Background: Indeterminate colitis (IC), a term
originated by pathologists to characterize confounding
histopathlogic appearance of resected mucosa, has
become catch phrase for cases in which diagnostic
criteria at all levels elude classification as Crohn's
disease (CD) or ulcerative colitis (UC).
OBJECTIVES: evaluate the prevalence of pANCA
expression in the sera and its isotypes.
Patients and methods: PATIENTS GROUP
consisted of 60 patients (40 males and 20 females)
with indeterminate colitis and their age range was (19-
84 years). CONTROL GROUP consisted of 30 (15
males and 15 females) healthy volunteers and their
age range was (20- 66 years).
Antineutrophil cytoplasmic ( pANCA and cANCA)
testing was performed by an IIF technique on ethanol
fixed human EOH granulocytes as substrate
(EUROIMMUNE- Germany). Sigmoidoscope and
colonoscope examination were done for the patients
group and biopsies were taken from the patients for
histopathological examination.
Results:
Serological results of ANCA showed a significant
increased frequency of pANCA (63.3%) in
indeterminate colitis patients as compared to controls
(p=0.000). The highest percentage of this pANCA
titer was 1:10 (p=0.000) then 1:100 (p=0.008) and
most of them was IgG (53.3%) (p=0.000). Sensitivity
of pANCA was 60%, specificity of pANCA was 40%,
positive predictive value of pANCA was 61.1% and
negative predictive value of pANCA was 66.6%.
cANCA did not demonstrated in both groups.
Conclusions : pANCA was more prevalent in
indeterminate colitis and could be used as a predictive
serological marker for the outcome of disease.
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Periodontitis is one of the most prevalent bacterial diseases affecting man with up to 90% of the global population affected. Its severe form can lead to the tooth loss in 10-15% of the population worldwide. The disease is caused by a dysbiosis of the local microbiota and one organism that contributes to this alteration in the bacterial population is Prophyromonas gingivalis. This organism possesses a range of virulence factors that appear to contribute to its growth and survival at a periodontal site amongst which is its ability to invade oral epithelial cells. Such an invasion strategy provides a means of evasion of host defence mechanisms, persistence at a site and the opportunity for dissemination to other sites in the mouth. However, p
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Researchers used different methods such as image processing and machine learning techniques in addition to medical instruments such as Placido disc, Keratoscopy, Pentacam;to help diagnosing variety of diseases that affect the eye. Our paper aims to detect one of these diseases that affect the cornea, which is Keratoconus. This is done by using image processing techniques and pattern classification methods. Pentacam is the device that is used to detect the cornea’s health; it provides four maps that can distinguish the changes on the surface of the cornea which can be used for Keratoconus detection. In this study, sixteen features were extracted from the four refractive maps along with five readings from the Pentacam software. The
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