A novel model for predicting postoperative liver metastasis in R0 resected pancreatic neuroendocrine tumors: integrating computational pathology and deep learning-radiomics-Reference-Cited by-同舟云学术

A novel model for predicting postoperative liver metastasis in R0 resected pancreatic neuroendocrine tumors: integrating computational pathology and deep learning-radiomics

Published:2024-08-14 Issue:1 Volume:22 Page:
ISSN:1479-5876
Container-title:Journal of Translational Medicine
language:en
Short-container-title:J Transl Med

Author:

Ma Mengke^ORCID,Gu Wenchao,Liang Yun,Han Xueping,Zhang Meng,Xu Midie,Gao Heli,Tang Wei,Huang Dan

Funder

Shanghai Engineering Research Center of Artificial Intelligence Technology for Neoplastic Diseases

Clinical Research Special Project of Shanghai Municipal Health Commission

JSPS KAKENHI

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s12967-024-05449-4.pdf

Reference33 articles.

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2. Ito T, Igarashi H, Nakamura K, Sasano H, Okusaka T, Takano K, et al. Epidemiological trends of pancreatic and gastrointestinal neuroendocrine tumors in Japan: a nationwide survey analysis. J Gastroenterol. 2015;50:58–64. https://doi.org/10.1007/s00535-014-0934-2.

3. Kaslow SR, Hani L, Cohen SM, Wolfgang CL, Sacks GD, Berman RS, et al. Outcomes after primary tumor resection of metastatic pancreatic neuroendocrine tumors: an analysis of the National Cancer Database. J Surg Oncol. 2023;128:262–70. https://doi.org/10.1002/jso.27280.

4. Frilling A, Modlin IM, Kidd M, Russell C, Breitenstein S, Salem R et al. Recommendations for management of patients with neuroendocrine liver metastases. Lancet Oncol 15: e8-e21, 2014.https://doi.org/10.1016/S1470-2045(13)70362-0.

5. Chu QD, Hill HC, Douglass HO Jr., Driscoll D, Smith JL, Nava HR, et al. Predictive factors associated with long-term survival in patients with neuroendocrine tumors of the pancreas. Ann Surg Oncol. 2002;9:855–62. https://doi.org/10.1007/BF02557521.