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Reconstruct Human Retinoblastoma In Vitro
Published on: October 11, 2022
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Design and Implementation of the Retinoblastoma Collaborative Laboratory
Seemi Qaiser1, Alice Limo2, Josiah Gichana2
1Human Biology Program, Faculty of Arts and Science, Dalla Lana School of Public Health, University of Toronto, Toronto, Ont., Canada.
Ocular Oncology and Pathology
|March 10, 2017
Summary
A new digital pathology lab in Kenya improved retinoblastoma (eye cancer) diagnosis and patient care. This initiative enhanced pathology reporting accuracy and fostered collaboration among healthcare professionals.
Area of Science:
- Ophthalmology
- Oncology
- Digital Health
Background:
- Retinoblastoma is a significant pediatric eye cancer globally.
- Limited access to specialized pathology services can hinder timely diagnosis and treatment in resource-limited settings.
- The establishment of centralized pathology laboratories is crucial for improving cancer care outcomes.
Purpose of the Study:
- To detail the design and implementation of the Retinoblastoma Collaborative Laboratory (RbCoLab) in Kenya.
- To establish a central hub for processing retinoblastoma specimens from across Kenya.
- To leverage digital pathology for enhanced diagnostic services and patient care.
Main Methods:
- Centralized processing of retinoblastoma specimens in Nairobi using evidence-based standard operating procedures.
- Utilization of digital scanning technology for image acquisition.
- Online dissemination of digital pathology reports to clinicians nationwide.
- Development of a sustainable 'Robin Hood' business model for service delivery.
Main Results:
- Implementation of standard operating procedures improved pathology report accuracy, completeness, and timeliness.
- Digital technology integration facilitated knowledge and skills transfer among healthcare professionals.
- A bidirectional educational network enhanced understanding of cancer pathology's clinical importance.
- The 'Robin Hood' model supported the sustainability and scalability of cancer pathology services.
Conclusions:
- Evidence-based protocols, comprehensive training, and collaboration are vital for improving retinoblastoma patient care in Kenya.
- Digital pathology, as an integrated component of care, enables continuous learning and expertise development through consultation.
- The RbCoLab model demonstrates a successful approach to enhancing specialized diagnostic services in resource-limited environments.

