Shahid Beheshti University of Medical Sciences and Health Services

About: Shahid Beheshti University of Medical Sciences and Health Services is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Population & Cancer. The organization has 19456 authors who have published 33659 publications receiving 365676 citations.

Deep Learning in the Detection and Diagnosis of COVID-19 Using Radiology Modalities: A Systematic Review.

Abstract: Introduction: The early detection and diagnosis of COVID-19 and the accurate separation of non-COVID-19 cases at the lowest cost and in the early stages of the disease are among the main challenges in the current COVID-19 pandemic. Concerning the novelty of the disease, diagnostic methods based on radiological images suffer from shortcomings despite their many applications in diagnostic centers. Accordingly, medical and computer researchers tend to use machine-learning models to analyze radiology images. Material and Methods. The present systematic review was conducted by searching the three databases of PubMed, Scopus, and Web of Science from November 1, 2019, to July 20, 2020, based on a search strategy. A total of 168 articles were extracted and, by applying the inclusion and exclusion criteria, 37 articles were selected as the research population. Result: This review study provides an overview of the current state of all models for the detection and diagnosis of COVID-19 through radiology modalities and their processing based on deep learning. According to the findings, deep learning-based models have an extraordinary capacity to offer an accurate and efficient system for the detection and diagnosis of COVID-19, the use of which in the processing of modalities would lead to a significant increase in sensitivity and specificity values. Conclusion: The application of deep learning in the field of COVID-19 radiologic image processing reduces false-positive and negative errors in the detection and diagnosis of this disease and offers a unique opportunity to provide fast, cheap, and safe diagnostic services to patients.

The effect of prepregnancy body mass index on the risk of gestational diabetes mellitus: A systematic review and dose-response meta-analysis.

Abstract: This study was conducted to investigate the effect of the prepregnancy BMI on the risk of gestational diabetes mellitus (GDM). Five electronic databases, including PubMed, Scopus, Embase, Web of Science, and Google Scholar, were searched for literature published until 1 January 2018. The two-stage, random effect meta-analysis was performed to compare the dose-response relationship between BMI and GDM. As well as studies with categorized BMI, studies that treat BMI as a continuous variable were analysed. A total of 33 observational studies with an overall sample size of 962 966 women and 42 211 patients with GDM were included in analysis. The pooled estimate of GDM risk in the underweight, overweight, and obese pregnant women was 0.68, 2.01, and 3.98 using the adjusted OR and 0.34, 1.52, and 2.24 using the adjusted RR. The GDM risk increased 4% per unit of increase in BMI with both the crude and adjusted OR/RR models. Also, the risk of GDM increased 19% with the crude model and 14% with the adjusted model. The existence of dose-response relationship between the pre-pregnancy BMI and GDM can strengthen the scientific background for vigorous public health interventions for the control of pre-pregnancy BMI as well as the weight gain during pregnancy.

Levels and ecological and health risk assessment of PM 2.5 -bound heavy metals in the northern part of the Persian Gulf

Abstract: Bushehr, a port along the northern part of the Persian Gulf, has repeatedly encountered dust storms in recent years but there is not been a comprehensive study on the PM2.5 contents in this region. The present study reports the characteristics and health risks of atmospheric PM2.5-bound heavy metals (HMs) in Bushehr from December 2016 to September 2017. A total of 46 samples were analyzed, and a high volume air sampler equipped with quartz fiber filters was used for sampling. Inductively coupled plasma optical emission spectroscopy (ICP-OES) was also used for HMs analyses. Risk assessment and hazard index (HI) of these metals were computed by using USEPA’s exposure parameters. The results showed that the average 24-h mass concentration of PM2.5 ranged from 22.09 to 292.45 μg/m3. The results also indicated that 95.65 and 82.61% of the samples were higher than WHO and EPA guidelines for 24-h PM2.5. Also there was no statistically significant relationship between wind direction and PM2.5.The average concentration levels of seven measured metals (Cd, Co, Cr, Fe, Ni, Pb, and V) in the PM2.5 samples were in the range of 6.03 ng/m3 to 1335.94 ng/m3, and the order of their concentration was Fe > Ni > Pb > Cr > Cd > V > Co. Principal component analysis (PCA) showed that PM2.5-bound heavy metals were categorized in three groups. The ecological risk level of calculated metals was very significant, and the major contribution of the ecological risk was related to Cd. The highest HQ in children and adults was related to Cr, and overall HI in children was higher than adults. Also the RI values of Cr in both groups of children and adults were indicated high risk of developing cancer in human.

Two-year results of vital pulp therapy in permanent molars with irreversible pulpitis: an ongoing multicenter randomized clinical trial.

Abstract: Oral healthcare expenses are increasing rapidly as a result of the growth of high-cost health technologies worldwide. In many developing/developed countries, low-cost tooth extraction is the alternative treatment option for a high-cost root canal therapy (RCT) for management of human molars with irreversible pulpitis. Vital pulp therapy with calcium-enriched mixture cement (VPT/CEM) as a new alternative treatment option has demonstrated excellent treatment outcomes up to 1 year; if 2-year radiographic/clinical effectiveness as well as cost-effectiveness of the VPT/CEM is also non-inferior compared with RCT, it can serve as a viable treatment for mature molars with irreversible pulpitis. In this prospective, multicenter (n = 23), non-inferiority clinical trial, 407 patients were randomized to either one-visit RCT (n = 202) or VPT/CEM (n = 205) for 27 months. In this part of study, the primary outcome measure was the 2-year clinical and radiographic treatment outcomes. Cost-effectiveness was also analyzed. Mean follow-up times were 24.62 ± 0.72 and 24.61 ± 0.69 months in RCT (n = 166) and VPT/CEM (n = 166) arms, respectively. Clinical success rates in the two study arms were equal (98.19 %); however, radiographic success rates were 79.5 and 86.7 % in RCT and VPT/CEM arms, respectively, with no statistical difference (P = 0.053). The treatment time span mean was approximately three times greater in the RCT than in the VPT/CEM arm (94.07 vs. 31.09 min; P < 0.001). RCT had a cost of 171.5K per molar tooth compared with 44.5K for VPT. VPT/CEM reduced time and cost spent. When considering clinical as well as cost-effectiveness of VPT/CEM, this treatment option is not only non-inferior but also superior to RCT in mature permanent molar teeth with established irreversible pulpitis. Vital pulp therapy with CEM is a cost-effective and reliable biological technique for endodontic treatment of permanent molar teeth with irreversible pulpitis and can be recommended for general clinical practice.