Quality Matters.
In oncology trials,radiotherapy quality is a variable too.
Aitrium is the all-in-one platform for radiotherapy data collection, analysis, and review. We built it so quality assurance can be standard practice in every trial that needs it.
Every point on a survival curve is a person. When their radiotherapy varies unmeasured, the trial can misjudge the treatment.
Radiotherapy itself can be a confounding variable,and too few trials control for it.
The same tumor, outlined differently. The same prescription, delivered differently. Whole regimens that shift from one patient to the next. Each difference adds noise, and noise can bury a real drug effect, or flatter a false one.
With Aitrium, sponsors can measure the impact of radiation planning quality without spending millions, and without pushing DBL deadlines.
Radiotherapy quality is not random.Unmeasured, it is bias in your efficacy data.
Poor radiation quality measurably worsens survival.
Radiotherapy quality should be measuredin every trial, every time.
Radiotherapy QA should be as routine, and as unremarkable, as the data standards drug sponsors already meet.
CDISC began as a private data standard, built by an industry consortium and adopted by consensus, then ratified into an FDA requirement. Today you cannot get a drug approved without it. We believe radiotherapy standards can follow the same consensus-led path.
Radiotherapy QA is proven.Now, it's packaged for commercial trials.
Decades of QA infrastructure
- Credentialing, phantom audits, and plan review
- Deviation detection and reporting built in
- A mature, trusted quality apparatus
- but voluntary, not an FDA requirement
Quality inconsistently required
- RT quality inconsistently required across programs
- Half never report protocol deviations
- No FDA data-quality standard to meet
- yet these carry the drug to approval
One platform for the entire radiotherapy trial workflow, from first upload to final read.
What made radiotherapy QA impractical at scale was the manual work between steps. Aitrium runs the entire flow as one throughline, from the first patient.
Data Collection
Enroll sites and patients in minutes. Automated protocol ingestion generates rich collection schedules, and a typical upload is delivered in under two minutes with validation built in.
Analysis & Aggregation
Standardization and automated QA scorecards, with a wide range of insights generated before any human review.
Review Workspace Automation
Adherence enforced automatically, so deviations are caught before central review. Queue, triage, and routing handled by the protocol.
Review Environment
A reviewer-grade, protocol-informed DICOM workspace where the final read happens.
1. Median 98 seconds start to finish, including user review; median active processing 41 seconds. 54 production submissions across 10 clinical institutions in 6 countries (March to July 2026), measured from platform audit telemetry.
Patient data stays between your sites and your sponsors.
Data is sent directly from the providing center to the sponsor's secure FTP, over channels your teams have already secured, reviewed, and approved. Aitrium orchestrates the workflow around that transfer: the protocol, the validation, the audit trail. Never the images themselves.
That architecture is deliberate. It leverages the security work your organizations have already done instead of adding to it: no new custodian of your images, no third-party image store to assess, no additional hop between your sites and your sponsors.
- ✓ Built to operate under GDPR, HIPAA, and privacy frameworks worldwide
- ✓ All data encrypted in transit and at rest
- ✓ Role-based access control down to the trial level
- ✓ Comprehensive audit logging for every data-submission action
