Sign Up to like & get
recommendations!
0
Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-08198-w
Abstract: We aimed to develop and validate a deep convolutional neural network (DCNN) model for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) and its clinical outcomes using contrast-enhanced computed tomography (CECT) in a…
read more here.
Keywords:
preoperative prediction;
combined nomogram;
validation;
clinical outcomes ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "European Radiology"
DOI: 10.1007/s00330-022-08703-9
Abstract: This study aimed to develop and validate a combined nomogram model based on deep learning (DL) contrast-enhanced ultrasound (CEUS) and clinical factors to preoperatively predict the aggressiveness of pancreatic neuroendocrine neoplasms (PNENs). In this retrospective…
read more here.
Keywords:
combined nomogram;
nomogram model;
aggressiveness pancreatic;
model ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2018 at "Clinical Cancer Research"
DOI: 10.1158/1078-0432.ccr-18-1305
Abstract: Purpose: The purpose of this study is to develop and validate a nomogram model combing radiomics features and clinical characteristics to preoperatively differentiate grade 1 and grade 2/3 tumors in patients with pancreatic neuroendocrine tumors…
read more here.
Keywords:
combined nomogram;
pancreatic neuroendocrine;
grade;
nomogram model ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.916526
Abstract: Objective To explore the value of a predictive model combining the multiparametric magnetic resonance imaging (mpMRI) radiomics score (RAD-score), clinicopathologic features, and morphologic features for the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in…
read more here.
Keywords:
rad score;
nomogram model;
model;
combined nomogram ... See more keywords