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

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 withou...

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Main Authors: Lu Wang, Dawei Yang, Lin Tong, Yuanlin Song, Chunxue Bai
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2022-12-01
Series:Clinical eHealth
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2588914122000235
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author Lu Wang
Dawei Yang
Lin Tong
Yuanlin Song
Chunxue Bai
author_facet Lu Wang
Dawei Yang
Lin Tong
Yuanlin Song
Chunxue Bai
author_sort Lu Wang
collection DOAJ
description 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.
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spelling doaj.art-3f7b62566f7e4053b7b8c5918591d4792023-01-27T04:20:38ZengKeAi Communications Co., Ltd.Clinical eHealth2588-91412022-12-015106108A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cellsLu Wang0Dawei Yang1Lin Tong2Yuanlin Song3Chunxue Bai4Department 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, ChinaDepartment 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, ChinaDepartment 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, ChinaDepartment 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.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.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.http://www.sciencedirect.com/science/article/pii/S2588914122000235Circulating abnormal cells (CACs)Artificial intelligence (AI)Lung cancer
spellingShingle Lu Wang
Dawei Yang
Lin Tong
Yuanlin Song
Chunxue Bai
A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells
Clinical eHealth
Circulating abnormal cells (CACs)
Artificial intelligence (AI)
Lung cancer
title A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells
title_full A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells
title_fullStr A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells
title_full_unstemmed A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells
title_short A 68-year-old female with pulmonary nodules harboring 341 circulating abnormal cells
title_sort 68 year old female with pulmonary nodules harboring 341 circulating abnormal cells
topic Circulating abnormal cells (CACs)
Artificial intelligence (AI)
Lung cancer
url http://www.sciencedirect.com/science/article/pii/S2588914122000235
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