Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.0K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.0K
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

157
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,...
157
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

258
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
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...
258

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Acupuncture for persistent atrial fibrillation after catheter ablation: study protocol for a pilot randomized controlled trial.

Trials·2021
Same author

The Prognostic Significance of miR-21 Expression among Surgically Resected Hepatocellular Carcinoma Patients: Evidence from a Meta-Analysis and Retrospective Cohort Study.

BioMed research international·2021
Same author

Preclinical models of pancreatic ductal adenocarcinoma: challenges and opportunities in the era of precision medicine.

Journal of experimental & clinical cancer research : CR·2021
Same author

Guided relaxation-based virtual reality versus distraction-based virtual reality or passive control for postoperative pain management in children and adolescents undergoing Nuss repair of pectus excavatum: protocol for a prospective, randomised, controlled trial (FOREVR Peds trial).

BMJ open·2020
Same author

Increased fibrillarin expression is associated with tumor progression and an unfavorable prognosis in hepatocellular carcinoma.

Oncology letters·2020
Same author

Clinical characteristics and prognosis of COVID-19 patients with initial presentation of lung lesions confined to a single pulmonary lobe.

American journal of translational research·2020

Related Experiment Video

Updated: Oct 17, 2025

Non-Invasive PET/MR Imaging in an Orthotopic Mouse Model of Hepatocellular Carcinoma
07:47

Non-Invasive PET/MR Imaging in an Orthotopic Mouse Model of Hepatocellular Carcinoma

Published on: August 31, 2022

2.4K

Progress of MRI Radiomics in Hepatocellular Carcinoma.

Xue-Qin Gong1, Yun-Yun Tao1, Yao-Kun Wu1

  • 1Medical Imaging Key Laboratory of Sichuan Province, Department of Radiology, Medical Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.

Frontiers in Oncology
|October 7, 2021
PubMed
Summary

Radiomics, an advanced imaging technique, shows promise in predicting hepatocellular carcinoma (HCC) outcomes using MRI data. This noninvasive approach aids in personalized preoperative treatment decisions for HCC patients.

Keywords:
diagnosishepatocellular carcinomaimmune checkpoint inhibitorsintravoxel incoherent motionmagnetic resonance imagingradiomicstarget therapiestherapeutic response

More Related Videos

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.4K
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
06:09

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

Published on: July 21, 2023

1.5K

Related Experiment Videos

Last Updated: Oct 17, 2025

Non-Invasive PET/MR Imaging in an Orthotopic Mouse Model of Hepatocellular Carcinoma
07:47

Non-Invasive PET/MR Imaging in an Orthotopic Mouse Model of Hepatocellular Carcinoma

Published on: August 31, 2022

2.4K
Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease
08:41

Novel In Vivo Micro-Computed Tomography Imaging Techniques for Assessing the Progression of Non-Alcoholic Fatty Liver Disease

Published on: March 24, 2023

1.4K
Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI
06:09

Author Spotlight: Advancing Hepatic Fibrosis Diagnosis Using Magnetic Resonance Elastography and AI

Published on: July 21, 2023

1.5K

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging Analysis

Background:

  • Hepatocellular carcinoma (HCC) is a leading cause of cancer death globally, with current prognostic factors often requiring postoperative examination.
  • Existing diagnostic methods for HCC have limitations in preoperative decision-making, impacting patient outcomes.
  • Radiomics offers a novel, noninvasive method to extract quantitative imaging features for predicting clinical outcomes.

Purpose of the Study:

  • To review the workflow of radiomics.
  • To summarize research progress on magnetic resonance imaging (MRI) radiomics for HCC diagnosis and treatment.
  • To highlight the potential of radiomics in improving HCC patient management.

Main Methods:

  • A comprehensive literature review was performed using PubMed.
  • Searched for peer-reviewed articles published between May 2017 and June 2021.
  • Keywords included HCC, MRI, radiomics, artificial intelligence, and prognosis-related terms.

Main Results:

  • MRI radiomics features serve as effective biomarkers for HCC.
  • These biomarkers can predict differential diagnosis, histological grade, and microvascular invasion.
  • Radiomics also aids in assessing gene expression, therapeutic response, and patient prognosis.

Conclusions:

  • Radiomics represents a significant advancement in medical imaging.
  • MRI-based radiomics demonstrates substantial value in the diagnosis and treatment of HCC.
  • This technique supports personalized preoperative decision-making for HCC management.