Pulmonary nodules are small, round opacities detected on imaging, often incidentally during chest CT scans performed for unrelated reasons. While most nodules are benign, some may represent early lung cancer, making structured evaluation critical. Pulmonary nodule follow-up involves balancing the need for timely detection of malignancy with the avoidance of unnecessary invasive procedures. Factors such as nodule size, shape, density, and patient risk profile inform the selection of surveillance intervals or additional diagnostic steps. Guidelines recommend periodic imaging to monitor growth, with biopsy or advanced imaging reserved for nodules with suspicious features.
Advances in imaging technology and artificial intelligence are improving the precision of nodule assessment, helping clinicians better stratify risk. Low-dose CT scanning offers enhanced resolution with minimal radiation exposure, enabling safe long-term surveillance. For patients, clear communication about the purpose of follow-up reduces anxiety and promotes adherence to monitoring schedules. Multidisciplinary collaboration between radiologists, pulmonologists, and thoracic surgeons ensures that management is individualized. Early and careful follow-up improves the chances of detecting malignant transformation at a curable stage while minimizing harm from unnecessary interventions, reinforcing the importance of structured surveillance strategies in lung health.
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Yazdan Mirzanejad, University of British Columbia, Canada
Title :
Saurabh Chattopadhyay, University of Kentucky, United States
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Alizaman Sadigov, Medical University, United States
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Bernd Blobel, University of Regensburg, Germany
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Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Advancements in pulmonology and respiratory care through the view of Personalized and Precision Medicine (PPM) and biodesign-driven translational applications
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation