PURPOSE: The aim of the present study was to evaluate the measurement accuracy of endodontic file length on periapical digital radiography after application of noise reduction digital enhancement. MATERIALS AND METHODS: Thirty-five human single-rooted permanent teeth with canals measuring 20-24 mm in length were selected. ISO #08 endodontic files were placed in the root canals of the teeth. The file lengths were measured with a digital caliper as the standard value. Standard periapical digital images were obtained using the Digora digital radiographic system and a dental X-ray unit. In order to produce the enhanced images, the noise reduction option was applied. Two blinded radiologists measured the file lengths on the original and enhanced images. The measurements were compared by repeated measures ANOVA and the Bonferroni test (alpha=0.05). RESULTS: Both the original and enhanced digital images provided significantly longer measurements compared with the standard value (P<0.05). There were no significant differences between the measurement accuracy of the original and enhanced images (P>0.05). CONCLUSION: Noise reduction digital enhancement did not influence the measurement accuracy of the length of the thin endodontic files on the digital periapical radiographs despite the fact that noise reduction could result in the elimination of fine details of the images.
Dental Pulp Cavity ; Endodontics ; Humans ; Noise ; Radiographic Image Enhancement ; Radiography, Dental, Digital ; Tooth

PURPOSE: Adenosis lesions of the breast, including sclerosing adenosis and adenosis tumors, are a group of benign proliferative disorders that may mimic the features of malignancy on imaging. In this study, we aim to describe the features of breast adenosis lesions with suspicious or borderline findings on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). METHODS: In our database, we identified 49 pathologically proven breast adenosis lesions for which the final assessment of the breast MRI report was classified as either category 4 (n=45) or category 5 (n=4), according to the Breast Imaging Reporting and Data System (BI-RADS) published by the American College of Radiology (ACR). The lesions had a final diagnosis of either pure adenosis (n=33, 67.3%) or mixed adenosis associated with other benign pathologies (n=16, 32.7%). RESULTS: Of the 49 adenosis lesions detected on DCE-MRI, 32 (65.3%) appeared as enhancing masses, 16 (32.7%) as nonmass enhancements, and one (2.1%) as a tiny enhancing focus. Analysis of the enhancing masses based on the ACR BI-RADS lexicon revealed that among the mass descriptors, the most common features were irregular shape in 12 (37.5%), noncircumscribed margin in 20 (62.5%), heterogeneous internal pattern in 16 (50.0%), rapid initial enhancement in 32 (100.0%), and wash-out delayed en-hancement pattern in 21 (65.6%). Of the 16 nonmass enhancing lesions, the most common descriptors included focal distribution in seven (43.8%), segmental distribution in six (37.5%), clumped internal pattern in nine (56.3%), rapid initial enhancement in 16 (100.0%), and wash-out delayed enhancement pattern in eight (50.0%). CONCLUSION: Adenosis lesions of the breast may appear suspicious on breast MRI. Awareness of these suspi-cious-appearing features would be helpful in obviating unnecessary breast biopsies.
Biopsy ; Breast* ; Diagnosis ; Fibrocystic Breast Disease ; Information Systems ; Magnetic Resonance Imaging* ; Pathology ; Subject Headings

No abstract available.
Breast* ; Magnetic Resonance Imaging*

PURPOSE: Motorcycle accident is a major cause of road traffic injuries and the motorcyclists are considered as vulnerable road users. The present study aimed to determine the epidemiological characteristics of fatal motorcycle crashes in Iran. METHODS: In this cross-sectional study, a total of 28,356 motorcycle traffic fatalities registered in the Legal Medicine Organization of Iran were analyzed during the period between March 2011 and March 2017. The examined variables included demographic characteristics, helmet use, crash mechanisms, crash location, position state, type of counterpart vehicle, cause of death and place of death. In the study, road traffic mortalities involving drivers and/or passenger of motorcycles were included. Cases or events registered without these conditions were excluded from the study. To analyse the data, SPSS statistics 25 and GraphPad Prism 8 softwares were used. RESULTS: Of the 122,682 fatal traffic injury cases, 28,356 (23.1%) were motorcycle users, of whom 95.3% were male and 4.7% were female. Most of the motorcycle fatalities belonged to the age group of 18-24 years (29.1%). Head trauma was the major cause of death (59.0%). Also, the overall proportion of safety helmet use among motorcycle crash victims was estimated at 37.4%. Most of the road traffic crash cases (46.8%) happened out of city and half of people (49.9%) died in hospital. About 77.4% of the victims were motorcycle riders and 21.1% were pillion passengers. The highest rate of mortality belonged to the self-employed (38.4%) and then workers (21.8%) and students (10.2%). In addition, most fatalities occurred in people with low education (77.5%) and the least occurred in university graduates (5.5%). Among 31 provinces of Iran, Fars had the highest (9.3%) occurrence rate and Kohgiluyeh and Buyer-Ahmad had the lowest (0.5%). Most of the crash mechanisms were due to motorcycle-vehicle crashes (80.2%), followed by rollover (9.8%). CONCLUSION Comprehensive public education and special rules are needed to reduce the rate of deaths in motorcycle crashes.
Accidental Injuries ; epidemiology ; mortality ; prevention & control ; Accidents, Traffic ; mortality ; prevention & control ; statistics & numerical data ; Adolescent ; Adult ; Child ; Cross-Sectional Studies ; Educational Status ; Female ; Head Protective Devices ; statistics & numerical data ; Health Education ; Humans ; Iran ; epidemiology ; Male ; Middle Aged ; Motorcycles ; Registries ; Young Adult