UTHealth Houston Leads in Pulmonary Innovation and Global CDH Research

by Grace Chen

In the high-stakes environment of pulmonary medicine, the distance between a laboratory breakthrough and a patient’s bedside is often measured in years of clinical trials and regulatory hurdles. However, a shift toward aggressive international collaboration and the early adoption of non-invasive imaging is beginning to shrink that gap, transforming how clinicians manage some of the most complex respiratory conditions.

At the center of this evolution is the Division of Pulmonary and Sleep Medicine at McGovern Medical School at UTHealth Houston. By integrating multidisciplinary surgical expertise with global data networks, the institution is moving beyond traditional treatment models to embrace a more personalized, data-driven approach to lung health. This strategy is evident in their recent expansion into international registries and the deployment of cutting-edge imaging technology that was previously confined to research settings.

For patients—particularly neonates and those with rare chronic lung diseases—these advancements represent more than just institutional prestige. They signal a move toward “precision pulmonology,” where treatment is adjusted in real-time based on the unique physiological responses of the individual patient rather than generalized protocols.

Bridging Disciplines to Treat Congenital Diaphragmatic Hernia

One of the most challenging frontiers in pediatric pulmonary care is Congenital Diaphragmatic Hernia (CDH), a defect where the diaphragm fails to close during fetal development, allowing abdominal organs to migrate into the chest cavity and compress the developing lungs. Managing CDH requires a seamless handoff between prenatal care, neonatal surgery, and long-term pulmonary management.

Bridging Disciplines to Treat Congenital Diaphragmatic Hernia
Pulmonary Innovation Division

To refine these protocols, a multidisciplinary team from UTHealth Houston recently presented their collaborative findings at the CDH International Symposium in Leuven, Belgium. The delegation, led by Ricardo Mosquera, MD, MS, Chief of the Pulmonary and Sleep Medicine Division, included experts from the Department of Pediatric Surgery—Matthew Harting, MD, MS, and Ashley Ebanks, FNP-C—as well as Anthony Johnson, DO, from the Department of Obstetrics, Gynecology, and Reproductive Sciences.

This cross-departmental synergy is critical because CDH is not a single-event condition; it is a lifelong trajectory. By presenting their integrated approach on a global stage, the team is contributing to a unified international standard of care, ensuring that the transition from the operating table to chronic respiratory support is managed with a singular, cohesive strategy.

Mapping the Natural History of Pediatric Bronchiectasis

While CDH represents an acute surgical and pulmonary challenge, bronchiectasis—a condition characterized by the permanent enlargement of parts of the airways—requires a long-term, longitudinal understanding of disease progression. Because the condition can be rare in children and varies wildly in its presentation, clinicians have historically struggled with a lack of comprehensive data.

Mapping the Natural History of Pediatric Bronchiectasis
Pulmonary Innovation

To address this, McGovern Medical School has joined the International Bronchiectasis Pediatric Registry, known as Child-BEAR-Net. This prestigious network, led by research teams in Australia, Spain, and the United Kingdom, aims to document the incidence, prevalence, and natural history of the disease across diverse populations.

The significance of this partnership cannot be overstated: McGovern Medical School is only the second program in the United States to be invited into this network. By contributing patient data to this global pool, UTHealth Houston clinicians can compare their outcomes against international benchmarks, helping to identify which interventions most effectively sluggish the progression of lung damage in children.

From Research to Bedside: The Clinical Debut of Sentec EIT

Perhaps the most immediate impact on patient care is the clinical deployment of Electrical Impedance Tomography (EIT). While traditional imaging like X-rays and CT scans provide high-resolution “snapshots” of the lungs, they often involve ionizing radiation and require the patient to be moved from their bed to a radiology suite—a dangerous prospect for critically ill neonates or patients on ventilators.

From Research to Bedside: The Clinical Debut of Sentec EIT
Pulmonary Innovation Clinical

The Sentec EIT system, featuring the FDA-cleared LuMon technology, changes this dynamic. The device utilizes a non-invasive, radiation-free soft belt placed around the patient’s thorax. By sending safe, alternating currents through the chest, the system creates a continuous, real-time map of regional lung ventilation and air distribution.

While approximately 15 other centers in the U.S. Possess EIT systems, their application has been strictly limited to research. UTHealth Houston is the first center in the country to deploy this device for active clinical use. This allows physicians to see, in real-time, how air is moving through a patient’s lungs and adjust ventilator settings or respiratory therapy instantly to prevent lung injury.

2025 UTHealth Houston Center for Digital Healthcare Innovation (CDHI) Informatics Summit
Technology/Initiative Primary Function Clinical Impact
Sentec EIT (LuMon) Real-time lung ventilation mapping Radiation-free, bedside personalization of therapy
Child-BEAR-Net Global pediatric bronchiectasis registry Standardized mapping of disease natural history
CDH Collaboration Multidisciplinary surgical/pulmonary care Improved neonatal outcomes for diaphragmatic hernias

Disclaimer: This article is provided for informational purposes only and does not constitute medical advice. Patients should consult with a qualified healthcare provider for diagnosis and treatment of pulmonary conditions.

As UTHealth Houston continues to integrate these global partnerships and bedside technologies, the next phase of development will likely focus on the synthesis of this data. The ability to combine real-time imaging from the EIT with the longitudinal data from the Child-BEAR-Net registry could lead to new predictive models for respiratory failure, and recovery.

We invite you to share your thoughts on the integration of AI and real-time imaging in pulmonary care in the comments below.

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