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

Interpreting R Charts01:22

Interpreting R Charts

341
R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
341
Interpreting Run Charts01:25

Interpreting Run Charts

3.0K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
3.0K
Variables Affecting Phosphorescence and Fluorescence01:26

Variables Affecting Phosphorescence and Fluorescence

1.3K
Fluorescence and phosphorescence are essential phenomena in fields like analytical chemistry, biological imaging, and materials science, where they detect molecular properties and visualize cellular structures. Understanding the variables that influence these luminescent behaviors is crucial for maximizing accuracy and efficiency in their applications. These variables can broadly be grouped into chemical structure, solvent properties, and external conditions, each playing a distinct role in...
1.3K
Variability: Analysis01:11

Variability: Analysis

449
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
449
Random Variables01:09

Random Variables

17.4K
A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
Uppercase letters such as X or Y denote a random variable. Lowercase letters like x or y denote the value of a random variable. If X is a random variable, then X is written in words, and x is given as a number.
For example, let X = the...
17.4K
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

2.8K
An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Response to "Methodological Considerations Regarding Facility Volume and Travel Distance in Laryngeal Squamous Cell Carcinoma".

Head & neck·2026
Same author

Minimally Invasive Sampling Techniques for Pancreatic and Pulmonary Nodules: A Review of the Evolution of Guidance and Sampling Methods.

Diagnostic cytopathology·2026
Same author

Association of Facility Case Volume and Patient Travel Distance With Survival in Laryngeal Squamous Cell Carcinoma.

Head & neck·2026
Same author

Cytomorphologic Predictors of Adenoid Cystic Carcinoma: Insights From a Multi-Center Logistic Regression Study.

Diagnostic cytopathology·2026
Same author

Trend in Initial Management of T4 Laryngeal Squamous Cell Carcinoma.

Head & neck·2025
Same author

The Milan System SUMP Category: 5-Year Diagnostic Performance.

Diagnostic cytopathology·2025

Related Experiment Video

Updated: Jan 20, 2026

Less-Invasive Technique for Non-stabilized Mandibular Fracture in Mouse Models
04:13

Less-Invasive Technique for Non-stabilized Mandibular Fracture in Mouse Models

Published on: September 27, 2024

849

Variability in pathologic interpretation of mandibular invasion.

Arya W Namin1, Robert P Zitsch1, Lester J Layfield2

  • 1Department of Otolaryngology-Head and Neck Surgery, University of Missouri, Columbia, Missouri.

The Laryngoscope
|August 22, 2019
PubMed
Summary

Pathological interpretation of mandibular invasion by oral cavity squamous cell carcinoma (SCC) has 84% accuracy. This study highlights variability and recommends precise definitions for accurate diagnosis of SCC mandibular invasion.

Keywords:
Oral squamous cell carcinomaerosiveinfiltrativemandiblemandible invasionpattern of invasion

More Related Videos

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

816
A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle
08:07

A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle

Published on: January 11, 2018

8.8K

Related Experiment Videos

Last Updated: Jan 20, 2026

Less-Invasive Technique for Non-stabilized Mandibular Fracture in Mouse Models
04:13

Less-Invasive Technique for Non-stabilized Mandibular Fracture in Mouse Models

Published on: September 27, 2024

849
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

816
A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle
08:07

A Morphometric and Cellular Analysis Method for the Murine Mandibular Condyle

Published on: January 11, 2018

8.8K

Area of Science:

  • Oncology
  • Pathology
  • Surgical Oncology

Background:

  • Oral cavity squamous cell carcinoma (SCC) is a common malignancy.
  • Accurate pathological assessment of mandibular invasion is critical for treatment planning and prognosis.
  • Variability in pathological interpretation can lead to suboptimal patient management.

Purpose of the Study:

  • To determine the accuracy, sensitivity, and specificity of pathological interpretation of mandibular invasion by oral cavity SCC.
  • To compare the sensitivity of detecting mandibular invasion in erosive versus infiltrative patterns.
  • To evaluate the significance of the terminology 'abuts the mandible' in pathology reports.

Main Methods:

  • Retrospective review of 108 mandibulectomy specimens from oral cavity SCC patients (2005-2015).
  • Pathological interpretation of mandibular invasion was compared to a gold standard retrospective interpretation.
  • Analysis of the incidence and diagnostic value of the term 'abuts the mandible'.

Main Results:

  • Overall accuracy of interpreting mandibular invasion was 84%.
  • Sensitivity for erosive invasion was 77%, and for infiltrative invasion was 91%.
  • The term 'abuts the mandible' was used in 9% of reports, with 80% of these cases showing actual invasion.

Conclusions:

  • Pathological interpretation of mandibular invasion by oral cavity SCC has an accuracy of 84%, suggesting potential sampling errors and interpretative variability.
  • A precise pathological definition for mandibular invasion is needed to reduce variability.
  • Differentiating between erosive and infiltrative patterns impacts sensitivity in detecting mandibular invasion.