Managing Persistent Subsolid Nodules in Lung Cancer: Education, Decision Making, and Impact of Interval Growth Patterns

Author:

Liu Yung-Chi123,Liang Chia-Hao4,Wu Yun-Ju56,Chen Chi-Shen7,Tang En-Kuei8ORCID,Wu Fu-Zong591011ORCID

Affiliation:

1. Department of Radiology, Xiamen Chang Gung Hospital, Xiamen 361028, China

2. Department of Imaging Technology Division, Xiamen Chang Gung Hospital, Xiamen 361028, China

3. Department of Healthcare Administration Department, Xiamen Chang Gung Hospital, Xiamen 361028, China

4. Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei 112304, Taiwan

5. Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan

6. Department of Software Engineering and Management, National Kaohsiung Normal University, Kaohsiung 80201, Taiwan

7. Physical Examination Center, Kaohsiung Veterans General Hospital, Kaohsiung 81362, Taiwan

8. Department of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung 813414, Taiwan

9. School of Medicine, College of Medicine, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan

10. Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan

11. Institute of Education, National Sun Yat-Sen University, Kaohsiung 804241, Taiwan

Abstract

With the popularization of lung cancer screening, many persistent subsolid nodules (SSNs) have been identified clinically, especially in Asian non-smokers. However, many studies have found that SSNs exhibit heterogeneous growth trends during long-term follow ups. This article adopted a narrative approach to extensively review the available literature on the topic to explore the definitions, rationale, and clinical application of different interval growths of subsolid pulmonary nodule management and follow-up strategies. The development of SSN growth thresholds with different growth patterns could support clinical decision making with follow-up guidelines to reduce over- and delayed diagnoses. In conclusion, using different SSN growth thresholds could optimize the follow-up management and clinical decision making of SSNs in lung cancer screening programs. This could further reduce the lung cancer mortality rate and potential harm from overdiagnosis and over management.

Funder

Kaohsiung Veterans General Hospital

Publisher

MDPI AG

Subject

Clinical Biochemistry

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