Scleroderma treatment in Iranian traditional medicine: A case report

Background and aims: Scleroderma is a systemic autoimmune disease that its core symptom is hardening (Sclero) of the skin (Derma). It also affects other internal organs in more severe cases. This illness has high morbidity and mortality and it can disrupt the normal function of the patient. Immunosuppressors and many other drugs have been used to treat but different adverse side effects of these treatments make them unsafe; Therefore, since there is no definite cure for scleroderma. In modern medicine, traditional medicine treatment strategies to patient's relief can improve quality of life, decrease morbidity and mortality of the disease and decrease the various side effects of drugs in modern medicine treatment. Case presentation: In this article, it was reported a 38 years old woman, known case of scleroderma who improved dramatically with traditional medicine methods after a short term course of treatment. Conclusion: Scleroderma is a complex disease which has no definite cure in modern medicine. Traditional treatments can improve many annoying symptoms of the disease

Helminth parasites of Caspian kilka (genus Clupeonella) as bioindicators of heavy metals

In the present study, intestinal helminth parasite fauna of 398 specimens of three species of kilkas, C. engrauliformis (N= 92), C. grimmi (N= 136) and C. cultriventris (N= 170) from Babolsar harbor were investigated. Five parasite species were found including: Corynosoma strumosum (Acanthocephala), Pronoprymna ventricosa (Trematoda), Contracaecum sp. (Nematoda), Raphidascaris sp. (Nematoda) and Anisakis sp. (Nematoda). The highest prevalence and abundance were observed in C. strumosum and P. ventricosa. The prevalence and abundance of C. strumosum in C. grimmi was significantly higher than C. engrauliformis. The prevalence and abundance of P. ventricosa in C. cultriventris was significantly higher than C. engrauliformis. The prevalence, mean intensity and mean abundance of the parasites were compared according to the sex, length group and season also effect of parasite on host growth parameters was considered. The diversity, equability, similarity, species richness, dominance Indices and specificity indices of helminth parasites of the three host species were studied. Also the lead and cadmium concentrations in the intestine, muscle, liver, kidney and gonad of kilkas and their parasites C. strumosum and P. ventricosa were measured and compared. The results revealed that lead and cadmium concentrations in C. strumosum and P. ventricosa were significantly higher than kidney, liver, intestine, gonad and muscle. The lead and cadmium concentrations of the parasites were compared according to the sex, parasitism and season

A New Method to Classify Breast Cancer Tumors and Their Fractionation

http://dx.doi.org/10.5902/2179460X19428In this paper, suspicious breast tumors were classified by using the neural network and the growth area method has been used for a fractionation of the benign or malignant areas of the normal tissue. Features extracted from input tissues are including statistical features and characteristics of spatial dependence. The advantage of this method is using of phase adaptive threshold based on entropy which leads to more accurate extraction of tumors and also corresponded with the nature of mammogram images. As a result, this method mimics of the human eye operation to detect abnormal masses. Database used in this paper is the MIAS mammogram database including 238 normal, benign and malignant mammograms. The accuracy obtained with 38 features is equal to 86.66% for detecting abnormal masses and 38.05 % for normal masses.In this paper, suspicious breast tumors were classified by using the neural network and the growth area method has been used for a fractionation of the benign or malignant areas of the normal tissue. Features extracted from input tissues are including statistical features and characteristics of spatial dependence. The advantage of this method is using of phase adaptive threshold based on entropy which leads to more accurate extraction of tumors and also corresponded with the nature of mammogram images. As a result, this method mimics of the human eye operation to detect abnormal masses. Database used in this paper is the MIAS mammogram database including 238 normal, benign and malignant mammograms. The accuracy obtained with 38 features is equal to 86.66% for detecting abnormal masses and 38.05 % for normal masses