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Evaluation of kV cone-beam ct performance for prostate IGRT: a comparison of automatic grey-value alignment to implanted fiducial-marker alignment.
- Source :
-
American journal of clinical oncology [Am J Clin Oncol] 2011 Feb; Vol. 34 (1), pp. 16-21. - Publication Year :
- 2011
-
Abstract
- Purpose: Cone-beam computed tomography (CBCT) is a new image-guided radiation therapy (IGRT) technique for patient alignment in radiotherapy. The CBCT x-ray volume imaging system from Elekta allows for a variety of alignment methods. The aim of this study is to assess the accuracy of soft-tissue-based automatic alignment as compared with manual alignment using intraprostatic fiducials.<br />Methods and Materials: All patients were treated on an Elekta Synergy S linear accelerator with kilovoltage CBCT. All alignments were performed using the x-ray volume imaging system and associated software. Automatic alignment with gray-value-based registration and manual alignment to fiducial markers were performed. Transitional corrections along each axis as well as 3-dimensional vectors were compared with evaluate the accuracy of gray-value-based registration compared with fiducials.<br />Results: The distribution of the 3-dimensional vectors between gray-value and fiducial registrations demonstrated notable differences. The mean summed vector was 0.75 cm, with a standard deviation (SD) of 0.52 cm and range from 0.04 to 2.06 cm. There was minimal difference along the lateral direction, with a mean ± SD of -0.02 cm ± 0.13 cm. However, there were large discrepancies along the superior-inferior and anterior-posterior direction alignments, with mean ± SD values of -0.55 ± 0.48 cm and -0.31 ± 0.43 cm, respectively.<br />Conclusions: CBCT with soft-tissue-based automatic corrections is not an accurate alignment compared with manual alignment to fiducial markers for prostate IGRT. We have concluded that a daily manual alignment to fiducials is one of the most reliable methods to maintain accuracy in prostate IGRT.
- Subjects :
- Humans
Male
Neoplasm Staging
Pattern Recognition, Automated
Prognosis
Prostheses and Implants
Radiographic Image Interpretation, Computer-Assisted
Radiotherapy, Intensity-Modulated
Retrospective Studies
Adenocarcinoma diagnostic imaging
Adenocarcinoma radiotherapy
Cone-Beam Computed Tomography
Fiducial Markers
Prostatic Neoplasms diagnostic imaging
Prostatic Neoplasms radiotherapy
Radiographic Image Enhancement
Subjects
Details
- Language :
- English
- ISSN :
- 1537-453X
- Volume :
- 34
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- American journal of clinical oncology
- Publication Type :
- Academic Journal
- Accession number :
- 21189455
- Full Text :
- https://doi.org/10.1097/COC.0b013e3181d26b1a