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In a recently published prospective study comparing photon-counting detector computed tomography (PCD CT) versus energy-integrating detector CT (EID CT) in patients with persistent symptoms after COVID-19 infection, researchers found that PCD CT discovered additional lung abnormalities in half of the study participants.
For enhanced image quality and detection of subtle lung abnormalities in people who have had COVID-19 infection, emerging research suggests that photon-counting detector computed tomography (PCD CT) may be superior to conventional CT.
For the prospective study, recently published in Radiology, researchers at a tertiary care university hospital utilized both PCD CT and energy-integrating detector CT (EID CT) in same day assessment of 20 patients (mean age of 54) who presented with a past history of COVID-19, a median involvement of 10 percent of lung volume, 3.5 lobes and persistent symptoms including cough, fatigue, or dyspnea.
While linear bands and ground-glass opacities were the most common findings with EID CT, the researchers said PCD CT uncovered additional lung abnormalities in half of the study cohort. These findings included bronciolectasis (10 of 20 participants) and reticulations (seven of 20 participants), according to the study. The study authors added that PCD CT showed fine reticulations for six participants in areas that had been identified as ground glass opacities by EID CT.
“Photon-counting detector (PCD) CT revealed subtle lung abnormalities in symptomatic participants with persistent COVID-19 symptoms that were not detectable on energy-integrating detector (EID) CT but may be indicative of irreversible fibrosis,” wrote Benedikt H. Heidinger, M.D., who is affiliated with the Department of Biomedical Imaging and Image-Guided Therapy at the Medical University of Vienna in Austria, and colleagues.
(Editor’s note: For related articles, see “Study Says AI Can Enhance Chest CT Assessment of Bronchiectasis in Ever-Smokers” and “Chest CT Study Shows Benefits of COVID-19 Vaccines in Reducing Incidence and Severity of Related Pneumonia.”)
In regard to image quality, the researchers said the reviewing radiologists found that 0.4 mm section thickness for PCD CT images was “definitely better” than 1.0 mm for all of the participants of the study. Heidinger and colleagues noted that 0.4 mm PCD CT found 17 abnormalities in nine patients in comparison to 1.0 mm PCD CT. Yet the use of 1.0 mm PCD CT in comparison to 1.0 mm EID CT revealed five abnormalities in four participants. While noting a significantly higher signal-to-noise (SNR) ratio for 1.0 mm sections of PCD CT in comparison to EID CT, the researchers said the SNR ratio was reduced for 0.2 mm and 0.4 mm sections.
“Our findings suggest that 0.4 mm sections represent a favorable compromise between ultra-high resolution and perceived (and quantitative) image quality, permitting confident detection of subtle lung abnormalities,” added Heidinger and colleagues.
Beyond the small sample size, the study authors said other possible limitations may have included slight variation between EID CT and PCD CT in the use of sharp edge-enhancing CT reconstruction kernels to help detect subtle abnormalities. They acknowledged that false positive findings on PCD CT could not be ruled out due to a lack of histopathological correlation with the study findings. The researchers added that sequential assessment of EID CT and PCD CT images may have contributed to biased views of image quality and may have prevented detection of abnormalities that were only visible on EID CT.