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Chest Tomosynthesis Shows Promise for Early Cancer Detection
Digital chest tomosynthesis used as a screening tool for lung cancer shows comparable rates of detection to low-dose CT.
Digital chest tomosynthesis (DT) detected a comparable number of noncalcified lung nodules as low-dose CT during lung cancer screening, according to a study published in the Journal of Thoracic Oncology.
Italian researchers conducted a single-arm observational study comparing the use of DT with CT in a population that was at risk for developing lung cancer. From December 2010 to December 2011, 1,843 patients were enrolled from an initial group of 1,919 candidates. They ranged in age from 48 to 73, with a mean age of 61. Seventy-seven percent were current smokers; the remaining had a history of at least 20-pack years, without malignancy in the previous five years before the study. DT was performed at baseline and again one year later.
The researchers found that DT detected pulmonary abnormalities in 268 subjects (14.5 percent) and first-line basal CT was subsequently carried out in 132 subjects (7.2 percent), 68 (4.9 percent) of which were referred for follow-up CT. Positron-emission tomography/CT was performed on 27 individuals (1.46 percent), and lung cancer was detected in 18 (0.98 percent) of them.
The authors concluded that the DT holds promise as use for first-line lung cancer screening, particularly because of its lower cost and the reduction of radiation dosages.
New Study Examines Agreement Between Radiologists and Referring Clinicians on Follow-Up Imaging
November 18th 2024Agreement on follow-up imaging was 41 percent more likely with recommendations by thoracic radiologists and 36 percent less likely on recommendations for follow-up nuclear imaging, according to new research.
FDA Clears Updated AI Platform for Digital Breast Tomosynthesis
November 12th 2024Employing advanced deep learning convolutional neural networks, ProFound Detection Version 4.0 reportedly offers a 50 percent improvement in detecting cancer in dense breasts in comparison to the previous version of the software.
