AIMC Topic: Elasticity Imaging Techniques

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Integrative multimodal ultrasound and radiomics for early prediction of neoadjuvant therapy response in breast cancer: a clinical study.

BMC cancer Jul 9, 2025
PURPOSE: This study aimed to develop an early predictive model for neoadjuvant therapy (NAT) response in breast cancer by integrating multimodal ultrasound (conventional B-mode, shear-wave elastography, and contrast-enhanced ultrasound) and radiomics...
Aged Adult Breast Neoplasms Radiomics Humans Retrospective Studies Female Neoadjuvant Therapy Multimodal Imaging Ultrasonography, Mammary Elasticity Imaging Techniques Middle Aged Ultrasonography ROC Curve Treatment Outcome
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Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result from NHANES 2021-2023.

BMC gastroenterology Apr 14, 2025
BACKGROUND: Metabolic dysfunction-associated fatty liver disease (MAFLD) is a common chronic liver disease and represents a significant public health issue. Nevertheless, current risk stratification methods remain inadequate. The study aimed to use m...
Nutrition Surveys Non-alcoholic Fatty Liver Disease Vibration Elasticity Imaging Techniques Middle Aged Risk Assessment ROC Curve Fatty Liver Female Risk Factors Adult Male Humans Machine Learning
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Predicting metabolic dysfunction associated steatotic liver disease using explainable machine learning methods.

Scientific reports Apr 11, 2025
Early and accurate identification of patients at high risk of metabolic dysfunction-associated steatotic liver disease (MASLD) is critical to prevent and improve prognosis potentially. We aimed to develop and validate an explainable prediction model ...
Male Middle Aged ROC Curve Fatty Liver Risk Factors Aged Adult Cross-Sectional Studies Nutrition Surveys Area Under Curve Elasticity Imaging Techniques Humans Machine Learning Algorithms Female
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Identifying liver cirrhosis in patients with chronic hepatitis B: an interpretable machine learning algorithm based on LSM.

Annals of medicine Mar 19, 2025
BACKGROUND: Chronic hepatitis B (CHB) is a common cause of liver cirrhosis (LC), a condition associated with an unfavourable prognosis. Therefore, timely diagnosis of LC in CHB patients is crucial.
Retrospective Studies Liver Female Middle Aged Hepatitis B, Chronic Adult ROC Curve Elasticity Imaging Techniques Male Humans Logistic Models Neural Networks, Computer Liver Cirrhosis Machine Learning Algorithms
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Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope.

IEEE transactions on medical imaging Mar 17, 2025
Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via clinical imaging systems, e.g., ultrasound or magnetic resonance imaging. Typically, the image based approaches are not suitable during interventions,...
Deep Learning Image Processing, Computer-Assisted Equipment Design Phantoms, Imaging Endoscopes Humans Elasticity Imaging Techniques Animals Swine
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ELTIRADS framework for thyroid nodule classification integrating elastography, TIRADS, and radiomics with interpretable machine learning.

Scientific reports Mar 13, 2025
Early detection of malignant thyroid nodules is crucial for effective treatment, but traditional diagnostic methods face challenges such as variability in expert opinions and limited integration of advanced imaging techniques. This prospective cohort...
Machine Learning Prospective Studies Female Aged Adult Radiomics Male Middle Aged Elasticity Imaging Techniques Thyroid Neoplasms Thyroid Nodule Humans Support Vector Machine Biopsy, Fine-Needle
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Quantification of tissue stiffness with magnetic resonance elastography and finite difference time domain (FDTD) simulation-based spatiotemporal neural network.

Magnetic resonance imaging Feb 4, 2025
Quantification of tissue stiffness with magnetic resonance elastography (MRE) is an inverse problem that is sensitive to noise. Conventional methods for the purpose include direct inversion (DI) and local frequency estimation (LFE). In this study, we...
Signal-To-Noise Ratio Phantoms, Imaging Elastic Modulus Computer Simulation Elasticity Imaging Techniques Humans Reproducibility of Results Neural Networks, Computer Magnetic Resonance Imaging Algorithms Image Interpretation, Computer-Assisted
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The impact of updated imaging software on the performance of machine learning models for breast cancer diagnosis: a multi-center, retrospective study.

Archives of gynecology and obstetrics Jan 30, 2025
PURPOSE: Artificial Intelligence models based on medical (imaging) data are increasingly developed. However, the imaging software on which the original data is generated is frequently updated. The impact of updated imaging software on the performance...
Machine Learning Software Retrospective Studies Female Humans Elasticity Imaging Techniques Aged Adult Breast Neoplasms Middle Aged
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Multi-site, multi-vendor development and validation of a deep learning model for liver stiffness prediction using abdominal biparametric MRI.

European radiology Jan 9, 2025
BACKGROUND: Chronic liver disease (CLD) is a substantial cause of morbidity and mortality worldwide. Liver stiffness, as measured by MR elastography (MRE), is well-accepted as a surrogate marker of liver fibrosis.
Elasticity Imaging Techniques Liver Cirrhosis Humans Adult Magnetic Resonance Imaging Male Liver Female Middle Aged Liver Diseases Aged Deep Learning
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Liver fibrosis stage classification in stacked microvascular images based on deep learning.

BMC medical imaging Jan 7, 2025
BACKGROUND: Monitoring fibrosis in patients with chronic liver disease (CLD) is an important management strategy. We have already reported a novel stacked microvascular imaging (SMVI) technique and an examiner scoring evaluation method to improve fib...
Middle Aged Aged Humans Deep Learning Microvessels Neural Networks, Computer Liver Cirrhosis Adult Artificial Intelligence Elasticity Imaging Techniques Cross-Sectional Studies Female Male
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