The 3DVH Method   

The 3DVH Advantage
3DVH is a next generation patient dose verification and analysis system. 3DVH can use existing IMRT or rotational delivery measurements (e.g. MapCHECK™ or ArcCHECK™) to perform 3D patient dose and DVH QA, effectively eliminating dose-to-phantom guesswork.

Using conventional QA measurements, 3DVH predicts the impact on patient dose and DVH. 3DVH processes the data from a phantom-based geometry and translates to a heterogeneous patient dose-based geometry using a patent pending algorithm called “Planned Dose Perturbation” (PDP™).

3DVH = Patient relevant Dose QA
  • 3DVH presents patient DVH for clinically relevant dose & DVH QA
  • Measured phantom dose differences are transformed to patient dose geometry
  • Patent-pending PDP™ algorithm predicts 3D dose in patient
  • Direct DVH, slice, and point absolute dose comparisons
  • Automatic depth, SSD, and patient geometry physics corrections
  • All major Linac/MLC/energy models included - no beam modeling!
Summary
3DVH avoids the uncertainty and overhead of a duplicate dose calculation engine and introduction of new errors.
The 3D patient planned dose is perturbed using the errors measured in conventional QA.

This is the 3DVH method.

Key Benefits
  • DVH Plan on Patient
    - Use MapCHECK and ArcCHECK high-resolution IMRT QA results to estimate impact on
      Patient Dose and DVH
  • Universal Comparisons
    - Plan 1 vs. Plan 2 for a given TPS
    - TPS 1 Plan vs. TPS 2 Plan using any TPS
    - Modality “X” vs. Modality “Y”
    - More...
Benefits for the Clinician
  • Plan documentation matches QA documentation
  • Detailed dose information for anatomic regions-of-interest
  • Understand any patient plan in clinical detail
  • Make informed decisions for greater comfort levels
  • Automatic depth, SSD, and patient geometry physics corrections
    • Analyze in greater detail when plan quality is questioned
    • See cold and hot spots impact to DVH

    • > See actual dose fall off in target
      > See actual dose impact to critical structures
      > See why more stringent QA is required today