The Magnetic Resonance Imaging Core, located in the Sleep Imaging Center will act as a central facility to handle and process the large number of MRI's (in both humans and mice) and MR data analysis generated by Projects 1 and 3. The objectives of the Imaging Core are to: 1) transfer data from the MRI to the Sleep Imaging Center; 2) ensure proper data analysis of the MR images; 3) perform quantitative volumetric analysis of upper airway soft tissue and craniofacial structures and visceral abdominal fat in humans with MRI and quantify tongue fat with Dixon imaging; 4) perform quantitative volumetric analysis of upper airway soft tissue and visceral abdominal fat in mice with MRI and quantify tongue fat with Dixon imaging; 5) ensure quality control of the human and mice MR images; and 6) establish new automated computer analysis three- dimensional image analysis programs. The MR images will be electronically transferred to the Sleep Imaging Center via a Picture Archiving and Communication System (PACS). The image analysis will be performed in the Sleep Imaging Center where there are 6 workstations running AMIRA software ? Advanced Visualization and Volume Modeling for volumetric display of the data. The MR data analysis is complicated and cannot be performed without significant training. Dr. Schwab has been the director of the Sleep Imaging Center since 1991 and has an established track record for analyzing such data. The large number of MRI's justifies the establishment of a core devoted to the performing the complicated analysis proposed in Projects 1, and 3. A centralized facility will ensure quality control of the data and cost effectiveness. We will perform MRI's at the University of Pennsylvania and in Iceland. We have already developed a successful collaboration with the Iceland MR team in a large NIH-funded Icelandic study (A Family Linkage Study of Obstructive Sleep Apnea (HL072067)) in which 709 MRI's of the upper airway have been performed. These MRI's have already been analyzed. In addition we have established track record of performing MRI in rodents. We have published two studies examining upper airway soft tissue/craniofacial structures including tongue fat in mice and rats. Thus we have a track record for upper airway imaging in humans and rodents. The Magnetic Resonance Imaging Core will be under the leadership of Dr. Richard Schwab with support staff consisting of senior research radiologist (Dr. Torigian), and three research technicians to perform and validate the image analysis. Development of a central core facility with expertise in upper airway imaging in humans and mice will facilitate the proposed research by standardizing the imaging analysis paradigms, allow the development of new image analysis approaches and ensure quality assurance/reproducibility across the research projects.

Public Health Relevance

Known risk factors for sleep apnea include the size of upper airway and craniofacial structures. This core will study the role of anatomic features in determining two extreme Sleep apnea phenotypes: lean patients with sleep apnea and obese patients without sleep apnea by using MRI. Studying extreme phenotypes is a unique approach to understanding factors that cause or protect against sleep apnea, and may result in novel treatment strategies targeting specific traits within a given individual. This core will also examine fat distributions in mice with MRI.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL094307-10
Application #
9978104
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Program Officer
Laposky, Aaron D
Project Start
Project End
Budget Start
2020-05-01
Budget End
2021-04-30
Support Year
10
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Type
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104
Feng, Yuan; Keenan, Brendan T; Wang, Stephen et al. (2018) Dynamic Upper Airway Imaging during Wakefulness in Obese Subjects with and without Sleep Apnea. Am J Respir Crit Care Med 198:1435-1443
Sands, Scott A; Edwards, Bradley A; Terrill, Philip I et al. (2018) Phenotyping Pharyngeal Pathophysiology using Polysomnography in Patients with Obstructive Sleep Apnea. Am J Respir Crit Care Med 197:1187-1197
Pien, Grace W; Ye, Lichuan; Keenan, Brendan T et al. (2018) Changing Faces of Obstructive Sleep Apnea: Treatment Effects by Cluster Designation in the Icelandic Sleep Apnea Cohort. Sleep 41:
Mazzotti, Diego R; Lim, Diane C; Sutherland, Kate et al. (2018) Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity. Physiol Meas 39:09TR01
Sands, Scott A; Edwards, Bradley A; Terrill, Philip I et al. (2018) Identifying obstructive sleep apnoea patients responsive to supplemental oxygen therapy. Eur Respir J 52:
Keenan, Brendan T; Kim, Jinyoung; Singh, Bhajan et al. (2018) Recognizable clinical subtypes of obstructive sleep apnea across international sleep centers: a cluster analysis. Sleep 41:
van Hees, Vincent Theodoor; Sabia, S; Jones, S E et al. (2018) Estimating sleep parameters using an accelerometer without sleep diary. Sci Rep 8:12975
Shulman, Rachel; Cohen, Debbie L; Grandner, Michael A et al. (2018) Sleep duration and 24-hour ambulatory blood pressure in adults not on antihypertensive medications. J Clin Hypertens (Greenwich) 20:1712-1720
Gao, Xiaoling; Azarbarzin, Ali; Keenan, Brendan T et al. (2017) Heritability of Heart Rate Response to Arousals in Twins. Sleep 40:
Lyons, M Melanie; Keenan, Brendan T; Li, Junxin et al. (2017) Symptomless Multi-Variable Apnea Prediction Index Assesses Obstructive Sleep Apnea Risk and Adverse Outcomes in Elective Surgery. Sleep 40:

Showing the most recent 10 out of 51 publications