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Deformable versus rigid registration of PET/CT images for radiation treatment planning of head and neck and lung cancer patients: a retrospective dosimetric comparison.
- Source :
-
Radiation oncology (London, England) [Radiat Oncol] 2014 Feb 10; Vol. 9, pp. 50. Date of Electronic Publication: 2014 Feb 10. - Publication Year :
- 2014
-
Abstract
- Background: The purpose of this study is to evaluate the clinical impact of using deformable registration in tumor volume definition between separately acquired PET/CT and planning CT images.<br />Methods: Ten lung and 10 head and neck cancer patients were retrospectively selected. PET/CT images were registered with planning CT scans using commercially available software. Radiation oncologists defined two sets of gross tumor volumes based on either rigidly or deformably registered PET/CT images, and properties of these volumes were then compared.<br />Results: The average displacement between rigid and deformable gross tumor volumes was 1.8 mm (0.7 mm) with a standard deviation of 1.0 mm (0.6 mm) for the head and neck (lung) cancer subjects. The Dice similarity coefficients ranged from 0.76-0.92 and 0.76-0.97 for the head and neck and lung subjects, respectively, indicating conformity. All gross tumor volumes received at least 95% of the prescribed dose to 99% of their volume. Differences in the mean radiation dose delivered to the gross tumor volumes were at most 2%. Differences in the fraction of the tumor volumes receiving 100% of the radiation dose were at most 5%.<br />Conclusions: The study revealed limitations in the commercial software used to perform deformable registration. Unless significant anatomical differences between PET/CT and planning CT images are present, deformable registration was shown to be of marginal value when delineating gross tumor volumes.
- Subjects :
- Aged
Carcinoma, Non-Small-Cell Lung pathology
Head and Neck Neoplasms pathology
Humans
Image Processing, Computer-Assisted methods
Lung Neoplasms pathology
Middle Aged
Multimodal Imaging
Radiometry
Radiotherapy Dosage
Retrospective Studies
Software
Tumor Burden
Carcinoma, Non-Small-Cell Lung radiotherapy
Head and Neck Neoplasms radiotherapy
Lung Neoplasms radiotherapy
Positron-Emission Tomography
Radiotherapy Planning, Computer-Assisted methods
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 1748-717X
- Volume :
- 9
- Database :
- MEDLINE
- Journal :
- Radiation oncology (London, England)
- Publication Type :
- Academic Journal
- Accession number :
- 24512755
- Full Text :
- https://doi.org/10.1186/1748-717X-9-50