Megavoltage computed tomography: an emerging tool for image-guided radiotherapy.
BACKGROUND
Helical tomotherapy is a unique approach to image-guided IMRT that combines features of a linear accelerator and a CT scanner. This design allows generation of megavoltage CT (MVCT) images, which among other uses, are used to verify daily setup. In this study, we assessed the image-quality, absorbed radiation doses, and clinical practicality of MVCT from our helical tomotherapy prototype unit.


METHODS
Phantom studies were first performed to assess the capabilities of MVCT. Next, MVCT images from human patients prospectively enrolled on institutional review board-approved imaging and treatment protocols were analyzed. MVCT was obtained using a 4-MV beam from the University of Wisconsin helical tomotherapy prototype device. These scans were compared with conventional kilovoltage (kVCT) images from a diagnostic CT scanner.


RESULTS
MVCT images in phantoms demonstrate an ability to detect contrast differences as small as 3%. Small objects, 1.2 to 1.6 mm, were seen with good resolution. In human subjects, MVCT imaging of tumor targets and normal anatomy revealed sufficient detail for patient repositioning. MVCT imaging of metallic objects showed minimal artifact in comparison with kVCT. Patient scans were obtained in about 1 to 5 minutes and resulted in absorbed radiation doses of 1.5 to 3 cGy.


CONCLUSIONS
MVCT is an elegant pretreatment position and setup verification tool. MVCT images of human subjects obtained from the helical tomotherapy unit showed good resolution and contrast. The high-quality three-dimensional information permits its use in day-to-day setup verification. The unique properties of MVCT also provide the potential for primary imaging of anatomic regions near metal prostheses as well as nonmedical applications. Additional investigations are underway to improve image quality, further reduce patient dose, and aid adaptive radiotherapy and dose reconstruction.
Hong
Theodore S
TS
Department of Human Oncology, University of Wisconsin Medical School, Madison, WI, USA.
Welsh
James S
JS
Ritter
Mark A
MA
Harari
Paul M
PM
Jaradat
Hazim
H
Mackie
T Rockwell
TR
Mehta
Minesh P
MP
D000465:Algorithms; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008297:Male; D009369:Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy; D019047:Phantoms, Imaging; D011881:Radiotherapy, Computer-Assisted / Q000379:methods*; D036542:Tomography, Spiral Computed