Error in Text in: Evaluation of the Soft Palate Changes Using Sleep Videofluoroscopy in Patients With Obstructive Sleep Apnea

2009 ◽  
Vol 135 (4) ◽  
pp. 354
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Palate ◽  
Obstructive Sleep

scholarly journals A deep cascaded segmentation of obstructive sleep apnea-relevant organs from sagittal spine MRI

2021 ◽  
Vol 16 (4) ◽  
pp. 579-588
Author(s):  
Tatyana Ivanovska ◽  
Amro Daboul ◽  
Oleksandr Kalentev ◽  
Norbert Hosten ◽  
Reiner Biffar ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Palate ◽  
High Speed ◽  
Sleep Apnea Syndrome ◽  
Epidemiological Data ◽  
Epidemiological Studies ◽  
Obstructive Sleep ◽  
Validation Set ◽  
Spine Mri

Abstract Purpose The main purpose of this work was to develop an efficient approach for segmentation of structures that are relevant for diagnosis and treatment of obstructive sleep apnea syndrome (OSAS), namely pharynx, tongue, and soft palate, from mid-sagittal magnetic resonance imaging (MR) data. This framework will be applied to big data acquired within an on-going epidemiological study from a general population. Methods A deep cascaded framework for subsequent segmentation of pharynx, tongue, and soft palate is presented. The pharyngeal structure was segmented first, since the airway was clearly visible in the T1-weighted sequence. Thereafter, it was used as an anatomical landmark for tongue location. Finally, the soft palate region was extracted using segmented tongue and pharynx structures and used as input for a deep network. In each segmentation step, a UNet-like architecture was applied. Results The result assessment was performed qualitatively by comparing the region boundaries obtained from the expert to the framework results and quantitatively using the standard Dice coefficient metric. Additionally, cross-validation was applied to ensure that the framework performance did not depend on the specific selection of the validation set. The average Dice coefficients on the test set were $$0.89\pm 0.03$$ 0.89 ± 0.03 , $$0.87\pm 0.02$$ 0.87 ± 0.02 , and $$0.79\pm 0.08$$ 0.79 ± 0.08 for tongue, pharynx, and soft palate tissues, respectively. The results were similar to other approaches and consistent with expert readings. Conclusion Due to high speed and efficiency, the framework will be applied for big epidemiological data with thousands of participants acquired within the Study of Health in Pomerania as well as other epidemiological studies to provide information on the anatomical structures and aspects that constitute important risk factors to the OSAS development.

scholarly journals A case of soft palate schwannoma that developed with obstructive sleep apnea syndrome (OSAS)

2018 ◽  
Vol 9 ◽  
pp. 34-36
Author(s):  
Naoko Sata ◽  
Atsunobu Tsunoda ◽  
Noritsugu Ono ◽  
Ayako Inoshita ◽  
Katsuhisa Ikeda
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Soft Palate ◽  
Sleep Apnea Syndrome ◽  
Obstructive Sleep ◽  
Apnea Syndrome

Soft palate implants as a minimally invasive treatment for mild to moderate obstructive sleep apnea

2007 ◽  
Vol 127 (5) ◽  
pp. 527-531 ◽  
Author(s):  
>Ulrich Reinhart Goessler ◽  
Gerhard Hein ◽  
Thomas Verse ◽  
Boris A. Stuck ◽  
Karl Hormann ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Minimally Invasive ◽  
Soft Palate ◽  
Minimally Invasive Treatment ◽  
Invasive Treatment ◽  
Obstructive Sleep

scholarly journals 0569 Soft Palate Fat Between Lean Adults with Obstructive Sleep Apnea and Healthy Control

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A218-A218
Author(s):  
L Xu ◽  
B T Keenan ◽  
A S Wiemken ◽  
A I Pack ◽  
R J Schwab
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Palate ◽  
Intraclass Correlation ◽  
Normal Subjects ◽  
Reconstruction Algorithms ◽  
Obstructive Sleep ◽  
Significant Difference ◽  
Fat Volume ◽  
Fat Pads

Abstract Introduction Previous studies have shown that obese patients with obstructive sleep apnea (OSA) have a significantly greater percentage of fat tissue in soft palate than normal subjects. However, the influence of soft palate fat is not clear in non-obese adults with OSA. This study compared the volume of fat in the soft palate between lean adults with OSA and lean controls. Methods We examined soft palate fat in 21 lean OSA cases and 16 lean controls with body mass index (BMI) <25 kg/m2. All subjects underwent a magnetic resonance imaging (MRI) with three-point Dixon scan. We used volumetric reconstruction algorithms to quantify the amount of soft palate fat, which was compared between apnecis and controls. Analysis reproducibility was quantified using intraclass correlation coefficients (ICC) from repeated analyses of 20 randomly-chosen MRIs. Results Analysis of soft palate fat was highly reproducible, with an ICC (95% confidence interval) of 0.968 (0.923, 0.987). Lean apneics were younger than lean controls (45.3±13.0 vs. 62.1±10.4 years; p<0.0001). No significant differences between apneics and controls were observed in the average BMI (23.4±2.2 vs. 23.5 ± 2.6 kg/m2; p=0.824), the fat pads volume (4198±1728 vs. 3880±1544 mm3; p=0.646), and the proportion of males (61.9% vs. 68.8%; p=0.666). In unadjusted analyses, the lean OSA group showed significantly higher soft palate fat volume than lean controls (7605±2109 vs. 5327±1783 mm3; p=0.003). When adjusting for age, gender and BMI, no differences was observed between groups in soft palate fat volume (p=0.122) and fat pads volume (p=0.702). Conclusion Analysis of soft palate fat volume from Dixon MRI is highly reproducible. Our results indicate no significant difference in deposition of fat at soft palate between lean patients with OSA and lean controls when accounting for age, gender and BMI. Support This study is supported by National Institutes of Health Grant: 2P01HL094307-06A1. LX is supported by Young Elite Scientists Sponsorship Program of China Association for Science and Technology.

Poster 50 Inflammation is Present in the Soft Palate of Patients with Obstructive Sleep Apnea

1995 ◽  
Vol 113 (2) ◽  
pp. P91-P91 ◽  
Author(s):  
Marin Sekosan ◽  
Barry Wenig ◽  
Edward J. Stepanski ◽  
Israel Rubinstein
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Palate ◽  
Obstructive Sleep

S295 – Palate Length, Tonsil Size, and Sleep Apnea Severity

2008 ◽  
Vol 139 (2_suppl) ◽  
pp. P173-P173
Author(s):  
Neil Bhattacharyya
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Tissue ◽  
Soft Palate ◽  
Free Edge ◽  
Obstructive Sleep Apnea Severity ◽  
Obstructive Sleep ◽  
Lateral Posterior ◽  
The Mean ◽  
Respiratory Disturbance

Objectives Determine the relationships between soft tissue oropharyngeal measurements and obstructive sleep apnea severity. Methods A prospective series of adult patients undergoing surgical theraphy for obstructive sleep apnea (OSA) was studied. Tonsil size (graded 0 to 4+) and median (palatal spineuvula tip) and lateral (posterior hard palate-free edge soft palate) dimensions of the soft palate were directly measured transorally at the time of surgery. From the preoperative polysomnographic and the medical record, respiratory disturbance index (RDI), lowest oxygen saturation (LSat) and body mass index (BMI) were determined. The relationships between both RDI and LSat and tonsil size and palatal dimensions was determined with multivariate linear regression adjusted for BMI. Results 88 patients were enrolled. The mean (±)95% confidence interval values for the median and lateral soft palate lengths were 4.71 (±) 0.14 cm and 3.73 (±) 0.12 cm, respectively; the mean tonsil size was 1.8 (±) 0.3. The mean RDI and LSat were 44.0 (±) 5.6 events/hour and 84.7 (±) 2.4%, respectively. On multivariate regression, only BMI significantly predicted RDI (p=0.003); median (p=0.210) and lateral (p=0.507) palate lengths and tonsil size (p=0.860) did not. For the LSat, both BMI and tonsil size were significant predictors (p<0.001 and p=0.017, respectively); median and lateral lengths were not (p=0.251 and p=.376, respectively). Conclusions Adjusted for BMI, soft palate length does not consistently predict sleep apnea severity. Adjusted for BMI, tonsil size predicts the LSat but not the RDI. These results highlight difficulties associated with correlating soft tissue anatomy with sleep apnea severity.

Analysis of genetic expression in the soft palate of patients with obstructive sleep apnea

2012 ◽  
Vol 132 (sup1) ◽  
pp. S63-S68 ◽  
Author(s):  
Chang Myeon Song ◽  
Chul Hee Lee ◽  
Chae-Seo Rhee ◽  
Yang-Gi Min ◽  
Jeong-Whun Kim
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Palate ◽  
Genetic Expression ◽  
Obstructive Sleep

Soft palate sensory neuropathy in the pathogenesis of obstructive sleep apnea

2011 ◽  
Vol 121 (2) ◽  
pp. 451-456 ◽  
Author(s):  
Ola Sunnergren ◽  
Anders Broström ◽  
Eva Svanborg
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Soft Palate ◽  
Sensory Neuropathy ◽  
Obstructive Sleep
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