Search for: major-clinical-study
Total 59 records
A modified deep convolutional neural network for detecting COVID-19 and pneumonia from chest X-ray images based on the concatenation of Xception and ResNet50V2, Article Informatics in Medicine Unlocked ; Volume 19 , 2020 ; Attar, A ; Sharif University of Technology
Elsevier Ltd 2020
In this paper, we have trained several deep convolutional networks with introduced training techniques for classifying X-ray images into three classes: normal, pneumonia, and COVID-19, based on two open-source datasets. Our data contains 180 X-ray images that belong to persons infected with COVID-19, and we attempted to apply methods to achieve the best possible results. In this research, we introduce some training techniques that help the network learn better when we have an unbalanced dataset (fewer cases of COVID-19 along with more cases from other classes). We also propose a neural network that is a concatenation of the Xception and ResNet50V2 networks. This network achieved the best...
Whole-genome analysis of de novo somatic point mutations reveals novel mutational biomarkers in pancreatic cancer, Article Cancers ; Volume 13, Issue 17 , 2021 ; 20726694 (ISSN) ; Mohseni, A ; Dashti, H ; Beheshti, A ; Dehzangi, A ; Rabiee, H. R ; Alinejad Rokny, H ; Sharif University of Technology
It is now known that at least 10% of samples with pancreatic cancers (PC) contain a causative mutation in the known susceptibility genes, suggesting the importance of identifying cancer-associated genes that carry the causative mutations in high-risk individuals for early detection of PC. In this study, we develop a statistical pipeline using a new concept, called gene-motif, that utilizes both mutated genes and mutational processes to identify 4211 3-nucleotide PC-associated gene-motifs within 203 significantly mutated genes in PC. Using these gene-motifs as distinguishable features for pancreatic cancer subtyping results in identifying five PC subtypes with distinguishable phenotypes and...
Patients' attitudes towards the role of dentists in tobacco cessation counselling after a brief and simple intervention [Attitudes des patients vis-à-vis du rôle des dentistes en matière de conseils dans le sevrage tabagique après une intervention simple et brève], Article Eastern Mediterranean Health Journal ; Vol. 20, issue. 2 , 2014 , p. 82-89 ; Homayoun, A ; Lando, H. A ; Haghpanah, F ; Khoshnevisan, M. H ; Sharif University of Technology
Dental professionals are in a unique position to promote smoking cessation among their patients. We evaluated the effects of a brief counselling intervention by a dentist on patients' attitude towards the role of dentists in tobacco cessation programmes. In a semi-experimental study in Tehran, Islamic Republic of Iran, 70 eligible smokers were selected and randomly assigned to intervention and control groups. The initial attitudes of the patients regarding tobacco cessation counselling services provided by the dentist were determined using a validated questionnaire. The intervention group received a brief chair-side counselling by a dentist based on the 5 A's approach, while no intervention...
Article Autoimmune Diseases ; Volume 2013 , 2013 ; 20900430 (ISSN) ; Mortazavi, H ; Noormohammadpour, P ; Boreiri, M ; Soori, T ; Vasheghani Farahani, I ; Mohit, M ; Sharif University of Technology
Background. Autoimmune process and immunosuppressive therapy of pemphigus vulgaris would predispose the patients to infections. Aim. We aimed to study the prevalence of infection and pathogenic agents in pemphigus vulgaris patients admitted to dermatology service. Material and methods. This retrospective study was conducted on 155 pemphigus vulgaris patients (68 males, 87 females) admitted to dermatology service between 2009 and 2011. In this study, the diagnosis of pemphigus vulgaris was confirmed by light microscopic and direct immunofluorescence findings. Data were collected through a questionnaire. Results. Of 155 pemphigus vulgaris patients, 33 had infection at admission and 9 acquired...
Article Journal of Nanoparticle Research ; Volume 13, Issue 8 , 2011 , Pages 3511-3519 ; 13880764 (ISSN) ; Sadrnezhaad, S. K ; Nejad, N. M ; Mahmoodi, M ; Ibrahimi Ghavam Abadi, L ; Sharif University of Technology
Using survey data, public awareness of and attitudes toward nanotechnology are examined in Iran (N ≥ 759). Iran is a developing country with a national nanotechnology action plan for a ten year period starting from 2003 and has been active in the field of research and development of nanotechnology meanwhile. First, the results show that majority of people are still not familiar with nanotechnology and perceived risks posed by this technology are not considered to be a lot and most people feel its benefits outweigh the risks. The emotions toward this technology are of a hopeful and positive nature and this technology is looked upon favorably in Iran. In particular, our results reveals that...
Diagnosing anterior cruciate ligament injuries using a knee arthrometer: Design, fabrication, and clinical evaluation, Article Biomedical Engineering - Applications, Basis and Communications ; Volume 23, Issue 3 , April , 2011 , Pages 181-192 ; 10162372 (ISSN) ; Sahraei, E ; Shirin, M. B ; Farahmand, F ; Tahmasebi, M. N ; Parnianpour, M ; Sharif University of Technology
Every year many people suffer from knee injuries. Previous studies on patients with knee injuries have shown that about 40% of knee injuries are Ligament injuries, and about 50% of the ligament injuries are the Anterior Cruciate Ligament (ACL) injuries. Along with other methods, knee arthrometers are widely used to diagnose ACL injuries. In the current research, a knee arthrometer was designed and developed to provide a reliable and repeatable measurement of knee laxity under anteriorposterior applied loads. Testretest configurations to examine repeatability of the device resulted in less than 1.5-mm difference for more than 97% of tests under applied loads of up to 90 N. These tests...
Obesity and obesity shape markedly influence spine biomechanics: a subject-specific risk assessment model, Article Annals of Biomedical Engineering ; Volume 45, Issue 10 , 2017 , Pages 2373-2382 ; 00906964 (ISSN) ; Shirazi Adl, A ; Plamondon, A ; Arjmand, N ; Parnianpour, M ; Sharif University of Technology
Underlying mechanisms of obesity-related back pain remain unexplored. Thus, we aim to determine the effect of obesity and its shapes on the spinal loads and the associated risks of injury. Obesity shapes were initially constructed by principal component analysis based on datasets on 5852 obese individuals. Spinal loads, cycles to vertebral failure and trunk stability margin were estimated in a subject-specific trunk model taking account of personalized musculature, passive ligamentous spine, obesity shapes, segmental weights, spine kinematics and bone mineral density. Three obesity shapes (mean and extreme abdominal circumferences) at three body weights (BWs) of 86, 98 and 109 kg were...
Comparison of spinal stability following motor control and general exercises in nonspecific chronic low back pain patients, Article Clinical Biomechanics ; Volume 48 , 2017 , Pages 42-48 ; 02680033 (ISSN) ; Sarrafzadeh, J ; Jamshidi, A ; Arjmand, N ; Ghezelbash, F ; Sharif University of Technology
Background Motor control exercise was claimed to improve spinal stability in patients with chronic non-specific back pain, but to investigate the effectiveness of this exercise, other outcome measures have been used rather than spinal stability itself. The aim of our study is to assess motor control exercise effects on spinal stability using a biomechanical model. Methods Fifty-one patients were assigned to either motor control or general exercises. Before and after trainings, participants were tested for spinal stability at seven isometric tasks. Electromyography signals were recorded from ten superficial muscles, and a hybrid EMG-driven musculoskeletal model estimated spinal stability...
The global, regional, and national burden of pancreatic cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017, Article The Lancet Gastroenterology and Hepatology ; Volume 4, Issue 12 , 2019 , Pages 934-947 ; 24681253 (ISSN) ; Sepanlou, S. G ; Ikuta, K. S ; Bisignano, C ; Safiri, S ; Roshandel, G ; Sharif, M ; Khatibian, M ; Fitzmaurice, C ; Nixon, M. R ; Abbasi, N ; Afarideh, M ; Ahmadian, E ; Akinyemiju, T ; Alahdab, F ; Alam, T ; Alipour, V ; Allen, C. A ; Anber, N. H ; Ansari Moghaddam, A ; Arabloo, J ; Badawi, A ; Bagherzadeh, M ; Belayneh, Y. M ; Biadgo, B ; Bijani, A ; Biondi, A ; Bjørge, T ; Borzì, A. M ; Bosetti, C ; Briko, A. N ; Briko, N. I ; Carreras, G ; Carvalho, F ; Choi, J. Y .J ; Chu, D. T ; Dang, A. K ; Daryani, A ; Davitoiu, D.V ; Demoz, G. T ; Desai, R ; Dey, S ; Do, H. T ; Do, H. P ; Eftekhari, A ; Esteghamati, A ; Farzadfar, F ; Fernandes, E ; Filip, I ; Fischer, F ; Foroutan, M ; Gad, M. M ; Gallus, S ; Geta, B ; Gorini, G ; Hafezi Nejad, N ; Harvey, J. D ; Hasankhani, M ; Hasanzadeh, A ; Hassanipour, S ; Hay, S. I ; Hidru, H. D ; Hoang, C. L ; Hostiuc, S ; Househ, M ; Ilesanmi, O. S ; Ilic, M. D ; Irvani, S. S. N ; Balalami, N. J ; James, S. L ; Joukar, F ; Kasaeian, A ; Kassa, T. D ; Kengne, A. P ; Khalilov, R ; Khan, E. A ; Khater, A ; Shadmani, F. K ; Kocarnik, J. M ; Komaki, H ; Koyanagi, A ; Kumar, V ; La Vecchia, C ; Lopukhov, P. D ; Manafi, F ; Manafi, N ; Manda, A. L ; Mansour Ghanaei, F ; Mehta, D ; Mehta, V ; Meier, T ; Meles, H. G ; Mengistu, G ; Miazgowski, T ; Mohamadnejad, M ; Mohammadian Hafshejani, A ; Mohammadoo Khorasani, M ; Mohammed, S ; Mohebi, F ; Mokdad, A. H ; Monasta, L ; Moossavi, M ; Moradzadeh, R ; Naik, G ; Negoi, I ; Nguyen, C. T ; Nguyen, L. H ; Nguyen, T. H ; Olagunju, A. T ; Olagunju, T. O ; Pennini, A ; Rabiee, M ; Rabiee, N ; Radfar, A ; Rahimi, M ; Rath, G.K ; Rawaf, D. L ; Rawaf, S ; Reiner, R. C ; Rezaei, N ; Rezapour, A ; Saad, A. M ; Saadatagah, S ; Sahebkar, A ; Salimzadeh, H ; Samy, A. M ; Sanabria, J ; Sarveazad, A ; Sawhney, M ; Sekerija, M ; Shabalkin, P ; Shaikh, M. A ; Sharma, R ; Sheikhbahaei, S ; Shirkoohi, R ; Siddappa Malleshappa, S. K ; Sisay, M ; Soreide, K ; Soshnikov, S ; Sotoudehmanesh, R ; Starodubov, V. I ; Subart, M. L ; Tabares Seisdedos, R ; Tadesse, D. B. B ; Traini, E ; Tran, B. X ; Tran, K. B ; Ullah, I ; Vacante, M ; Vahedian Azimi, A ; Varavikova, E ; Westerman, R ; Wondafrash, D. Z ; Xu, R ; Yonemoto, N ; Zadnik, V ; Zhang, Z. J ; Malekzadeh, R ; Naghavi, M ; GBD 2017 Pancreatic Cancer Collaborators ; Sharif University of Technology
Elsevier Ltd 2019
Background: Worldwide, both the incidence and death rates of pancreatic cancer are increasing. Evaluation of pancreatic cancer burden and its global, regional, and national patterns is crucial to policy making and better resource allocation for controlling pancreatic cancer risk factors, developing early detection methods, and providing faster and more effective treatments. Methods: Vital registration, vital registration sample, and cancer registry data were used to generate mortality, incidence, and disability-adjusted life-years (DALYs) estimates. We used the comparative risk assessment framework to estimate the proportion of deaths attributable to risk factors for pancreatic cancer:...
Application of artificial neural network for prediction of risk of multiple sclerosis based on single nucleotide polymorphism genotypes, Article Journal of Molecular Neuroscience ; Volume 70, Issue 7 , 2020 , Pages 1081-1087 ; Taheri, M ; Omrani, M. D ; Daaee, A ; Mohammad Rahimi, H ; Sharif University of Technology
Humana Press Inc 2020
The artificial neural network (ANN) is a sort of machine learning method which has been used in determination of risk of human disorders. In the current investigation, we have created an ANN and trained it based on the genetic data of 401 multiple sclerosis (MS) patients and 390 healthy subjects. Single nucleotide polymorphisms (SNPs) within ANRIL (rs1333045, rs1333048, rs4977574 and rs10757278), EVI5 (rs6680578, rs10735781 and rs11810217), ACE (rs4359 and rs1799752), MALAT1 (rs619586 and rs3200401), GAS5 (rs2067079 and rs6790), H19 (rs2839698 and rs217727), NINJ2 (rs11833579 and rs3809263), GRM7 (rs6782011 and rs779867), VLA4 (rs1143676), CBLB (rs12487066) and VEGFA (rs3025039 and...
Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017, Article Nature Medicine ; Volume 26, Issue 5 , August , 2020 , Pages 750-759 ; Ross, J. M ; Lazzar Atwood, A ; Munro, S. B ; Schaeffer, L. E ; Abbasalizad Farhangi, M ; Abbasi, M ; Abbastabar, H ; Abdelalim, A ; Abdoli, A ; Abdollahi, M ; Abdollahpour, I ; Abdulkader, R. S ; Abebe, N. D ; Abebo, T. A ; Abegaz, K. H ; Abolhassani, H ; Abreu, L.G ; Abrigo, M.R.M ; Abushouk, A.I ; Accrombessi, M.M.K ; Acharya, D ; Adabi, M ; Adebiyi, A.O ; Adedeji, I.A ; Adekanmbi, V ; Adeoye, A.M ; Adetokunboh, O.O ; Adham, D ; Aduroja, P.E ; Advani, S.M ; Afarideh, M ; Aghaali, M ; Agrawal, A ; Ahmad, T ; Ahmadi, K ; Ahmadi, S ; Ahmed, M.B ; Ahmed, R ; Ajumobi, O ; Akal, C.G ; Akalu, T.Y ; Akinyemiju, T ; Akombi, B ; Al-Aly, Z ; Alam, S ; Alamene, G.M ; Alanzi, T.M ; Rabanal, J.E.A ; Alema, N.M ; Ali, B.A ; Ali, M ; Alijanzadeh, M ; Alinia, C ; Alipour, V ; Alizade, H ; Aljunid, S.M ; Almasi, A ; Almasi-Hashiani, A ; Al-Mekhlafi, H.M ; Al-Raddadi, R.M ; Altirkawi, K ; Alvis-Guzman, N ; Alvis-Zakzuk, N.J ; Amare, A.T ; Amegah, A.K ; Amini, S ; Rarani, M.A ; Amiri, F ; Amit, A.M.L ; Anber, N.H ; Andrei, C.L ; Ansari, F ; Ansari-Moghaddam, A ; Anteneh, Z.A ; Antonio, C.A.T ; Antriyandarti, E ; Anvari, D ; Anwer, R ; Appiah, S.C.Y ; Arabloo, J ; Arab-Zozani, M ; Araya, E.M ; Arefi, Z ; Aremu, O ; Ärnlöv, J ; Arzani, A ; Asadi-Aliabadi, M ; Asadi-Pooya, A.A ; Asgari, S ; Asghari, B ; Ashagre, A.F ; Asrat, A.A ; Ataeinia, B ; Atalay, H.T ; Atnafu, D.D ; Atout, M.M.W ; Ausloos, M ; Avokpaho, E.F.G.A ; Awasthi, A ; Quintanilla, B.P.A ; Ayanore, M.A ; Aynalem, Y.A.A ; Azadmehr, A ; Azari, S ; Azarian, G ; Azene, Z.N ; Babaee, E ; Badawi, A ; Badiye, A.D ; Bahrami, M.A ; Baig, A.A.A ; Bakhtiari, A ; Bakkannavar, S.M ; Balakrishnan, S ; Bali, A.G ; Banach, M ; Banik, P.C ; Baradaran-Seyed, Z ; Baraki, A.G ; Barboza, M.A ; Bärnighausen, T.W ; Barua, L ; Basaleem, H ; Basu, S ; Bayati, M ; Bayih, M.T ; Baynes, H.W ; Bedi, N ; Behzadifar, M ; Behzadifar, M ; Bekele, Y.A ; Bennett, D.A ; Berbada, D.A ; Berhe, K ; Berhe, A.K ; Berman, A.E ; Bernstein, R.S ; Bhageerathy, R ; Bhandari, D ; Bharadwaj, P ; Bhattacharjee, N.V ; Bhattacharyya, K ; Bijani, A ; Bikbov, B ; Bilano, V ; Bililign, N ; Sayeed, M.S.B ; Birara, S ; Birhane, M.B.B ; Birhanu, M ; Biswas, R.K ; Bitew, Z.W ; Bogale, K.A ; Bohlouli, S ; Bolla, S.R ; Boloor, A ; Borzì, A.M ; Borzouei, S ; Brady, O.J ; Bragazzi, N.L ; Braithwaite, D ; Briko, N.I ; Britton, G ; Budhathoki, S.S ; Nagaraja, S.B ; Busse, R ; Butt, Z.A ; Cahuana-Hurtado, L ; Cámera, L.A ; Campos-Nonato, I.R ; Cano, J ; Car, J ; Cárdenas, R ; Carrero, J.J ; Carvalho, F ; Castaldelli-Maia, J.M ; Castañeda-Orjuela, C.A ; Castro, F ; Cerin, E ; Chansa, C ; Charan, J ; Chatterjee, P ; Chattu, V.K ; Chauhan, B.G ; Chavshin, A.R ; Chehrazi, M ; Chichiabellu, T.Y ; Chin, K.L ; Christopher, D.J ; Chu, D.-T ; Cicuttini, F.M ; Collison, M.L ; Cork, M.A ; Cormier, N ; Cortesi, P.A ; Costa, V.M ; Dadi, A.F.F ; Dagnew, B ; Dahlawi, S.M.A ; Damiani, G ; Darwish, A.H ; Daryani, A ; Das, J.K ; Gupta, R.D ; Dávila-Cervantes, C ; Davis Weaver, N ; Leo, D.D ; Neve, J.-W.D ; Demeke, F.M ; Demis, A.B ; Demissie, D.B ; Demoz, G.T ; Denova-Gutiérrez, E ; Deribe, K ; Desai, R ; Desalegn, B.B ; Desalew, A ; Deshpande, A ; Dey, S ; Dharmaratne, S.D ; Dhillon, P ; Dhimal, M ; Dhungana, G.P ; Nasab, M.D ; Diaz, D ; Forooshani, Z.S.D ; Dinsa, G.D ; Dipeolu, I.O ; Djalalinia, S ; Do, H.T ; Do, H.P ; Doku, P.N ; Dorostkar, F ; Doshmangir, L ; Dubey, M ; Adema, B.D ; Dunachie, S.J ; Duncan, B.B ; Durães, A.R ; Earl, L ; Leylabadlo, H.E ; Eftekhari, A ; El Sayed, I ; El Sayed Zaki, M ; El Tantawi, M ; Elbarazi, I ; Elemineh, D.A ; El-Jaafary, S.I ; El-Khatib, Z ; Elsharkawy, A ; El-Sherbiny, Y.M ; Elyazar, I.R.F ; Emamian, M.H ; Enany, S ; Endalew, D.A ; Endalifer, M.L ; Eskandari, K ; Eskandarieh, S ; Esmaeilnejad, S ; Esteghamati, A ; Etemadi, A ; Etisso, A.E ; Fanzo, J ; Farahmand, M ; Faraj, A ; Farashi, S ; Fareed, M ; Farioli, A ; Faro, A ; Farzadfar, F ; Farzam, H ; Fatima, S.S ; Fattahi, N ; Fauk, N.K ; Fazaeli, A.A ; Fentahun, N ; Ferede, T.Y ; Fereshtehnejad, S.-M ; Fernandes, E ; Fernandes, J.C ; Feyissa, G.T ; Filip, I ; Fischer, F ; Flohr, C ; Foigt, N.A ; Folayan, M.O ; Fomenkov, A.A ; Foroutan, M ; Förster, J ; Francis, J.M ; Fukumoto, T ; Gayesa, R.T ; Geberemariyam, B.S ; Gebrehiwot, T.T ; Gebremariam, H ; Gebremariam, K.T ; Gebremedhin, K.B.B ; Gebremeskel, G.G ; Gebreslassie, A.A.A ; Gebretsadik, G.G.G ; Gedefaw, G.A ; Geramo, Y.C.D ; Gesesew, H.A ; Geta, B ; Getenet, A.B ; Gezae, K.E ; Ghaffarifar, F ; Ghafourifard, M ; Ghajar, A ; Ghajarzadeh, M ; Ghashghaee, A ; Ghiasvand, H ; Gholamian, A ; Gilani, S.A ; Gill, T.K ; Ginawi, I.A ; Goli, S ; Gomes, N.G.M ; Gopalani, S.V ; Goudarzi, H ; Goulart, A.C ; Govindakarnavar, A ; Grada, A ; Grivna, M ; Guimarães, R.A ; Guled, R.A ; Guo, Y ; Gupta, R ; Gupta, R ; Hafezi-Nejad, N ; Haile, M.T ; Haj-Mirzaian, A ; Haj-Mirzaian, A ; Hall, B.J ; Halvaei, I ; Hamadeh, R.R ; Hamidi, Y ; Handiso, D.W ; Hankey, G.J ; Haririan, H ; Hariyani, N ; Hasaballah, A.I ; Hasan, M.M ; Hasankhani, M ; Hasanpoor, E ; Hasanzadeh, A ; Hashemian, M ; Hassanipour, S ; Hassen, H.Y ; Havmoeller, R ; Hawkes, C ; Hayat, K ; Hayelom, D.H ; Heidari, B ; Heidari-Soureshjani, R ; Hendrie, D ; Henok, A ; Henry, N.J ; Herrero, M ; Herteliu, C ; Heydarpour, F ; de Hidru, H.D ; Hoang, C.L ; Hoek, H.W ; Hole, M.K ; Holla, R ; Hollerich, G ; Rad, E.H ; Hong, S.H ; Hoogar, P ; Horino, M ; Hossain, N ; Hosseini, M ; Hosseinzadeh, M ; Hostiuc, M ; Hostiuc, S ; Househ, M ; Hsairi, M ; Hu, G ; Huda, T.M ; Humayun, A ; Hwang, B.-F ; Ibitoye, S.E ; Ilesanmi, O.S ; Ilic, M.D ; Imani-Nasab, M.H ; Inbaraj, L.R ; Iqbal, U ; Irvani, S.S.N ; Islam, S.M.S ; Iwu, C.C.D ; Iwu, C.J ; Izadi, N ; Jaafari, J ; Jaca, A ; Jadidi-Niaragh, F ; Balalami, N.J ; Jafarinia, M ; Jahani, M.A ; Sharif University of Technology
Nature Research 2020
A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5)...
Article Frontiers in Neuroscience ; Volume 13 , 2020 ; Akhondzadeh, M ; Salari, S ; Zomorodi Moghadam, M ; Abdar, M ; Acharya, U. R ; Khosrowabadi, R ; Salari, V ; Sharif University of Technology
Frontiers Media S.A 2020
Background: Convolutional neural networks (CNN) have enabled significant progress in speech recognition, image classification, automotive software engineering, and neuroscience. This impressive progress is largely due to a combination of algorithmic breakthroughs, computation resource improvements, and access to a large amount of data. Method: In this paper, we focus on the automated detection of autism spectrum disorder (ASD) using CNN with a brain imaging dataset. We detected ASD patients using most common resting-state functional magnetic resonance imaging (fMRI) data from a multi-site dataset named the Autism Brain Imaging Exchange (ABIDE). The proposed approach was able to classify ASD...
Article Physiological Measurement ; Volume 29, Issue 5 , 2008 , Pages 625-637 ; 09673334 (ISSN) ; Jaafar, R ; Mohd Ali, M. A ; Mohamed, A. L ; Maskon, O ; Sharif University of Technology
This study was conducted to investigate the utility and efficacy of finger photoplethysmogram pulse amplitude (PPG-AC) in comparison with the standard Doppler ultrasound in assessing an endothelial function via flow-mediated dilation (FMD). High-resolution B-mode scanning of the right brachial artery (BA) of 31 healthy subjects aged 39.7 ± 11.3 (range 22-64) years and 52 risk subjects aged 47.7 ± 10.8 (range 30-65) years were performed before and after 4 min of upper arm occlusion. Concurrent with the ultrasound measurement (where color Doppler imaging was used to enhance arterial boundary detection), PPG signals were recorded from both index fingers for cross evaluation and comparison. Our...
Translation and validation study of the Iranian versions of the neck disability index and the neck pain and disability scale, Article Spine ; Volume 32, Issue 26 , 2007 , Pages E825-E831 ; 03622436 (ISSN) ; Parnianpour, M ; Montazeri, A ; Mehdian, H ; Karimi, A ; Abedi, M ; Askary Ashtiani, A ; Mobini, B ; Hadian, M. R ; Sharif University of Technology
STUDY DESIGN. Cultural translation and psychometric testing. OBJECTIVE. To translate and validate the Iranian versions of the Neck Disability Index (NDI-IR) and the Neck Pain and Disability Scale (NPDS-IR). SUMMARY OF BACKGROUND DATA. The widely used the NDI and the NPDS scales have not been translated and validated for Persian-speaking patients with neck pain. This was to provide a validated instrument to measure functional status in patients with neck pain in Iran. METHODS. The translation and cultural adaptation of the original questionnaires were carried out in accordance with the published guidelines. One hundred and eighty-five patients with neck pain were participated in the study....
Article Spine ; Volume 32, Issue 3 , 2007 , Pages E100-E104 ; 03622436 (ISSN) ; Parnianpour, M ; Vleeming, A ; Sharif University of Technology
STUDY DESIGN. A cross-sectional study in pregnancy. OBJECTIVES. To differentiate between pregnancy related pelvic girdle pain (PGP) and low back pain (LBP) in Iranian women, and investigate the prevalence of each syndrome. SUMMARY OF BACKGROUND DATA. Most of the information about PGP and LBP has been obtained in Western countries. There are few studies to investigate pregnancy related lumbopelvic pain, and, especially, differentiate between PGP and LBP in non-Western countries, particularly in the Middle East. METHODS. This study included 325 pregnant women, ranging in age from 16 to 42 years. All pregnant women were interviewed using a questionnaire. Two trained physical therapists...
The Oswestry Disability Index, the Roland-Morris Disability Questionnaire, and the Quebec Back Pain Disability Scale: Translation and validation studies of the Iranian versions, Article Spine ; Volume 31, Issue 14 , 2006 , Pages E454-E459 ; 03622436 (ISSN) ; Parnianpour, M ; Mehdian, H ; Montazeri, A ; Mobini, B ; Sharif University of Technology
STUDY DESIGN. Cross-cultural translation and psychometric testing were performed. OBJECTIVES. To cross-culturally translate the Oswestry Disability Index (ODI), Roland-Morris Disability Questionnaire (RDQ), and Quebec Back Pain Disability Scale (QDS) into Persian, and then investigate the psychometric properties of the Persian versions produced. SUMMARY OF BACKGROUND DATA. To the authors' knowledge, there is no validated instrument to measure functional status in Persian-speaking patients with low back pain (LBP) in Iran. To our knowledge, the widely used back-specific measures, the ODI, RDQ, and QDS, have not been translated and validated for Persian-speaking patients with LBP. METHODS. The...
How resiliency and hope can predict stress of covid-19 by mediating role of spiritual well-being based on machine learning, Article Musculoskeletal Science and Practice ; Volume 51 , 2021 ; 24688630 (ISSN) ; Kahrizi, S ; Fesharaki, M. G ; Heidarian, M ; Neblett, R ; Behzadipour, S ; Sharif University of Technology
Elsevier Ltd 2021
Background: The Central Sensitization Inventory (CSI) is a patient-reported tool to assess symptoms associated with central sensitization (CS). It consists of two parts: Part A assesses 25 somatic and emotional CS-related health symptoms, and part B asks if one has previously been diagnosed with a list of 10 Central Sensitivity Syndromes and related conditions. Objectives: The aim of this study was to translate and cross-culturally adapt the CSI into Persian and to evaluate its psychometric properties. Design: Cross-sectional study. Method: After completing the Persian translation, the psychometric properties of the Persian CSI (CSI-Per) were evaluated in 256 patients with chronic pain and...
Artificial neural network for predicting the safe temporary artery occlusion time in intracranial aneurysmal surgery, Article Journal of Clinical Medicine ; Volume 10, Issue 7 , 2021 ; 20770383 (ISSN) ; Ghodsi, S. M ; Zangeneh Soroush, M ; Ansari, S ; Kamali Ardakani, S ; Sharif University of Technology
Background. Temporary artery clipping facilitates safe cerebral aneurysm management, besides a risk for cerebral ischemia. We developed an artificial neural network (ANN) to predict the safe clipping time of temporary artery occlusion (TAO) during intracranial aneurysm surgery. Method. We devised a three-layer model to predict the safe clipping time for TAO. We considered age, the diameter of the right and left middle cerebral arteries (MCAs), the diameter of the right and left A1 segment of anterior cerebral arteries (ACAs), the diameter of the anterior communicating artery, mean velocity of flow at the right and left MCAs, and the mean velocity of flow at the right and left ACAs, as well...
Article Clinical Medicine Insights: Oncology ; Volume 15 , 2021 ; 11795549 (ISSN) ; Alshammari, F. O. F. O ; Youssef, A. M. M ; Al Sarayreh, S ; Al Sarayra, Y. M ; Aborajooh, E ; Al Shuneigat, J ; Alrawashdeh, H. M ; Sharif University of Technology
SAGE Publications Ltd 2021
Background: The development of colon cancer has been described as a multistep process of carcinogenesis. Understanding molecular and cellular changes underlying this process is required to determine potential biomarkers and therapeutic targets in colon cancers. Several molecular entities, including glypicans, are implicated in cancer development. Among these is glypican-6, which is overexpressed in a limited number of cancers. This study aims to characterise the glypican-6 expression in different types of colon cancer. Methods: Immunohistochemistry was used to characterise glypican-6 expression in a panel of archived formalin-fixed, paraffin-embedded colon tissue types. These types included...
External parameter orthogonalization-support vector machine for processing of attenuated total reflectance-mid-infrared spectra: A solution for saffron authenticity problem, Article Analytica Chimica Acta ; Volume 1154 , 2021 ; 00032670 (ISSN) ; Parastar, H ; Sharif University of Technology
Elsevier B.V 2021
In the present work, a new approach based on external parameter orthogonalization combined with support vector machine (EPO-SVM) is proposed for processing of attenuated total reflectance-Fourier transform mid-infrared (ATR-FT-MIR) spectra with the goal of solving authentication problem in saffron, the most expensive spice in the world. First, one-hundred authentic saffron samples are clustered by principal component analysis (PCA) with EPO as the best preprocessing strategy. Then, EPO-SVM is used for the detection of four commonly used plant-derived adulterants (i.e. safflower, calendula, rubia, and style) in binary mixtures (saffron and each of plant adulterants) and its performance is...