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ORIGINAL RESEARCH article

Front. Surg., 26 August 2022
Sec. Surgical Oncology
Volume 9 - 2022 | https://doi.org/10.3389/fsurg.2022.973523
This article is part of the Research Topic Methods in Surgical Oncology View all 34 articles

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

Retracted

A retraction of this article was approved in:

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

    1. Read retraction
\r\nBo Yan,Bo Yan1,2Yuanyuan Chang,Yuanyuan Chang1,2Yifeng JiangYifeng Jiang3Yuan LiuYuan Liu4Junyi Yuan Junyi Yuan5*Rong Li, \r\nRong Li1,2*
  • 1Clinical Research Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 2Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 3Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 4Department of Statistics Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 5Department 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This article has been retracted.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.

Citation: Yan B, Chang Y, Jiang Y, Liu Y, Yuan J and Li R (2022) 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: 8 August 2022;
Published: 26 August 2022;
Retracted: 13 October 2023.

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

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

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