ArticleDiagnostics (Basel, Switzerland)2022
Quantification and Classification of Contrast Enhanced Ultrasound Breast Cancer Data: A Preliminary Study.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- A Comprehensive and Repeatable Contrast-Enhanced Ultrasound Quantification Approach for Clinical Evaluations of Tumor Blood Flow.Investigative radiology · 2025Article
- Magnetic Resonance Elastography for Breast Cancer Diagnosis Through the Assessment of Tissue Biomechanical Properties.Health science reports · 2024Article
- The benefits of contrast-enhanced ultrasound in the differential diagnosis of suspicious breast lesions.Frontiers in medicine · 2024Article
- Advantages of contrast-enhanced ultrasound in the localization and diagnostics of sentinel lymph nodes in breast cancer.Journal of Zhejiang University. Science. B · 2023Article
- Investigating the value of radiomics stemming from DSC quantitative biomarkers in IDH mutation prediction in gliomas.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to investigate which of the two frequently adopted perfusion models better describes the contrast enhanced ultrasound (CEUS) perfusion signal in order to produce meaningful imaging markers with the goal of developing a machine-learning model that can classify perfusion curves as benign or malignant in breast cancer data. Twenty-five patients with high suspicion of breast cancer were analyzed with exponentially modified Gaussian (EMG) and gamma variate functions (GVF). The adjusted R
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Registered trials
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