Monitor-unit miscalc
MU errors that pass TPS sanity checks but deliver the wrong dose at the machine.
INTDose · Independent Dose Verification Platform
Fast and Accurate Independent Dose Verification
FDA 510(k) K213137, cleared 2022. A TPS-neutral Monte Carlo recalculation that shares no engine, beam data, or geometry with your planning system. Under 5 minutes per plan.
See it in action
INTDose walkthrough
A 90-second walkthrough of the typical clinical workflow — DICOM import through gamma analysis and PDF report.
What it catches
The errors a TPS won't flag
An independent engine catches what a self-consistent one can't. The classes of failure INTDose is positioned to find:
Contour vs delivery mismatch
When the planning contour set does not match what is delivered — geometry drift between TPS export and treatment.
Compounding monthly drift
Small machine-output variations that accumulate over a course of treatment and only show up across many plans.
Wrong modality / energy
Plans tagged with the wrong photon energy or modality flag — a TPS will compute happily on the wrong assumption.
MLC leaf-position issues
Leaf-position errors below the TPS tolerance threshold that an independent geometry pass surfaces.
Geometric handling differences
Where the TPS and the linac disagree on coordinate frames or beam geometry — caught by recomputing from first principles.
How it works
DICOM-RT in. PDF report out. Under 5 minutes
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01
Import DICOM-RT
Plan, CT, RT structure, and RT dose — DICOM push from PACS, direct upload, or Varian API. No manual entry.
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02
Recompute, parameter-independent
Full Monte Carlo on the original CT with the planned beams and an independent machine model. Shares no engine, beam data, or geometry with the TPS.
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03
Gamma + DVH compare
3-D gamma index at clinical tolerances (3%/2mm, 3%/3mm). Per-structure DVH overlay shows where doses diverge.
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04
Archive a PDF report
Mean-dose comparison (global + OAR-stratified), gamma map, 1-D and 2-D dose profiles. Filed alongside the planning record.
What makes INTDose different
Three things to trust
A secondary-check tool earns its place by answering three questions: is it actually independent, is the number accurate, and does it slow your day down?
A second check that is actually independent
- Different engine, different beam data, different geometry handling than your TPS.
- The errors a self-consistent TPS can't catch on itself — MU miscalculations, MLC drift, modality mistags, geometric mismatches — INTDose surfaces.
- 3-D gamma index at clinical tolerances (3%/2mm, 3%/3mm) and per-structure DVH overlays show where doses diverge.
Monte Carlo, validated to a number you can stand behind
- Full Monte Carlo recalculation on in-house virtual source models — the gold standard for dose deposition, computed from first principles.
- Depth-dose and off-axis profiles validated within 1% of Varian Gold beam data. Per-machine commissioning (jaw, MLC, latency, HU-to-density) keeps the simulation matched to measured output.
- FDA 510(k) K213137 cleared 2022. AAPM TG-119 and TG-244 validated. Recommended by TG-114 and TG-219 as part of a comprehensive QA program.
Runs alongside your clinical day, not in front of it
- Under 5 minutes per plan on typical clinical hardware. Pre-treatment QA without disrupting the schedule.
- Installed locally as a web service. DICOM push, direct upload, or Varian API — no manual entry.
- Automatic task execution polls for new studies and runs verification without operator action. PDF report files alongside the planning record.
Evidence
Standards, validation, and publications
Standards & validation
FDA 510(k)
K213137
Cleared 2022. Software for radiation treatment plan QA. See compliance →
AAPM standards alignment
- TG-114 & TG-219 — recommended secondary-check program for MU and IMRT/VMAT
- TG-119 — IMRT commissioning validated
- TG-244 — Monte Carlo dose-engine validated
Beam model accuracy
In-house virtual source models describe the radiation field at each machine's treatment head. Depth-dose and off-axis profiles measured within 1% of Varian Gold beam data across the commissioned set.
Peer-reviewed publications
The Monte Carlo engine and virtual-source models behind INTDose are published across more than a decade of medical-physics literature.
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Development of a virtual source model for Monte Carlo-based independent dose calculation for Varian linac
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Phantomless patient-specific TomoTherapy QA
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A virtual source model for Monte Carlo simulation of helical tomotherapy
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Investigation of nonuniform dose voxel geometry in Monte Carlo calculations
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Validation of GPU-based TomoTherapy dose calculation engine
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Monte Carlo-based simulation of dynamic jaws tomotherapy
Compatibility & workflow
Where INTDose fits
On-premise. TPS-neutral. Integrates into the workflow you already run.
Treatment machines
- Varian conventional linacs
- Varian Halcyon
- TomoTherapy
Treatment planning systems
- Varian Eclipse
- Philips Pinnacle
Modalities & techniques
- Photons
- 3-D conformal (3DCRT)
- IMRT
- VMAT
Integration
- DICOM listener (push from PACS)
- Web upload from disk
- Varian API integration
- Automatic task execution (poll new studies)