ORIGINAL RESEARCH article

Front. Surg., 26 August 2022

Sec. Surgical Oncology

Volume 9 - 2022 | https://doi.org/10.3389/fsurg.2022.973523

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

  • 1. Clinical Research Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

  • 2. Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

  • 3. Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

  • 4. Department of Statistics Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

  • 5. Department of Information Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

This article has been retracted. Please follow the link to the full retraction notice for details.

Summary

Citation

Yan B, Chang Y, Jiang Y, Liu Y, Yuan J and Li R (2022) RETRACTED: A predictive model based on ground glass nodule features via high-resolution CT for identifying invasiveness of lung adenocarcinoma. Front. Surg. 9:973523. doi: 10.3389/fsurg.2022.973523

Received

20 June 2022

Accepted

08 August 2022

Published

26 August 2022

Volume

9 - 2022

Edited by

Boris Gala-Lopez, Dalhousie University, Canada

Reviewed by

Song Xu, Tianjin Medical University General Hospital, China Einar Kristiansen, Oslo University Hospital, Norway Samuel Smith, University of New South Wales, Australia Ke Zhao, Huazhong Uniersity of Science and Technology, China

Updates

Specialty Section: his article was submitted to Surgical Oncology, a section of the journal Frontiers in Surgery

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.

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