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Table 2 Requirements for accuracy

From: Making the right software choice for clinically used equipment in radiation oncology

Data import, data registration and structure contouring

Minimal

Enhanced

Optimal

Import of external CT, MRI or PET data

Registration of any number of data sets

Flexible registration between CT and CT

Automatic rigid registration of 2 different data sets (e.g. CT and MRI) based on grey scale values

Automatic registration error measured in a phantom ≤ 0.5 mm

Flexible registration between different data sets

Registration of the planned CT with a combined PET-CT

Propagation of a structure to any registered data set

Flexible registration variable selectable in both directions

Automatic registration error measured in a phantom ≤ 1 mm

The propagated structure automatically receives a new name and / or a specific index

Automatic registration error measured in a phantom ≤ 0.2 mm

Structures can be copied to both sides between rigid registered data sets

Correction tools for example to cleanup pixels out of a selected VOI

Structures can be copied to both sides between flexible registered data sets

Structure from one dataset is representable in all registered data sets

  

Boolian operations (AND, OR, NOT)

  

Automatic expansion and contraction of structures with margins selectable in all three-dimensional directions

  

Density override

  

Requirements for treatment planning

Minimal

Enhanced

Optimal

Conventional IMRT possible (step-and-shoot or sliding-window IMRT)

Volumetric IMRT possible (e.g. RapidArc or VMAT)

Volumetric IMRT with more than one arc and selectable segments

Create sum of treatment plans calculated on one data set

Direct manual manipulation of the fluences possible

Biological optimization and calculation

Use of more than one isocenter in one treatment plan

IMRT optimization with a DVH based declaration of the constrains

Flattening filter free mode planning

Non-coplanar fields are applicable (even for IMRT)

Dose and field entries and exits presentable on the body contour

Create sum of treatment plans calculated on flexible registered data sets

Display option of a structure in the BEV (e.g. for adjustment of saturation fields)

Reference dose can be applied to the treatment plan without linking to an anatomic location of the data set

Fit of isodoses to PTV or OAR by dragging the isodoses

Possibility of using a treatment plan as a base dose plan for a new optimization

TCP and NTCP model calculation included

 

Convert an isodose to a structure

  

Calculation and export of dose matrices (fluence) in transversal, sagittal and coronar slices

  

Transfer of the fluence distribution on any CT data set and any phantom for the physical verification of dose

  

Adjustable calculation grid

  

Requirements for patient verification

Minimal

Enhanced

Optimal

2D fluoroscopic images and CBCT images producible in the treatment room directly before any fraction

  

Fast execution, high solution, good clinical image quality

  

Image overlay between the DRR of the treatment plan and the verification images (2D planar images)

  

Image overlay between the CT slices of the treatment plan and the verification images (CBCT)

  

Automatic matching and manual matching possible