Do Chamomile effect on duration, amount of bleeding, and interval of menstrual cycles?

Mollabashi, Elham Najafi,Ziaie, Tahereh,Bekhradi, Reza,Khalesi, Zahra Bostani KOREAN PHARMACOPUNCTURE INSTITUTE 2020 Journal of pharmacopuncture Vol.23 No.1

Objectives: Heavy menstrual bleeding has a significant effect on women's daily life and health consequences for theirs. Attention to women's and girls' menstrual health is critical for their health. This study presents the results of a novel research on the effect of chamomile capsule on the amount of bleeding, and the duration and interval of menstrual cycles. Methods: The current study was a randomized, double-blind, clinical trial, which was carried out on 118 female students living in dorms of Guilan University of Medical Sciences. The participants were divided into two groups of 59, each receiving either chamomile capsule 250 mg or placebo three times a day, for an interval beginning from 7 days before the starting menstruation till the next onset. Higham chart is the pictorial blood loss assessment to determine the amount and duration of menstrual bleeding. Data were analyzed using SPSS version 20. Alpha was set at 0.05 for all analyses. Results: The average amount of bleeding in the chamomile group decreased after taking the capsule (p = 0.001). However, statistical tests did not show any significant difference in terms of duration and interval between two bleeding in both the experimental and control groups (p > 0.05). Conclusion: The present study showed that the chamomile capsule decreases the amount of menstrual bleeding and can be used as a therapeutic method. Conclusion:The present study showed that the chamomile capsule decreases the amount of menstrual bleeding and can be used as a therapeutic method.

Do Chamomile effect on duration, amount of bleeding, and interval of menstrual cycles?

Elham Najafi Mollabashi,Tahereh Ziaie,Reza Bekhradi,Zahra Bostani Khalesi 대한약침학회 2020 Journal of pharmacopuncture Vol.23 No.1

Objectives: Heavy menstrual bleeding has a significant effect on women’s daily life and health consequences for theirs. Attention to women’s and girls’ menstrual health is critical for their health. This study presents the results of a novel research on the effect of chamomile capsule on the amount of bleeding, and the duration and interval of menstrual cycles. Methods: The current study was a randomized, double-blind, clinical trial, which was carried out on 118 female students living in dorms of Guilan University of Medical Sciences. The participants were divided into two groups of 59, each receiving either chamomile capsule 250 mg or placebo three times a day, for an interval beginning from 7 days before the starting menstruation till the next onset. Higham chart is the pictorial blood loss assessment to determine the amount and duration of menstrual bleeding. Data were analyzed using SPSS version 20. Alpha was set at 0.05 for all analyses. Results: The average amount of bleeding in the chamomile group decreased after taking the capsule (p = 0.001). However, statistical tests did not show any significant difference in terms of duration and interval between two bleeding in both the experimental and control groups (p > 0.05). Conclusion: The present study showed that the chamomile capsule decreases the amount of menstrual bleeding and can be used as a therapeutic method. Conclusion: The present study showed that the chamomile capsule decreases the amount of menstrual bleeding and can be used as a therapeutic method.

Position of the hyoid bone and its correlation with airway dimensions in different classes of skeletal malocclusion using cone-beam computed tomography

Shokri, Abbas,Mollabashi, Vahid,Zahedi, Foozie,Tapak, Leili Korean Academy of Oral and Maxillofacial Radiology 2020 Imaging Science in Dentistry Vol.50 No.2

Purpose: This study investigated the position of the hyoid bone and its relationship with airway dimensions in different skeletal malocclusion classes using cone-beam computed tomography (CBCT). Materials and Methods: CBCT scans of 180 participants were categorized based on the A point-nasion-B point angle into class I, class II, and class III malocclusions. Eight linear and 2 angular hyoid parameters(H-C3, H-EB, H-PNS, H-Me, H-X, H-Y, H-[C3-Me], C3-Me, H-S-Ba, and H-N-S) were measured. A 3-dimensional airway model was designed to measure the minimum cross-sectional area, volume, and total and upper airway length. The mean crosssectional area, morphology, and location of the airway were also evaluated. Data were analyzed using analysis of variance and the Pearson correlation test, with P values <0.05 indicating statistical significance. Results: The mean airway volume differed significantly among the malocclusion classes(P<0.05). The smallest and largest volumes were noted in class II (2107.8±844.7 ㎣) and class III (2826.6±2505.3 ㎣), respectively. The means of most hyoid parameters (C3-Me, C3-H, H-Eb, H-Me, H-S-Ba, H-N-S, and H-PNS) differed significantly among the malocclusion classes. In all classes, H-Eb was correlated with the minimum cross-sectional area and airway morphology, and H-PNS was correlated with total airway length. A significant correlation was also noted between H-Y and total airway length in class II and III malocclusions and between H-Y and upper airway length in class I malocclusions. Conclusion: The position of the hyoid bone was associated with airway dimensions and should be considered during orthognathic surgery due to the risk of airway obstruction.

Magnetic resonance imaging study of incidental findings in the paranasal sinuses and ostiomeatal complex

Yousefi Faezeh,Mollabashi Mina,Shokri Abbas,Tavakoli Emad,Farhadian Maryam,Tavakoli Ali 대한영상치의학회 2022 Imaging Science in Dentistry Vol.52 No.1

Purpose: This study aimed to assess incidental abnormal findings in the paranasal sinuses and anatomical variations of the ostiomeatal complex (OMC) on magnetic resonance imaging (MRI) scans. Materials and Methods: MRI scans of 616 patients (mean age, 44.0±19.4 years) were evaluated. Prior to obtaining the MRI scans, a checklist of patients’ clinical symptoms was filled out after obtaining their consent. The Lund- Mackay classification was used to assess the paranasal sinuses and OMC. The prevalence of abnormal findings and their associations with patients’ age, sex, and subjective symptoms were analyzed by the chi-square test, independent-sample t-test, and analysis of variance. The level of significance was set at 0.05. Results: Abnormal findings in the paranasal sinuses were detected in 32.0% of patients, with a significantly higher prevalence in males (P<0.05), but no significant association with age (P>0.05). Epithelial thickening and retention cyst were the most common abnormal findings in the paranasal sinuses. According to the Lund-Mackay classification, 93% of the study population had normal sinuses (score<4). Concha bullosa and paradoxical concha were detected in 15.3% and 3.4%, respectively, with no significant association with the presence of septal deviation or Lund-Mackay classification (P>0.05). Conclusion: Considering the relatively high prevalence of abnormal findings in the paranasal sinuses, it appears that clinical symptoms alone are not sufficient to diagnose sinusitis. A more accurate strategy would be to assess radiographic images of the paranasal sinuses and use a classification system. Sinusitis should be suspected in patients receiving a high score in this classification.

Sex determination from lateral cephalometric radiographs using an automated deep learning convolutional neural network

Khazaei Maryam,Mollabashi Vahid,Khotanlou Hassan,Farhadian Maryam 대한영상치의학회 2022 Imaging Science in Dentistry Vol.52 No.3

Purpose: Despite the proliferation of numerous morphometric and anthropometric methods for sex identification based on linear, angular, and regional measurements of various parts of the body, these methods are subject to error due to the observer’s knowledge and expertise. This study aimed to explore the possibility of automated sex determination using convolutional neural networks(CNNs) based on lateral cephalometric radiographs. Materials and Methods: Lateral cephalometric radiographs of 1,476 Iranian subjects (794 women and 682 men) from 18 to 49 years of age were included. Lateral cephalometric radiographs were considered as a network input and output layer including 2 classes(male and female). Eighty percent of the data was used as a training set and the rest as a test set. Hyperparameter tuning of each network was done after preprocessing and data augmentation steps. The predictive performance of different architectures (DenseNet, ResNet, and VGG) was evaluated based on their accuracy in test sets. Results: The CNN based on the DenseNet121 architecture, with an overall accuracy of 90%, had the best predictive power in sex determination. The prediction accuracy of this model was almost equal for men and women. Furthermore, with all architectures, the use of transfer learning improved predictive performance. Conclusion: The results confirmed that a CNN could predict a person’s sex with high accuracy. This prediction was independent of human bias because feature extraction was done automatically. However, for more accurate sex determination on a wider scale, further studies with larger sample sizes are desirable.

Sex determination from lateral cephalometric radiographs using an automated deep learning convolutional neural network

Khazaei, Maryam,Mollabashi, Vahid,Khotanlou, Hassan,Farhadian, Maryam Korean Academy of Oral and Maxillofacial Radiology 2022 Imaging Science in Dentistry Vol.52 No.-

Purpose: Despite the proliferation of numerous morphometric and anthropometric methods for sex identification based on linear, angular, and regional measurements of various parts of the body, these methods are subject to error due to the observer's knowledge and expertise. This study aimed to explore the possibility of automated sex determination using convolutional neural networks(CNNs) based on lateral cephalometric radiographs. Materials and Methods: Lateral cephalometric radiographs of 1,476 Iranian subjects (794 women and 682 men) from 18 to 49 years of age were included. Lateral cephalometric radiographs were considered as a network input and output layer including 2 classes(male and female). Eighty percent of the data was used as a training set and the rest as a test set. Hyperparameter tuning of each network was done after preprocessing and data augmentation steps. The predictive performance of different architectures (DenseNet, ResNet, and VGG) was evaluated based on their accuracy in test sets. Results: The CNN based on the DenseNet121 architecture, with an overall accuracy of 90%, had the best predictive power in sex determination. The prediction accuracy of this model was almost equal for men and women. Furthermore, with all architectures, the use of transfer learning improved predictive performance. Conclusion: The results confirmed that a CNN could predict a person's sex with high accuracy. This prediction was independent of human bias because feature extraction was done automatically. However, for more accurate sex determination on a wider scale, further studies with larger sample sizes are desirable.

Position of the hyoid bone and its correlation with airway dimensions in different classes of skeletal malocclusion using cone-beam computed tomography

Abbas Shokri,Vahid Mollabashi,Foozie Zahedi,Leili Tapak 대한영상치의학회 2020 Imaging Science in Dentistry Vol.50 No.2

Purpose: This study investigated the position of the hyoid bone and its relationship with airway dimensions in different skeletal malocclusion classes using cone-beam computed tomography (CBCT). Materials and Methods: CBCT scans of 180 participants were categorized based on the A point-nasion-B point angle into class I, class II, and class III malocclusions. Eight linear and 2 angular hyoid parameters (H-C3, H-EB, H-PNS, H-Me, H-X, H-Y, H-[C3-Me], C3-Me, H-S-Ba, and H-N-S) were measured. A 3-dimensional airway model was designed to measure the minimum cross-sectional area, volume, and total and upper airway length. The mean crosssectional area, morphology, and location of the airway were also evaluated. Data were analyzed using analysis of variance and the Pearson correlation test, with P values <0.05 indicating statistical significance. Results: The mean airway volume differed significantly among the malocclusion classes (P<0.05). The smallest and largest volumes were noted in class II (2107.8±844.7 mm3) and class III (2826.6±2505.3 mm3), respectively. The means of most hyoid parameters (C3-Me, C3-H, H-Eb, H-Me, H-S-Ba, H-N-S, and H-PNS) differed significantly among the malocclusion classes. In all classes, H-Eb was correlated with the minimum cross-sectional area and airway morphology, and H-PNS was correlated with total airway length. A significant correlation was also noted between H-Y and total airway length in class II and III malocclusions and between H-Y and upper airway length in class I malocclusions. Conclusion: The position of the hyoid bone was associated with airway dimensions and should be considered during orthognathic surgery due to the risk of airway obstruction.

Impact of a narrative medicine program on reflective capacity and empathy of medical students in Iran

Saeideh Daryazadeh,Payman Adibi,Nikoo Yamani,Roya Mollabashi 한국보건의료인국가시험원 2020 보건의료교육평가 Vol.17 No.-

Purpose: Narrative medicine consists of the expression of medical experiences and the reflection on narratives to foster empathic communication with patients. Reflecting on narratives increases self-awareness and recognition of the feelings of the narrator or the story’smain character, which in turn affects the audience. This study was conducted to examine the impact of a narrative medicine program onthe reflective capacity and empathy of medical students. Methods: A quasi-experimental study was performed during the 2018–2019 academic year at Isfahan University of Medical Sciencesin Iran involving 135 medical interns in 2 groups (control [n=66] and experimental [n=69]). Interns in the experimental group tookpart in seven 2-hour reflective practice sessions, while those in the control group underwent no educational intervention. Pre-test andpost-test assessments were conducted for both groups using 2 valid and reliable tools for the assessment of reflective capacity and empathy. Mean reflection and empathy scores were compared within groups (between pre- and post-test values) and between groups (usingthe paired-t test and the t-test; P≤0.05). Results: The mean reflection and empathy scores of the experimental group significantly increased from pre-test to post-test, but thoseof the control group did not. Moreover, the mean post-test scores were significantly different between the 2 groups (P<0.001). Conclusion: Narrative medicine is an effective teaching method that can improve reflective capacity and empathy, thereby ultimatelypromoting professionalism as a core competency in medicine. Consideration of learning conditions and interdisciplinary teaching arenecessary for implementing a narrative medicine program.