel resection at 1 of the 3 tertiary referral centers from January 2014 through June 2020. Bowel fibrosis was histologically classified as none-mild or moderate-severe.

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Objective: To establish a novel standardized magnetization transfer ratio (MTR) parameter which considers the element of the normal bowel wall and to compare the efficacy of the MTR, normalized MTR, and standardized MTR in evaluating intestinal fibrosis in Crohn's disease (CD).

Materials And Methods: Abdominal magnetization transfer imaging from 20 consecutive CD patients were analyzed before performing elective operations. MTR parameters were calculated by delineating regions of interest in specified segments on MTR maps.

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