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Background: Diffusion-weighted imaging (DWI) is one of methods in evaluation of breast lesions. We aimed to investigate the apparent diffusion coefficient (ADC) values in breast tumors and their accuracy in differentiating benign versus malignant lesions. Methods: In this cross-sectional study, 72 patients with 88 breast lesions were investigated by 1.5-T breast MRI from 2015 to 2017 in Athari Imaging Center in Tehran, Iran. Nearly all patients has undergone histopathology evaluation. One small region of interest (ROI) were placed on the most restricted region inside the solid part on the ADC map. Care was taken to avoid cystic or necrotic, fatty regions and hematoma inside the mass. A large round ROIs were placed in healthy fibroglandular tissue of contralateral breast ADC values were measured and compared in normal breast tissue and in most restricted parts of breast lesions (mass and non-mass). After determining cut-off for differentiation of benign and malignant lesions, sensitivity, specificity, accuracy, positive predictive value and negative predictive value were calculated. Results: Mean age of patients was 43.3 years. The average tumor size of benign and malignant lesions were calculated 26.0 mm, 35.3 mm respectively and 23 mm and 46 mm in mass and non-mass respectively. Invasive ductal carcinoma include the majority of pathology result (in 37.5% of the patients). Our results revealed that the measured ADC values in normal breast tissue were higher than breast lesions (P≤0.01). Mean ADC value in benign lesions was 1.40×10-3 mm2/s and for malignant lesion was 1.08×10-3 mm2/s. ADC value in the normal breast tissue was 1.79×10-3 mm2/s and was significantly higher than ADC value of breast lesions (benign and malignant). Cut-off value in non-mass was not valid, but in mass was 1.19×10-3 mm2/s with sensitivity, specificity, positive predictive value, negative predictive and accuracy of 89.7%, 83.8%, 87.5%, 86.6%, and 87.1% respectively. Conclusion: In DWI imaging, ADC value can differentiate benign and malignant masses with high sensitivity and specificity but not helpful in non-mass lesions. [ABSTRACT FROM AUTHOR]

Introduction: Access to health care is one of the main goals in all societies. This study aimed to investigate the access level in provinces in Iran. Methods: This descriptive-applied and cross-sectional study was conducted in 2012. Statistical population consisted of all provinces in Iran. Data were collected through library and online research. The Ministry of Health and Medical Education and Statistics Center of Iran as authorities of Information, were referred to for collecting relevant data. Taxonomy techniques were used to assess the of development level of provinces, Shannon entropy techniques were used to determine the weights of indicators and TOPSIS techniques were employed to rank states in terms of access to health care. Results: Based on Taxonomy technique from among 31 provinces, 12 provinces were considered to be developed, 9 semi-developed and 10 underdeveloped. Based on Shannon entropy, the ratio of the number of pharmacists to province population was the most important indicator. According to TOPSIS, in term of access to health services; Markazi and Ardabil provinces ranked the first and the last respectively. Conclusion: Due to the large differences among provinces, planners and officials are recommended to allocate the funds according to the development level. [ABSTRACT FROM AUTHOR]