LOW DOSE COMPUTER TOMOGRAPHY BY “LUNG-RADS” TOOL FOR SCREENING AND EARLY LUNG CANCER DETECTING | Ngọc | TNU Journal of Science and Technology

LOW DOSE COMPUTER TOMOGRAPHY BY “LUNG-RADS” TOOL FOR SCREENING AND EARLY LUNG CANCER DETECTING

About this article

Received: 14/08/21                Revised: 30/10/21                Published: 30/10/21

Authors

1. Tran Bao Ngoc Email to author, TNU – University of Medicine and Pharmacy
2. Nguyen Thi Phuong Lan, TNU – University of Medicine and Pharmacy

Abstract


A pulmonary nodule is defined as a rounded or irregular opacity, well or poorly defined, measuring up to 3 cm in diameter. Early detection the malignancy of nodules has a significant role in decreasing the mortality, increasing the survival time and consider as early diagnosis lung cancer. Screening individuals with high risk of lung cancer by low dose CT scans could reduce lung cancer mortality by 20 percent compared to chest X-ray. Radiation dose has to maximum reduced but respect the rule of ALARA (As Low as Resonably Archivable). Classification of American College of Radiology, LungRADS, is a newly application but showed many advantages in comparison with other classification such as increasing positive predict value, no result of false negative and cost effectiveness. This article reviews several new advances in diagnosis and monitoring of pulmonary opacities that have been applied around the world as well as in Vietnam.

Keywords


LungRADS; Screening lung nodule; Low dose CT; Lung cancer; Early detecting

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DOI: https://doi.org/10.34238/tnu-jst.4892

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