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Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm
by
Zheng, Ruiying
, Xie, Xiaoyan
, Huang, Guangliang
, Li, Shurong
, Zhang, Xiaoer
, Zhang, Yi
, Shen, Hui
, Liu, Baoxian
in
Carcinoma, Hepatocellular - pathology
/ Contrast Media - pharmacology
/ Decision making
/ Diagnostic Radiology
/ Effectiveness
/ Gadolinium
/ Gadolinium DTPA - pharmacology
/ Hepatocellular carcinoma
/ Humans
/ Image enhancement
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Liver cancer
/ Liver Neoplasms - pathology
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Microvasculature
/ Neuroradiology
/ Patients
/ Performance prediction
/ Prediction models
/ Radiology
/ Radiomics
/ Retrospective Studies
/ Risk assessment
/ Ultrasonic imaging
/ Ultrasound
2023
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Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm
by
Zheng, Ruiying
, Xie, Xiaoyan
, Huang, Guangliang
, Li, Shurong
, Zhang, Xiaoer
, Zhang, Yi
, Shen, Hui
, Liu, Baoxian
in
Carcinoma, Hepatocellular - pathology
/ Contrast Media - pharmacology
/ Decision making
/ Diagnostic Radiology
/ Effectiveness
/ Gadolinium
/ Gadolinium DTPA - pharmacology
/ Hepatocellular carcinoma
/ Humans
/ Image enhancement
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Liver cancer
/ Liver Neoplasms - pathology
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Microvasculature
/ Neuroradiology
/ Patients
/ Performance prediction
/ Prediction models
/ Radiology
/ Radiomics
/ Retrospective Studies
/ Risk assessment
/ Ultrasonic imaging
/ Ultrasound
2023
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Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm
by
Zheng, Ruiying
, Xie, Xiaoyan
, Huang, Guangliang
, Li, Shurong
, Zhang, Xiaoer
, Zhang, Yi
, Shen, Hui
, Liu, Baoxian
in
Carcinoma, Hepatocellular - pathology
/ Contrast Media - pharmacology
/ Decision making
/ Diagnostic Radiology
/ Effectiveness
/ Gadolinium
/ Gadolinium DTPA - pharmacology
/ Hepatocellular carcinoma
/ Humans
/ Image enhancement
/ Imaging
/ Internal Medicine
/ Interventional Radiology
/ Liver cancer
/ Liver Neoplasms - pathology
/ Magnetic resonance imaging
/ Magnetic Resonance Imaging - methods
/ Medical imaging
/ Medicine
/ Medicine & Public Health
/ Microvasculature
/ Neuroradiology
/ Patients
/ Performance prediction
/ Prediction models
/ Radiology
/ Radiomics
/ Retrospective Studies
/ Risk assessment
/ Ultrasonic imaging
/ Ultrasound
2023
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Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm
Journal Article
Comparison of non-radiomics imaging features and radiomics models based on contrast-enhanced ultrasound and Gd-EOB-DTPA-enhanced MRI for predicting microvascular invasion in hepatocellular carcinoma within 5 cm
2023
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Overview
Objectives
The purpose of this study is to establish microvascular invasion (MVI) prediction models based on preoperative contrast-enhanced ultrasound (CEUS) and ethoxybenzyl-enhanced magnetic resonance imaging (EOB-MRI) in patients with a single hepatocellular carcinoma (HCC) ≤ 5 cm.
Methods
Patients with a single HCC ≤ 5 cm and accepting CEUS and EOB-MRI before surgery were enrolled in this study. Totally, 85 patients were randomly divided into the training and validation cohorts in a ratio of 7:3. Non-radiomics imaging features, the CEUS and EOB-MRI radiomics scores were extracted from the arterial phase, portal phase and delayed phase images of CEUS and the hepatobiliary phase images of EOB-MRI. Different MVI predicting models based on CEUS and EOB-MRI were constructed and their predictive values were evaluated.
Results
Since univariate analysis revealed that arterial peritumoral enhancement on the CEUS image, CEUS radiomics score, and EOB-MRI radiomics score were significantly associated with MVI, three prediction models, namely the CEUS model, the EOB-MRI model, and the CEUS-EOB model, were developed. In the validation cohort, the areas under the receiver operating characteristic curve of the CEUS model, the EOB-MRI model, and the CEUS-EOB model were 0.73, 0.79, and 0.86, respectively.
Conclusions
Radiomics scores based on CEUS and EOB-MRI, combined with arterial peritumoral enhancement on CEUS, show a satisfying performance of MVI predicting. There was no significant difference in the efficacy of MVI risk evaluation between radiomics models based on CEUS and EOB-MRI in patients with a single HCC ≤ 5 cm.
Clinical relevance statement
Radiomics models based on CEUS and EOB-MRI are effective for MVI predicting and conducive to pretreatment decision-making in patients with a single HCC within 5 cm.
Key Points
• Radiomics scores based on CEUS and EOB-MRI, combined with arterial peritumoral enhancement on CEUS, show a satisfying performance of MVI predicting.
• There was no significant difference in the efficacy of MVI risk evaluation between radiomics models based on CEUS and EOB-MRI in patients with a single HCC ≤ 5 cm.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
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