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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT00957450
Other study ID # UHN REB 08-0043-CE
Secondary ID
Status Active, not recruiting
Phase
First received
Last updated
Start date February 2008
Est. completion date February 2026

Study information

Verified date October 2023
Source University Health Network, Toronto
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

Patients with cervix cancer having radiotherapy experience side-effects because the radiotherapy fields have to be quite large to account for tumour movement in the pelvis during treatment, this irradiates a lot of normal tissues. This study aims to characterize and model the tumour motion, as well as the motion of surrounding normal tissues, during treatment. By doing this, the investigators can look at ways to minimise tumour motion and spare more normal tissues. By tailoring the radiotherapy dose more accurately, the investigators will reduce the side-effects of treatment and improve local control of the tumour. By doing multiple magnetic resonance imaging (MRI) scans of the patients during treatment, the investigators can identify where the tumour and surrounding normal tissues are at that point in time. Collecting all the information from these scans, will allow the investigators to model the motion of the tumour and these pelvic organs, and investigate the best way to target the tumour while still sparing normal tissues.


Description:

At simulation: patients will have two MRI scans in addition to the standard planning CT scan. One MRI scan will be with bladder full, the other will be with bladder empty. During treatment: patients will have two or three MRI scans per week at their convenience. MRI scans will be scheduled close to radiotherapy treatment times to minimise inconvenience for the patient. On the same day they have an MRI scan, they will also have a CBCT at the time of treatment. None of the images will be used to alter or influence the treatment the patient is receiving. If the patient feels that the imaging schedule is too inconvenient, they will be given the option to reduce the frequency of the scanning or to withdraw from the study.All the images will be loaded onto a password secure server. The MRI scans will be fused to the planning CT scan using bone-to-bone matching. Tumour and intra-pelvic organs will be contoured on the MRI scans. The contours will be used to create surface meshes of each organ and with research software, we will be able to model the motion and deformation of these organs over the course of radiotherapy. Using this data, we will be able to simulate the dose impact of the organ motion on different intensity-modulated radiotherapy plans. We will also explore the impact of bladder & rectal filling on tumour motion.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 20
Est. completion date February 2026
Est. primary completion date February 2026
Accepts healthy volunteers No
Gender Female
Age group 18 Years and older
Eligibility Inclusion Criteria: - Age = 18years - Biopsy confirmed cervix cancer - Not suitable for surgery - Suitable for radical radiotherapy - ECOG 0-2 - Informed consent Exclusion Criteria: - Patients unwilling or unable to give informed consent - Prior pelvic radiotherapy - Contraindications to MRI scan

Study Design


Related Conditions & MeSH terms


Locations

Country Name City State
Canada University Health Network Toronto Ontario

Sponsors (1)

Lead Sponsor Collaborator
University Health Network, Toronto

Country where clinical trial is conducted

Canada, 

Outcome

Type Measure Description Time frame Safety issue
Primary Measure inter-fraction organ movements associated with cervix cancer during the course of definitive radiotherapy. Characterise the impact of bladder and rectal filling on target motion during a course of definitive radiotherapy 24 months
Secondary Model intra-pelvic organ motion during RT. Model tumour & normal tissue dose accumulation. Perform planning studies on the image data sets. Investigate the utility of tumour localisation surrogates using CBCT & MR imaging. 24 months
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