Side-by-side images show lung ultrasound pinpoints same findings as low-dose chest CT.
Radiologists can potentially avoid exposing patients suspected of COVID-19 infection to unnecessary radiation. New images reveal findings from a lung ultrasound correlated closely with those of a chest CT.
Published in Intensive Care Medicine, side-by-side images of the two scans reveal both scans identify the same findings and lead to the same diagnosis.
The images came from a 54-year-old man who presented to Hôpital Nord in Marseille, France, with fever, cough, and shortness of breath that had lasted for four days. Both a low-dose chest CT and the RT-PCR test were conducted, resulting in a positive COVID-19 diagnosis. Providers completed a lung ultrasound, as well, after he was admitted to the intensive care unit due to oxygenation failure.
When compared the lung ultrasound and chest CT both reveal similar areas of pulmonary involvement and the pattern of parenchymal disease.
The transverse thoracic CT image shows multi-lobar asymmetric lung lesions with peripheral distribution of ground-glass opacities, consolidation, and crazy pavement pattern. The lung ultrasound images (shown as thumbnails alongside the CT scan) indicate the corresponding areas of A lines (normal aeration pattern), focal and confluent B lines (interstitial pattern), and thickening and irregularity of the pleural line in associated with B line that suggests primary lung injury.
“Lung ultrasonography may be considered a useful alternative to low-dose chest CT for diagnosis and management of COVID-19 given its ease of use, repeatability, reproducibility, absence of radiation, and immediate bedside application that obviates the need to transport the critically ill patient to the CT scanner,” said corresponding author Gary Duclos.
CT Study Reveals Key Indicators for Angiolymphatic Invasion in Non-Small Cell Lung Cancer
January 15th 2025In computed tomography (CT) scans for patients with solid non-small cell lung cancer (NSCLC) < 30 mm, emerging research suggests the lollipop sign is associated with a greater than fourfold likelihood of angiolymphatic invasion.
Multicenter Study Shows Merits of AI-Powered Ultrasound Assessment for Detecting Ovarian Cancer
January 3rd 2025Adjunctive AI offered greater than seven percent increases in sensitivity, specificity, and accuracy for ultrasound detection of ovarian cancer in comparison to unassisted clinicians who lacked ultrasound expertise, according to findings from new international multicenter research.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
Can AI Facilitate Single-Phase CT Acquisition for COPD Diagnosis and Staging?
December 12th 2024The authors of a new study found that deep learning assessment of single-phase CT scans provides comparable within-one stage accuracies to multiphase CT for detecting and staging chronic obstructive pulmonary disease (COPD).