New research funded by the National Institute for Health and Care Research (NIHR) has paved the way for the UK government’s approval of digital pathology in cancer screening programs.
Histopathology, the examination of cells and tissues under a microscope, is a critical step in many disease pathways, where early cancer detection is crucial for survival. Digital pathology involves the use of automated slide scanners to digitize the histopathology process, allowing pathologists to report samples remotely. This not only speeds up the reporting process but also facilitates easier sharing of samples, reducing the risk of loss or damage. Additionally, it enables pathologists to review slides remotely, eliminating the need for their physical presence in hospitals.
The research findings have led to the UK government’s approval of digital pathology for analyzing cancer screening samples, bringing various benefits to clinical practice. This approval opens the door for the potential use of artificial intelligence (AI) tools to support pathologists in their work. Professor David Snead, Consultant Pathologist and Lead Researcher expressed delight in achieving this milestone and credited the entire team involved in the study for their efforts.
The transition to digital pathology in cancer screening programs is expected to enhance efficiency, reduce turnaround times, and potentially improve pathologists’ performance through the integration of AI-based tools. The approval follows a consultation by the UK National Screening Committee, recognizing the value of digital pathology in advancing cancer screening and diagnosis.
The study, funded by the NIHR Health Technology Assessment Programme and supported by the University of Warwick’s Clinical Trials Unit, involved six NHS hospitals and aimed to demonstrate equivalence in pathologists’ reporting of samples using digital pathology compared to light microscopy, the current standard. The positive results of the study contribute to the ongoing evolution of healthcare practices, embracing digital technologies for more effective patient care.
