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Featured
Chest X-Rays Predict Adverse Outcomes in COVID-19 Pneumonia Patients
Shadi Ebrahimian, MD, and Mannudeep K. Kalra, MD, DNB, of the Department of Radiology in collaboration with the Center for Clinical Data Science, determined that whether assessed by artificial intelligence or RALE score, chest X-rays can predict mortality and the need for mechanical ventilation in patients with COVID-19 pneumonia.
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Artificial Intelligence Model for Labeling Chest X-Rays Allows Balance of Accuracy, Efficiency
Massachusetts General Hospital researchers have devised an artificial intelligence system for automatic labeling of chest X-rays in which the user can specify a tradeoff between accuracy and efficiency. This innovation might reduce the need for labor-intensive manual labeling of very large datasets by human experts.
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Automated Deep Learning Accurately Assesses Muscle and Fat Tissue on Routine Chest CT
Massachusetts General Hospital researchers created a fully automated deep learning system to quantify and characterize muscle and adipose tissue on CT scans at multiple thoracic vertebral levels. The system is as accurate as human analysts on routine CT scans, regardless of intravenous contrast.
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Polygenic Risk Score Identifies Individuals at Risk of Thoracic Aortic Aneurysm
James P. Pirruccello, MD, Patrick T. Ellinor, MD, PhD, Mark Lindsay, MD, PhD, and colleagues used artificial intelligence to reveal the genetic basis of aortic size variation, then built a polygenic risk score that predicted future risk of thoracic aortic aneurysm. Their findings may also point to new therapeutic targets.
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Endobronchial Optical Coherence Tomography Aids Diagnosis of Interstitial Lung Disease
Researchers from the Division of Pulmonary and Critical Care Medicine and Department of Pathology found in a prospective study that endobronchial optical coherence tomography, a minimally invasive, real-time imaging modality, is highly accurate for microscopic diagnosis of interstitial lung disease, notably histopathologic diagnosis of usual interstitial pneumonia in patients with a clinical diagnosis of idiopathic pulmonary fibrosis.
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2018 Guidelines Perform Well for Diagnosis of Idiopathic Pulmonary Fibrosis
Radiologist interpretations of CT scans aligned well with pathologist interpretations of biopsy data when the categorization schemes of the 2018 ATS/ERS/JRS/ALAT and Fleischner Society guidelines for diagnosing idiopathic pulmonary fibrosis were applied in routine practice at Massachusetts General Hospital.
Thoracic Imaging Contributors
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Ashok Muniappan, MD
Thoracic Surgeon, Massachusetts General Hospital, Assistant Professor, Harvard Medical School
Recent Article
Treating Lung Metastases with Image-Guided Ablation
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Efren J. Flores, MD
Officer of Radiology Community Health Improvement and Equity, Massachusetts General Hospital
Recent Article
Strategies to Reduce Missed Appointments in Pediatric Radiology
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Florian J. Fintelmann, MD
Attending Physician-Scientist, Division of Thoracic Imaging and Intervention, Massachusetts General Hospital, Assistant Professor of Radiology, Harvard Medical School
Recent Article
Automated Deep Learning Accurately Assesses Muscle and Fat Tissue on Routine Chest CT
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Kathryn A. Hibbert, MD
Director, Medical Intensive Care Unit, Massachusetts General Hospital, Physician, Division of Pulmonary and Critical Care Medicine, Instructor in Medicine, Harvard Medical School
Recent Article
Imaging Can Identify Early Lung Disease in People with HIV
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Michael Lanuti, MD
Director, Thoracic Oncology, Division of Thoracic Surgery, Massachusetts General Hospital, Associate Professor, Harvard Medical School
Recent Article
Treating Lung Metastases with Image-Guided Ablation
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Peter Caravan, PhD
Co-director, Institute for Innovation in Imaging, Massachusetts General Hospital, Associate Professor of Radiology, Harvard Medical School
Recent Article
Translational Research in Radiology: the Clinical Potential of Molecular Imaging of Pulmonary Fibrosis
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Udo Hoffmann, MD
Director, Cardiac MR PET CT Program, Mass General, Division Chief, Cardiovascular Imaging, Mass General, Professor of Radiology, HMS
Recent Article
Discordance Across High-Sensitivity Troponin Assays Can Affect Management of Suspected ACS
Mass General Imaging
For over 100 years, the Department of Radiology at Massachusetts General Hospital has pioneered imaging technology to improve human health. Today, our researchers develop powerful new ways to diagnose and treat many diseases. From the lab to the clinic, our community of radiologists and researchers brings advances directly to our patients.