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Showing 2 results for Naghavi
Conservative Management of a Dentigerous Cyst Associated with Impacted Maxillary Premolar Teeth, a Case Report with a Review of Literatures
Aliakbar Naghavialhosseini, Mina Pakkhesal, Maryam Ghelichli, Amir Reza Ahmadinia,
Volume 10, Issue 3 (10-2022)
Abstract

A Dentigerous Cyst (DC) is the most common developmental odontogenic cyst that mostly happens in patients between 10 to 30 years of age. It is usually completely asymptomatic and is discovered on a routine radiographic examination or to evaluate the reason for an erupted tooth. Radiographically, this cyst usually presents a well-defined unilocular radiolucency attached to CEJ of an unerupted tooth which can cause displacement of adjacent tooth or resorption.
This article reports a large infected DC in a 10-year-old male patient related to first and second premolar maxillary teeth, which did not erupt or even change their positions. DC was treated successfully by decompression. After 2 years follow up, there was no evidence of recurrence. In conclusion, marsupialization of cyst with no orthodontic intervention or tooth extraction is a conservative, efficient protocol that stimulates bone healing and promotes the eruption of unerupted teeth even if they are deeply crowded.


Diet management system (SAMAR): A software for evaluating and designing the diet of Iranians
Nasser Behnampour , Seyd Hodjat Naghavi , Hasan Khorsha , Mohammad Reza Honarvar,
Volume 13, Issue 1 (9-2025)
Abstract
Background: Dietary intake assessment is a critical component of the nutrition care process, essential for identifying nutritional deficiencies and formulating effective interventions. Accurate analysis requires access to a reliable food composition database that reflects cultural and regional dietary habits. In Iran, existing software solutions fall short in adequately representing traditional foods, highlighting the need for a localized database. The SAMAR software addresses this gap by enabling users to monitor nutrient intake and tailor dietary plans to better meet the nutritional needs of the Iranian population.
Methods: We conducted a comparative analysis of food intake data from 30 patients using the SAMAR system and the Nutritionist 4 (NUT4) system. After inputting the data into both software platforms, we compared the results. The normality of the data was assessed using the Shapiro-Wilk test, and Pearson or Spearman correlation coefficients were computed. To evaluate the relationship between the values derived from each system, we reported the linear regression model alongside the Bland-Altman diagram.
Results: The comparative analysis between the SAMAR software and NUT4 demonstrated a strong agreement in nutrient analysis results, indicating that SAMAR is suitable for nutritional assessments within Iranian contexts. SAMAR exhibited a direct correlation with NUT4 regarding energy and nutrient content. The linear regression models revealed significant relationships for the majority of the nutrients analyzed. The user-friendly interface of SAMAR, along with its compatibility with Iranian dietary patterns, renders it a valuable resource for nutritionists and researchers. Additionally, the software's capacity to incorporate local foods enhances its functionality, making it more effective than other software applications. 
Conclusion: SAMAR uses the Iranian Food Database. The observed positive correlation between SAMAR and NUT4 in nutrient analysis underscores the reliability and user-friendliness of SAMAR for dietary intake assessment in Iran.

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