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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
A system for sharing routine surgical pathology specimens across institutions: the Shared Pathology Informatics
Thomas A Drake1, Jonathan Braun, Alberto Marchevsky
1Department of Pathology and Laboratory Medicine, UCLA Medical Center, avid Geffen School of Medicine at UCLA, Los Angeles, CA 90095, USA.
A new Web-based system enables pathologists to efficiently search and retrieve pathology specimens from multiple institutions, accelerating cancer research. This informatics tool facilitates finding relevant paraffin blocks for studies.
Area of Science:
- Pathology Informatics
- Biomedical Informatics
- Cancer Research Informatics
Background:
- Pathology specimens are crucial for research but difficult to access across institutions.
- Existing systems lack efficient methods for searching and retrieving paraffin blocks.
- The National Cancer Institute's Shared Pathology Informatics Network (SPIN) program aimed to address this gap.
Purpose of the Study:
- To develop a novel Web-enabled system for indexing and retrieving pathology specimens across multiple institutions.
- To create a prototype system for identifying paraffin blocks relevant to cancer research.
- To overcome challenges in data sharing while maintaining local control and privacy.
Main Methods:
- Development of a Web-based informatics system with local data control.
- Creation of an eXtensible Markup Language (XML) schema for specimen data.
- Implementation of deidentification methods for pathology reports.
- Utilizing the Unified Medical Language System (UMLS) for automated data coding.
- Establishing robust confidentiality and consent hierarchies.
Main Results:
- The prototype system allows Web-based querying of millions of pathology reports from six institutions.
- Search and retrieval of relevant pathology reports and paraffin blocks are achieved in seconds to minutes.
- Researchers can identify and request specific paraffin blocks from participating institutions.
Conclusions:
- The developed system successfully enables efficient, multi-institutional access to pathology specimens.
- This informatics solution has significant potential to expand annotated tissue availability for cancer and other disease research.
- Future integration with clinical and outcome data will further enhance its research utility.
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