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--- documentation:oncology:meeting_notes_2017_apr_04 [2017/04/10 02:43]
rimma_belenkaya1
+++ documentation:oncology:meeting_notes_2017_apr_04 [2017/04/10 03:36]
rimma_belenkaya1
@@ Line 14: / Line 14: @@
 **Exploratory data set**
 ·         Christian would try putting together a working data set
 **ICD-O-3 overview**
-·         Mike outlined the ICD-O-3 that granularly captures the anatomic and morphological/behavior that can be mapped to the condition_occurence in the OMOP CDM model.
+[[https://drive.google.com/file/d/0Bzcc8twUxevJcVpybm8zX2dUZWs/view?usp=sharing.| Michael Gurley's ICD-O-3 Presentation and proposal for CDM cancer diagnosis modeling ]]
+  * ICD-O-3 provides most granular representation of cancer diagnosis including anatomic side and morphological/behavior.
+  * Diagnosis can be represented in condition_occurence
+**ICD-O-3 Mapping**
+  * Iker suggested that NCI Metatethaurus provides mapping of ICD-O-3 to SNOMED and some other vocabularies
+  * Memorial Sloan Kettering (MSK) Oncotree mapping
-·         Iker suggested that the ICD-O-3 could be mapped to SNOMED and agreed to provide some links to the group.
+At MSK we maintain a cancer tumor terminology called oncotree  (which is publicly available)
+http://oncotree.mskcc.org/oncotree/
+We also have a public API that maps ICDO site and histology combinations to Oncotree concepts, which at the same time are mapped to NCI Thesaurus and UMLS, see
+http://oncotree.mskcc.org/oncotree-mappings/
+An example for that API would be
+http://oncotree.mskcc.org/oncotree-mappings/crosswalk?vocabularyId=ICDO&conceptId=&histologyCode=8490/3&siteCode=C16.1

Observational Health Data Sciences and Informatics

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