Comment on “a machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria”-Reference-Cited by-同舟云学术

Comment on “a machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria”

Published:2024-07-06 Issue: Volume: Page:
ISSN:1436-3291
Container-title:Gastric Cancer
language:en
Short-container-title:Gastric Cancer

Author:

Irfan Muhammad^ORCID,Fatima Misaal^ORCID,Shehzadi Maryam^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10120-024-01533-2.pdf

Reference5 articles.

1. Kato M, Hayashi Y, Uema R, Kanesaka T, Yamaguchi S, Maekawa A, et al. A machine learning model for predicting the lymph node metastasis of early gastric cancer not meeting the endoscopic curability criteria. Gastric Cancer. 2024. https://link.springer.com/article/https://doi.org/10.1007/s10120-024-01511-8. Accessed 14 Jun 2024.

2. Talebi A, Celis-Morales CA, Borumandnia N, Abbasi S, Pourhoseingholi MA, Akbari A, et al. Predicting metastasis in gastric cancer patients: machine learning-based approaches. Sci Rep. 2023. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10011363/. Accessed 14 Jun 2024.

3. Son T, Hyung WJ, Lee JH, Kim YM, Kim H Il, An JY, et al. Clinical implication of an insufficient number of examined lymph nodes after curative resection for gastric cancer. Cancer. 2012. https://onlinelibrary.wiley.com/doi/full/https://doi.org/10.1002/cncr.27426. Accessed 14 Jun 2024.

4. Im WJ, Kim MG, Ha TK, Kwon SJ. Tumor size as a prognostic factor in gastric cancer patient. J Gastric Cancer. 2012. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3473223/. Accessed 14 Jun 2024.

5. Warneke VS, Behrens HM, Böger C, Becker T, Lordick F, Ebert MPA, et al. Her2/neu testing in gastric cancer: evaluating the risk of sampling errors. Ann Oncol. 2013. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3574551/. Accessed 14 Jun 2024.