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Predicting malignant potential of solitary pulmonary nodules in patients with COVID-19 infection: a comprehensive analysis of CT imaging and tumor markers

Crossref DOI link: https://doi.org/10.1186/s12879-024-09952-3

Published Online: 2024-09-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xiao, Huijuan

Liu, Yihe

Liang, Pan

Hou, Ping

Zhang, Yonggao

Gao, Jianbo
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Text and Data Mining valid from 2024-09-27

Version of Record valid from 2024-09-27
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Article History

Received: 18 August 2024

Accepted: 17 September 2024

First Online: 27 September 2024

Declarations

:

: This study was approved bythe Research Ethics Committee (REC) of Zhengzhou University under the ID number (2022-KY-0961-002). Methods used complied with all relevant ethical guidelines and regulations. Informed consent to participate was obtained from all of the participants in the study.

: The authors declare no competing interests.

: The combined diagnosis of CT imaging and tumor markers can effectively overcome the limitations of a single examination, which is conducive to more accurately identifying the differential diagnosis of SPNs. Nomograms can enable clinicians to make individualized, visual, and precise predictions of the malignancy probability of solitary pulmonary nodules. Well-structured data is crucial for assisting healthcare professionals in identifying cancer patients and improving pandemic outcomes.

: Not applicable.

: The authors declare no conflicts of interest.

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