Skip to main content

Advertisement

SpringerLink
Log in

ASO Visual Abstract: Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer

  • ASO Visual Abstract
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Acknowledgments

This work was supported by Shandong Provincial Natural Science Foundation, China (No. ZR2021MH001)

Author information

Authors and Affiliations

  1. Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People’s Republic of China

    Hao Zhong MD, Xiaodong Liu MD, Yulong Tian MD, Shougen Cao MD, Zequn Li MD, Zhenlong Han MD, Gan Liu MD, Yuqi Sun MD, Cheng Meng MD & Yanbing Zhou MD, PhD

  2. Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People’s Republic of China

    Tongyu Wang MD, Qinglian Ji MD & Dapeng Hao MD

  3. Department of Pathology, Qingdao University Affiliated Qingdao Women and Children’s Hospital, Qingdao, Shandong, People’s Republic of China

    Mingyu Hou MD

  4. Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People’s Republic of China

    Yujun Li MD & Yanxia Jiang MD

  5. Department of Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, People’s Republic of China

    Zimin Liu MD

Authors
  1. Hao Zhong MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tongyu Wang MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mingyu Hou MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xiaodong Liu MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yulong Tian MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Shougen Cao MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Zequn Li MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Zhenlong Han MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Gan Liu MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Yuqi Sun MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Cheng Meng MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Yujun Li MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Yanxia Jiang MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Qinglian Ji MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Dapeng Hao MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Zimin Liu MD
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Yanbing Zhou MD, PhD
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yanbing Zhou MD, PhD.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhong, H., Wang, T., Hou, M. et al. ASO Visual Abstract: Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer. Ann Surg Oncol 31, 812–813 (2024). https://doi.org/10.1245/s10434-023-14544-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1245/s10434-023-14544-7

Search

Navigation