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Related Concept Videos

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
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DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
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The most common cardiovascular diagnostic test is an X-ray. It produces images of the heart, blood vessels, and adjacent structures.
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An X-ray, or radiograph, is a non-invasive method that uses ionizing radiation to take images of internal structures. It is mainly used in cardiac imaging to examine the heart, lungs, and major blood vessels, aiming to identify abnormalities in the heart's size, shape, and position, such as heart failure, congenital defects, and vascular...
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Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
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MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
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Radiomics and Deep Learning: Hepatic Applications.

Hyo Jung Park1, Bumwoo Park2, Seung Soo Lee3

  • 1Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

Korean Journal of Radiology
|March 21, 2020
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Summary

Radiomics and deep learning show promise in assessing liver diseases, aiding in fibrosis staging, portal hypertension detection, and tumor analysis. These advanced imaging techniques offer new insights for liver disease management.

Keywords:
Artificial intelligenceComputer-assistedDeep learningLiverRadiomics

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Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Hepatology

Background:

  • Radiomics and deep learning are emerging technologies in medical imaging.
  • Their application in liver disease assessment is rapidly expanding.
  • Existing research highlights their potential across various liver conditions.

Purpose of the Study:

  • To review the fundamental technical aspects of radiomics and deep learning.
  • To summarize recent research on their applications in liver disease.
  • To provide an overview of their utility in clinical practice.

Main Methods:

  • Literature review of radiomics and deep learning studies in liver disease.
  • Analysis of applications including fibrosis staging, portal hypertension, lesion characterization, tumor prognostication, and segmentation.
  • Synthesis of technical principles and recent findings.

Main Results:

  • Radiomics and deep learning demonstrate significant potential in staging liver fibrosis.
  • These techniques are effective in detecting portal hypertension and characterizing focal hepatic lesions.
  • Applications extend to prognosticating malignant hepatic tumors and segmenting liver structures.

Conclusions:

  • Radiomics and deep learning are valuable tools for the comprehensive assessment of liver diseases.
  • These methods enhance diagnostic accuracy and prognostic capabilities in hepatology.
  • Further research and clinical integration are warranted to fully leverage their potential.