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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
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The Development of Imaging Standards for Pathology
Lab Infotech SummitMarch 2-4, 2005Las Vegas, Nevada
Jules J. Berman, Ph.D., M.D.Program Director, Pathology InformaticsCancer Diagnosis Program, NCI, NIHemail: [email protected]
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
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
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
In a data-intensive world, the data is the center of the universe. Manuscripts are satellites revolving around a central large BLOB of data.
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)
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)
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
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
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
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
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
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
Thomas J. BarrBruce BeckwithAnn CecilAlton D. FloydJeffrey A. BecksteadJules BermanBill BeyerDave BilliterJack A. ZeinehMark NewbergerTony C. PanUlysses BalisAndy LoweWalter HenricksMike Szymanski
Mark TuthillKemp WatsonBruce FriedmanOle EichhornStan SchwartzKeith KaplanAmitabh DeshpandeBill FesterJames M. CrawfordEmily BurnsJohn StinsonMark E. SobelSteve BarbeeBruce Williams
Ohio State UniversityHarvardInterscopeNIHTrestleApollodmetrix.comHenry Ford HospitalCleveland ClinicBioimageneU of MichiganAperioNikonWalter ReedOlympusUniversity of FloridaAFIPAssoc Soc Investigative Pathologists
LDIP Task Groups1. 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
Ultimate GoalsWill 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.
end