DICOM structured reports
E732160
DICOM structured reports are standardized, machine-readable documents used in medical imaging to encode, store, and exchange detailed diagnostic findings and measurements alongside images.
All labels observed (7)
How this entity was disambiguated
This entity first appeared as the object of triple T8418723 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DICOM structured reports Context triple: [DICOM Application Entity, exchangesDataType, DICOM structured reports]
-
A.
DICOM standard
The DICOM standard is a widely used international specification for handling, storing, transmitting, and displaying medical imaging information and related data.
-
B.
DICOM Part 10: Media Storage and File Format
DICOM Part 10: Media Storage and File Format is the section of the DICOM standard that defines how medical images and related data are encapsulated, structured, and stored in files for exchange and archiving across different systems.
-
C.
DICOM Unique Identifier (UID)
DICOM Unique Identifier (UID) is a globally unique numeric string used in medical imaging to unambiguously identify objects such as studies, series, images, and other DICOM entities.
-
D.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
E.
DICOMweb STOW-RS
DICOMweb STOW-RS is a web-based DICOM service that enables clients to store medical imaging studies and related data over HTTP using RESTful APIs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DICOM structured reports Target entity description: DICOM structured reports are standardized, machine-readable documents used in medical imaging to encode, store, and exchange detailed diagnostic findings and measurements alongside images.
-
A.
DICOM standard
The DICOM standard is a widely used international specification for handling, storing, transmitting, and displaying medical imaging information and related data.
-
B.
DICOM Part 10: Media Storage and File Format
DICOM Part 10: Media Storage and File Format is the section of the DICOM standard that defines how medical images and related data are encapsulated, structured, and stored in files for exchange and archiving across different systems.
-
C.
DICOM Unique Identifier (UID)
DICOM Unique Identifier (UID) is a globally unique numeric string used in medical imaging to unambiguously identify objects such as studies, series, images, and other DICOM entities.
-
D.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
E.
DICOMweb STOW-RS
DICOMweb STOW-RS is a web-based DICOM service that enables clients to store medical imaging studies and related data over HTTP using RESTful APIs.
- F. None of above. chosen
Statements (85)
| Predicate | Object |
|---|---|
| instanceOf |
DICOM information object definition
ⓘ
medical imaging report format ⓘ standardized healthcare document ⓘ |
| canBeRenderedAs |
graphical overlays linked to images
ⓘ
human-readable narrative report ⓘ tables of measurements ⓘ |
| commonlyUsesCodingScheme |
LOINC
ⓘ
RadLex ⓘ SNOMED CT ⓘ UCUM ⓘ |
| definedIn |
DICOM PS3.17 Explanatory Information
ⓘ
DICOM PS3.3 Information Object Definitions ⓘ
linked to:
DICOM Part 3: Information Object Definitions
DICOM PS3.4 Service Class Specifications ⓘ DICOM PS3.6 Data Dictionary ⓘ |
| enables |
automated post-processing workflows
ⓘ
clinical decision support ⓘ data mining of imaging findings ⓘ interoperable exchange of imaging reports ⓘ quantitative imaging biomarker analysis ⓘ |
| hasGoal |
enable consistent encoding of findings
ⓘ
facilitate automated analysis of imaging data ⓘ improve interoperability of imaging reports ⓘ |
| hasKeyFeature |
explicit semantics via codes
ⓘ
linkage between images and findings ⓘ machine-processable structure ⓘ support for audit trails via content item identifiers ⓘ support for quantitative analysis ⓘ support for templates ⓘ |
| hasModalityUse |
CT imaging
ⓘ
MR imaging ⓘ cardiology ⓘ nuclear medicine ⓘ radiation therapy ⓘ radiology ⓘ ultrasound ⓘ |
| hasPrimaryUse |
encoding diagnostic findings
ⓘ
encoding quantitative measurements ⓘ exchanging structured imaging reports ⓘ storing imaging-derived observations ⓘ |
| hasSOPClassUIDType |
Structured Report Storage
ⓘ
linked to:
DICOM structured reports
|
| hasSubtype |
Basic Text SR
ⓘ
Chest CAD SR ⓘ Colon CAD SR ⓘ Comprehensive SR ⓘ Enhanced SR ⓘ Implantation Plan SR ⓘ Key Object Selection Document ⓘ Mammography CAD SR ⓘ Ophthalmic Visual Field Static Perimetry Report ⓘ Procedure Log SR ⓘ Radiation Dose Structured Report ⓘ
linked to:
DICOM structured reports
Spectacle Prescription Report ⓘ TID-based template SR instances ⓘ X-Ray Radiation Dose SR ⓘ
linked to:
Röntgen radiation
|
| isEncodedAs |
DICOM SOP Instance
ⓘ
linked to:
DICOM PS3.5 Data Structures and Encoding
|
| isExchangedVia |
DICOM C-STORE
ⓘ
DICOM network services ⓘ DICOM web services ⓘ
linked to:
DICOMweb
DICOMweb QIDO-RS ⓘ
linked to:
DICOMweb
DICOMweb STOW-RS ⓘ DICOMweb WADO-RS ⓘ
linked to:
DICOMweb
|
| isHumanReadable | true ⓘ |
| isMachineReadable | true ⓘ |
| isStoredIn |
PACS
ⓘ
VNA ⓘ |
| partOf | DICOM standard ⓘ |
| supports |
coded terminology
ⓘ
hierarchical content structure ⓘ references to DICOM images ⓘ references to other DICOM objects ⓘ references to waveforms ⓘ |
| supportsWorkflow |
clinical trials data collection
ⓘ
dose monitoring and reporting ⓘ quality assurance of imaging procedures ⓘ registry data submission ⓘ structured reporting in radiology information systems ⓘ |
| uses |
DICOM attributes for content items
ⓘ
DICOM relationship types ⓘ DICOM value types ⓘ standardized coding schemes ⓘ |
| usesConcept |
Content Item
ⓘ
Content Tree ⓘ Root Content Item ⓘ by-reference relationships ⓘ by-value relationships ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: DICOM structured reports Description of subject: DICOM structured reports are standardized, machine-readable documents used in medical imaging to encode, store, and exchange detailed diagnostic findings and measurements alongside images.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: DICOM structured reports
linked to: DICOM structured reports
linked to: DICOM structured reports
linked to: DICOM structured reports
linked to: DICOM structured reports
linked to: DICOM structured reports