Fractal Parameters as Independent Biomarkers in the Early Diagnosis of Pediatric Onset Inflammatory Bowel Disease

Author:

Makević Vedrana1,Milovanovich Ivan D.2,Popovac Nevena2,Janković Radmila3ORCID,Trajković Jelena45,Vuković Andrija1,Milosević Bojana5,Jevtić Jovan3ORCID,de Luka Silvio R.1ORCID,Ilić Andjelija Ž.4ORCID

Affiliation:

1. Faculty of Medicine, Department of Pathological Physiology, University of Belgrade, Dr Subotica 1, 11000 Belgrade, Serbia

2. University Children’s Hospital, University of Belgrade, Tiršova 10, 11000 Belgrade, Serbia

3. Faculty of Medicine, Institute of Pathology, University of Belgrade, Dr Subotica 1, 11000 Belgrade, Serbia

4. Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia

5. Faculty of Physics, University of Belgrade, 11000 Belgrade, Serbia

Abstract

Inflammatory bowel disease (IBD), which encompasses two different phenotypes—Crohn’s disease (CD) and ulcerative colitis (UC)—consists of chronic, relapsing disorders of the gastrointestinal tract. In 20–30% of cases, the disease begins in the pediatric age. There have been just a few studies that used fractals for IBD investigation, but none of them analyzed intestinal cell chromatin. The main aim of this study was to assess whether it is possible to differentiate between the two phenotypes in pediatric patients, or either of the phenotypes versus control, using the fractal dimension and lacunarity of intestinal cell chromatin. We analyzed nuclei from at least seven different intestinal segments from each group. In the majority of colon segments, both the fractal dimension (FD) and the lacunarity significantly differed between the UC group and CD group, and the UC group and control group. In addition, the ileocecal valve and rectum were the only segments in which CD could be differentiated from the controls based on the FD. The potential of the fractal analysis of intestinal cell nuclei to serve as an observer-independent histological tool for ulcerative colitis diagnosis was identified for the first time in this study. Our results pave the way for the development of computer-aided diagnosis systems that will assist the physicians in their clinical practice.

Funder

the Faculty of Medicine, University of Belgrade

the Institute of Physics Belgrade, University of Belgrade

the Ministry of Science, Technological Development, and Innovations of the Republic of Serbia

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

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