News | Lung Imaging | May 24, 2024

A recently-published study, “Association of Acute Respiratory Disease Events with Quantitative Interstitial Abnormality Progression at CT in Individuals with a History of Smoking,” found that in individuals with a history of smoking, progression of quantitative interstitial abnormalities (QIA) at CT was associated with severe acute respiratory events, independent of comorbidities, such as emphysema and small airway disease. The study was published in published in Radiology, a journal of the Radiological Society of North America (RSNA).

A recently-published study, found that in individuals with a history of smoking, progression of quantitative interstitial abnormalities (QIA) at CT was associated with severe acute respiratory events, independent of comorbidities, such as emphysema and small airway disease.

A recently-published study, “Association of Acute Respiratory Disease Events with Quantitative Interstitial Abnormality Progression at CT in Individuals with a History of Smoking,” found that in individuals with a history of smoking, progression of quantitative interstitial abnormalities (QIA) at CT was associated with severe acute respiratory events, independent of comorbidities, such as emphysema and small airway disease. The study was published in published in Radiology, a journal of the Radiological Society of North America (RSNA). Image courtesy: RSNA


May 24, 2024 — Smokers who have small abnormalities on their CT scans that grow over time have a greater likelihood of experiencing acute respiratory disease events, according to a new study published today in Radiology, a journal of the Radiological Society of North America (RSNA). The recently-published study, “Association of Acute Respiratory Disease Events with Quantitative Interstitial Abnormality Progression at CT in Individuals with a History of Smoking," found that in individuals with a history of smoking, progression of quantitative interstitial abnormalities (QIA) at CT was associated with severe acute respiratory events, independent of comorbidities, such as emphysema and small airway disease.

Quantitative interstitial abnormalities (QIA) are subtle abnormalities on chest CTs that do not meet the diagnostic criteria for advanced pulmonary diseases but are nonetheless associated with decreased lung function and capacity, increased respiratory symptoms and death. 

“QIA includes features like reticulation and ground-glass opacities as well as subtle density changes with important clinical implications,” said Bina Choi, M.D., associate physician in the Division of Pulmonary and Critical Care Medicine at Brigham and Women’s Hospital and postdoctoral fellow at the Applied Chest Imaging Laboratory, Harvard Medical School in Boston. “In some patients, QIA may be a precursor to advanced diseases such as pulmonary fibrosis or emphysema.”

Acute respiratory disease events are episodes of increased cough, phlegm or shortness of breath that last at least two days and require treatment with steroids or antibiotics. Severe acute respiratory disease episodes require an emergency room visit or hospitalization.

“We wanted to determine whether progression in QIA on chest CT is associated with acute respiratory disease events in individuals with a history of smoking,” Dr. Choi said. “While many acute respiratory disease events are likely related to airway disease and COPD, some may instead be associated with QIA especially in people without obstruction or emphysema.”

Dr. Choi’s team performed a secondary analysis of the CT scans of 3,972 participants (mean age 60.7; 2,120 women) in the COPDGene Study, one of the largest studies ever to investigate the underlying genetic factors of COPD. The study included individuals with a 10-pack-year or greater smoking history recruited from multiple centers between November 2007 and July 2017.

QIA was measured with machine learning-based tools as a percentage of lung volume on a CT scan. QIA progression was assessed using the participants’ QIA measurements at baseline and five-year follow-up CT exams.

Statistical analyses revealed that participants in the highest quartile of QIA progression had more frequent acute respiratory disease and severe acute respiratory disease events than those in the lowest quartile.

“Severe acute respiratory disease events may be a sign of disease activity and a source of morbidity at the earliest stages of lung tissue injury,” she said. “Some people with QIA progression may merit more aggressive monitoring and earlier intervention.”

For more information: www.rsna.org

Reference: “Association of Acute Respiratory Disease Events with Quantitative Interstitial Abnormality Progression at CT in Individuals with a History of Smoking,https://doi.org/10.1148/radiol.231801


Related Content

News | Pediatric Imaging

June 13, 2024 — Cervical spine injuries in children are relatively rare but can have serious consequences, like ...

Time June 13, 2024
arrow
News | Neuro Imaging

June 12, 2024 — Brainet, a developer of cutting-edge diagnostic tools for assessing brain health, and SimonMed Imaging ...

Time June 12, 2024
arrow
News | SPECT-CT

June 11, 2024 — A newly developed radiotracer can generate high quality and readily interpretable images of cardiac ...

Time June 11, 2024
arrow
News | PET Imaging

June 11, 2024 — A new ultra-high-performance brain PET system allows for the direct measurement of brain nuclei as never ...

Time June 11, 2024
arrow
News | Artificial Intelligence

June 11, 2024 — A new study led by researchers at Emory AI.Health, published in the Journal of Computers in Medicine and ...

Time June 11, 2024
arrow
News | Digital Radiography (DR)

June 6, 2024 — In a landmark study, the latest in technology innovation by Konica Minolta Healthcare was used to develop ...

Time June 06, 2024
arrow
News | Radiology Business

June 5, 2024 — A new Harvey L. Neiman Health Policy Institute study found that from 2014 to 2023 the number of medical ...

Time June 05, 2024
arrow
News | Artificial Intelligence

June 5, 2024 — Nano-X Imaging, an innovative medical imaging technology company, today announced that its deep-learning ...

Time June 05, 2024
arrow
News | Radiology Imaging

June 5, 2024 — RadiologyInfo.org, a leading source of medical imaging information for the general public, has introduced ...

Time June 05, 2024
arrow
News | Breast Imaging

June 4, 2024 — Using artificial intelligence (AI), breast radiologists in Denmark have improved breast cancer screening ...

Time June 04, 2024
arrow
Subscribe Now