Skip to main content
Log in

Reply to: Letter to Editor Regarding Article “A Machine Learning Approach to Predict Postoperative Pancreatic Fistula after Pancreaticoduodenectomy Using Only Preoperatively Known Data” by Yang, Yanfei et al.

  • Pancreatic Tumors
  • 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

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

Instant access to the full article PDF.

References

  1. Watanabe G, Ishizawa T, Kuriki Y, et al. Evaluation of pancreatic chymotrypsin activity for on-site prediction of clinically relevant postoperative pancreatic fistula. Pancreatology. 2024;24(1):169–77. https://doi.org/10.1016/j.pan.2023.11.017.

    Article  CAS  PubMed  Google Scholar 

  2. Sakamoto T, Yagyu Y, Uchinaka EI, et al. Predictive significance of C-reactive protein-to-albumin ratio for postoperative pancreatic fistula after pancreaticoduodenectomy. Anticancer Res. 2019;39(11):6283–90. https://doi.org/10.21873/anticanres.13838.

    Article  CAS  PubMed  Google Scholar 

  3. Ashraf Ganjouei A, Romero-Hernandez F, Wang JJ, et al. A machine learning approach to predict postoperative pancreatic fistula after pancreaticoduodenectomy using only preoperatively known data. Ann Surg Oncol. 2023;30(12):7738–47. https://doi.org/10.1245/s10434-023-14041-x.

    Article  PubMed  Google Scholar 

  4. Yamamoto Y, Sakamoto Y, Nara S, Esaki M, Shimada K, Kosuge T. A preoperative predictive scoring system for postoperative pancreatic fistula after pancreaticoduodenectomy. World J Surg. 2011;35(12):2747–55. https://doi.org/10.1007/s00268-011-1253-x.

    Article  PubMed  Google Scholar 

  5. PARANOIA Study Group, Writing committee, Pande R, et al. External validation of postoperative pancreatic fistula prediction scores in pancreatoduodenectomy: a systematic review and meta-analysis. HPB. 2022;24(3):287–98. https://doi.org/10.1016/j.hpb.2021.10.006.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohamed A. Adam MD.

Ethics declarations

Disclosures

The authors declare no conflict of interest.

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

Ashraf Ganjouei, A., Wang, J., Alseidi, A. et al. Reply to: Letter to Editor Regarding Article “A Machine Learning Approach to Predict Postoperative Pancreatic Fistula after Pancreaticoduodenectomy Using Only Preoperatively Known Data” by Yang, Yanfei et al.. Ann Surg Oncol (2024). https://doi.org/10.1245/s10434-024-15240-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1245/s10434-024-15240-w

Navigation