HL7 FHIR Implementation Guide: Breast Cancer Data, Release 1 - US Realm (Draft for Comment 2)

This page is part of the Breast Cancer Data Logical Models and FHIR Profiles (v0.2.0: STU 1 Draft) based on FHIR R3. . For a full list of available versions, see the Directory of published versions

DCISNuclearGradeVS

BC DCISNuclearGradeVS ValueSet

The nuclear grade describes how closely the nuclei of cancer cells look like the nuclei of normal breast cells. In general, the higher the nuclear grade, the more abnormal the nuclei are and the more aggressive the tumor cells tend to be. In breast cancer, nuclear grade is typically evaluated for ductal carcinoma in situ (DCIS) only.

Defining URL:http://hl7.org/fhir/us/breastcancer/ValueSet/oncology-DCISNuclearGradeVS
Version:0.2.0
Name:DCISNuclearGradeVS
Definition:

The nuclear grade describes how closely the nuclei of cancer cells look like the nuclei of normal breast cells. In general, the higher the nuclear grade, the more abnormal the nuclei are and the more aggressive the tumor cells tend to be. In breast cancer, nuclear grade is typically evaluated for ductal carcinoma in situ (DCIS) only.

Publisher:The HL7 Cancer Interoperability Group sponsored by Clinical Interoperability Council Work Group (CIC)
Source Resource:XML / JSON / Turtle
Downloads: XML, JSON, Turtle

Expansion

This value set contains 4 concepts

All codes from system http://snomed.info/sct

CodeDisplayDefinition
369781009Ductal carcinoma in situ nuclear pleomorphism, grade 1: monotonous nuclei, 1.5 - 2.0 red blood cells diameters, with finely dispersed chromatin and only occasional nucleoli (finding)
369782002Ductal carcinoma in situ nuclear pleomorphism, grade 2: neither nuclear grade 1 nor nuclear grade 3 (finding)
369783007Ductal carcinoma in situ nuclear pleomorphism, grade 3: Markedly pleomorphic nuclei, usually >2.5 red blood cells diameters, with coarse chromatin and multiple nucleoli (finding)
384741006Grade cannot be determined (finding)

References

This value set is used by the following logical models, profiles and extensions: