A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells

Lu Wang; Dawei Yang; Lin Tong; Yuanlin Song; Chunxue Bai

Clinical eHealth (Dec 2022)

A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells

Lu Wang,
Dawei Yang,
Lin Tong,
Yuanlin Song,
Chunxue Bai

Affiliations

Lu Wang: Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China; Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai, China
Dawei Yang: Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China; Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai, China; Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
Lin Tong: Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China; Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai, China; Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
Yuanlin Song: Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China; Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai, China; Shanghai Institute of Infectious Disease and Biosecurity, Shanghai, China; Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China; Corresponding authors at: Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Chunxue Bai: Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China; Shanghai Engineering Research Center of Internet of Things for Respiratory Medicine, Shanghai, China; Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai, China; Shanghai Institute of Infectious Disease and Biosecurity, Shanghai, China; Corresponding authors at: Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China.

Journal volume & issue: Vol. 5
pp. 106 – 108

Abstract

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Background: Early diagnosis and treatment are key to improving survival and prognosis of patients with lung cancer. Liquid biopsy and artificial intelligence (AI) can help diagnose early lung cancer. Case presentation: We present a 68-year-old female with a family history of pulmonary nodules without smoking history who found multiple nodules in the lungs on physical examination. Malignant lung nodules were diagnosed based on AI evaluation and 341 circulating abnormal cells (CACs). Surgical resection confirmed the diagnosis of pulmonary adenocarcinoma and the CACs decreased to 151 at postoperative follow-up in one month and to 54 six months after surgery. Conclusion: CACs helps to improve the accuracy of AI diagnosis of early lung cancer and the prognosis of patients with lung cancer at follow-up.

Published in Clinical eHealth

ISSN: 2588-9141 (Online)
Publisher: KeAi Communications Co., Ltd.
Country of publisher: China
LCC subjects: Medicine
Website: https://www.keaipublishing.com/en/journals/clinical-ehealth/

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