After re-evaluation according to recent Banff consensus, RNA isolation was performed with Maxwell FFPE kits and led to sufficient RNA yields in 53 samples which were further processed for NanoString analysis (Human Organ Transplant panel). Methods: We used surveillance and indication biopsies from 63 patients whose time-matched second biopsy core had been frozen and analysed by microarray in the INTERCOM/INTERCOMEX study.

High-resolution determination of the inflammatory infiltrate by NanoString analysis (which was developed for formalin-fixed paraffin-embedded-derived RNA) should be a sufficient approach. *Institute of Pathology, Nephropathology Unit, Hannover Medical School, Germanyīackground & objectives: Different molecular methods like microarrays or quantitative PCRs were used by several groups on renal transplant tissues. Molecular analysis of renal transplant biopsies comparing the Edmonton Molecular Microscope with the NanoString Human Organ Transplant Panel This proof-of-concept shows that mapping of KBC terms to SNOMED CT is feasible, in part directly, in part through post-coordination. We suggested concepts that are needed for this post-coordination.Ĭonclusion: SNOMED CT is considered the standard for documenting, encoding and exchanging medical data in/between health information systems. For the majority of terms that could not be mapped, we found that these could indeed be defined as a compositional expression of pre-existing SNOMED CT concepts (post-coordination). %-matching was more successful for KBC terms designating disease concepts (56%) than patterns of injury (32%). Results: Of glomerular terms, 88/195 (45%) could be matched to SNOMED CT. This process ('post-coordination’) is well supported by SNOMED CT and allows extending its content. For remaining terms, we explored whether these could be defined by combining pre-existing (more simple) SNOMED CT concepts. Methods: For KBC terms for which an unambiguous match with a pre-existing SNOMED CT concept was available, both ‘parent concept’ and the place in the SNOMED taxonomy were established. We explored whether mapping to SNOMED CT is feasible, to enable aggregation and computerized exchange of data.

*UZ Gent, Universiteit Antwerpen, Belgiumīackground & objectives: The “Kidney Biopsy Codes (KBC)” project provides terms that allow any diagnosis and/or histomorphological pattern for a non-neoplastic kidney biopsy to be coded. Kidney biopsy codes for pathologists-mapping to SNOMED CTĪ. OFP-01 Joint Oral Free Paper Session: Uropathology /Nephropathology

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