Features in detail

Find relevant cases by clinical meaning and context.

Cureator Foundation connects imaging, structures, treatment plans, dose data and selected clinical information into searchable treatment contexts. A semantic model based on RDF, OWL, ROO and SPARQL provides the technical foundation.

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Data sources
DICOM CT / MR / PET DICOM metadata RTSTRUCT RTDOSE RTPLAN selected FHIR resources
Semantic data model Knowledge graph for radiotherapy

RDF and OWL represent relationships between imaging, RT objects and selected clinical information. ROO organises radiotherapy concepts, while SPARQL forms part of the technical query foundation. Users access this logic through concrete search and comparison features.

Product use
Case search Viewer DVH Plan comparison dosimetric metrics Cohorts controlled sharing Data export

What it solves

From data silos to connected treatment context.

Cureator Foundation adds a semantic layer across distributed clinical systems. It represents how patient, imaging, structures, plan, dose and selected clinical information belong to one complete case.

Users can start with the clinical question: Which cases meet defined clinical, structural and dosimetric criteria? Which plans belong to one case? Which selected data can be reused for review, research or external AI workflows?

Feature architecture

Eight features, one clinical purpose.

Connect data across systems

Bring together accessible imaging, structure, plan and dose data, together with selected clinical information, through defined interfaces.

RDF, OWL and ROO

Represent relationships between DICOM objects and clinical concepts in a semantic model linked to the Radiation Oncology Ontology.

Query case context precisely

SPARQL forms part of the technical query foundation. Users access connected relationships through defined search fields without having to operate the query language themselves.

Find historical cases

Search cases through combined criteria such as diagnosis, patient data, ROI, ROI volume, available RT objects and dosimetric metrics.

Visualisations and metrics

View CT data and RT objects in the browser and review DVH, ROI volume, RTOG CI and dose wash in case context.

Share and export with control

Provide selected case and series data to authorised users, manage access and export complete DICOM-RT objects with the appropriate permissions.

Prepare research cohorts

Select relevant cases through available criteria and provide connected data for further research on a FAIR-oriented foundation.

Support external AI workflows

Prepare local radiotherapy data for selected external AI applications and compare AI-generated with conventionally created treatment plans.

Semantic case search

Start with the clinical question.

Cureator models the relationships between patients, imaging, structures, plans, dose and clinical information. Users search through defined criteria such as diagnosis, patient data, ROI, ROI volume, available RT objects and dosimetric metrics. SPARQL forms part of the technical query foundation, but users do not need to operate the query language themselves.

Example search and research questions

Build a cohort

Patients over 65 · lung cancer · defined ROI context · CT available

Narrow down historical cases

ICD-10 diagnosis · ROI name · ROI volume · available RTSTRUCT / RTDOSE / RTPLAN

Prepare plan review

DVH · ROI volume · RTOG CI · dose wash in case context

Select research data

Diagnosis · imaging · RT objects · ROI volume · dosimetric metrics

Historical cases

Review historical cases in their complete context.

Medical physics and clinical teams can search historical cases through defined clinical, imaging, structural and dosimetric criteria. Retrieved cases can be reviewed together with imaging, structures, plans, dose and metrics.

Cureator provides the basis for comparison. Clinical evaluation and the decision as to which plan is medically preferable remain with qualified professionals.

PlanRTPLAN · Targets · Parameters
DoseRTDOSE · Dose wash · DVH
StructureRTSTRUCT · ROI · Volume
MetricRTOG CI · Comparison
ContextDiagnosis · Patient data · selected clinical information

Visualisation and metrics

Plan and dose information in case context.

The browser-based viewer displays CT data and radiotherapy objects. DVH, ROI volume, RTOG Conformity Index, dose wash, isodoses and checks for complete RT objects support professional plan review.

DVH

Display dose-volume relationships and compare multiple plans for one case together.

ROI

Display structures and calculate and show ROI volumes.

RTOG CI

Calculate and display the RTOG Conformity Index as a basis for professional plan review.

Dosisfarbdarstellung

Visualise dose distributions using dose wash, isodoses and prescription dose.

Controlled sharing

Provide case information with controlled access.

Selected CT, RTSTRUCT, RTPLAN and RTDOSE data can be made accessible to authorised users. Roles, permissions, authentication and the revocation of access remain under the institution’s control. This supports case discussions, research and configured cross-site workflows.

Select case and data
→
Review the view and completeness
→
Provide authorised access
→
Manage or revoke access

Research and external AI workflows

Prepare data for research and selected AI applications.

Cureator supports the identification of relevant cases and cohorts, the review of connected data and the provision of selected datasets for further research. The semantic foundation is FAIR-oriented. Actual reuse depends on data availability, data quality, approvals, export and external infrastructure.

For external AI workflows, Cureator can select and prepare local radiotherapy data and compare AI-generated with conventionally created treatment plans. Cureator does not itself train an AI model or generate treatment recommendations.

1Select data
2Review context and completeness
3Prepare for research or export
4Compare external results in plan context

Next step

See case search and plan comparison in the product.

In a tailored demo, see how complete cases can be found, reviewed and compared, and how selected data can be reused with control.