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

Cancer Survival Analysis01:21

Cancer Survival Analysis

328
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
328

You might also read

Related Articles

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

Sort by
Same author

Group model-building approach to understand the dynamics and identifying entry points to build resilience in the groundnut value chain in Senegal.

Frontiers in nutrition·2026
Same author

Engineering a Bicistronic Expression System for Mammalian Cell-Based Production of Biofunctional Recombinant Follicle Stimulating Hormone (FSH) of Bos Indicus Origin.

Biotechnology journal·2026
Same author

Case Series of Intracranial Central Primitive Neuroectodermal Tumor in Two Adults Treated With Craniospinal Irradiation.

Clinical case reports·2026
Same author

Quantum interference in a twisted high-Tc SQUID senses emergent interfacial order.

Nature communications·2026
Same author

Distinct lymphocyte immune signatures to nivolumab and recombinant IL-7 ex vivo in patients with sepsis.

Journal of leukocyte biology·2026
Same author

Guidelines for geriatric oncology in India: Recommendations for clinical practice (version 1).

Journal of geriatric oncology·2026

Related Experiment Video

Updated: Jun 1, 2025

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
06:11

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma

Published on: April 20, 2018

9.7K

NIRADS-based case assessment of post-treatment head and neck cancer and its clinical correlation: A validation study.

Aseem Mishra1, Vertika Tewari2, Shreya Shukla3

  • 1Department of Head and Neck Surgical Oncology, Mahamana Pandit Madan Mohan Malviya Cancer Centre and Tata Memorial Centre, Varanasi, Uttar Pradesh, India.

National Journal of Maxillofacial Surgery
|January 20, 2025
PubMed
Summary

The Neck Imaging Reporting and Data System (NI-RADS) accurately predicts head and neck cancer recurrence after treatment. This standardized system improves patient outcomes by ensuring uniform reporting and management.

Keywords:
Chemoradiotherapycomputed tomography scanhead and neck cancer recurrence NIRADSpositron emission tomography

More Related Videos

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment
07:29

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment

Published on: April 22, 2019

11.4K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

3.5K

Related Experiment Videos

Last Updated: Jun 1, 2025

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma
06:11

Therapy Testing in a Spheroid-based 3D Cell Culture Model for Head and Neck Squamous Cell Carcinoma

Published on: April 20, 2018

9.7K
Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment
07:29

Intramucosal Inoculation of Squamous Cell Carcinoma Cells in Mice for Tumor Immune Profiling and Treatment Response Assessment

Published on: April 22, 2019

11.4K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

3.5K

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • The Neck Imaging Reporting and Data System (NI-RADS) lexicon standardizes post-treatment surveillance for head and neck cancer using CECT or PET-CT scans.
  • Standardization reduces interobserver variability and improves scientific communication in head and neck oncology.

Purpose of the Study:

  • To validate the correlation between NI-RADS categories and disease status via clinical follow-up and histopathological analysis.
  • To assess the status of primary and nodal sites 8-12 weeks post-definitive treatment using initial post-treatment imaging and NI-RADS.

Main Methods:

  • Retrospective review of patients treated with curative intent radiotherapy or chemoradiotherapy.
  • Diagnostic accuracy of NI-RADS was compared against clinical follow-up and histopathological findings.
  • Data collected using the NI-RADS lexicon and analyzed with SPSS 25.

Main Results:

  • No significant difference was observed between CECT and PET-CT in predicting recurrence across NI-RADS categories.
  • NI-RADS demonstrated a diagnostic accuracy of 72.79% for primary sites and 74.32% for neck recurrence.
  • Sensitivity, specificity, PPV, and NPV varied for primary and neck sites, with NPV being notably high for both.

Conclusions:

  • NI-RADS scores are strongly associated with the presence of residual disease in both neck and primary sites.
  • Wider adoption of NI-RADS is expected to foster a uniform reporting system, ultimately improving patient outcomes in head and neck cancer management.