Article

Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using 18 F-FDG PET/CT

2022-02-21

Abstract excerpt

<h4>Purpose: </h4> To develop a clinical-radiomics nomogram by incorporating radiomics score and clinical predictors for preoperative prediction of microvascular invasion in hepatocellular carcinoma. <h4>Methods: </h4> A total of 97 HCC patients were retrospectively enrolled from Shanghai Universal Medical Imaging Diagnostic Center and Changhai Hospital Affiliated to the Second Military Medical University. 909 CT...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: dfbcd1d4-39de-508b-bd3a-34647f5c22cd
DOI: 10.21203/rs.3.rs-1357220/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Preoperative clinical-radiomics nomogram for microvascular invasion prediction in hepatocellular carcinoma using 18 F-FDG PET/CTDOI 10.21203/rs.3.rs-1357220/v1Read

A radiomics nomogram for prediction of overall survival in hepatocellular carcinoma after hepatectomySemantic proximity Read

CT Radiomics Nomogram for the Preoperative Prediction of Severe Post-Hepatectomy Liver Failure in Patients with Huge (≥10 cm) Hepatocellular CarcinomaSemantic proximity Read

Non-invasive Radiomics Model for Preoperative Prediction of Dual-phenotype Hepatocellular Carcinoma Based on CT DataSemantic proximity Read

A Simple Nomogram Developed for Predicting HCC Metastasis Based on microRNAsSemantic proximity Read

Computed tomography-based radiomics nomogram for the pre-operative prediction of BRAF mutation and clinical outcomes in patients with colorectal cancer: a double-center study.Semantic proximity Read

A Simple Nomogram Developed for Predicting HCC Metastasis Based on Micrornas Semantic proximity Read

Radiomics Features of <sup>18</sup>F-fluorodeoxyglucose Positron-Emission Tomography as a Novel Prognostic Signature in Colorectal CancerSemantic proximity Read

Machine Learning Model Integrating Clinical Features, CT Radiomics, and Transfer Learning for Predicting Aggressive Recurrence of Hepatocellular CarcinomaSemantic proximity Read

Identification of a Vascular Invasion-Related miRNA Signature For Predicting the Prognosis of Hepatocellular CarcinomaSemantic proximity Read

Identification of 3-miRNA Signature for Predicting Prognosis in Patients with Hepatocellular CarcinomaSemantic proximity Read

A radiomics and genomics-derived model for predicting metastasis and prognosis in colorectal cancerSemantic proximity Read

Preoperative prediction of KRAS mutation status in colorectal cancer using a CT-based radiomics nomogram.Semantic proximity Read