Skip to content

Influence of Couch Tracking Motion

Influence of Couch Tracking Motion on Physiological Parameters

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02820532
Enrollment
100
Registered
2016-07-01
Start date
2016-07-31
Completion date
2018-04-30
Last updated
2018-05-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Respiratory Amplitude

Brief summary

Tumor motion increases the uncertainty in Radiation Oncology. Couch tracking can compensate for this uncertainty. However it is not known if the couch motion influences the respiratory pattern of the patients. This will be evaluated in this study on healthy volunteers.

Detailed description

Radiation therapy is one of the main options in cancer treatments, alongside surgery and chemotherapy. Its efficacy largely depends on the absorbed radiation dose of the tumor cells. However, the irradiation of healthy cells results in negative side effects for the patient. Therefore, a big challenge in radiation therapy is to irradiate the tumor with sufficient dose, while keeping the irradiation of the healthy tissue reasonably low. Currently, the radiation treatment is planned by defining a volume enclosing the tumor, but with added margins to account for any uncertainties. These margins ensure that the tumor receives the prescribed dose. Tumor motion contributes to the uncertainties. The tumor motions of tumors in different sites have different causes, but for this project the focus is on thoracic, liver, and adrenal gland tumors. The motion of these tumor types is mainly caused by the patient's respiration. So, the tumor motion pattern depends on the respiration pattern of the patient. The motion of lung tumors has been reported to have a peak-to-peak amplitude of up to 24 mm. Currently, the tumor motion is handled by enlarging the margins, such that the tumor is always inside the defined volume. But enlarging the margins also results in an increase of irradiated volume consisting of healthy tissue. Tumor motion mitigation is concerned with reducing the margin increase caused by the motion of the tumor. There are several approaches to tumor motion mitigation and the one under consideration in this project is the tumor tracking approach, the technically most difficult approach. In tumor tracking the tumor motion is continuously compensated by moving the radiation source modifying the radiation beam, or moving the patient, which is denoted as couch tracking. In couch tracking, the patient is moved by the robotic treatment couch. Such robotic treatment couches are in use with conventional, widely available C-arm linear accelerators, and, therefore, are readily available for implementing couch tracking. The patient is placed on a couch which moves in the opposite direction of the tumor motion. The goal is to minimize the patient's tumor motion relative to the radiation, which in turn allows the margins to be decreased. The margin decrease might ultimately lead to a reduction of side effects, e.g. pneumonitis. The motion of the couch depends on the motion of the tumor, which in turn depends on the respiration of the patient. However, the couch motion may influence the patient's well being or the patient's respiration. So the question arises: Does the motion of the couch have an influence on the respiration behavior? And also: Does the motion of the couch have an influence on the well being (motion sickness)? And are the well-being and the respiration behavior connected? If the respiration behavior does depend on the couch motion, it may be necessary to control the respiration behavior. Additionally, in the study, the investigators will check an assumption in couch tracking, namely that the patient's body is rigidly fixed to the couch. If this assumption does not hold, the motion of the patient's body relative to the couch will have to be taken into account in couch tracking.

Interventions

DEVICEProtura Treatment table

The treatment couch will be moved according to the respiratory motion of the patient. As a reference first the respiration will be measured without couch motion, than the couch will be switched on and we will evaluate if the respiration changes due to the motion of the couch. This procedure will be repeated once.

Sponsors

Technical University Zurich
CollaboratorUNKNOWN
University of Zurich
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
Yes

Inclusion criteria

* Healthy volunteers * Male and Female subjects * ≥18 and ≤100 years * Written informed consent by the participant after information about the project * German speaking

Exclusion criteria

* Known or suspected non-compliance, drug or alcohol abuse, * Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia, etc. of the participant, * Body weight exceeding 200kg

Design outcomes

Primary

MeasureTime frameDescription
Respiratory amplitudebaseline and 20 minChange of respiratory motion due to couch motion. Respiration will be measured on the chest wall using a contact-free measurement.

Secondary

MeasureTime frameDescription
Heart beatbaseline and 20 minThe heart beat will be measured on the palm of the hand during the static and the couch motion phase.
Skin humiditybaseline and 20 minThe skin humidity will be measured on the hand palm during the static and the phase in motion.
Pupil motionbaseline and 20 minThe change in pupil motion during tracking compared to static condition will be assessed using eye tracking glasses.
Body motionbaseline and 20 minThe influence of the couch motion on the body motion will be assessed using a surface detection system.
Motion sicknessbaseline and 20 minWith a questionaire the motion sickness is assessed, which the participants might experience during couch motion

Countries

Switzerland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 8, 2026