Query/Retrieve Service Class
E732158
Query/Retrieve Service Class is a DICOM network service that enables querying and retrieving medical imaging studies, series, and images between compliant systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Query/Retrieve Service Class canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8418718 — 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: Query/Retrieve Service Class Context triple: [DICOM Application Entity, supportsServiceClass, Query/Retrieve Service Class]
-
A.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
B.
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.
-
C.
DICOM Application Entity
A DICOM Application Entity is a networked software or device component in medical imaging systems that sends, receives, and processes DICOM messages and services for exchanging clinical data.
-
D.
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.
-
E.
Orthanc
Orthanc is an open-source, lightweight DICOM server and ecosystem designed for medical imaging storage, retrieval, and integration in healthcare and research environments.
- 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: Query/Retrieve Service Class Target entity description: Query/Retrieve Service Class is a DICOM network service that enables querying and retrieving medical imaging studies, series, and images between compliant systems.
-
A.
DICOMweb
DICOMweb is a web-based standard for accessing, storing, and exchanging medical imaging data over HTTP using RESTful services.
-
B.
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.
-
C.
DICOM Application Entity
A DICOM Application Entity is a networked software or device component in medical imaging systems that sends, receives, and processes DICOM messages and services for exchanging clinical data.
-
D.
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.
-
E.
Orthanc
Orthanc is an open-source, lightweight DICOM server and ecosystem designed for medical imaging storage, retrieval, and integration in healthcare and research environments.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
DICOM Query/Retrieve service
ⓘ
DICOM network service class ⓘ |
| category | DICOM network and media service class ⓘ |
| constrains | query keys via DICOM attributes ⓘ |
| dataModel |
DICOM Information Model
ⓘ
linked to:
DICOM Part 3: Information Object Definitions
|
| definedIn | DICOM PS3.4 Service Class Specifications ⓘ |
| distinguishedFrom |
DICOM Modality Worklist Service Class
ⓘ
DICOM Storage Commitment Service Class ⓘ
linked to:
DICOM PS3.4 Service Class Specifications
|
| enables |
query of images
ⓘ
query of medical imaging studies ⓘ query of series ⓘ retrieval of images ⓘ retrieval of medical imaging studies ⓘ retrieval of series ⓘ |
| interactionPattern | request-response over DICOM association ⓘ |
| partOf | DICOM standard ⓘ |
| relatedTo |
DICOM Storage Service Class
ⓘ
linked to:
DICOM C-STORE
|
| requires | DICOM association negotiation ⓘ |
| requiresComplianceWith | DICOM conformance statements ⓘ |
| role |
Service Class Provider
ⓘ
Service Class User ⓘ |
| scope |
image-level queries
ⓘ
patient-level queries ⓘ series-level queries ⓘ study-level queries ⓘ |
| standardizedBy |
DICOM Standards Committee
ⓘ
NEMA ⓘ |
| supports |
asynchronous operations depending on implementation
ⓘ
cross-system interoperability for image access ⓘ hierarchical query of imaging data ⓘ |
| supportsInformationModel |
Patient Root Information Model
ⓘ
Patient/Study Only Information Model ⓘ Study Root Information Model ⓘ |
| supportsMatching | attribute-based query matching ⓘ |
| supportsOperation |
C-FIND
ⓘ
linked to:
DICOM C-FIND
C-GET ⓘ C-MOVE ⓘ |
| usedFor |
PACS query and retrieval
ⓘ
modality image retrieval ⓘ workstation image retrieval ⓘ |
| usedIn |
enterprise imaging systems
ⓘ
hospital PACS environments ⓘ radiology information systems ⓘ |
| uses | SOP Classes for Query/Retrieve ⓘ |
| usesProtocol | DICOM Upper Layer Protocol ⓘ |
| usesTransport | TCP/IP ⓘ |
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: Query/Retrieve Service Class Description of subject: Query/Retrieve Service Class is a DICOM network service that enables querying and retrieving medical imaging studies, series, and images between compliant systems.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.