Radiotherapy (RT) aims to deliver a spatially conformal dose of radiation to
tumours while maximizing the dose sparing to healthy tissues. However, the
internal patient anatomy is constantly moving due to respiratory, cardiac,
gastrointestinal and urinary activity. The long term goal of the RT community to
‘see what we treat, as we treat’ and to act on this information instantaneously
has resulted in rapid technological innovation. Specialized treatment machines,
such as robotic or gimbal-steered linear accelerators (linac) with in-room
imaging suites, have been developed specifically for real-time treatment
adaptation. Additional equipment, such as stereoscopic kilovoltage (kV) imaging,
ultrasound transducers and electromagnetic transponders, has been developed for
intrafraction motion monitoring on conventional linacs. Magnetic resonance
imaging (MRI) has been integrated with cobalt treatment units and more recently
with linacs. In addition to hardware innovation, software development has played
a substantial role in the development of motion monitoring methods based on
respiratory motion surrogates and planar kV or Megavoltage (MV) imaging that is
available on standard equipped linacs.
In this paper, we review and compare the different intrafraction motion
monitoring methods proposed in the literature and demonstrated in real-time on
clinical data as well as their possible future developments. We then discuss
general considerations on validation and quality assurance for clinical
implementation.
Besides photon RT, particle therapy is increasingly used to treat moving targets.
However, transferring motion monitoring technologies from linacs to particle
beam lines presents substantial challenges. Lessons learned from the
implementation of real-time intrafraction monitoring for photon RT will be used
as a basis to discuss the implementation of these methods for particle RT.