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Measurement of airway related distances: virtual bronchoscopy in 140 cases
Noyan Ashraf Ma, Samadi Sh, Ghanaati H, Farahani Dawood-Abadi A,
Volume 67, Issue 5 (8-2009)
Abstract

Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Background: The insertion depth of tracheal tube differs based on sex, age, position of head and neck, type of surgery, and anatomical consideration. The aim of this study was to determine the airway related distances in Iranian patients with a non-invasive, and accurate method, the computerized reconstruction of High Resolution CT (HRCT) Virtual Bronchoscopy.
Methods: A total of 140 Iranian patients who became candidate for sinus and chest tomography, were enrolled in a cross- sectional study in Imam Khomeini Hospital Complex, Tehran, Iran, from 2006 to 2008. After reconstruction of airway related distances, Incisor- Vocal cord (IVD), Vocal cord- Carina (VCD) and Incisor- Carinal (ICD) Distances were determined.
Results: A total of 140 patients were evaluated, while 70(50%) were male. There was no statistically significant difference between age groups, sex and BMI in study patients. The measured IVD were 145.5±9.7 (males), 127.29±6.3 (females) and 136.43±12.29mm (total). For VCD, the distances were 131±13.99 (males), 122.59±11.7 (females), and 127.09±13.65mm (total). The measures for ICD in males, females, and total of patients were 277.17±16.63, 249.88±11.54, and 263.52±19.66mm respectively.
Conclusion: The insertion depth for fixation of endotracheal tube in Iranian adult patients is the same as that of anesthesia textbooks. There were no statistically significant difference between our study data and previously measured distances using invasive and less accurate methods. Virtual bronchoscopy is a noninvasive and accurate method based on reconstruction of computed tomographic images and the reconstructed images of tomography could be useful in measuring and assessment of airway anatomy.


Predicting the Performance of Faculty Members of Medical Universities in Providing Virtual Learning in the Covid-19 Pandemic in terms of Problem-Solving Methods and Their Individual Social Characteristics: A Data Mining Study
Mohammad Sattari, Rahele Samouei,
Volume 80, Issue 12 (3-2023)
Abstract
Background: In the Covid-19 Pandemic, virtual education in universities became essential and came with some challenges, especially for professors who had the role of presenters. In this regard, the study was conducted to predict the performance of professors in providing virtual training in Covid-19 in terms of problem-solving methods and their demographics.
Methods: A descriptive-analytical study was performed on 252 professors of Iranian universities of medical sciences from 2021 April to 2021. Also, demographic characteristics such as gender, field of study, position, job rank and work experience were asked. The faculty members' performance questionnaire in providing virtual training (α=0.89) and the problem-solving methods questionnaire (α=0.75) was administered virtually and the data were analyzed by Random forest, CHAID and ID3 techniques.
Results: Based on used data mining methods findings, factors related to teachers' satisfaction with their performance in providing virtual education were "the possibility of monitoring the performance of homework", "establishing order and regulations", "preparing standard educational content", "using multimedia content", "Mastery of software, educational systems, and multimedia content", and "possibility of examining the quality and quantity of students' learning". Also, interpersonal problem-solving methods, such as "believing in the role of personality traits of people in their behavior", "solving problems with effort and follow-up", "notifying people's mistakes in interpersonal interactions", "giving people the opportunity to check their behavior", "proposing solutions to solve problems for the benefit of both parties", and "dividing big problems into smaller parts" have played a big role in professors' satisfaction about their teaching methods. These characteristics are related to more basic areas such as self-regulation, pursuit and challenge, agreeableness, and realism.
Conclusion: The results of the study showed that the performance of teachers in providing virtual education is influenced by some behavioral factors and individual situational abilities. However, despite the virtual training implementation difficulties, it is a productive opportunity that can be used in the days of returning for conditions (after-covid 19 condition) without physical distance along with face-to-face training.

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