Towards clinical implementation of ultrafast combined kV-MV CBCT for IGRT of lung cancer : Evaluation of registration accuracy based on phantom study

Strahlenther Onkol. 2016 May;192(5):312-21. doi: 10.1007/s00066-016-0947-2. Epub 2016 Feb 10.

Abstract

Purpose: Combined kV-MV cone-beam CT (CBCT) is a promising approach to accelerate imaging for patients with lung tumors treated with deep inspiration breath-hold. During a single breath-hold (15 s), a 3D kV-MV CBCT can be acquired, thus minimizing motion artifacts and increasing patient comfort. Prior to clinical implementation, positioning accuracy was evaluated and compared to clinically established imaging techniques.

Methods and materials: An inhomogeneous thorax phantom with four tumor-mimicking inlays was imaged in 10 predefined positions and registered to a planning CT. Novel kV-MV CBCT imaging (90° arc) was compared to clinically established kV-chest CBCT (360°) as well as nonclinical kV-CBCT and low-dose MV-CBCT (each 180°). Manual registration, automatic registration provided by the manufacturer and an additional in-house developed manufacturer-independent framework based on the MATLAB registration toolkit were applied.

Results: Systematic setup error was reduced to 0.05 mm by high-precision phantom positioning with optical tracking. Stochastic mean displacement errors were 0.5 ± 0.3 mm in right-left, 0.4 ± 0.4 mm in anteroposterior and 0.0 ± 0.4 mm in craniocaudal directions for kV-MV CBCT with manual registration (maximum errors of no more than 1.4 mm). Clinical kV-chest CBCT resulted in mean errors of 0.2 mm (other modalities: 0.4-0.8 mm). Similar results were achieved with both automatic registration methods.

Conclusion: The comparison study of repositioning accuracy between novel kV-MV CBCT and clinically established volume imaging demonstrated that registration accuracy is maintained below 1 mm. Since imaging time is reduced to one breath-hold, kV-MV CBCT is ideal for image guidance, e.g., in lung stereotactic ablative radiotherapy.

Keywords: Cone-beam computed tomography; Image-guided radiotherapy; Lung neoplasms; Patient positioning; kV-MV imaging.

Publication types

  • Evaluation Study

MeSH terms

  • Computer-Aided Design
  • Cone-Beam Computed Tomography / instrumentation*
  • Equipment Design
  • Equipment Failure Analysis
  • Humans
  • Imaging, Three-Dimensional / instrumentation*
  • Lung Neoplasms / diagnostic imaging*
  • Lung Neoplasms / radiotherapy*
  • Phantoms, Imaging
  • Radiographic Image Enhancement / methods
  • Radiotherapy Dosage
  • Radiotherapy, Image-Guided / instrumentation*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Subtraction Technique*
  • Systems Integration