Differential Diagnosis of Ischaemic Colitis, Ulcerative Colitis and Crohn’s Disease of the Colon

1984 ◽  
pp. 61-64
Author(s):  
Jacques W. A. J. Reeders ◽  
Guido N. J. Tytgat ◽  
Gerd Rosenbusch ◽  
Sibrand Gratama
Keyword(s):  
Ulcerative Colitis ◽  
Differential Diagnosis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Ischaemic Colitis ◽  
Colitis Ulcerative

scholarly journals USE OF MATHEMATICAL MODELS INFRARED SPECTROSCOPY SERUM IN THE DIFFERENTIAL DIAGNOSIS OF ULCERATIVE COLITIS AND CROHN'S DISEASE IN CHILDREN

2013 ◽  
Vol 68 (12) ◽  
pp. 44-48
Author(s):  
E. N. Fedulova ◽  
A. S. Gordetsov ◽  
O. V. Fedorova ◽  
L. V. Korkotashvili ◽  
O. A. Tutina
Keyword(s):  
Mathematical Modeling ◽  
Ulcerative Colitis ◽  
Differential Diagnosis ◽  
Crohn’S Disease ◽  
Infrared Spectroscopy ◽  
Crohn's Disease ◽  
Blood Serum ◽  
Malignant Tumors ◽  
Spectral Characteristics ◽  
Healthy Children

Relevance of research. Inflammatory bowel diseases are among the most severe pathologies in pediatric gastroenterology, often lead to disability. Despite the similarity of the clinic, pathogenetic mechanisms, the question of the differential diagnosis of ulcerative colitis and Crohn's disease is relevant in view of their different prognosis and treatment strategy. In recent years, in medical uses infrared spectroscopy of blood serum for the differential diagnosis of various inflammatory diseases, benign and malignant tumors. Besides finding increasing application of mathematical methods for data processing, the so-called mathematical modeling of pathological processes, allowing objectify the survey results for a more accurate diagnosis and prognosis of pathological processes. Objective: improving the differential diagnosis of ulcerative colitis and Crohn's disease in children. Patients: 21 children with ulcerative colitis, 56 children with Crohn's disease and 34 healthy children. The method of infrared spectroscopy of serum and mathematical modeling results through multivariate entropy analysis. Results: the obtained spectral characteristics of blood serum in children with ulcerative colitis and Crohn's disease and in healthy children, as well as "images of disease" in these pathologies. Conclusion: The use of this medical technology reduced the time of diagnosis, which contributes to the timely choice of rational treatment strategies and provides an opportunity to avoid the development of complications, worsening of the disease. 

scholarly journals Features of electric and viscoelastic parameters of erythrocytes in patients with inflammatory intestinal diseases

2021 ◽  
Vol 1 (5) ◽  
pp. 19-30
Author(s):  
M. V. Kruchinina ◽  
I. O. Svetlova ◽  
A. V. Azgaldyan ◽  
M. F. Osipenko ◽  
E. Yu. Valuiskikh ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Differential Diagnosis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Red Blood Cells ◽  
Blood Cells ◽  
Average Diameter ◽  
Acute Stage ◽  
Viscoelastic Parameters ◽  
Surface Character

The aim of this work is to study the features of the electrical and viscoelastic parameters of erythrocytes in patients with inflammatory bowel diseases (ulcerative colitis, Crohn’s disease, unclassified colitis), taking into account the stage of the disease for possible use in differential diagnosis.The electrical and viscoelastic parameters of erythrocytes were studied using dielectrophoresis in 109 patients with IBD, mean age 37,7 + 11,7 years (50 patients with ulcerative colitis (UC), 41 with Crohn’s disease (CD), 18 with unclassified colitis (UCC) and 53 conditionally healthy, comparable in age and sex with the main groups.Red blood cells of individuals with IBD differed from those in the comparison group by a smaller average diameter, an increased proportion of deformed, spherocytic cells with a changed surface character with a reduced ability to deform, a lower level of surface charge of cells, an altered membrane structure with an increased ability to conduct electric current, prone to destruction and the formation of aggregates (p <0,0001–0,05).Analysis in individual groups with IBD in the acute stage, taking into account the therapy, revealed significant differences between the forms of IBD: in patients with Crohn’s disease, in contrast to patients with UC, red blood cells had lower values of the amplitude of deformation, capacity, dipole moment, and velocity of movement of cells towards electrodes, the proportion of discocytes, polarizability at most of the frequencies of the electric field (p <0,00001–0,05). On the contrary, the summarized indicators of rigidity, viscosity, electrical conductivity, aggregation and destruction indices were higher in CD than in UC (p <0,0001–0,05). CD patients had a greater number of deformed cells with altered surface character (p <0,00001).The features of the electrical and viscoelastic parameters of erythrocytes in patients with differentnosological forms of IBD can be used for the differential diagnosis of ulcerative colitis and Crohn’s disease in case of colon lesions, in the long term — for verification of the diagnosis in unclassified colitis.

scholarly journals Differential Intestinal Mucosa Transcriptomic Biomarkers for Crohn’s Disease and Ulcerative Colitis

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Maria Dobre ◽  
Elena Milanesi ◽  
Teodora Ecaterina Mănuc ◽  
Dorel Eugen Arsene ◽  
Cristian George Ţieranu ◽  
...  
Keyword(s):  
Ulcerative Colitis ◽  
Differential Diagnosis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Intestinal Mucosa ◽  
Expression Profiles ◽  
Genetic Research ◽  
Gene Expression Profiles ◽  
Normal Mucosa ◽  
Transcript Levels

Genetic research has shaped the inflammatory bowel disease (IBD) landscape identifying nearly two hundred risk loci. Nonetheless, the identified variants rendered only a partial success in providing criteria for the differential diagnosis between ulcerative colitis (UC) and Crohn’s disease (CD). Transcript levels from affected intestinal mucosa may serve as tentative biomarkers for improving classification and diagnosis of IBD. The aim of our study was to identify gene expression profiles specific for UC and CD, in endoscopically affected and normal intestinal colonic mucosa from IBD patients. We evaluated a panel of 84 genes related to the IBD-inflammatory pathway on 21 UC and 22 CD paired inflamed and not inflamed mucosa and on age-matched normal mucosa from 21 non-IBD controls. Two genes in UC (CCL11 and MMP10) and two in CD (C4BPB and IL1RN) showed an upregulation trend in both noninflamed and inflamed mucosa compared to controls. Our results suggest that the transcript levels of CCL11, MMP10, C4BPB, and IL1RN are candidate biomarkers that could help in clinical practice for the differential diagnosis between UC and CD and could guide new research on future therapeutic targets.

scholarly journals Development of a Machine Learning Model to Distinguish between Ulcerative Colitis and Crohn’s Disease Using RNA Sequencing Data

Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2365
Author(s):  
Soo-Kyung Park ◽  
Sangsoo Kim ◽  
Gi-Young Lee ◽  
Sung-Yoon Kim ◽  
Wan Kim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Ulcerative Colitis ◽  
Differential Diagnosis ◽  
Crohn’S Disease ◽  
Crohn's Disease ◽  
Rna Sequencing ◽  
Error Rate ◽  
Learning Model ◽  
Rna Seq ◽  
Machine Learning Model

Crohn’s disease (CD) and ulcerative colitis (UC) can be difficult to differentiate. As differential diagnosis is important in establishing a long-term treatment plan for patients, we aimed to develop a machine learning model for the differential diagnosis of the two diseases using RNA sequencing (RNA-seq) data from endoscopic biopsy tissue from patients with inflammatory bowel disease (n = 127; CD, 94; UC, 33). Biopsy samples were taken from inflammatory lesions or normal tissues. The RNA-seq dataset was processed via mapping to the human reference genome (GRCh38) and quantifying the corresponding gene models that comprised 19,596 protein-coding genes. An unsupervised learning model showed distinct clusters of four classes: CD inflammatory, CD normal, UC inflammatory, and UC normal. A supervised learning model based on partial least squares discriminant analysis was able to distinguish inflammatory CD from inflammatory UC after pruning the strong classifiers of normal CD vs. normal UC. The error rate was minimal and affected only two components: 20 and 50 genes for the first and second components, respectively. The corresponding overall error rate was 0.147. RNA-seq analysis of tissue and the two components revealed in this study may be helpful for distinguishing CD from UC.

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