In the published article, the Reference for 5, 11, 27, 28 was incorrectly written as “5. Luo W. Predicting cervical cancer outcomes: statistics, images, and machine learning. Front Artif Intell. (2021) 4:627369. doi: 10.3389/frai.2021.627369
11. Seyfried F, von Rahden BH, Miras AD, Gasser M, Maeder U, Kunzmann V, et al. Incidence, time course and independent risk factors for metachronous peritoneal carcinomatosis of gastric origin–a longitudinal experience from a prospectively collected database of 1108 patients. BMC Cancer. (2015) 15:73. doi: 10.1186/s12885- 015-1081-8
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28. Hemodynamic Differences in Intracranial Aneurysms before and after Rupture.”
It should be “5. Wan YL, Wu PW, Huang PC, Tsay PK, Pan KT, Trang NN, et al. The use of artificial intelligence in the differentiation of malignant and benign lung nodules on computed tomograms proven by surgical pathology. Cancers (Basel). (2020) 12:2211. doi: 10.3390/cancers12082211.
11. Yotsukura M, Asamura H, Motoi N, Kashima J, Yoshida Y, Nakagawa K, et al. Long-term prognosis of patients with resected adenocarcinoma in situ and minimally invasive adenocarcinoma of the lung. J Thorac Oncol. (2021) 16:1312-20. doi: 10.1016/j.jtho.2021.04.007.
27. Ye T, Wu H, Wang S, Li Q, Gu Y, Ma J, et al. Radiologic identification of pathologic tumor invasion in patients with lung adenocarcinoma. JAMA Netw Open. (2023) 6:e2337889. doi: 10.1001/jamanetworkopen.2023.37889.
28. Chang GC, Chiu CH, Yu CJ, Chang YC, Chang YH, Hsu KH, et al. Low-dose CT screening among never-smokers with or without a family history of lung cancer in Taiwan: a prospective cohort study. Lancet Respir Med. (2024) 12:141-52. doi: 10.1016/S2213-2600(23)00338-7.”
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Statements
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
lung, pure ground-glass nodule, identification, nomogram, CT, AI, quantitative parameters, benignity
Citation
Chen S, Zhang H, Chen Y, Chen S, Cao W and Tong Y (2025) Corrigendum: Differentiation of early-stage tumors from benign lesions manifesting as pure ground-glass nodule: a clinical prediction study based on AI-derived quantitative parameters. Front. Oncol. 15:1631465. doi: 10.3389/fonc.2025.1631465
Received
19 May 2025
Accepted
20 May 2025
Published
03 June 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
15 - 2025
Updates
Copyright
© 2025 Chen, Zhang, Chen, Chen, Cao and Tong.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Shuxiang Chen, 527336100@qq.com
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.