RealMove (Lung): Assessing Tumour Motion With Dynamic MRI

Recruiting now · Not applicable

Conditions studied: Lung Tumor

In brief

The study aims to develop an improved method to tailor the geometric safety margin when treating with stereotactic body radiotherapy (SBRT), to avoid tumour cells being missed during irradiation and to limit the exposure of normal tissues as much as possible. Dynamic magnetic resonance imaging (MRI) is assumed to represent the tumour motion during the respiratory cycle more realistically, compared to 4-dimensional computed tomography (4D CT), thanks to its high temporal resolution and the possibility to image the motion over a longer period of time. Patients receiving SBRT for a pulmonary target located below the level of the carina are included in the study, and the hypothesis will be tested through a comparison of the tumour amplitude measured with each modality. Furthermore, the predictive value of the image series acquired at treatment planning, for the motion patterns observed at each treatment fraction, will be evaluated through repeated 4D CBCT acquisitions.

Key facts

Study ID

NCT06322329

Run by

Region Stockholm

People needed

150

Starts

2024-03-15

Expected to finish

2036-03-17

Last updated by the study team

2025-09-02

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Accepted for SBRT treatment of one or more caudally situated lung targets (NSCLC or metastases), i.e. below the carina.
• Age ≥ 18 years
• Adequate clinical condition to maintain immobilised position for at least 30 minutes
• Adequate Swedish skills and cognitive function to understand study information and to fill in the questionnaire

You may not qualify if…

• Pregnancy or breastfeeding, or planned pregnancy or breastfeeding, during treatment
• Contraindication for MRI examination
• Otherwise incapable of participating in study

Where it is running

• Karolinska University Hospital — Stockholm, Sweden (enrolling)

Full record on ClinicalTrials.gov

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