Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15340
Mojgan Hasanzadeh, Mohammad-Taghi Bahreyni-Toossi, Majid Darroudi, S. Khademi, Fereshteh Vaziri-Nezamdoost, H. Azimian
Purpose: In premenopausal women, abdominopelvic radiotherapy may have a direct and profound effect on ovarian function. Stabilized selenium Nanoparticles (NPs) with some natural materials have been demonstrated to have high antioxidant activity and reduce radiation damage as a radioprotector. This study was done to compare the ability for the biosynthesis of selenium NPs by Gum Arabic (Se-GA) and Polyanionic Cellulose (Se-PAC) in the protection of Chinese Hamster Ovary (CHO) cells against radiation damage. Materials and Methods: First, Selenium Nanoparticles (SeNPs) were synthesized in the presence of GA and PAC. Then, CHO cells were cultured in-vitro and were randomly divided into six groups in different concentrations of Se-GA and Se-PAC to measure the biocompatibility of NPs. Finally, cells were treated with NPs and radiation (6MV, 2Gy), and the percentage of cell survival was determined by MTT assay. Both NPs with an average size of 20-30 nm and an absorption absorbance peak at about 300 nm using Ultraviolet-Visible (UV–Vis) spectroscopy. Results: According to the parametric t-test analysis, Se-GA nanoparticles with a concentration higher than 0.4 ppm significantly increased the radioprotective effect on CHO cells compared to the control group (P<0.05). However, Se-PAC showed no significant increase in radioprotection in contrast to the control group (P>0.05). Conclusion: Se-GA nanoparticles have antioxidant properties, and the radiation protection properties of Se-GA nanoparticles are significantly higher than control. Consequently, Se-GA nanoparticles showed promising results and may be able to play the role of a radioprotector.
目的：对于绝经前妇女，腹盆腔放疗可能会对卵巢功能产生直接而深远的影响。一些天然材料的稳定硒纳米粒子（NPs）已被证明具有很高的抗氧化活性，并能减少辐射损伤，是一种放射保护剂。本研究旨在比较阿拉伯胶（Se-GA）和聚阴离子纤维素（Se-PAC）在保护中国仓鼠卵巢（CHO）细胞免受辐射损伤方面生物合成硒纳米粒子的能力。材料与方法：首先，在 GA 和 PAC 的存在下合成硒纳米粒子（SeNPs）。然后，体外培养 CHO 细胞，在不同浓度的 Se-GA 和 Se-PAC 中随机分为六组，以测定 NPs 的生物相容性。最后，用 NPs 和辐射（6MV，2Gy）处理细胞，并用 MTT 法测定细胞存活率。两种 NPs 的平均粒径均为 20-30 纳米，利用紫外可见光谱（UV-Vis）在约 300 纳米处出现吸收峰。研究结果根据参数 t 检验分析，与对照组相比，浓度高于 0.4 ppm 的 Se-GA 纳米粒子能显著提高对 CHO 细胞的辐射防护作用（P0.05）。结论Se-GA纳米粒子具有抗氧化性，其辐射防护性能明显高于对照组。因此，Se-GA 纳米粒子显示出良好的效果，可以发挥辐射防护作用。
{"title":"Comparative Study of Biosynthesizing Selenium Nanoparticles by Gum Arabic and Poly Anionic Cellulose to Prevent Radiation-Induced Death in Chinese Hamster Ovary (CHO) Cells","authors":"Mojgan Hasanzadeh, Mohammad-Taghi Bahreyni-Toossi, Majid Darroudi, S. Khademi, Fereshteh Vaziri-Nezamdoost, H. Azimian","doi":"10.18502/fbt.v11i2.15340","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15340","url":null,"abstract":"Purpose: In premenopausal women, abdominopelvic radiotherapy may have a direct and profound effect on ovarian function. Stabilized selenium Nanoparticles (NPs) with some natural materials have been demonstrated to have high antioxidant activity and reduce radiation damage as a radioprotector. This study was done to compare the ability for the biosynthesis of selenium NPs by Gum Arabic (Se-GA) and Polyanionic Cellulose (Se-PAC) in the protection of Chinese Hamster Ovary (CHO) cells against radiation damage. \u0000Materials and Methods: First, Selenium Nanoparticles (SeNPs) were synthesized in the presence of GA and PAC. Then, CHO cells were cultured in-vitro and were randomly divided into six groups in different concentrations of Se-GA and Se-PAC to measure the biocompatibility of NPs. Finally, cells were treated with NPs and radiation (6MV, 2Gy), and the percentage of cell survival was determined by MTT assay. Both NPs with an average size of 20-30 nm and an absorption absorbance peak at about 300 nm using Ultraviolet-Visible (UV–Vis) spectroscopy. \u0000Results: According to the parametric t-test analysis, Se-GA nanoparticles with a concentration higher than 0.4 ppm significantly increased the radioprotective effect on CHO cells compared to the control group (P<0.05). However, Se-PAC showed no significant increase in radioprotection in contrast to the control group (P>0.05). \u0000Conclusion: Se-GA nanoparticles have antioxidant properties, and the radiation protection properties of Se-GA nanoparticles are significantly higher than control. Consequently, Se-GA nanoparticles showed promising results and may be able to play the role of a radioprotector.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"26 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15337
Arman Saeedivahdat, Tohid Babaei, Nadereh Ariamanesh, Hadi Monzavi, Pouya Badri, Ali Nokhbeh
Purpose: The present study aims to assess the differences in the condyle position for two skeletal classes using Cone-Beam Computed Tomography (CBCT) reconstructions for both sides and genders. Materials and Methods: In this cross-sectional descriptive study, the CBCT images of 96 patients (20-60 years) were assessed. The participants were divided according to their Angle malocclusion classifications (Angle Classes I and III). The variables of the Anterior-Posterior position of the Condyle (APC), condylar angle in the axial plane (ACA), the Lateral Position of the Condyle in the axial plane (LPC), the Vertical Position of the Condyle (VPC), condylar angle in coronal dimension (CCA), and the difference of APC and VPC on both sides were measured. The measurements were analyzed using a one‑way ANOVA and Tukey’s post hoc test. Results: The variables of APC, LPC, ACA, VDC, and the difference of the APC on both sides in the two skeletal classes were similar. The VPC and CCA were greater in Class III than in Class I. All variables representing the 3D position of the condyle were similar in men and women, as well as on the right and left in both skeletal classes, I and III. Conclusion: Based on the 3D evaluation results of the condylar position, the skeletal classes III and I differed in the VPC and CCA; however, for the rest variables, there were no statistical differences.
目的：本研究旨在使用锥形束计算机断层扫描（CBCT）对两侧和两性的髁突位置进行重建，以评估两种骨骼等级的髁突位置差异。材料与方法：在这项横断面描述性研究中，对 96 名患者（20-60 岁）的 CBCT 图像进行了评估。根据患者的角度错合畸形分类（角度等级 I 和 III）对其进行了划分。测量的变量包括髁突的前后位置（APC）、髁突在轴面上的角度（ACA）、髁突在轴面上的侧面位置（LPC）、髁突的垂直位置（VPC）、髁突在冠状面上的角度（CCA）以及两侧 APC 和 VPC 的差异。测量结果采用单因素方差分析和 Tukey 后检验进行分析。结果两组骨骼的 APC、LPC、ACA、VDC 变量及两侧 APC 差值相似。代表髁状突三维位置的所有变量在男性和女性中，以及在骨骼等级 I 和 III 中的右侧和左侧都相似。结论根据髁状突位置的三维评估结果，骨骼III级和I级在VPC和CCA方面存在差异；但在其他变量方面，没有统计学差异。
{"title":"A 3D Evaluation of Condyle Position of Skeletal Class I and III Patients: A Cone-Beam Computed Tomography Technique","authors":"Arman Saeedivahdat, Tohid Babaei, Nadereh Ariamanesh, Hadi Monzavi, Pouya Badri, Ali Nokhbeh","doi":"10.18502/fbt.v11i2.15337","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15337","url":null,"abstract":"Purpose: The present study aims to assess the differences in the condyle position for two skeletal classes using Cone-Beam Computed Tomography (CBCT) reconstructions for both sides and genders. \u0000Materials and Methods: In this cross-sectional descriptive study, the CBCT images of 96 patients (20-60 years) were assessed. The participants were divided according to their Angle malocclusion classifications (Angle Classes I and III). The variables of the Anterior-Posterior position of the Condyle (APC), condylar angle in the axial plane (ACA), the Lateral Position of the Condyle in the axial plane (LPC), the Vertical Position of the Condyle (VPC), condylar angle in coronal dimension (CCA), and the difference of APC and VPC on both sides were measured. The measurements were analyzed using a one‑way ANOVA and Tukey’s post hoc test. \u0000Results: The variables of APC, LPC, ACA, VDC, and the difference of the APC on both sides in the two skeletal classes were similar. The VPC and CCA were greater in Class III than in Class I. All variables representing the 3D position of the condyle were similar in men and women, as well as on the right and left in both skeletal classes, I and III. \u0000Conclusion: Based on the 3D evaluation results of the condylar position, the skeletal classes III and I differed in the VPC and CCA; however, for the rest variables, there were no statistical differences.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"38 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140701763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15334
Sayed Mohammad Sakhaei, Sedighe Rahmani Firouzi, Mohamad Ghazanfari Hashemi, S. N. Miratashi Yazdi, Mohammad Ali Kaviani, Maryam Alaei, Helia Helali, Maedeh Ghazanfari Hashemi, Marjan Gholami, Vahid Talebi
Purpose: The present study was designed to evaluate the potential efficacy of Multiparametric-Magnetic Resonance Imaging (MP-MRI) in the detection of prostate cancer locations compared to Transrectal Ultrasound (TRUS) guided biopsy, as the gold standard method. Materials and Methods: A total of 66 subjects participated in this cross-sectional study. All individuals underwent MP-MRI imaging before the prostate TRUS. The findings of either method have been investigated and the comparison had been made using the Chi-squared test. Results: The sensitivity and specificity of the MP-MRI in the diagnosis of prostate cancer were 81.8% and 93.9%, respectively. The positive and negative predictive values were 93.1% and 83.8%, respectively. Conclusion: The current study indicates that the MP-MRI imaging method has sufficient sensitivity and specificity for detecting the location of prostate cancer and can potentially be employed as a clue-providing method prior to the TRUS-guided biopsy.
{"title":"The Diagnostic Value of Multiparametric-MRI in Locating Prostate Cancer in Comparison with Transrectal Ultrasound-Guided Biopsy","authors":"Sayed Mohammad Sakhaei, Sedighe Rahmani Firouzi, Mohamad Ghazanfari Hashemi, S. N. Miratashi Yazdi, Mohammad Ali Kaviani, Maryam Alaei, Helia Helali, Maedeh Ghazanfari Hashemi, Marjan Gholami, Vahid Talebi","doi":"10.18502/fbt.v11i2.15334","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15334","url":null,"abstract":"Purpose: The present study was designed to evaluate the potential efficacy of Multiparametric-Magnetic Resonance Imaging (MP-MRI) in the detection of prostate cancer locations compared to Transrectal Ultrasound (TRUS) guided biopsy, as the gold standard method. \u0000Materials and Methods: A total of 66 subjects participated in this cross-sectional study. All individuals underwent MP-MRI imaging before the prostate TRUS. The findings of either method have been investigated and the comparison had been made using the Chi-squared test. \u0000Results: The sensitivity and specificity of the MP-MRI in the diagnosis of prostate cancer were 81.8% and 93.9%, respectively. The positive and negative predictive values were 93.1% and 83.8%, respectively. \u0000Conclusion: The current study indicates that the MP-MRI imaging method has sufficient sensitivity and specificity for detecting the location of prostate cancer and can potentially be employed as a clue-providing method prior to the TRUS-guided biopsy.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"7 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140703306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15333
Mohammad Davoudi, R. Zabibah, A. Ramírez-Coronel, Ali Hussein Demin Al-Khafaji, Acim Heri Iswanto, G. Ataei, Elham Yousefi, Fatemeh Zahra Nosrati, D. Fazilat-Panah
Purpose: This study aimed to evaluate the lumbar annular tears prevalence regarding the patient’s history factors, and Magnetic Resonance Imaging (MRI) recorded data. Materials and Methods: In this study, 218 patients (106 men and 112 women) were evaluated; 136 cases (63 men and 73 women, 20-80 years, mean: 45.4±14.8 years) with Lower Back Pain (LBP) and High-Intensity Zone (HIZ) were diagnosed based on MR images. The diagnosed annular tears from the MRI data, Body Mass Index (BMI, kg/m2), and physical activity of the patients were recorded, and the prevalence of lumbar annular tears was evaluated regarding the mentioned parameters. Results: The prevalence of annular tears was 31.6% at L5/S1 (43/136 patients), 43.4% at L4/L5 (59/136 patients), 16.9% at L3/L4 (23/136 patients), 4.4% at L2/L3 (6/136 patients), and 3.7% at L1/L2 spinal disc space (5/136 patients). Most patients with annular tears had LBP (>60%). Based on the patient's history, 25% of patients had BMI above 30, 8.8% had post-traumatic history, 15.4% had a history of falling down, 19.1% had slipped down history, 16.2% were athletes, and 15.4% performed heavy work. Conclusion: The prevalence of lumbar annular tears was higher in patients having LBP and a BMI over 30, which should be considered possible risk factors. This study demonstrated that annular tears are more likely to occur in lower lumbar discs, especially in L4/L5 and L5/S1 discs.
{"title":"Analysis of the Prevalence of Lumbar Annular Tears in Adult Patients Using Magnetic Resonance Imaging Data","authors":"Mohammad Davoudi, R. Zabibah, A. Ramírez-Coronel, Ali Hussein Demin Al-Khafaji, Acim Heri Iswanto, G. Ataei, Elham Yousefi, Fatemeh Zahra Nosrati, D. Fazilat-Panah","doi":"10.18502/fbt.v11i2.15333","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15333","url":null,"abstract":"Purpose: This study aimed to evaluate the lumbar annular tears prevalence regarding the patient’s history factors, and Magnetic Resonance Imaging (MRI) recorded data. \u0000Materials and Methods: In this study, 218 patients (106 men and 112 women) were evaluated; 136 cases (63 men and 73 women, 20-80 years, mean: 45.4±14.8 years) with Lower Back Pain (LBP) and High-Intensity Zone (HIZ) were diagnosed based on MR images. The diagnosed annular tears from the MRI data, Body Mass Index (BMI, kg/m2), and physical activity of the patients were recorded, and the prevalence of lumbar annular tears was evaluated regarding the mentioned parameters. \u0000Results: The prevalence of annular tears was 31.6% at L5/S1 (43/136 patients), 43.4% at L4/L5 (59/136 patients), 16.9% at L3/L4 (23/136 patients), 4.4% at L2/L3 (6/136 patients), and 3.7% at L1/L2 spinal disc space (5/136 patients). Most patients with annular tears had LBP (>60%). Based on the patient's history, 25% of patients had BMI above 30, 8.8% had post-traumatic history, 15.4% had a history of falling down, 19.1% had slipped down history, 16.2% were athletes, and 15.4% performed heavy work. \u0000Conclusion: The prevalence of lumbar annular tears was higher in patients having LBP and a BMI over 30, which should be considered possible risk factors. This study demonstrated that annular tears are more likely to occur in lower lumbar discs, especially in L4/L5 and L5/S1 discs.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"25 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15347
Arunkumar Ram, G. Jindal, Uttam Rajaram Bagal, Gajanan D. Nagare
Purpose: Medical professionals throughout the world prefer to use conventional stethoscopes to listen to respiratory sounds. Listening to respiratory sounds through stethoscopes is a subjective matter, and proper diagnosis of the disease depends on the skills and ability of the doctor. Computerized analysis of respiratory sounds can help doctors and researchers to characterize different abnormal respiratory patterns and make informed decisions. Materials and Methods: This study includes previously reported work in different normal and abnormal respiratory sounds. The IEEE, PubMed, Google Scholar and Elsevier databases were searched and studies with the keywords of lung sound analysis, respiratory sound analysis, and respiratory sound classification were included. Detailed characteristics of normal and abnormal respiratory sounds are mentioned. In addition, Time-amplitude characteristics of different respiratory sound plots are obtained using MATLAB and ICBHI database. This study systematically discusses different approaches for respiratory sound analysis like visual analysis of the time-amplitude signals, frequency analysis, and spectral analysis using fast Fourier transform, statistical analysis, and machine learning approach. A list of relevant datasets is mentioned that can help researchers to do further analysis in this domain. Results: The careful observations and analysis show the possibility of predicting respiratory diseases by extracting suitable parameters such as the frequency response and spectral characteristics of the signal. Power spectral density can help us to calculate the maximum, median frequency over an extended period. Using machine learning we can estimate the energy, entropy, spectral features, and wavelets of the signals. Conclusion: Computer-based respiratory sound analysis can help medical professionals in making informed decisions. This will help in early diagnosis and devise effective treatment plans for the patients.
{"title":"Approaches for Respiratory Sound Analysis in Identification of Respiratory Diseases","authors":"Arunkumar Ram, G. Jindal, Uttam Rajaram Bagal, Gajanan D. Nagare","doi":"10.18502/fbt.v11i2.15347","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15347","url":null,"abstract":"Purpose: Medical professionals throughout the world prefer to use conventional stethoscopes to listen to respiratory sounds. Listening to respiratory sounds through stethoscopes is a subjective matter, and proper diagnosis of the disease depends on the skills and ability of the doctor. Computerized analysis of respiratory sounds can help doctors and researchers to characterize different abnormal respiratory patterns and make informed decisions. \u0000Materials and Methods: This study includes previously reported work in different normal and abnormal respiratory sounds. The IEEE, PubMed, Google Scholar and Elsevier databases were searched and studies with the keywords of lung sound analysis, respiratory sound analysis, and respiratory sound classification were included. Detailed characteristics of normal and abnormal respiratory sounds are mentioned. In addition, Time-amplitude characteristics of different respiratory sound plots are obtained using MATLAB and ICBHI database. This study systematically discusses different approaches for respiratory sound analysis like visual analysis of the time-amplitude signals, frequency analysis, and spectral analysis using fast Fourier transform, statistical analysis, and machine learning approach. A list of relevant datasets is mentioned that can help researchers to do further analysis in this domain. \u0000Results: The careful observations and analysis show the possibility of predicting respiratory diseases by extracting suitable parameters such as the frequency response and spectral characteristics of the signal. Power spectral density can help us to calculate the maximum, median frequency over an extended period. Using machine learning we can estimate the energy, entropy, spectral features, and wavelets of the signals. \u0000Conclusion: Computer-based respiratory sound analysis can help medical professionals in making informed decisions. This will help in early diagnosis and devise effective treatment plans for the patients.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"62 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140700504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15335
Marzie Saeidikia, Hadi Seyedarabi, B. Mahmoudian, J. Islamian
Purpose: Noise in brain Single Photon Emission Computed Tomography (SPECT) images limits an early diagnosis of Parkinson's Disease (PD). To overcome the limitation, as an image processing approach, wavelet transformation was used to denoising the images also with a segmentation method to differentiate the basal ganglia in brain SPECT. Materials and Methods: The brain scans of the human 4D Extended Cardiac Torso (XCAT) phantom through the Simulating Medical Imaging Nuclear Detectors (SIMIND) simulated SPECT system were imported to the MATLAB toolkit for image processing. The reconstructed brain images by iterative reconstruction were de-noised through 9 methods of wavelet transformation at different levels, and then six segmentation methods were applied to differentiate the caudate and putamen. The Dice coefficient, Specificity, and Sensitivity evaluation criteria were calculated based on the adaptive thresholding of the selected images from segmentation. A ground truth image was manually marked by a clinical nuclear medicine specialist. Results: The dice coefficient was obtained in a range from 0.3979 to 0.6299, as well as the specificity criterion from 0.7682 to 0.8168 and the sensitivity from 0.9049 to 0.9871. The results from adaptive threshold segmentation and the evaluation criteria showed that the best levels of the nucleuses detectability were provided by level 7 of Biorthogonal, levels 4 and 7 of Coiflet, level 6 of Daubechies, level 5 of Haar, level 6 of Morlet and level 6 of Symlet methods. Conclusion: Parkinson’s disease may be diagnosed in the early stage by an image processing approach to improve the quality of brain SPECT images.
{"title":"Improvement of Basal Ganglia Detectability in Brain Single Photon Emission Computerized Tomography by Wavelet Transformation in Image Processing Domain: A XCAT Phantom Study","authors":"Marzie Saeidikia, Hadi Seyedarabi, B. Mahmoudian, J. Islamian","doi":"10.18502/fbt.v11i2.15335","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15335","url":null,"abstract":"Purpose: Noise in brain Single Photon Emission Computed Tomography (SPECT) images limits an early diagnosis of Parkinson's Disease (PD). To overcome the limitation, as an image processing approach, wavelet transformation was used to denoising the images also with a segmentation method to differentiate the basal ganglia in brain SPECT. \u0000Materials and Methods: The brain scans of the human 4D Extended Cardiac Torso (XCAT) phantom through the Simulating Medical Imaging Nuclear Detectors (SIMIND) simulated SPECT system were imported to the MATLAB toolkit for image processing. The reconstructed brain images by iterative reconstruction were de-noised through 9 methods of wavelet transformation at different levels, and then six segmentation methods were applied to differentiate the caudate and putamen. The Dice coefficient, Specificity, and Sensitivity evaluation criteria were calculated based on the adaptive thresholding of the selected images from segmentation. A ground truth image was manually marked by a clinical nuclear medicine specialist. \u0000Results: The dice coefficient was obtained in a range from 0.3979 to 0.6299, as well as the specificity criterion from 0.7682 to 0.8168 and the sensitivity from 0.9049 to 0.9871. \u0000The results from adaptive threshold segmentation and the evaluation criteria showed that the best levels of the nucleuses detectability were provided by level 7 of Biorthogonal, levels 4 and 7 of Coiflet, level 6 of Daubechies, level 5 of Haar, level 6 of Morlet and level 6 of Symlet methods. \u0000Conclusion: Parkinson’s disease may be diagnosed in the early stage by an image processing approach to improve the quality of brain SPECT images.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"43 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140701594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15342
Naeem Shareef Abdulhusein, M. Deevband, Mohammad Ali Ghodsirad, Marziyeh Behmadi, G. Mehri-Kakavand
Purpose: Given that the Single Photon Emission Computed Tomography (SPECT) image quality is defined experimentally, developing a specialized scanning technique for each procedure is necessary to increase the diagnosis accuracy. This study aims to determine the optimal algorithm for liver scan reconstruction using 99mTc/SPECT. Materials and Methods: The Filtered Back-Projection (FBP) reconstruction method was used in liver scanning using 99mTc-EDDA/HYNIC-TOC (Tektrotyd) for SPECT images of 30 patients which were acquired with a dual-head EvoExel detector system. Using different types of filters in SPECT imaging, various optimal results can be achieved in the processed images, such as artifact reduction, noise reduction, or signal enhancement and recovery. To evaluate the effect of different filters on image quality, Signal-to-Noise-Ratio (SNR), Contrast-to-Noise-Ratio (CNR), and contrast parameters were calculated. Results: Applying filters enhanced contrast in the images in most cases as well as CNR and SNR. Metz (power = 2), Shepp-Logan (Cut-off frequency = 0.67) and Metz (power = 2) filters increase the CNR, contrast and SNR in images more than the other filters, respectively. The maximum improvement for CNR, contrast and SNR was from 0.62 to 2.35, 0.99 to 1.31, and 8.48 to 14.70, respectively. Conclusion: Based on the results, the Hamming filter, due to providing high-quality images for visual analysis of liver SPECT, and the Butterworth filter, due to balancing the image quality and noise for quantitative analysis, are recommended.
{"title":"Assessment of SPECT Image Reconstruction in Liver Scanning Using 99mTc/ EDDA/ HYNIC-TOCAssessment of SPECT Image Reconstruction in Liver Scanning Using 99mTc/ EDDA/ HYNIC-TOC","authors":"Naeem Shareef Abdulhusein, M. Deevband, Mohammad Ali Ghodsirad, Marziyeh Behmadi, G. Mehri-Kakavand","doi":"10.18502/fbt.v11i2.15342","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15342","url":null,"abstract":"Purpose: Given that the Single Photon Emission Computed Tomography (SPECT) image quality is defined experimentally, developing a specialized scanning technique for each procedure is necessary to increase the diagnosis accuracy. This study aims to determine the optimal algorithm for liver scan reconstruction using 99mTc/SPECT. \u0000Materials and Methods: The Filtered Back-Projection (FBP) reconstruction method was used in liver scanning using 99mTc-EDDA/HYNIC-TOC (Tektrotyd) for SPECT images of 30 patients which were acquired with a dual-head EvoExel detector system. Using different types of filters in SPECT imaging, various optimal results can be achieved in the processed images, such as artifact reduction, noise reduction, or signal enhancement and recovery. To evaluate the effect of different filters on image quality, Signal-to-Noise-Ratio (SNR), Contrast-to-Noise-Ratio (CNR), and contrast parameters were calculated. \u0000Results: Applying filters enhanced contrast in the images in most cases as well as CNR and SNR. Metz (power = 2), Shepp-Logan (Cut-off frequency = 0.67) and Metz (power = 2) filters increase the CNR, contrast and SNR in images more than the other filters, respectively. The maximum improvement for CNR, contrast and SNR was from 0.62 to 2.35, 0.99 to 1.31, and 8.48 to 14.70, respectively. \u0000Conclusion: Based on the results, the Hamming filter, due to providing high-quality images for visual analysis of liver SPECT, and the Butterworth filter, due to balancing the image quality and noise for quantitative analysis, are recommended.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"30 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15338
H. Zamanian, Ahmad Shalbaf
Purpose: This study aims to diagnose the severity of important pathological indices, i.e., fibrosis, steatosis, lobular inflammation, and ballooning from the pathological images of the liver tissue based on extracted features by radiomics methods. Materials and Methods: This research uses the pathological images obtained from liver tissue samples for 258 laboratory mice. After preprocessing the images and data augmentation, a collection of texture feature sets extracted by gray-level-based algorithms, including Global, Gray-level Co-Occurrence Matrix (GLCM), Gray-level Run length Matrix (GLRLM), Gray-level Size Zone Matrix (GLSZM), and Neighboring Gray Tone Difference Matrix (NGTDM) algorithms. Then, advanced methods of classification, namely Support Vector Machine (SVM), Random Forest (RF), Quadratic Discriminant Analysis (QDA), K-Nearest Neighbors (KNN), Logistic Regression (LR), Naïve Bayes (NB), and Multi-layer Perceptrons (MLP) are employed. This procedure is provided separately for each of the four indices of fibrosis level in 6 grading classes, steatosis in 5 grading classes, inflammation in 4 grading classes, and ballooning in 3 grading classes. For a comparison of the output of these algorithms, the accuracy value obtained from the evaluation data is presented for the performance of different methods. Results: The results showed that, compared to other methods, the Gaussian SVM algorithm provides a better response to the classification of the grading of liver disease among all the indices from the pathological images due to its structural features. This value of accuracy was calculated at 84.30% for fibrosis, 90.55% for steatosis, 81.11% for inflammation, and 95.98% for ballooning. Conclusion: This fully automatic framework based on advanced radiomics algorithms and machine learning from pathological images can be very useful in clinical procedures and be considered as an assistant or a substitute for pathologists’ diagnoses.
{"title":"Grading the Dominant Pathological Indices in Liver Diseases from Pathological Images Using Radiomics Methods","authors":"H. Zamanian, Ahmad Shalbaf","doi":"10.18502/fbt.v11i2.15338","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15338","url":null,"abstract":"Purpose: This study aims to diagnose the severity of important pathological indices, i.e., fibrosis, steatosis, lobular inflammation, and ballooning from the pathological images of the liver tissue based on extracted features by radiomics methods. \u0000Materials and Methods: This research uses the pathological images obtained from liver tissue samples for 258 laboratory mice. After preprocessing the images and data augmentation, a collection of texture feature sets extracted by gray-level-based algorithms, including Global, Gray-level Co-Occurrence Matrix (GLCM), Gray-level Run length Matrix (GLRLM), Gray-level Size Zone Matrix (GLSZM), and Neighboring Gray Tone Difference Matrix (NGTDM) algorithms. Then, advanced methods of classification, namely Support Vector Machine (SVM), Random Forest (RF), Quadratic Discriminant Analysis (QDA), K-Nearest Neighbors (KNN), Logistic Regression (LR), Naïve Bayes (NB), and Multi-layer Perceptrons (MLP) are employed. This procedure is provided separately for each of the four indices of fibrosis level in 6 grading classes, steatosis in 5 grading classes, inflammation in 4 grading classes, and ballooning in 3 grading classes. For a comparison of the output of these algorithms, the accuracy value obtained from the evaluation data is presented for the performance of different methods. \u0000Results: The results showed that, compared to other methods, the Gaussian SVM algorithm provides a better response to the classification of the grading of liver disease among all the indices from the pathological images due to its structural features. This value of accuracy was calculated at 84.30% for fibrosis, 90.55% for steatosis, 81.11% for inflammation, and 95.98% for ballooning. \u0000Conclusion: This fully automatic framework based on advanced radiomics algorithms and machine learning from pathological images can be very useful in clinical procedures and be considered as an assistant or a substitute for pathologists’ diagnoses.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"74 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140699835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15346
Mohammad Amin Younesi Heravi, Mohammad Keshtkar, Emad Khoshdel, Morteza Pishgadam, Salar Poorbarat, Mahsa Jafarzadeh Hesari
Purpose: Although ionizing radiation is useful in diagnosing various diseases, it can cause potential biological damage such as cancer, cataracts, and fetal damage for patients and staff working in radiology departments. Therefore, knowledge and practice about applying radiation protection principles are essential. This research investigates radiology personnel's knowledge, attitude, and performance regarding radiation protection in the north and northeast of Iran. Materials and Methods: This descriptive-analytical cross-sectional study was conducted using a 30-item questionnaire among 435 radiology personnel in North Khorasan, Razavi Khorasan, Golestan, and Mazandaran provinces. This questionnaire included questions related to demographic information and the level of knowledge, attitude, and performance of radiology personnel regarding radiation protection. Data was also analyzed using SPSS-19 software. Results: The participation rate of radiology personnel was 80.55%, and the mean and standard deviation of their knowledge, attitude, and performance regarding radiation protection were 45.9907 ± 1.294, 78.1531 ± 4.707, and 44.9368 ± 6.88, respectively. Based on the results of the study, there is no significant relationship between gender and knowledge (P = 0.781), attitude (P = 0.156), and performance of personnel (P = 0.87); however, a significant relationship was observed between education degree and attitude of personnel (P = 0.026), between working years and knowledge of personnel (P = 0.019), and also between job title and attitude of personnel (P = 0.003). Conclusion: The results of this study revealed that there is a significant relationship between education degree and attitude of personnel, working years, and knowledge of personnel, and also between job title and attitude of the personnel. According to these results, our population, both personnel and patients have relatively poor performance and poor knowledge about radiation safety principles. Therefore, formal training in the use of ionizing radiation equipment is necessary for radiation safety.
{"title":"Evaluation of the Status of Knowledge, Attitude, and Performance of Radiology Department Staff Regarding Radiation Safety Principles at Hospitals in the North and Northeast of Iran","authors":"Mohammad Amin Younesi Heravi, Mohammad Keshtkar, Emad Khoshdel, Morteza Pishgadam, Salar Poorbarat, Mahsa Jafarzadeh Hesari","doi":"10.18502/fbt.v11i2.15346","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15346","url":null,"abstract":"Purpose: Although ionizing radiation is useful in diagnosing various diseases, it can cause potential biological damage such as cancer, cataracts, and fetal damage for patients and staff working in radiology departments. Therefore, knowledge and practice about applying radiation protection principles are essential. This research investigates radiology personnel's knowledge, attitude, and performance regarding radiation protection in the north and northeast of Iran. \u0000Materials and Methods: This descriptive-analytical cross-sectional study was conducted using a 30-item questionnaire among 435 radiology personnel in North Khorasan, Razavi Khorasan, Golestan, and Mazandaran provinces. This questionnaire included questions related to demographic information and the level of knowledge, attitude, and performance of radiology personnel regarding radiation protection. Data was also analyzed using SPSS-19 software. \u0000Results: The participation rate of radiology personnel was 80.55%, and the mean and standard deviation of their knowledge, attitude, and performance regarding radiation protection were 45.9907 ± 1.294, 78.1531 ± 4.707, and 44.9368 ± 6.88, respectively. Based on the results of the study, there is no significant relationship between gender and knowledge (P = 0.781), attitude (P = 0.156), and performance of personnel (P = 0.87); however, a significant relationship was observed between education degree and attitude of personnel (P = 0.026), between working years and knowledge of personnel (P = 0.019), and also between job title and attitude of personnel (P = 0.003). \u0000Conclusion: The results of this study revealed that there is a significant relationship between education degree and attitude of personnel, working years, and knowledge of personnel, and also between job title and attitude of the personnel. According to these results, our population, both personnel and patients have relatively poor performance and poor knowledge about radiation safety principles. Therefore, formal training in the use of ionizing radiation equipment is necessary for radiation safety.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"40 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-15DOI: 10.18502/fbt.v11i2.15345
Pegah Sanati, Ali Shams, Atefe Rostami, Masoud Shabani, Nima Hamzian
Purpose: Generated free radicals by ionizing radiations, as powerful cytotoxic agents, can damage DNA and proteins. Thymus vulgaris L (thyme) plant is a rich source of antioxidant phenolic compounds, which makes it a preferable candidate for medical applications. Given this, we set out the present study to investigate the effectiveness of thyme essential oil on Human Peripheral Blood Mononuclear Cells (PBMCs) as a radioprotector agent against ionizing radiations. Materials and Methods: We extracted the thyme essential oil by the conventional Clevenger extraction method. Heparinized peripheral blood samples were also collected from five male volunteers, aged 22-25, without a history of smoking and irradiation. PBMCs were isolated and the maximum nontoxic concentrations (85µg/ml (of thyme essential oil were determined based on the result of the MTT method. In the next step, the PBMCs were cultured in the presence of thyme essential oil before and after X-irradiation with doses of 0.25 and 2.00 Gy. Results: The most radioprotective effect was observed in the dose of 2.00 Gy for thyme-treated cells 24 hours before the irradiation (p-value ≤ 0.001) by a survival enhancement factor of 1.67, compared to the control group. Conclusion: Our results showed that thyme essential oil can be used as an effective radioprotector agent for PBMCs against ionizing radiations. The most radioprotective effect was observed in the presence of thyme essential oil during irradiation.
{"title":"Radioprotective Effects of Thymus Vulgaris L. Essential Oil on Human Peripheral Blood Mononuclear Cells","authors":"Pegah Sanati, Ali Shams, Atefe Rostami, Masoud Shabani, Nima Hamzian","doi":"10.18502/fbt.v11i2.15345","DOIUrl":"https://doi.org/10.18502/fbt.v11i2.15345","url":null,"abstract":"Purpose: Generated free radicals by ionizing radiations, as powerful cytotoxic agents, can damage DNA and proteins. Thymus vulgaris L (thyme) plant is a rich source of antioxidant phenolic compounds, which makes it a preferable candidate for medical applications. Given this, we set out the present study to investigate the effectiveness of thyme essential oil on Human Peripheral Blood Mononuclear Cells (PBMCs) as a radioprotector agent against ionizing radiations. \u0000Materials and Methods: We extracted the thyme essential oil by the conventional Clevenger extraction method. Heparinized peripheral blood samples were also collected from five male volunteers, aged 22-25, without a history of smoking and irradiation. PBMCs were isolated and the maximum nontoxic concentrations (85µg/ml (of thyme essential oil were determined based on the result of the MTT method. In the next step, the PBMCs were cultured in the presence of thyme essential oil before and after X-irradiation with doses of 0.25 and 2.00 Gy. \u0000Results: The most radioprotective effect was observed in the dose of 2.00 Gy for thyme-treated cells 24 hours before the irradiation (p-value ≤ 0.001) by a survival enhancement factor of 1.67, compared to the control group. \u0000Conclusion: Our results showed that thyme essential oil can be used as an effective radioprotector agent for PBMCs against ionizing radiations. The most radioprotective effect was observed in the presence of thyme essential oil during irradiation.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"349 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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