Literature DB >> 30047160

Feasibility of real-time lung tumor motion monitoring using intrafractional ultrasound and kV cone beam projection images.

Farshad Mostafaei1, An Tai1, Elizabeth Gore1, Candice Johnstone1, William Haase1, Christopher Ehlers2, David T Cooper3, Martin Lachaine3, X Allen Li1.   

Abstract

PURPOSE: The ability to monitor intrafractional tumor motion is essential for radiation therapy of thoracic and abdominal tumors. This study aims to develop a method to track lung tumor motion using intrafractional continuous ultrasound (US) and periodic cone-beam projection images (CBPI).
METHODS: Time-sequenced b-mode US and CBPI data were extracted from the data acquired with the Clarity® and XVI platforms on an Elekta linac, respectively. The data were synchronized through a video capture card (VCE-PRO, IMPERX Inc.) which was triggered by the XVI system. In this way, a system was configured to allow real-time acquisition of the diaphragm position synchronized with periodic acquisition of the lung tumor position. Feasibility of the system was demonstrated by acquiring synchronized data on an in-house motion platform with embedded spheres of different materials and US images of the diaphragm on 5 volunteers of various body sizes. Finally, ultrasound b-mode images and CBPI were also acquired simultaneously from 3 lung cancer patients.
RESULTS: Diaphragm motion monitoring under free breathing (FB) was successful with intracostal US imaging. We observed that diaphragm visualization decreased with the increase in the body size of the volunteer. The US system was able to track the motion as small as 2 mm in the phantom. The intrafractional CBPI acquired during VMAT delivery was successfully synchronized with US acquisition in a phantom study. Collected patient data showed a significant correlation between diaphragm motion, an internal surrogate monitored by US, and the tumor motion in superior-inferior (SI) direction monitored by XVI (P ˂ 0.0001).
CONCLUSIONS: The feasibility of real-time lung tumor motion tracking in SI direction with continuous ultrasound and periodic CBPI was demonstrated. The real-time estimation of the target position from the two streams for lung cancer patients would enable respiration gating or tracking during SBRT.
© 2018 American Association of Physicists in Medicine.

Entities:  

Keywords:  lung tumor motion monitoring; ultrasound; x-ray imaging

Mesh:

Year:  2018        PMID: 30047160     DOI: 10.1002/mp.13104

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  1 in total

1.  Automated MV markerless tumor tracking for VMAT.

Authors:  D Ferguson; T Harris; M Shi; M Jacobson; M Myronakis; M Lehmann; P Huber; D Morf; R Fueglistaller; P Baturin; I Valencia Lozano; C Williams; R Berbeco
Journal:  Phys Med Biol       Date:  2020-06-22       Impact factor: 4.174

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.