Feasibility of MRI Workflow Alone in External Radiotherapy for the Treatment of Brain and Prostate Tumors

NCT ID: NCT04704804

Last Updated: 2022-03-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

94 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-07-24

Study Completion Date

2021-07-15

Brief Summary

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In radiotherapy, Magnetic Resonance Imaging (MRI) is used as a complement to the CT scanner because it provides better tissue contrast and therefore more precise delineations without the need for additional irradiation. However, MRI does not allow the definition of the electronic densities of the tissues necessary for dose calculation.

In this work, we sought to measure the feasibility of a method for generating CT-synthetic images from MRI in terms of dosimetric and geometrical precision for the purpose of MRI workflow alone (see diagram). The cerebral sphere and the prostate are the two tumor locations considered. All patients will have a planning CT (reference) and an MRI in the treatment position. The contours of the structures will be contoured by a radiotherapist on both the MRI and the reference CT. Synthetic CTs will be generated from the MRI with the method of automatic assignment of densities in five classes. The volumes bypassed and the dosimetries performed will be compared. A study of the quality of the images generated from MRI for dose calculation and images for the verification of per-treatment positioning will be performed.

Detailed Description

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This is a prospective single-center dosimetry study that exhaustively included brain tumor and prostate cancer patients treated at the ICO Site d'Angers by external radiotherapy and prior to which they were given an MRI and a simulation CT in treatment position over a 12-month period.

For patients who agree to participate in the study, CT-synthetic images will be generated from the MRI images by automatic assignment of densities (5 classes).

Reference CT images from CT and synthetic CT images from MRI will be available for comparison for all eligible patients.

Conditions

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Prostate Cancer Brain Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Prostate cancer

Man with cancer and localized (non-metastatic) prostate cancer

Synthetic CT Scan

Intervention Type DIAGNOSTIC_TEST

method of generating CT-synthetic image from MRI

Brain cancer

Male or Female with a brain tumor (primitive)

Synthetic CT Scan

Intervention Type DIAGNOSTIC_TEST

method of generating CT-synthetic image from MRI

Interventions

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Synthetic CT Scan

method of generating CT-synthetic image from MRI

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

1. Age ≥ 18 years old
2. Male or Female with a (primary) brain tumour or Male with cancer and localized (non-metastatic) prostate cancer
3. Patient having benefited from a planning MRI scan in treatment position performed according to the new acquisition modalities (allowing the generation of CT-synthetics by automatic assignment of densities) performed since January 2020 and a planning scanner in treatment position prior to external radiotherapy.
4. Good general condition (SP \< 3)

Exclusion Criteria

1. Excluded forms of the disease,
2. MRI-specific contraindications (claustrophobia, foreign bodies)
3. Obesity preventing the placement of equipment (contention/antennae)
4. Poor general condition (SP \> or = 2) preventing the patient from standing on the table -
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Institut Cancerologie de l'Ouest

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Damien AUTRET

Role: PRINCIPAL_INVESTIGATOR

INSTITUT DE CANCEROLOGIE DE L'OUEST

Locations

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Institut de Cancerologie de L'Ouest

Angers, , France

Site Status

Countries

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France

Other Identifiers

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ICO-2020-09

Identifier Type: -

Identifier Source: org_study_id

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