Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma-Reference-Cited by-同舟云学术

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Point Shear Wave Elastography Using Machine Learning to Differentiate Renal Cell Carcinoma and Angiomyolipoma

Published:2019-08 Issue:8 Volume:45 Page:1944-1954
ISSN:0301-5629
Container-title:Ultrasound in Medicine & Biology
language:en
Short-container-title:Ultrasound in Medicine & Biology

Author:

Sagreiya Hersh,Akhbardeh Alireza,Li Dandan,Sigrist Rosa,Chung Benjamin I.,Sonn Geoffrey A.,Tian Lu,Rubin Daniel L.,Willmann Jürgen K.

Funder

Siemens

Radiological Society of North America

Scholarship Council

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics,Radiology Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology

Reference47 articles.

1. Acoustic radiation force impulse elastography of the kidneys: Is shear wave velocity affected by tissue fibrosis or renal blood flow?;Asano;J Ultrasound Med,2014

2. A user's guide to support vector machines;Ben-Hur;Methods Mol Biol,2010

3. Stiffness imaging of the kidney and adjacent abdominal tissues measured simultaneously using magnetic resonance elastography;Bensamoun;Clin Imaging,2011

4. Kidney shear wave speed values in subjects with and without renal pathology and inter-operator reproducibility of acoustic radiation force impulse elastography (ARFI)—Preliminary results;Bob;PLoS One,2014

5. Machine-learning-based classification of real-time tissue elastography for hepatic fibrosis in patients with chronic hepatitis B;Chen;Comput Biol Med,2017

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1. A narrative review on the application of artificial intelligence in renal ultrasound;Frontiers in Oncology;2024-03-01

2. Ultrasound Elastography for the Differentiation of Benign and Malignant Solid Renal Masses: A Systematic Review and Meta-Analysis;Applied Sciences;2023-06-30

3. Artificial intelligence-aided ultrasound in renal diseases: a systematic review;Quantitative Imaging in Medicine and Surgery;2023-06

4. Alkaline phosphatase combines with CT factors for differentiating small (≤ 4 cm) fat-poor angiomyolipoma from renal cell carcinoma: a multiple quantitative tool;World Journal of Urology;2023-04-24

5. Ultrasound Image–Based Deep Features and Radiomics for the Discrimination of Small Fat-Poor Angiomyolipoma and Small Renal Cell Carcinoma;Ultrasound in Medicine & Biology;2023-02

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