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Color Vision Deficiency Survey in Anatomic Pathology
Thomas J Flotte1, Lynn D Cornell1
1Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
American Journal of Clinical Pathology
|August 1, 2022
Summary
Color vision-deficient pathologists and cytotechnologists face challenges with certain stains but develop effective viewing strategies. Digital pathology may offer solutions for improved stain interpretation in this group.
Area of Science:
- Medical Diagnostics
- Histopathology
- Ophthalmology
Background:
- Color vision deficiency (CVD) affects a significant portion of the population.
- Pathologists and cytotechnologists rely heavily on accurate color-based stain interpretation.
- Understanding the challenges faced by CVD professionals is crucial for diagnostic accuracy.
Purpose of the Study:
- To identify the primary challenges and advantages experienced by color vision-deficient (CVD) pathologists and cytotechnologists.
- To explore the accommodations and strategies employed by these professionals.
- To assess the impact of digital pathology on CVD professionals.
Main Methods:
- An anonymous online survey was distributed to practicing pathologists and cytotechnologists.
- The survey focused on their experiences with various histological and cytological stains.
- Responses from 377 participants were analyzed, with 23 identifying as color vision deficient.
Main Results:
- Eight CVD professionals reported advantages, such as enhanced morphology appreciation.
- Nineteen CVD professionals reported disadvantages, particularly with identifying eosinophils and acid-fast bacilli.
- Difficulties were noted with specific stains (e.g., PAS, Giemsa) and cellular components (e.g., RBCs, nucleoli).
- Most CVD professionals found digital slides comparable to glass slides in difficulty.
Conclusions:
- CVD pathologists and cytotechnologists develop effective slide-viewing approaches.
- Digital pathology presents potential avenues to assist CVD professionals in stain interpretation.
- Further research into digital tools for CVD support in pathology is warranted.
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