Multicenter Study Examines Imaging of Patients with COVID-19 Infections
In a recently published study involving hospitalized patients with COVID-19, researchers compared chest CT findings of vaccinated, partially vaccinated, and unvaccinated patients.
Chest computed tomography (CT) findings of hospitalized patients with COVID-19 revealed that unvaccinated patients were significantly more likely to develop pneumonia in comparison to fully vaccinated patients, according to a new study.
The retrospective multicenter study, recently published in Radiology, involved 761 hospitalized patients with COVID-19 infections, including 587 unvaccinated patients, 127 partially unvaccinated patients and 47 fully vaccinated patients who had breakthrough infections. According to the study, 51 percent of the patients were women, and the mean patient age was 47. Chest CTs revealed pneumonia in 78 percent of unvaccinated patients, 70 percent of partially vaccinated patients and 41 percent of fully vaccinated patients.
“Patients with COVID-19 breakthrough infections had a higher proportion of CT scans without pneumonia compared to unvaccinated patients, and vaccination status was significantly associated with the need for supplemental oxygen and ICU admission,” wrote study co-author Yeon Joo Jeong, M.D., Ph.D, who is affiliated with the Department of Radiology and the Biomedical Research Institute at Pusan National University Hospital in Busan, South Korea, and colleagues.
The prolonged time to heal from pneumonia contributes to long COVID, according to an accompanying editorial by Mark L. Schiebler, M.D., and David A. Bluemke, M.D., Ph.D., who are affiliated with the Department of Radiology at the University of Wisconsin-Madison School of Medicine and Public Health. Citing a separate study involving more than 3,700 patients with COVID-19, they noted that “90% had persistent pulmonary complaints seven months after their initial illness.”
“If seeing is believing, the visual evidence provided by (the authors of the new study) might even help to strengthen the hand of public health officials still working to overcome the problem of vaccine hesitancy. We can only hope,” wrote Drs. Schiebler and Bluemke.
Jeong and colleagues said their research provides comparable imaging and clinical characteristics of breakthrough COVID-19 infections that have not been clearly detailed in previous literature.
They conceded limitations with the study, including a small sample size of fully vaccinated patients and a lack of data on SARS-CoV-2 variants at the time of the study.
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.
