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Validation of Varian's SmartAdapt® deformable image registration algorithm for clinical application.

Ihab S Ramadaan1,2, Karsten Peick3, David A Hamilton4

  • 1Department of Radiation Oncology, Wellington Blood and Cancer Centre, Wellington Hospital, Private Bag 7902, 6242, Wellington, New Zealand. Ihab.Ramadaan@ccdhb.org.nz.

Radiation Oncology (London, England)
|April 19, 2015
PubMed
Summary
This summary is machine-generated.

SmartAdapt automatic contour propagation saves Radiation Oncologists time when re-contouring structures on mid-treatment CT scans for head and neck cancer patients. Careful review is essential, especially for areas with tumor regression.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Medical Imaging

Background:

  • Re-contouring anatomical structures on serial CT images for head and neck cancer patients with anatomical changes is time-consuming.
  • Automatic contour propagation aims to reduce this workload and improve treatment planning efficiency.

Purpose of the Study:

  • To validate the accuracy and usefulness of SmartAdapt, a deformable image registration (DIR) application, for automatic contour propagation in head and neck cancer patients.
  • To assess the time savings and accuracy of DIR-generated contours compared to manual re-contouring.

Main Methods:

  • Eight head and neck cancer patients with multiple planning CTs were analyzed.
  • SmartAdapt was used to register CT images and propagate contours from the primary planning CT.
  • DIR-generated structures were compared against independently contoured structures by a Radiation Oncologist (RO) and DIR structures reviewed/modified by an RO.

Main Results:

  • DIR significantly reduced the time required for structure delineation on mid-treatment CTs.
  • Quantitative analysis showed 84% volume overlap with independent contours and 94% overlap with RO-reviewed DIR contours.
  • Qualitative analysis indicated 92% of DIR structures required no or minor modifications by the RO.

Conclusions:

  • SmartAdapt demonstrates sufficient accuracy and provides considerable time savings for re-contouring structures on re-CTs.
  • Mandatory careful review of DIR-generated structures is crucial, particularly in regions affected by tumor regression.