AIMC Topic: Crohn Disease
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Identifying risk factors of anti-TNF induced skin lesions and other adverse events in paediatric patients with inflammatory bowel disease.
Journal of pediatric gastroenterology and nutrition
Dec 10, 2023
OBJECTIVES: While higher infliximab (IFX) trough concentrations (TCs) are associated with better outcomes in patients with inflammatory bowel disease (IBD), they could pose a risk for adverse events (AEs), including IFX-induced skin lesions. Therefor...
Deep learning-based lesion detection and severity grading of small-bowel Crohn's disease ulcers on double-balloon endoscopy images.
Gastrointestinal endoscopy
Dec 6, 2023
BACKGROUND AND AIMS: Double-balloon endoscopy (DBE) is widely used in diagnosing small-bowel Crohn's disease (CD). However, CD misdiagnosis frequently occurs if inexperienced endoscopists cannot accurately detect the lesions. The CD evaluation may al...
Identification of antigen-presentation related B cells as a key player in Crohn's disease using single-cell dissecting, hdWGCNA, and deep learning.
Clinical and experimental medicine
Aug 8, 2023
Crohn's disease (CD) arises from intricate intercellular interactions within the intestinal lamina propria. Our objective was to use single-cell RNA sequencing to investigate CD pathogenesis and explore its clinical significance. We identified a dist...
Robot-assisted laparoscopic abdominoperineal resection for anal canal cancer associated with Crohn's disease: A case report.
Asian journal of endoscopic surgery
Jun 20, 2023
A 37-year-old man with Crohn's disease (CD) and a history of abdominal surgery was diagnosed with anal canal cancer. Robot-assisted laparoscopic abdominoperineal resection was performed and the patient was discharged without any postoperative complic...
LAVA HyperSense and deep-learning reconstruction for near-isotropic (3D) enhanced magnetic resonance enterography in patients with Crohn's disease: utility in noise reduction and image quality improvement.
Diagnostic and interventional radiology (Ankara, Turkey)
Apr 25, 2023
PURPOSE: This study aimed to compare near-isotropic contrast-enhanced T1-weighted (CE-T1W) magnetic resonance enterography (MRE) images reconstructed with vendor-supplied deep-learning reconstruction (DLR) with those reconstructed conventionally in t...
Deep learning-based image analysis reveals significant differences in the number and distribution of mucosal CD3 and γδ T cells between Crohn's disease and ulcerative colitis.
The journal of pathology. Clinical research
Nov 23, 2022
Colon mucosae of ulcerative colitis (UC) and Crohn's disease (CD) display differences in the number and distribution of immune cells that are difficult to assess by eye. Deep learning-based analysis on whole slide images (WSIs) allows extraction of c...
Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists.
European radiology
May 26, 2022
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 ...
Deep Learning Analysis of Histologic Images from Intestinal Specimen Reveals Adipocyte Shrinkage and Mast Cell Infiltration to Predict Postoperative Crohn Disease.
The American journal of pathology
Mar 28, 2022
Most patients with Crohn disease (CD), a chronic inflammatory gastrointestinal disease, experience recurrence despite treatment, including surgical resection. However, methods for predicting recurrence remain unclear. This study aimed to predict post...
Combining explainable machine learning, demographic and multi-omic data to inform precision medicine strategies for inflammatory bowel disease.
PloS one
Feb 23, 2022
Inflammatory bowel diseases (IBDs), including ulcerative colitis and Crohn's disease, affect several million individuals worldwide. These diseases are heterogeneous at the clinical, immunological and genetic levels and result from complex host and en...
Naphthalenes
Female
Prednisolone
Aged
Mesalamine
Young Adult
Transcriptome
Adolescent
Drug Evaluation, Preclinical
Machine Learning
Humans
Genomics
Colitis, Ulcerative
Pyrazoles
Tumor Necrosis Factor-alpha
Signal Transduction
Adult
Anti-Inflammatory Agents, Non-Steroidal
Phenylurea Compounds
Precision Medicine
Male
Crohn Disease
Middle Aged
Differentiation of intestinal tuberculosis and Crohn's disease through an explainable machine learning method.
Scientific reports
Feb 2, 2022
Differentiation between Crohn's disease and intestinal tuberculosis is difficult but crucial for medical decisions. This study aims to develop an effective framework to distinguish these two diseases through an explainable machine learning (ML) model...
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