Picture this: Your doctor orders an imaging test like a chest X-ray in preparation for an upcoming procedure, and the results show a small white spot in the center of your lungs—a pulmonary or lung ...

When screening patients for lung cancer with low-dose computed tomography (CT), raising the nodule size threshold from 5 mm to 7 or 8 mm before starting a more intensive workup could result in fewer ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

A solitary pulmonary nodule (SPN) is an isolated lung growth surrounded by normal tissue. Most SPNs are benign (not cancerous) when they're diagnosed. However, some nodules that enlarge and change ...

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...

A risk prediction model developed using clinical and radiological features could stratify individuals presenting with a lung nodule as having high or low risk for lung cancer. The study is published ...

Please provide your email address to receive an email when new articles are posted on . Researchers did not find noninferiority when comparing less with more intensive module surveillance. They also ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. A greater proportion of men vs. women nonsmokers had a ...

BOULDER, Colo.--(BUSINESS WIRE)--Biodesix, Inc. (Nasdaq: BDSX), a leading data-driven diagnostic solutions company with a focus in lung disease, announced today that three data presentations will ...