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Complete digital pathology transition: A large multi-center experience.

Benzion Samueli1, Natalie Aizenberg1, Ruthy Shaco-Levy2

  • 1Department of Pathology, Soroka University Medical Center, P.O. Box 151, Be'er Sheva 8410101, Israel; Faculty of Health Sciences, Ben Gurion University of the Negev, P.O. Box 653, Be'er Sheva 8410501, Israel.

Pathology, Research and Practice
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Summary
This summary is machine-generated.

Selecting infrastructure for digital pathology requires careful evaluation of slide scanners, image management systems, and synoptic reporting tools. Newer scanner generations generally offer superior performance for primary diagnostics.

Keywords:
Digital pathologyImage management systemSlide scannersSynoptic reporting

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Area of Science:

  • Digital Pathology
  • Laboratory Informatics
  • Medical Imaging

Background:

  • Transitioning to digital pathology for primary diagnostics necessitates robust infrastructure, including laboratory information systems, image management systems, and slide scanners.
  • Sophisticated pathology informatics, such as synoptic reporting, is crucial for this transition.
  • Previous literature has focused on the transition process, but less on infrastructure selection criteria.

Purpose of the Study:

  • To outline the evaluation process for slide scanners, image management systems, and synoptic reporting systems.
  • To inform large, multi-site institutions undertaking digital pathology implementation.

Main Methods:

  • Six network hospitals evaluated six slide scanners, three image management systems, and three synoptic reporting systems.
  • Slide scanners were assessed on image quality, speed, usability, and advanced features (z-stacking, fluorescence).
  • Image management and synoptic reporting systems were evaluated for user-friendliness and capacity.

Main Results:

  • Leica GT450 offered the highest image quality; 3DHistech Pannoramic excelled in fluorescence and z-stacking.
  • Newer generation scanners generally outperformed older models.
  • Sectra was considered the leading image management system, though rapidly evolving.
  • All evaluated synoptic reporting systems performed well.

Conclusions:

  • The digital pathology landscape evolves rapidly; current-generation technology should be prioritized.
  • Large pathology practices must carefully evaluate available infrastructure components for successful digital transition.
  • Understanding the specific capabilities and limitations of each system is key to informed decision-making.