
X-ray may not be the best imaging tool for detecting novel coronavirus disease (COVID-19). Almost three-quarters of a small cohort of South Korean patients with COVID-19 pneumonia had normal chest x-rays, missing pulmonary nodules that chest CT identified, according to a February 26 study in the Korean Journal of Radiology.
Although chest x-ray has been effective in diagnosing other coronaviruses, such as severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), radiography doesn't seem to be as effective with COVID-19. The new findings further support the argument for using CT to confirm COVID-19 infection, wrote a team led by Dr. Soon Ho Yoon, PhD, of Seoul National University Hospital.
"The proportion of patients with abnormal initial radiographic findings was 78.3% to 82.4% in SARS and 83.6% in MERS, but only 33% in our cases of COVID-19 pneumonia," the authors noted.
The outbreak of the COVID-19 virus has become a global emergency, on par with the outbreaks of SARS in 2003 and MERS in 2012. The first patient with COVID-19 in South Korea was identified on January 20, according to the researchers. The latest numbers from the World Health Organization as of March 2 indicate that there are 4,212 cases in the country, with 22 fatalities.
For the study, Yoon's group assessed image data from nine patients infected with COVID-19 who underwent chest x-ray and CT scans. Two radiologists interpreted the exams, checking whether abnormal findings on x-ray corresponded with those on CT.
They found that three of the nine patients (33%) had parenchymal abnormalities on chest x-ray, and most of these were peripheral consolidations. However, chest CT images showed double lung involvement in eight of the nine patients. In fact, a total of 77 pulmonary lesions were identified on chest CT in the patient cohort; of these, 39% were patchy lesions, 13% were large confluent lesions, and 48% were small nodular lesions. In 78% of these CT-identified lesions, peripheral lung fields were involved, while in 67%, posterior lung fields were involved.
Although the study highlights x-ray's limitations in diagnosing COVID-19, the authors did acknowledge that their patient cohort size was one of the research's limitations.
"The included patients only accounted for approximately one-third of all 29 identified patients of COVID-19 in Korea as of February 16, 2020," the group wrote. "Including more patients would enable a more comprehensive description of radiologic findings of COVID-19. However, we weighed this consideration against the importance of urgent reporting."
Since most of the pulmonary lesions identified on chest CT weren't clear on chest x-ray, it's important that radiologists be up to date on what to look for on CT, according to the team.
"Clinicians and radiologists should become familiar with the CT findings of COVID-19 and the limitations of chest radiographs in evaluating pneumonia to manage the COVID-19 outbreak," the group concluded.







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![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)