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    Can lumbosacral orthoses cause trunk muscle weakness? A systematic review of literature

    , Article Spine Journal ; Volume 17, Issue 4 , 2017 , Pages 589-602 ; 15299430 (ISSN) Azadinia, F ; Ebrahimi Takamjani, E ; Kamyab, M ; Parnianpour, M ; Cholewicki, J ; Maroufi, N ; Sharif University of Technology
    Elsevier Inc  2017
    Abstract
    Background Wearing lumbosacral orthosis (LSO) is one of the most common treatments prescribed for conservative management of low back pain. Although the results of randomized controlled trials suggest effectiveness of LSO in reducing pain and disability in these patients, there is a concern that prolonged use of LSO may lead to trunk muscle weakness and atrophy. Purpose The present review aimed to evaluate available evidence in literature to determine whether LSO results in trunk muscle weakness or atrophy. Study Design This is a systematic review. Methods A systematic search of electronic databases including PubMed, Scopus, ScienceDirect, and Medline (via Ovid) followed by hand search of... 

    Cancer cell enrichment on a centrifugal microfluidic platform using hydrodynamic and magnetophoretic techniques

    , Article Scientific Reports ; Volume 11, Issue 1 , 2021 ; 20452322 (ISSN) Shamloo, A ; Naghdloo, A ; Besanjideh, M ; Sharif University of Technology
    Nature Research  2021
    Abstract
    Isolation of rare cancer cells is one of the important and valuable stages of cancer research. Regarding the rarity of cancer cells in blood samples, it is important to invent an efficient separation device for cell enrichment. In this study, two centrifugal microfluidic devices were designed and fabricated for the isolation of rare cancer cells. The first design (passive plan) employs a contraction–expansion array (CEA) microchannel which is connected to a bifurcation region. This device is able to isolate the target cells through inertial effects and bifurcation law. The second design (hybrid plan) also utilizes a CEA microchannel, but instead of using the bifurcation region, it is... 

    Biomechanical effects of lumbar fusion surgery on adjacent segments using musculoskeletal models of the intact, degenerated and fused spine

    , Article Scientific Reports ; Volume 11, Issue 1 , 2021 ; 20452322 (ISSN) Ebrahimkhani, M ; Arjmand, N ; Shirazi Adl, A ; Sharif University of Technology
    Nature Research  2021
    Abstract
    Adjacent segment disorders are prevalent in patients following a spinal fusion surgery. Postoperative alterations in the adjacent segment biomechanics play a role in the etiology of these conditions. While experimental approaches fail to directly quantify spinal loads, previous modeling studies have numerous shortcomings when simulating the complex structures of the spine and the pre/postoperative mechanobiology of the patient. The biomechanical effects of the L4–L5 fusion surgery on muscle forces and adjacent segment kinetics (compression, shear, and moment) were investigated using a validated musculoskeletal model. The model was driven by in vivo kinematics for both preoperative (intact or... 

    An implementation of a CBIR system based on SVM learning scheme

    , Article Journal of Medical Engineering and Technology ; Volume 37, Issue 1 , 2013 , Pages 43-47 ; 03091902 (ISSN) Tarjoman, M ; Fatemizadeh, E ; Badie, K ; Sharif University of Technology
    2013
    Abstract
    Content-based image retrieval (CBIR) has been one of the most active areas of research. The retrieval principle of CBIR systems is based on visual features such as colour, texture and shape or the semantic meaning of the images. A CBIR system can be used to locate medical images in large databases. This paper presents a CBIR system for retrieving digital human brain magnetic resonance images (MRI) based on textural features and the support vector machine (SVM) learning method. This system can retrieve similar images from the database in two groups: normal and tumoural. This research uses the knowledge of the CBIR approach to the application of medical decision support and discrimination... 

    Anemia prevalence in women of reproductive age in low- and middle-income countries between 2000 and 2018

    , Article Nature Medicine ; Volume 27, Issue 10 , 2021 , Pages 1761-1782 ; 10788956 (ISSN) Kinyoki, D ; Osgood-Zimmerman, A.E ; Bhattacharjee, N.V ; Schaeffer, L.E ; Lazzar-Atwood, A ; Lu, D ; Ewald, S.B ; Donkers, K.M ; Letourneau, I.D ; Collison, M ; Schipp, M.F ; Abajobir, A ; Abbasi, S ; Abbasi, N ; Abbasifard, M ; Abbasi-Kangevari, M ; Abbastabar, H ; Abd-Allah, F ; Abdelalim, A ; Abd-Elsalam, S.M ; Abdoli, A ; Abdollahpour, I ; Abedi, A ; Abolhassani, H ; Abraham, B ; Abreu, L.G ; Abrigo, M.R.M ; Abualhasan, A ; Abu-Gharbieh, E ; Abushouk, A.I ; Accrombessi, M.M.K ; Adabi, M ; Adebayo, O.M ; Adegbosin, A.E ; Adekanmbi, V ; Adetokunboh, O.O ; Adeyinka, D.A ; Adham, D ; Advani, S.M ; Agasthi, P ; Aghaali, M ; Ahmad, S ; Ahmad, T ; Ahmadi, K ; Ahmadi, S ; Ahmed, M.B ; Aichour, M.T.E ; Aji, B ; Akinyemi, O.O ; Aklilu, A ; Akunna, C.J ; Al-Aly, Z ; Alanzi, T.M ; Alcalde-Rabanal, J.E ; Alemu, B.W ; Alemu, A ; Alhassan, R.K ; Alif, S.M ; Alipour, V ; Alizade, H ; Aljunid, S.M ; Almasi-Hashiani, A ; Al-Mekhlafi, H.M ; Al-Raddadi, R.M ; Alvis-Guzman, N ; Amini, S ; Amiri, F ; Amugsi, D.A ; Anber, N.H ; Ancuceanu, R ; Andrei, T ; Anegago, M.T ; Anjomshoa, M ; Ansari, F ; Ansari-Moghaddam, A ; Anteneh, Z.A ; Antriyandarti, E ; Anvari, D ; Anwer, R ; Aqeel, M ; Arabloo, J ; Arab-Zozani, M ; Aremu, O ; Areri, H.A ; Artaman, A ; Arzani, A ; Asaad, M ; Asadi-Aliabadi, M ; Asadi-Pooya, A.A ; Asemahagn, M.A ; Asghari Jafarabadi, M ; Ashebir, M.M ; Ataro, Z ; Athari, S.M ; Athari, S.S ; Atout, M.M.W ; Ausloos, M ; Awoke, N ; Ayala Quintanilla, B.P ; Ayano, G ; Ayanore, M.A ; Aynalem, Y.A ; Ayza, M.A ; Azadmehr, A ; B, D ; Babalola, T.K ; Badawi, A ; Badiye, A.D ; Bahrami, M.A ; Bairwa, M ; Bakkannavar, S.M ; Banik, P.C ; Baraki, A.G ; Barboza, M.A ; Basaleem, H ; Basu, S ; Bayati, M ; Baye, B.A ; Bazmandegan, G ; Bedi, N ; Bekuma, T.T.T ; Bell, M. L ; Bensenor, I. M ; Berhe, K ; Berhe, A. K ; Berhie, K. A ; Bhandari, D ; Bhardwaj, N ; Bhardwaj, P ; Bhattacharyya, K ; Bhattarai, S ; Bhutta, Z. A ; Bijani, A ; Bikbov, B ; Biondi, A ; Birhanu, M ; Biswas, R. K ; Bockarie, M. J ; Bohlouli, S ; Bohluli, M ; Boloor, A ; Borzouei, S ; Bragazzi, N. L ; Braithwaite, D ; Brunoni, A. R ; Burugina Nagaraja, S ; Butt, Z. A ; Caetano dos Santos, F. L ; Cámera, L. A ; Car, J ; Cárdenas, R ; Carvalho, F ; Castaldelli-Maia, J.M ; Castañeda-Orjuela, C.A ; Castro, F ; Cevik, M ; Chanie, W.F ; Charan, J ; Chatterjee, S ; Chattu, V.K ; Chaturvedi, S ; Chen, S ; Chin, K.L ; Chowdhury, M.A.K ; Cook, A.J ; Costa, V.M ; Cromwell, E.A ; Dachew, B.A ; Dagne, H ; Dagnew, B ; Dahiru, T ; Dahlawi, S. M. A ; Dai, H ; Dai, H ; Dandona, L ; Dandona, R ; Daneshpajouhnejad, P ; Daoud, F ; Das, J.K ; Das Gupta, R ; Dash, A.P ; Dávila-Cervantes, C. A ; Davletov, K ; Deeba, F ; De Neve, J. W ; Denova Gutiérrez, E ; Deribe, K ; Desalew, A ; Dessie, G. A ; Dey, S ; Dhimal, M ; Dhungana, G. P ; Dianatinasab, M ; Diaz, D ; Dipeolu, I. O ; Djalalinia, S ; Do, H. T ; Dorostkar, F ; Doshmangir, L ; Duko, B ; Duraes, A. R ; Earl, L ; Edinur, H. A ; Efendi, F ; Elayedath, R ; Elema, T. B ; Elhabashy, H. R ; El-Jaafary, S. I ; El Sayed, I ; El Sayed Zaki, M ; Elsharkawy, A ; El-Sherbiny, Y. M ; El Tantawi, M ; Endalew, D. A ; Eshrati, B ; Eskandari, K ; Eskandarieh, S ; Fadhil, I ; Faraon, E. J. A ; Fareed, M ; Faris, P. S ; Farwati, M ; Farzadfar, F ; Fasanmi, A. O ; Fattahi, N ; Fauk, N. K ; Feigin, V. L ; Feleke, B. E ; Fereshtehnejad, S. M ; Fernandes, E ; Ferrara, P ; Foigt, N. A ; Fomenkov, A. A ; Foroutan, M ; Francis, J. M ; Franklin, R. C ; Freitas, M ; Fukumoto, T ; Gad, M. M ; Gaidhane, A. M ; Gayesa, R. T ; Geberemariyam, B. S ; Gebregiorgis, B. G ; Gebremariam, H ; Gebremariam, T. B. B ; Gebremeskel, L ; Gebremeskel, G. G ; Gebreslassie, A. A ; Geramo, Y. C. D ; Gesesew, H. A ; Gessner, B. D ; Getacher, L ; Ghadiri, K ; Ghaffarifar, F ; Ghafourifard, M ; Ghajarzadeh, M ; Ghamari, F ; Ghashghaee, A ; Ghith, N ; Gilani, S. A ; Gill, T. K ; Godinho, M. A ; Gona, P. N ; Grada, A ; Gubari, M. I. M ; Gudi, N ; Guido, D ; Guled, R. A ; Guo, Y ; Gupta, R ; Gupta, R ; Haj Mirzaian, A ; Hamadeh, R. R ; Handiso, D. W ; Hanif, A ; Hargono, A ; Hasaballah, A. I ; Hasan, M. M ; Hasan, S. S ; Hashemian, M ; Hashi, A ; Hassan, S ; Hassan, A ; Hassanipour, S ; Hassankhani, H ; Hayat, K ; Hegazy, M. I ; Heidari Soureshjani, R ; Henry, N. J ; Herteliu, C ; Heydarpour, F ; Heydarpour, S ; Hidru, H. D ; Hoang, C. L ; Holla, R ; Hon, J ; Hong, S. H ; Hoogar, P ; Hosseini, S. N ; Hosseinzadeh, M ; Hostiuc, M ; Hostiuc, S ; Hotez, P. J ; Househ, M ; Huda, T. M ; Huluko, D. H. H ; Hussain, S. A ; Hwang, B. F ; Ilesanmi, O. S ; Ilic, I. M ; Ilic, M. D ; Inbaraj, L.R ; Iqbal, U ; Islam, M.M ; Islam, S.M.S ; Iwu, C.J ; Iwu, C.C.D ; Jadidi-Niaragh, F ; Jahani, M.A ; Jain, V ; Jakovljevic, M ; Jalali, A ; Jalilian, F ; Janodia, M.D ; Javaheri, T ; Jha, R.P ; John, O ; Johnson, K.B ; Jonas, J.B ; Jonnagaddala, J ; Joseph, N ; Joshi, A ; Joukar, F ; Jozwiak, J.J ; Kabir, A ; Kabir, Z ; Kahlon, T ; Kalankesh, L.R ; Kalhor, R ; Kamath, A ; Kamiab, Z ; Kanchan, T ; Kapil, U ; Kapoor, N ; Karami Matin, B ; Karimi, S.E ; Kasa, A.S ; Kasahun, G.G ; Kassa, Z.Y ; Kassa, G.G ; Kassahun, G ; Kayode, G.A ; Kazemi Karyani, A ; Keflie, T.S ; Keiyoro, P.N ; Kelkay, B ; Keramati, M ; Ketema, D.B ; Khalid, N ; Khammarnia, M ; Khan, M.N ; Khan, M ; Khan, J ; Khatab, K ; Khater, A.M ; Khater, M.M ; Khoja, A.T ; Khubchandani, J ; Kianipour, N ; Kim, Y.-E ; Kim, Y.J ; Kimokoti, R.W ; Kisa, S ; Kisa, A ; Kolola, T ; Koolivand, A ; Kosen, S ; Koul, P. A ; Koyanagi, A ; Krishan, K ; Krishnamoorthy, V ; Kuate Defo, B ; Kugbey, N ; Kulkarni, V ; Kumar, G. A ; Kumar, N ; Kumar, P ; Kumar, M ; Kurmi, O. P ; Kusuma, D ; Lacey, B ; Lad, D. P ; Lal, D.K ; Lami, F. H ; Landires, I ; Larsson, A. O ; Lasrado, S ; Laurens, M. B ; La Vecchia, C ; Laxmaiah, A ; Sharif University of Technology
    Nature Research  2021
    Abstract
    Anemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Additionally, we provide subnational disparity analyses to provide a comprehensive overview of anemia prevalence inequalities within these countries and predict progress toward the World Health Organization’s Global Nutrition Target (WHO GNT) to reduce anemia by half by 2030. Our results... 

    An ellipsoidal model for studying response of head impacts

    , Article Acta of Bioengineering and Biomechanics ; Volume 12, Issue 1 , 2010 , Pages 47-53 ; 1509409X (ISSN) Heydari, M ; Jani, S ; Sharif University of Technology
    2010
    Abstract
    The objective of this study was to propose a new analytical model for studying response of head impacts. Head is modeled by fluidfilled ellipsoidal shell of inconstant thickness impacted by a solid elastic sphere. Modeling the head as an ellipsoid is more realistic than modeling it as a sphere, the previous model existing in the literature [3]-[8]. In this model, the effect of Hertzian contact stiffness and local shell stiffness are combined to derive explicit equations for impact duration, the peak force transmitted to head, and the head injury criterion. One of the advantages of the model presented is sensitivity to the site of impact. A comparison between the present analytical results... 

    Analysis of P300 classifiers in brain computer interface speller

    , Article 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06, New York, NY, 30 August 2006 through 3 September 2006 ; 2006 , Pages 6205-6208 ; 05891019 (ISSN); 1424400325 (ISBN); 9781424400324 (ISBN) Mirghasemi, H ; Fazel Rezai, R ; Shamsollahi, M. B ; Sharif University of Technology
    2006
    Abstract
    In this paper, the performance of five classifiers in P300 speller paradigm are compared. Theses classifiers are Linear Support Vector Machine (LSVM), Gaussian Support Vector Machine (RSVM), Neural Network (NN), Fisher Linear Discriminant (FLD), and Kernel Fisher Discriminant (KFD). In classification of P300 waves, there has been a trend to use SVM classifiers. Although they have shown a good performance, in this paper, it is shown that the FLD classifiers outperform the SVM classifiers. FLD classifier uses only ten channels of the recorded electroencephalogram (EEG) signals. This makes them a very good candidate for real-time applications. In addition, FLD approach does not need any... 

    A multi-scale model for determining the effects of pathophysiology and metabolic disorders on tumor growth

    , Article Scientific Reports ; Volume 10, Issue 1 , 20 February , 2020 Nikmaneshi, M. R ; Firoozabadi, B ; Mozafari, A ; Munn, L. L ; Sharif University of Technology
    Nature Research  2020
    Abstract
    The search for efficient chemotherapy drugs and other anti-cancer treatments would benefit from a deeper understanding of the tumor microenvironment (TME) and its role in tumor progression. Because in vivo experimental methods are unable to isolate or control individual factors of the TME and in vitro models often do not include all the contributing factors, some questions are best addressed with systems biology mathematical models. In this work, we present a new fully-coupled, agent-based, multi-scale mathematical model of tumor growth, angiogenesis and metabolism that includes important aspects of the TME spanning subcellular-, cellular- and tissue-level scales. The mathematical model is... 

    A foreign body response-on-a-chip platform

    , Article Advanced Healthcare Materials ; Volume 8, Issue 4 , 2019 ; 21922640 (ISSN) Sharifi, F ; Htwe, S. S ; Righi, M ; Liu, H ; Pietralunga, A ; Yesil Celiktas, O ; Maharjan, S ; Cha, B. H ; Shin, S. R ; Dokmeci, M. R ; Vrana, N. E ; Ghaemmaghami, A. M ; Khademhosseini, A ; Zhang, Y. S ; Sharif University of Technology
    Wiley-VCH Verlag  2019
    Abstract
    Understanding the foreign body response (FBR) and desiging strategies to modulate such a response represent a grand challenge for implant devices and biomaterials. Here, the development of a microfluidic platform is reported, i.e., the FBR-on-a-chip (FBROC) for modeling the cascade of events during immune cell response to implants. The platform models the native implant microenvironment where the implants are interfaced directly with surrounding tissues, as well as vasculature with circulating immune cells. The study demonstrates that the release of cytokines such as monocyte chemoattractant protein 1 (MCP-1) from the extracellular matrix (ECM)-like hydrogels in the bottom tissue chamber... 

    3D calculation of absorbed dose for 131I-targeted radiotherapy: A monte carlo study

    , Article Radiation Protection Dosimetry ; Volume 150, Issue 3 , October , 2012 , Pages 298-305 ; 01448420 (ISSN) Saeedzadeh, E ; Sarkar, S ; Abbaspour Tehrani Fard, A ; Ay, M. R ; Khosravi, H. R ; Loudos, G ; Sharif University of Technology
    2012
    Abstract
    Various methods, such as those developed by the Medical Internal Radiation Dosimetry (MIRD) Committee of the Society of Nuclear Medicine or employing dose point kernels, have been applied to the radiation dosimetry of 131I radionuclide therapy. However, studies have not shown a strong relationship between tumour absorbed dose and its overall therapeutic response, probably due in part to inaccuracies in activity and dose estimation. In the current study, the GATE Monte Carlo computer code was used to facilitate voxel-level radiation dosimetry for organ activities measured in an . 131I-treated thyroid cancer patient. This approach allows incorporation of the size, shape and composition of...