--- title: FHIR SR - Liver tags: fhir-project --- <font color="red">FHIR</font> SR - Bone Fracture === ## Table of Contents [TOC] ## 1. Introduction ![](https://i.imgur.com/CndhGEX.png =300x250) This page is a sub-chapter of [FHIR Medical Imaging Structured](Reporthttps://hackmd.io/@victoriatjia/fhir-finding-report) which focus on define image finding form and diagnostic report template of liver ## 2. Methods Step 1. Define the finding report template in excell table ![](https://i.imgur.com/WwutjzF.png) Step 2. Define the value set of each field Value set example: <table> <tr><th colspan="2" style="text-align :center">Location (src: http://MISAC.org/codeSystem/massLocation)</th></tr> <tr> <th style="text-align :center">Code</th> <th style="text-align :center">Desc</th> </tr> <tr> <td>LiverRightLobe</td> <td>Right lobe</td> </tr> <tr> <td>LiverLeftLobe</td> <td>Left lobe</td> </tr> <tr> <td>LiverCaudateLobe</td> <td>Caudate lobe</td> </tr> <tr> <td>LiverQuadrateLobe</td> <td>Quadrate lobe</td> </tr> <tr> <td>LiverSegmentalLocation</td> <td>Segmental location (specify)</td> </tr> <tr> <td>Other</td> <td>Other (specify)</td> </tr> </table> <table> <tr><th colspan="2" style="text-align :center">Margin (src: http://MISAC.org/codeSystem/massMargin)</th></tr> <tr> <th style="text-align :center">Code</th> <th style="text-align :center">Desc</th> </tr> <tr> <td>CircumscribedMargin</td> <td>Circumscribed Margin</td> </tr> <tr> <td>MicrolobulatedMargin</td> <td>Microlobulated Margin</td> </tr> <tr> <td>ObscuredMargin</td> <td>Obscured Margin</td> </tr> <tr> <td>IndistinctMargin</td> <td>Indistinct Margin</td> </tr> <tr> <td>SpiculatedMargin</td> <td>Spiculated Margin</td> </tr> </table> Step 3. Convert finding template into FHIR Observation ```gherkin= { "resourceType": "Observation", "status": "final", "code": { "coding": [ { "system": "http://MISAC.org/codeSystem/ObservationCodes", "code": "abnormalityMassObservation", "display": "Abnormality Mass observation" } ], "text": "Mass" }, "subject": { "reference": "Patient/2" }, /*LOCATION*/ "bodySite": { "coding": [ { "system": "http://MISAC.org/codeSystem/massLocation", "code": "LiverLeftLobe", "display": "Left Lobe" } ], "text": "Left Lobe" }, /*END LOCATION*/ "derivedFrom": [ { "reference": "Observation/20" } ], "component": [ { /*SIZE*/ "code": { "coding": [ { "system": "http://MISAC.org/codeSystem/massSize", "code": "mass.size", "display": "mass.size" } ] }, "valueQuantity": { "value": 3.5, "unit": "cm", "system": "http://unitsofmeasure.org", "code": "cm" } /*END SIZE*/ }, { /*SHAPE*/ "code": { "coding": [ { "system": "http://MISAC.org/codeSystem/massShape", "code": "mass.shape", "display": "mass.shape" } ] }, "valueCodeableConcept": { "coding": [ { "system": "http://snomed.info/sct", "code": "IrregularShapedLesion", "display": "Irregular shaped lesion" } ] } /*END SHAPE*/ }, { /*MARGIN*/ "code": { "coding": [ { "system": "http://MISAC.org/codeSystem/massMargin", "code": "mass.margin", "display": "mass.margin" } ] }, "valueCodeableConcept": { "coding": [ { "system": "http://MISAC.org/codeSystem/massMargin", "code": "LiverCaudateLobe", "display": "Caudate Lobe" } ] } /*END MARGIN*/ }, { /*DENSITY*/ "code": { "coding": [ { "system": "http://MISAC.org/codeSystem/massDensity", "code": "mass.density", "display": "mass.density" } ] }, "valueCodeableConcept": { "coding": [ { "system": "http://MISAC.org/codeSystem/massDensity", "code": "HighDensity", "display": "High Density" } ] } /*END DENSITY*/ } ] } ``` src: https://tzfhir1.ml/fhirvh/fhir/Observation/1453 ## 4. References - [Liver Observation LI-RADS](https://www.acr.org/-/media/ACR/Files/Clinical-Resources/LIRADS/Chapter-7-The-LIRADS-observation.pdf) - [Liver Diagnostic Report Code CT/MRI LI-RADS](https://www.acr.org/-/media/ACR/Images/Clinical-Resources/RADS/LI-RADS/LI-RADSv2018.JPG) - [LI-RADS Structured Report Liver CT and MRI](https://pubs.rsna.org/doi/10.1148/rg.2021200205) - [Liver HCC Finding report template](https://documents.cap.org/protocols/Liver.HCC_4.3.0.0.REL_CAPCP.pdf) - [AI in assessment of hepatocellular carcinoma treatment response](https://www.researchgate.net/publication/350523686_Artificial_intelligence_in_assessment_of_hepatocellular_carcinoma_treatment_response) - https://www.researchgate.net/figure/Example-report-template-for-a-treated-liver-lesion-based-on-LI-RADS-v2018_fig2_350523686 - https://www.researchgate.net/figure/Sample-MR-reports-a-Sample-with-LI-RADS-structured-template-b-Sample-free-text_fig2_344049425 - [Liver finding type](https://link.springer.com/book/10.1007/b137465?noAccess=true)