Incidental Pulmonary Nodules – What Do We Know in 2022

医学 肺癌筛查 放射性武器 阶段(地层学) 肺癌 重症监护医学 结核(地质) 临床实习 计算机断层摄影术 放射科 医学物理学 病理 护理部 古生物学 生物
作者
Gerald Schmid-Bindert,Jens Vogel-Claussen,Sylvia Gütz,Joana Fink,Hans Hoffmann,Martin Eichhorn,Felix J.F. Herth
出处
期刊:Respiration [S. Karger AG]
卷期号:: 1-11
标识
DOI:10.1159/000526818
摘要

Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, and early LC diagnosis can significantly improve outcomes and survival rates in affected patients. Implementation of LC screening programs using low-dose computed tomography CT in high-risk subjects aims to detect LC as early as possible, but so far, adoption of screening programs into routine clinical care has been very slow. In recent years, the use of CT has significantly increased the rate of incidentally detected pulmonary nodules. Although most of those incidental pulmonary nodules (IPNs) are benign, some of them represent early-stage LC. Given the large number of IPNs detected in the range of several millions each year, this represents an additional, maybe even larger, opportunity to drive stage shift in LC diagnosis, next to LC screening programs. Comprehensive evaluation and targeted work-up of IPNs are mandatory to identify the malignant nodules from the crowd, and several guidelines provide radiologists and physicians’ guidance on IPN assessment and management. However, IPNs still seem to be inadequately processed due to various reasons including insufficient reporting in the radiological report, missing communication between stakeholders, absence of patient tracking systems, and uncertainty regarding responsibilities for the IPN management. In recent years, several approaches such as lung nodule programs, patient tracking software, artificial intelligence, and communication software were introduced into clinical practice to address those shortcomings. This review evaluates the current situation of IPN management and highlights recent developments in process improvement to achieve first steps toward stage shift in LC diagnosis.
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