Related Experiment Video
Updated: Feb 12, 2026

Author Spotlight: Anterior HR-OCT as a Non-Invasive Tool for Characterizing Ocular Surface Squamous Neoplasia
Published on: August 9, 2024
Ability of novice clinicians to interpret high-resolution optical coherence tomography for ocular surface lesions
Michael Yim1, Anat Galor2, Afshan Nanji1
1Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL.
Objective:
To assess the ability of novice clinicians to use a commercially available high-resolution anterior segment optical coherence tomography (HR-OCT) device to diagnose various lesions of the ocular surface and cornea.
Methods:
Cross-sectional study. Twenty-six black-and-white HR-OCT images were projected, and clinicians were asked to determine whether the lesions represented ocular surface squamous neoplasia (OSSN) or another ocular surface pathology. A 20-minute instructional lecture was given on HR-OCT interpretation, and the same 26 images were shown. The clinicians were asked to repeat their assessment of the lesions. Thirty-four novice clinicians at the Bascom Palmer Eye Institute, Miami, FL, participated. A commercially available device (RTVue, Optovue, Fremont, Calif.) was specifically chosen for this study.
Results:
The mean frequency of correct identification of the 26 lesions was 70% (standard deviation [SD] 15%) before instruction; after a short lecture, the frequency of correct identification improved to 84% (SD 9%, p = 0.002). Novice clinicians were more accurate in correctly determining that a lesion was not an OSSN (ruling it out as a diagnosis) than in determining that a lesion was an OSSN (p = 0.001). Some lesions (both OSSN and not OSSN), however, were more difficult to interpret than others.
Conclusion:
This study demonstrated that all levels of novice clinicians can quickly improve diagnostic accuracy with a commercially available HR-OCT after a short training session.
Related Concept Videos
Interpreting R Charts
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...
Interpreting Run Charts
Mass Spectrum: Interpretation
Interpretation of Confidence Intervals
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
Interpreting X̄ Charts
An x̄ chart plots the values of individual measurements over time against control limits calculated from historical data. The central line...
ECG Interpretation of Rhythms
Components of the Electrocardiogram
The primary components of a normal ECG waveform in Normal sinus rhythm(NSR) include the P wave, PR interval, QRS complex, ST segment, T wave, and occasionally a U wave.
ECG waveforms are divided by vertical and horizontal lines at standard intervals.
The horizontal axis measures time and rate, and the vertical axis measures amplitude or voltage....

