Machine learning-based model for prediction and feature analysis of recurrence in pancreatic neuroendocrine tumors G1/G2.
Murakami M, Fujimori N, Nakata K, Nakamura M, Hashimoto S, Kurahara H, Nishihara K, Abe T, Hashigo S, Kugiyama N, Ozawa E, Okamoto K, Ishida Y, Okano K, Takaki R, Shimamatsu Y, Ito T, Miki M, Oza N, Yamaguchi D, Yamamoto H, Takedomi H, Kawabe K, Akashi T, Miyahara K, Ohuchida J, Ogura Y, Nakashima Y, Ueki T, Ishigami K, Umakoshi H, Ueda K, Oono T, Ogawa Y.
Murakami M, et al.
J Gastroenterol. 2023 Jun;58(6):586-597. doi: 10.1007/s00535-023-01987-8. Epub 2023 Apr 26.
J Gastroenterol. 2023.
PMID: 37099152
BACKGROUND: Pancreatic neuroendocrine neoplasms (PanNENs) are a heterogeneous group of tumors. ...We evaluated the clinical characteristics of 371 patients with localized non-functioning pancreatic neuroendocrine tumors (G1/G2). We also c …
BACKGROUND: Pancreatic neuroendocrine neoplasms (PanNENs) are a heterogeneous group of tumors. ...We evaluated the clin …