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Author de Backer, J.W.; Vos, W.G.; Verhulst, S.L.; de Backer, W. doi  openurl
  Title Novel imaging techniques using computer methods for the evaluation of the upper airway in patients with sleep-disordered breathing: a comprehensive review Type A1 Journal article
  Year (down) 2008 Publication Sleep medicine reviews Abbreviated Journal Sleep Med Rev  
  Volume 12 Issue 6 Pages 437-447  
  Keywords A1 Journal article; Condensed Matter Theory (CMT); Laboratory Experimental Medicine and Pediatrics (LEMP)  
  Abstract Patients with sleep related breathing disorders (SRBD) can be treated with nasal continuous positive airway pressure (nCPAP) or with several upper airway (UA) interventions. While nCPAP is almost always effective when clinically well tolerated, the therapeutic outcome of UA surgery and UA devices is difficult to predict. The improvement of our capability to perform the latter predictions more accurately is of great clinical importance since it will prevent patients to be treated with ineffective, sometimes irreversible, techniques. In this review we describe the importance of new imaging methods in this respect. We first refer to the most important pathophysiological mechanisms known so far to play a role in SRBD, indicating that functional imaging could elucidate these mechanisms in a patient specific manner. Then we describe the new technologies that make UA imaging more functional referring to the data as they are presently available. Finally we summarise the studies that do indicate that the use of functional imaging of the UA in SRBD patients may significantly help to predict the clinical outcome after UA interventions.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication New York Editor  
  Language Wos 000261904500003 Publication Date 2008-10-16  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1087-0792; ISBN Additional Links UA library record; WoS full record; WoS citing articles  
  Impact Factor 8.958 Times cited 33 Open Access  
  Notes Approved Most recent IF: 8.958; 2008 IF: 6.143  
  Call Number UA @ lucian @ c:irua:71640 Serial 2378  
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