background: the present study assesses independent predictors of clinically important traumatic brain injury (citbi) in order to design a prognostic rule for identification of high risk children with mild head injury. materials and methods: in a retrospective cross-sectional study, 3,199 children with mild traumatic brain injury (tbi) brought to emergency ward of three hospitals in tehran, iran...

background: core needle biopsy (cnb) with histological findings is regarded as one of the most important diagnostic measures that make preoperative assessment and planning for appropriate treatment possible. the aim of this study was to determine the sensitivity and specificity of core biopsy results in our patients with benign and malignant breast lumps, especially for borderline breast lesion...

Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant’s risk factors was used.  First,...

The specifity of gene encoding the ribotoxin protein in Aspergillus fumigatus was determined by PCR amplification of a portion of the gene. All A. fumigatus strains studied showed the presence of amplifiable ribotoxin product, while none of the other fungal species, with the exception of Aspergillus restrictus, showed this amplification product. Hence, this method may be used for rapid and spec...

conclusions using tzpsad as an adjunct to psa may improve the specificity of psa in the diagnosis of pca and decrease the number of unnecessary prostatic biopsies in iranian men with serum psa level < 20 ng/ml. results among 1120 men who were eligible for enrolment, prostate cancer was detected in 265 patients. mean serum psa levels were 9.7 ± 4.3 ng/ml and 8.5 ± 3.7 ng/ml in patients with and ...

Introduction: The adaptive neuro-fuzzy inference system (ANFIS) is a soft computing model based on neural network precision and fuzzy decision-making advantages, which can highly facilitate diagnostic modeling. In this study we used this model in breast cancer detection. Methodology: A set of 1,508 records on cancerous and non-cancerous participant&rsquo;s risk factors was used.&nbsp; First,...

BACKGROUND A retrospective analysis of 12 years' experience (1987-1999), concerning gastro-intestinal lymphomas (LNH-GI) has been performed, to offer a contribution for the identification of the diagnostic and prognostic criteria. METHODS During this period, 11 cases (9 male and 2 female) have been treated: 8 with gastric localization and 3 with intestinal localization, with age ranging betwe...

Abstract&#x0D; Subclinical mastitis is the most important and costly disease in dairy sector. In this study, it was aimed to compare results of bacteriological examination with those California Mastitis Test (CMT) Somatic Cell Count (SCC)in milk samples collected from Anatolian buffaloes no clinical signs mastitis. For purpose, 96 were 24 each quarter. All examined for presence mastitic pathoge...