Prognostic value of CT-based radiomics in grade 1-2 pancreatic neuroendocrine tumors.

Subin HeoHyo Jung ParkHyoung Jung KimJung Hoon KimSeo Young ParkKyung Won KimSo Yeon KimSang Hyun ChoiJae Ho ByunSong Cheol KimHee Sang HwangSeung Mo Hong

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2024)

Our CR-model outperformed the current clinical staging system in prediction of the prognosis for G1-2 PanNETs and added incremental value for predicting postoperative recurrence. The CR-model enables precise identification of high-risk patients, guiding personalized treatment planning to improve outcomes in surgically resected grade 1-2 PanNETs.

Keyphrases

neuroendocrine tumors
end stage renal disease
lymph node
prognostic factors
ejection fraction
newly diagnosed
chronic kidney disease
contrast enhanced
patients undergoing
squamous cell carcinoma
magnetic resonance
lymph node metastasis
metabolic syndrome
image quality
patient reported
skeletal muscle
weight loss