Viktória Molnár1, András Molnár2, Zoltán Lakner3, Dávid László Tárnoki4, Ádám Domonkos Tárnoki4, Zsófia Jokkel4, László Kunos5, László Tamás1. 1. Department of Otolaryngology and Head and Neck Surgery, Semmelweis University, Szigony u. 36., 1083, Budapest, Hungary. 2. Department of Otolaryngology and Head and Neck Surgery, Semmelweis University, Szigony u. 36., 1083, Budapest, Hungary. andrasm94@gmail.com. 3. Faculty of Food Science, Hungarian University of Agriculture and Life Sciences, Gödöllő, Hungary. 4. Medical Imaging Centre, Semmelweis University, Budapest, Hungary. 5. Institute of Pulmonology, Törökbálint, Hungary.
Abstract
PURPOSE: This study examined the prognostic value of the lateral pharyngeal wall (LPW)-based obstruction and obstructive sleep apnoea (OSA) prediction using ultrasound (US) and MRI (magnetic resonance imaging). METHODS: One hundred patients with and without OSA were enrolled, according to overnight polysomnography. The LPW thickness (LPWT) was measured using a Philips Ingenia 1.5 T MRI device, and US measurements were carried out at rest and during Müller's manoeuvre (MM) with a Samsung RS85 device. The obstruction was localised under drug-induced sleep endoscopy. RESULTS: Significantly greater LPWT using MRI was observed in the OSA group compared to the control group, while US results showed a significant difference only in the case of LPWT during MM on the left side. Obese patients presented significantly higher LPWT values. A significant correlation between BMI and LPWT was observed. Men presented significantly higher LPWT MRI values and left-sided LPWT using US compared to women. LPWT and AHI parameters were significantly correlated. The severity of LPW obstruction correlated with LPWT, while the LPW collapse significantly correlated with AHI. The severity of LPW collapse differed depending on the AHI values. Using US LPWT values and anthropometric parameters, a 93% effectiveness in OSA prognostication and 89% in LPWT-based obstruction were detected. MRI detected OSA in 90% and LPW-based obstruction in 84%. US successfully detected LPW-based collapse severity in 67%. CONCLUSION: US LPWT measurements were helpful in detecting OSA and LPWT-based obstruction. These examinations may be useful for surgical planning.
PURPOSE: This study examined the prognostic value of the lateral pharyngeal wall (LPW)-based obstruction and obstructive sleep apnoea (OSA) prediction using ultrasound (US) and MRI (magnetic resonance imaging). METHODS: One hundred patients with and without OSA were enrolled, according to overnight polysomnography. The LPW thickness (LPWT) was measured using a Philips Ingenia 1.5 T MRI device, and US measurements were carried out at rest and during Müller's manoeuvre (MM) with a Samsung RS85 device. The obstruction was localised under drug-induced sleep endoscopy. RESULTS: Significantly greater LPWT using MRI was observed in the OSA group compared to the control group, while US results showed a significant difference only in the case of LPWT during MM on the left side. Obese patients presented significantly higher LPWT values. A significant correlation between BMI and LPWT was observed. Men presented significantly higher LPWT MRI values and left-sided LPWT using US compared to women. LPWT and AHI parameters were significantly correlated. The severity of LPW obstruction correlated with LPWT, while the LPW collapse significantly correlated with AHI. The severity of LPW collapse differed depending on the AHI values. Using US LPWT values and anthropometric parameters, a 93% effectiveness in OSA prognostication and 89% in LPWT-based obstruction were detected. MRI detected OSA in 90% and LPW-based obstruction in 84%. US successfully detected LPW-based collapse severity in 67%. CONCLUSION: US LPWT measurements were helpful in detecting OSA and LPWT-based obstruction. These examinations may be useful for surgical planning.
Authors: R Heinzer; S Vat; P Marques-Vidal; H Marti-Soler; D Andries; N Tobback; V Mooser; M Preisig; A Malhotra; G Waeber; P Vollenweider; M Tafti; J Haba-Rubio Journal: Lancet Respir Med Date: 2015-02-12 Impact factor: 30.700
Authors: Adam V Benjafield; Najib T Ayas; Peter R Eastwood; Raphael Heinzer; Mary S M Ip; Mary J Morrell; Carlos M Nunez; Sanjay R Patel; Thomas Penzel; Jean-Louis Pépin; Paul E Peppard; Sanjeev Sinha; Sergio Tufik; Kate Valentine; Atul Malhotra Journal: Lancet Respir Med Date: 2019-07-09 Impact factor: 30.700
Authors: Kin-Hung Liu; Winnie C W Chu; Kin-Wang To; Fanny W S Ko; Mabel W C Tong; Jeff W S Chan; David S Hui Journal: Sleep Date: 2007-11 Impact factor: 5.849