Clinical and non-clinical initial assessment of facial nerve paralysis: A qualitative review

Biocybernetics and Biomedical Engineering - Tập 34 - Trang 71-78 - 2014
Wan Syahirah W. Samsudin1, Kenneth Sundaraj1
1AI-Rehab Research Group, Universiti Malaysia Perlis (UniMAP), Kampus Pauh Putra, Perlis, Malaysia

Tài liệu tham khảo

Dunwald, 2010 Kecskés, 2012 Schaitkin, 2000, Reporting recovery of facial function, 275 Yen, 2003, Significance of House–Brackmann facial nerve grading global score in setting of differential facial nerve function, Otol Neurotol, 24, 118, 10.1097/00129492-200301000-00023 Berg, 2004, Agreement between the Sunnybrook: House Brackmann, and Yanagihara facial nerve grading system in Bell's palsy, Otol Neurotol, 25, 1020, 10.1097/00129492-200411000-00027 Neely, 2010, Computerized objective measurement of facial motion: normal variation and test–retest reliability, Otol Neurotol, 31, 1488, 10.1097/MAO.0b013e3181edb6b8 Scriba, 1999, Objective evaluation of normal facial function, Ann Otol Rhinol Laryngol, 108, 641, 10.1177/000348949910800703 Sargent, 1998, Measurement of facial movement with computer software, Arch Otolaryngol Head Neck Surg, 124, 313, 10.1001/archotol.124.3.313 Sjogreen, 2001, Development of speech: feeding, eating, and expression in Mobius sequence, Int J Pediatr Otorhinolaryngol, 60, 197, 10.1016/S0165-5876(01)00532-8 Goldberg, 2003, The effects of gracilis muscle transplantation on speech in children with Moebius syndrome, J Craniofac Surg, 14, 687, 10.1097/00001665-200309000-00015 Pereira, 2011, Facial exercise therapy for facial palsy: systematic review and meta-analysis, Clin Rehabil, 25, 649, 10.1177/0269215510395634 Pavlou, 2011, Facial nerve palsy in childhood, Brain Dev, 33, 644, 10.1016/j.braindev.2010.11.001 Martyn, 1997, Epidemiology of peripheral neuropathy, J. Neurotol Neurosurg Psychiatry, 62, 310, 10.1136/jnnp.62.4.310 Brach, 1999, Not all facial paralysis is Bell's palsy: a case report, Arch Phys Med Rehabil, 80, 857, 10.1016/S0003-9993(99)90240-X Singhi, 2003, Bell's palsy in children, Semin Pediatr Neurol, 10, 289, 10.1016/S1071-9091(03)00077-9 Beurskens, 2006, Mime therapy improves facial symmetry in people with long-term facial nerve paresis: a randomised controlled trial, Aust Physiother Assoc, 52, 177, 10.1016/S0004-9514(06)70026-5 Steiner, 1999, Bell's palsy and herpes viruses: to (acyclo)vir or not to (acyclo)vir?, J Neurol Sci, 170, 19, 10.1016/S0022-510X(99)00187-2 Piercy, 2005, Bell's palsy, BMJ, 330, 1374, 10.1136/bmj.330.7504.1374 Benecke, 2002, Facial paralysis, Otolaryngol Clin North Am, 35, 357, 10.1016/S0030-6665(02)00003-8 Jackson, 1999, The facial nerve. Current trends in diagnosis: treatment, and rehabilitation, Med Clin North Am, 83, 179, 10.1016/S0025-7125(05)70096-1 Shaw, 2005, Bell's palsy: a study of treatment advice given by neurologists, BMJ, 76, 293 Tiemstra, 2007, Bell's palsy: diagnosis and management, Am Fam Phys, 76, 997 US Census Bureau, 2012 Kang, 2002, Facial nerve grading systems (1985–2002): beyond the House–Brackmann scale, Otol Neurotol, 23, 767, 10.1097/00129492-200209000-00026 Ross, 1996, Development of a sensitive clinical facial grading system, Otolaryngol Head Neck Surg, 114, 380, 10.1016/S0194-5998(96)70206-1 Lewis, 1995, An analysis of the Adour–Swanson and House–Brackmann grading systems for facial nerve recovery, Eur Arch Otorhinolaryngol, 252, 265 Kanerva, 2008, 13 Bajaj-Luthra, 1998, Quantification of patterns of facial movement in patients with ocular to oral synkinesis, Plast Reconstr Surg, 101, 1473, 10.1097/00006534-199805000-00007 Pourmomeny, 2011, Measurement of facial movements with photoshop software during treatment of facial nerve palsy, J Res Med Sci, 16, 1313 Wang, 2004, Objective facial paralysis grading based on Pface and eigenflow, Med Biol Eng Comp, 42, 598, 10.1007/BF02347540 Samsudin, 2013, Review: evaluation and grading systems of facial paralysis for facial rehabilitation, J Phys Ther Sci, 25, 515, 10.1589/jpts.25.515 Botman, 1955, The result of intratemporal treatment of facial palsy, Pract Otorhinolaryngol (Basel), 17, 80 House, 1983, Facial nerve grading systems, Laryngoscope, 93, 1056, 10.1288/00005537-198308000-00016 Dong, 2008, An approach to evaluation of degree of facial paralysis based on image processing and pattern recognition, J Inform Syst, 5, 483 House, 1985, Facial nerve grading system, Otolaryngol Head Neck Surg, 93, 146, 10.1177/019459988509300202 Nishida, 2010, An image based quantitative evaluation method for facial paralysis Chee Nedzelski, 2000, Facial nerve grading systems, Facial Plast Surg, 16, 315, 10.1055/s-2000-15547 Hu, 2001, Reliability of the Sunnybrook facial grading system by novice users, J Otolaryngol, 30, 208, 10.2310/7070.2001.20148 Kayhan, 2000, Toronto facial grading system: interobserver reliability, Otolaryngol Head Neck Surg, 122, 212, 10.1016/S0194-5998(00)70241-5 Neely, 2010, Sunnybrook facial grading system: reliability and criteria for grading, Laryngoscope, 120, 1038 Satoh, 2000, A comparison and conversion table of ‘House–Brackmann facial nerve grading system’ and ‘the Yanagihara grading system’, Auris Nasus Larynx, 27, 207, 10.1016/S0385-8146(99)00049-8 Stennert, 1977, An index for paresis and defective healing – an applied method for objectively determining therapeutic results in facial paralysis, HNO, 25, 238 Burres, 1985, Facial biomechanics: the standard of normal, Laryngoscope, 95, 708, 10.1288/00005537-198506000-00013 Murty, 1994, The Nottingham system: objective assessment of facial nerve functions in the clinic, Otolaryngol Head Neck Surg, 110, 156, 10.1177/019459989411000203 Burres, 1986, The comparison of facial grading systems, Arch Otolaryngol Head Neck Surg, 112, 755, 10.1001/archotol.1986.03780070067015 Croxson, 1990, Grading facial nerve function: House–Brackmann vs Burres–Fisch, Am J Otol, 11, 240 Fields, 1990, Facial nerve function index: a clinical measurement of facial nerve activity in patients with facial nerve palsies, Oral Surg Oral Med Oral Pathol, 69, 681, 10.1016/0030-4220(90)90347-U Dulguerov, 2003, Videomimicography: the standards of normal revised, Arch Otolaryngol Head Neck Surg, 129, 960, 10.1001/archotol.129.9.960 Delannoy, 2011, A preliminary investigation into the use of machine vision techniques for automating facial paralysis rehabilitation therapy He, 2007, Biomedical image sequence analysis with application to automatic quantitative assessment of facial paralysis, EURASIP J Image Video Process, 3, 1, 10.1155/2007/81282 Otsu, 1979, A threshold selection method from gray-level histogram, IEEE Trans Syst Man Cybern, 9, 62, 10.1109/TSMC.1979.4310076 Maeda, 1993, Evaluation of facial palsy by Moire’ topography: a simplified method, Soc Pract Otolaryngol Supply, 64, 60 Yuen, 1997, Evaluation of facial palsy by moiré topography index, Otolaryngol Head Neck Surg, 117, 567, 10.1016/S0194-5998(97)70032-9 Mehta, 2008, Novel 3-D video for quantification of facial movement, Otolaryngol Head Neck Surg, 138, 468, 10.1016/j.otohns.2007.12.017 Sakaeda, 2006, Evaluation method of facial palsy using features from 3-dimensional construction Johnson, 1994, Simultaneous quantification of facial movements: the maximal static response assay of facial nerve function, Ann Plast Surg, 32, 171, 10.1097/00000637-199402000-00013 Wachtman, 2001, Automated tracking of facial features in patients with facial neuromuscular dysfunction, Plast Reconstr Surg, 107, 1124, 10.1097/00006534-200104150-00005 Neely, 1992, Computerized quantitative dynamic analysis of facial motion in the paralyzed and synkinetic face, Am J Otol, 13, 97 Neely, 1996, Quantitative assessment of the variation within grades of facial paralysis, Laryngoscope, 106, 438, 10.1097/00005537-199604000-00009 Liu, 2010, Evaluation of facial paralysis degree based on regions Anguraj, 2012, Analysis of facial paralysis disease using image processing technique, Int J Comput Appl, 54, 1 Dong, 2008, An approach for quantitative evaluation of the degree of facial paralysis based on salient point detection Gebhard, 2000 Cohn, 1999, Automated face analysis by feature point tracking has high concurrent validity with manual FACS coding, Psychophysiology, 36, 35, 10.1017/S0048577299971184 Tanaka, 2004, The evaluation of facial palsy by amount of feature point movements at facial expressions Cootes, 2001 Isono, 1996, An objective evaluation method for facial mimic motion, Otolaryngol Head Neck Surg, 114, 27, 10.1016/S0194-5998(96)70279-6 He, 2009, Quantitative analysis of facial paralysis using local binary patterns in biomedical videos, IEEE Trans Biomed Eng, 56, 1864, 10.1109/TBME.2009.2017508 Frey, 1999, Three-dimensional video analysis of facial movements: a new method to assess the quantity and quality of the smile, Plast Reconstr Surg, 104, 2032, 10.1097/00006534-199912000-00013 Gunaratne, 2003, Objective evaluation of facial paralysis by asymmetry in expressions, Med Image Comput Comput Assist Interv – MICCAI, 2879, 1 O’Grady, 1999, Facial asymmetry: three-dimensional analysis using laser surface scanning, Plast Reconstr Surg, 104, 928, 10.1097/00006534-199909020-00006 Tzou, 2012, Evolution of the 3-dimensional video system for facial motion analysis; ten years’ experiences and recent developments, Ann Plast Surg, 69, 173, 10.1097/SAP.0b013e3182223d96 Pourmomeni, 2010, Measurement of facial movements with photoshop software, Iran J Otorhinolaryngol, 22, 15 Hadlock, 2012, Toward a universal: automated facial measurement tool in facial reanimation, Arch Facial Plast Surg, 14, 277, 10.1001/archfacial.2012.111 Bajaj-Luthra, 1997, Quantitative analysis of facial motion components: anatomic and nonanatomic motion in normal persons and in patients with complete facial paralysis, Plast Reconstr Surg, 99, 1894, 10.1097/00006534-199706000-00014 Hontanilla, 2008, Automatic three-dimensional quantitative analysis for evaluation of facial movement, J Plastic Reconstr Aesthet Surg, 61, 18, 10.1016/j.bjps.2007.03.037 Tomat, 2005, Evaluation of a new measurement tool for facial paralysis reconstruction, Plast Reconstr Surg, 115, 696, 10.1097/01.PRS.0000152431.55774.7E Jorge, 2012, Objective computerized evaluation of normal patterns of facial muscles contraction, Braz J Otorhinolaryngol, 78, 41 McGrenary, 2005, Objective grading of facial paralysis using artificial intelligence analysis of video data Sucar, 2004, A prototype for automatic image analysis to quantify rehabilitation of chronic facial paralysis, Rev Mexicana Ingenieria Biomed, 25, 109