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The Development of Imaging Standards for Pathology Lab Infotech Summit March 2-4, 2005 Las Vegas, Nevada Jules J. Berman

Explore the evolution of imaging standards in pathology labs through the insightful presentations from experts in the field. Discover key tasks and tools for efficient data sharing and collaboration amongst pathologists. Learn about Tissue MicroArray Data Exchange Specification and the LDIP project.

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The Development of Imaging Standards for Pathology Lab Infotech Summit March 2-4, 2005 Las Vegas, Nevada Jules J. Berman

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  1. The Development of Imaging Standards for Pathology Lab Infotech Summit March 2-4, 2005 Las Vegas, Nevada Jules J. Berman, Ph.D., M.D. Program Director, Pathology Informatics Cancer Diagnosis Program, NCI, NIH email: bermanj@mail.nih.gov

  2. UFO Abductees Lots of them They often say about the same thing (independent confirmations) All walks of life Minority are a little crazy Mostly honest and rational people One problem: no evidence

  3. Researchers who don’t publish their primary data Lots of them They often say about the same thing (independent confirmations) All walks of life Minority are a little crazy Mostly honest and rational people One problem: no evidence

  4. After your research data reaches a certain size, the data becomes the publication, and the journal articles become tiny editorials that describe or interpret the data

  5. In a data-intensive world, the data is the center of the universe. Manuscripts are satellites revolving around a central large BLOB of data.

  6. What are the tasks involved in data sharing? Legal tasks (ip rights, confidentiality, security, encryption) Data organization (annotation, ontologies, classifications, taxonomies, data exchange specifications) Data Retrieval/Data analysis (algorithms, statistics, deep thought)

  7. What are the things that pathologists share? Text (reports, protocols, transaction data) Images (includes annotations of images) Tissues (35 million archived cases in U.S. each year)

  8. Standard ways of exchanging images and the annotations that describe the image. Forget about concepts like: Standard image file formats Thumbnail inventories Think about: Self-describing image files

  9. XML is the greatest information organizing tool since the invention of the book. Much more important than HTML Takes advantage of: Metadata Namespaces Internet External links Ontologies Permits the integration of data held in different databases

  10. Example: Tissue Microarray Data Exchange Specification The TMA Specification is an open access document that can be used without any restriction. Its development was sponsored by the NCI and by the Association for Pathology Informatics

  11. Basics of the Tissue MicroArray data exchange specification: Jules J Berman, Mary Edgerton and Bruce Friedman. The tissue microarray data exchange specification: a community-based, open source tool for sharing tissue microarray data. BMC Med Inform Decis Mak. 2003 May 23;3:5 Real-world implementation example: Jules J Berman, Milton Datta, Andre Kajdacsy-Balla, Jonathan Melamed, Jan Orenstein, Kevin Dobbin, Ashok Patel, Rajiv Dhir, Michael J Becich. The tissue microarray data exchange specification: implementation by the Cooperative Prostate Cancer Tissue Resource. BMC Bioinformatics 2004 Feb 27, 5:19

  12. LDIP (Laboratory Digital Imaging Project) Association for Pathology Informatics Pathology Image Data Exchange Specification Information available at: http://www.pathologyinformatics.org/ldip.htm Minutes, charter, interim documents, all public and downloadable

  13. LDIP (Laboratory Digital Imaging Project) First organizing conference call….. May 3, 2004 First public presentation of the LDIP data exchange specification concept… Oct 6, 2004 Projected completion of first draft… Sometime in 2007

  14. Thomas J. Barr Bruce Beckwith Ann Cecil Alton D. Floyd Jeffrey A. Beckstead Jules Berman Bill Beyer Dave Billiter Jack A. Zeineh Mark Newberger Tony C. Pan Ulysses Balis Andy Lowe Walter Henricks Mike Szymanski Mark Tuthill Kemp Watson Bruce Friedman Ole Eichhorn Stan Schwartz Keith Kaplan Amitabh Deshpande Bill Fester James M. Crawford Emily Burns John Stinson Mark E. Sobel Steve Barbee Bruce Williams

  15. Ohio State University Harvard Interscope NIH Trestle Apollo dmetrix.com Henry Ford Hospital Cleveland Clinic Bioimagene U of Michigan Aperio Nikon Walter Reed Olympus University of Florida AFIP Assoc Soc Investigative Pathologists

  16. LDIP Task Groups 1. Communications task group 2. Workshop task group 3. Schema task group 4. File CDE task group 5. Binary object CDE task group 6. Image descriptor task group 7. Specimen CDE task/force 8. Clinical CDE task group 9. Usability task group 10. Messaging task group 11. Review task group 12. Publications/Public Relations task group

  17. Ultimate Goals Will allow anyone who uses pathology images to exchange images and accompanying annotations in a format that can be completely understood by anyone Vendors will be able to write simple software that will be able to port their proprietary images into or out of the data exchange standard The standard will be portable to and from DICOM The standard will permit the integration of metadata/data pairs with related data in other databases.

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