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RETRACTION article

Front. Surg., 13 October 2023
Sec. Surgical Oncology
Volume 10 - 2023 | https://doi.org/10.3389/fsurg.2023.1307339
This article is part of the Research Topic Methods in Surgical Oncology View all 34 articles

Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma

This article is a retraction of:

  1. RETRACTED: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma

    1. Read original article
\r\nFrontiers Editorial Office \r\nFrontiers Editorial Office*

A Retraction of the Original Research Article

A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma

By Yan B, Chang Y, Jiang Y, Liu Y, Yuan J and Li R. (2022). Front. Surg. 9:973523. doi: 10.3389/fsurg.2022.973523

The journal and Chief Editors retract the 26 August 2022 article cited above.

This article is retracted by Frontiers. The publisher has discovered that the authors provided false information for the peer-review process. As the scientific integrity of the article cannot be guaranteed, and adhering to the recommendations of the Committee on Publication Ethics (COPE), the publisher therefore retracts the article.

The authors have not responded to this retraction.

This retraction was approved by the Chief Editors of Frontiers in Surgery and the Chief Executive Editor of Frontiers.

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.

Citation: Frontiers Editorial Office (2023) Retraction: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma. Front. Surg. 10:1307339. doi: 10.3389/fsurg.2023.1307339

Received: 4 October 2023; Accepted: 4 October 2023;
Published: 13 October 2023.

Approved by: Dennis Paul Orgill, Harvard Medical School, United States

© 2023 Frontiers Editorial Office. 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: Frontiers Editorial Office research.integrity@frontiersin.org

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.