Three-dimensional high-isotropic-resolution MR fingerprinting optimized for 0.55 T.

Purpose: To provide a fast quantitative imaging approach for a 0.55T scanner, where signal-to-noise ratio is limited by the field strength and k-space sampling speed is limited by a lower specification gradient system.

Methods: We adapted the three-dimensional spiral projection imaging MR fingerprinting approach to 0.

Factors associated with lower forced vital capacity in children and adults with Duchenne muscular dystrophy using non-invasive ventilation: a multicenter analysis.

Background: Reduced forced vital capacity (FVC) is associated with morbidity and mortality in individuals with Duchenne muscular dystrophy (DMD). Non-invasive ventilation (NIV) is often prescribed for the treatment of sleep-disordered breathing (SDB), and chronic respiratory insufficiency. Despite the common practice of initiating NIV later in the progression of DMD, the factors influencing FVC subsequent to the commencement of NIV remain unclear.

Adherence to positive airway pressure therapy in patients with Down syndrome: assessing cloud based monitoring data.

Study Objectives: Obstructive sleep apnea (OSA) is common in Down syndrome (DS) with many patients prescribed positive airway pressure (PAP) therapy. This study evaluates PAP adherence and identifies factors influencing adherence.

Methods: Retrospective analysis of electronic health records and cloud-based PAP therapy data from DS patients at Rady Children's Hospital, San Diego, CA.

The future of big data: Remote monitoring of positive airway pressure treatment for obstructive sleep apnea - insights from adults and implications for pediatric care.

The advent of large expansive datasets has generated substantial interest as a means of developing and implementing unique algorithms that facilitate more precise and personalized interventions. This methodology has permeated the realm of sleep medicine and in the care of patients with sleep disorders. One of the large repositories of information consists of adherence and physiological datasets across long periods of time as derived from patients undergoing positive airway pressure (PAP) treatment for sleep-disordered breathing.