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

7.3K
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...
7.3K

You might also read

Related Articles

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

Sort by
Same author

Microsurgical Evacuation Efficacy and Functional Outcomes in Spontaneous Intracerebral Hemorrhage by Type of Antithrombotic Therapy.

Neurosurgery·2026
Same author

IDH1-mutant vaccine in newly diagnosed astrocytoma: final analysis of the multicenter, single-arm, open-label, first-in-human phase 1 NOA16 trial.

Nature cancer·2026
Same author

Oncological and neurological outcomes after parent rootlet resection in functionally critical spinal schwannomas: a retrospective multicenter comparative study.

Journal of neurosurgery. Spine·2026
Same author

Impact of infratentorial location on survival after surgical resection of brain metastases: a multicenter retrospective study.

Neuro-oncology advances·2026
Same author

Clinical Implementation and Oncological Relevance of Molecular Profiling in Brain Metastases Patients-A Multicenter Retrospective Cohort Study.

International journal of cancer·2026
Same author

Peritruncal hematoma volume: is it a neglected prognostic marker in aneurysmal subarachnoid hemorrhage?

Journal of neurosurgery·2026
Same journal

Feasibility of uniportal thoracoscopic sublobar resection without chest tube drainage: a retrospective cohort study.

Frontiers in oncology·2026
Same journal

Real-world effectiveness and safety of carfilzomib, pomalidomide, and dexamethasone in relapsed/refractory multiple myeloma: a retrospective analysis from China.

Frontiers in oncology·2026
Same journal

Caregiver satisfaction with early integrated palliative care in oncology: secondary outcomes from the PALLiON cluster-RCT.

Frontiers in oncology·2026
Same journal

Intracranial mesenchymal tumor with FET::CREB fusion: a rare case report.

Frontiers in oncology·2026
Same journal

The multifaceted roles of mitochondria and their therapeutic transformation: a new perspective on triple-negative breast cancer treatment.

Frontiers in oncology·2026
Same journal

Trastuzumab emtansine versus trastuzumab plus pertuzumab for HER2-positive breast cancer with residual disease after neoadjuvant therapy: a real-world study.

Frontiers in oncology·2026
See all related articles

Related Experiment Video

Updated: Sep 21, 2025

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

7.5K

MRI-Based Risk Assessment for Incomplete Resection of Brain Metastases.

Tizian Rosenstock1,2, Paul Pöser1, David Wasilewski1

  • 1Department of Neurosurgery, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.

Frontiers in Oncology
|June 2, 2022
PubMed
Summary
This summary is machine-generated.

Incomplete resection of brain metastases (subtotal resection) is a risk. This study developed an MRI-based assessment to predict the individual risk of unintended subtotal resection (uSTR) for better surgical planning.

Keywords:
(GTR) gross total resection(STR) subtotal resectionbrain metastasisextent of resectionmagnetic resonance imaging (MRI)neurosurgical resection

More Related Videos

Ultrasound Imaging-guided Intracardiac Injection to Develop a Mouse Model of Breast Cancer Brain Metastases Followed by Longitudinal MRI
08:36

Ultrasound Imaging-guided Intracardiac Injection to Develop a Mouse Model of Breast Cancer Brain Metastases Followed by Longitudinal MRI

Published on: March 6, 2014

19.1K
Implementation of Minimally Invasive Brain Tumor Resection in Rodents for High Viability Tissue Collection
08:23

Implementation of Minimally Invasive Brain Tumor Resection in Rodents for High Viability Tissue Collection

Published on: May 9, 2022

4.5K

Related Experiment Videos

Last Updated: Sep 21, 2025

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

7.5K
Ultrasound Imaging-guided Intracardiac Injection to Develop a Mouse Model of Breast Cancer Brain Metastases Followed by Longitudinal MRI
08:36

Ultrasound Imaging-guided Intracardiac Injection to Develop a Mouse Model of Breast Cancer Brain Metastases Followed by Longitudinal MRI

Published on: March 6, 2014

19.1K
Implementation of Minimally Invasive Brain Tumor Resection in Rodents for High Viability Tissue Collection
08:23

Implementation of Minimally Invasive Brain Tumor Resection in Rodents for High Viability Tissue Collection

Published on: May 9, 2022

4.5K

Area of Science:

  • Neurosurgery
  • Neuroradiology
  • Oncology

Background:

  • Gross total resection of brain metastases is not always achievable.
  • Subtotal resection (STR) may lead to early recurrence and impact patient survival.
  • A predictive tool for incomplete resection is needed.

Purpose of the Study:

  • To establish an MRI-based risk assessment for incomplete resection of brain metastases.
  • To identify risk factors for unintended subtotal resection (uSTR).
  • To develop a regression tree analysis for individual uSTR risk prediction.

Main Methods:

  • Prospective observational study including 150 patients with resected brain metastases.
  • Interdisciplinary evaluation of pre- and postoperative MRI by neurosurgeons and neuroradiologists.
  • Neuroradiological analysis to identify risk factors for uSTR, integrated into regression tree analysis.

Main Results:

  • Unintended subtotal resection (uSTR) occurred in 15.8% of cases.
  • Key risk factors for uSTR included subcortical location (≥5mm from cortex), diffuse contrast enhancement, and proximity to ventricles or dural reflections.
  • Regression tree analysis identified distance from cortex (≥5mm) and diffuse contrast enhancement as primary predictors of uSTR risk.

Conclusions:

  • Subcortical metastases distant from the cortex with diffuse enhancement have the highest uSTR incidence.
  • The proposed MRI-based assessment can estimate individual uSTR risk.
  • This tool can aid in guiding intraoperative imaging decisions.