Mechanically-assisted Ventilation in the Treatment of Moving Tumours With Photon and Proton Therapies

NCT ID: NCT03226925

Last Updated: 2019-07-15

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

Clinical Phase

NA

Total Enrollment

23 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-06-30

Study Completion Date

2019-06-01

Brief Summary

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Mechanical ventilation can be used to impose a completely regular pattern of breathing frequency and inflation volume on the patient for as long as required. This would considerably improve the reproducibility of the internal motion parameters, and thus facilitate the implementation of respiratory-synchronized techniques such as gating, tracking and four-digital optimization.

Detailed Description

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This will be a three-phase analysis :

First, different ventilation modes will be tested and compared on healthy volunteers. This phase will be analysed with a ventilator and with dynamic MRI in order to measure the movement of anatomical structures in each ventilation mode (intra-fraction analysis). Further, we will repeat these exams in order to compare them with the first ones, in order to analyse the reproducibility and baseline shifts (inter-fraction analysis).

Here are the different ventilation modes

* spontaneous breathing
* physiologic ventilation mode :
* shallow ventilation mode
* slow ventilation mode
* Jet Ventilation mode

Second phase will be done with patients that are intended to have a radiation treatment for thoracic or upper abdominal tumors. All the previous ventilation modes will be analysed during repeated MRI, again in order to perform intra- and inter-fraction analysis of the tumor motion.

Third phase also concerned patients intended to have a radiation treatment. It will be an in-silico-planning analysis in order to quantify dosimetric outcomes of these ventilation modes.

Conditions

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Thoracic Neoplasm Liver Cancer Ventilator Lung Radiotherapy; Complications

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

PARALLEL

One group of patients with healthy volunteers and two groups with lung/upper abdomen cancer patients
Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

NONE

Study Groups

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Healthy volunteers on ventilation

Dynamic MRI acquisition will be performed at two different time points with 10 healthy volunteers under non-invasive mechanically-assisted ventilation with a respirator. Different modes will be compared (spontaneous, physiologic, shallow, slow and jet ventilation).

Group Type EXPERIMENTAL

Non-invasive mechanically-assisted ventilation

Intervention Type DIAGNOSTIC_TEST

Mechanically ventilation will be done through facial masks connected to a respirator. Volunteers/patients are fully conscious during the ventilation.

Dynamic MRI acquisition

Intervention Type DIAGNOSTIC_TEST

Dynamic MRI acquisition are specific dynamic sequences intended to visualise the motion of internal structures (anatomical structures or tumour) under non-invasive mechanically-assisted ventilation

Cancer patients on ventilation

Dynamic MRI acquisition will be performed at two different time points with 10 patients (intended for a radiation treatment of their thoracic or upper abdominal tumours) under non-invasive mechanically-assisted ventilation with a respirator. Different modes will be compared (spontaneous, physiologic, shallow, slow and jet ventilation).

Group Type EXPERIMENTAL

Non-invasive mechanically-assisted ventilation

Intervention Type DIAGNOSTIC_TEST

Mechanically ventilation will be done through facial masks connected to a respirator. Volunteers/patients are fully conscious during the ventilation.

Dynamic MRI acquisition

Intervention Type DIAGNOSTIC_TEST

Dynamic MRI acquisition are specific dynamic sequences intended to visualise the motion of internal structures (anatomical structures or tumour) under non-invasive mechanically-assisted ventilation

Planning with patients on ventilation

Planning 4D-CT will be performed with 10 patients (intended for a radiation treatment of their thoracic or upper abdominal tumours) under non-invasive mechanically-assisted ventilation with a respirator. Different ventilation modes will be compared (spontaneous, physiologic, shallow, slow and jet ventilation).

Group Type EXPERIMENTAL

Non-invasive mechanically-assisted ventilation

Intervention Type DIAGNOSTIC_TEST

Mechanically ventilation will be done through facial masks connected to a respirator. Volunteers/patients are fully conscious during the ventilation.

Planning 4D-CT

Intervention Type DIAGNOSTIC_TEST

In order to perform in-silico planning, 4D-CT will be acquired on patients under non-invasive mechanically-assisted ventilation

Interventions

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Non-invasive mechanically-assisted ventilation

Mechanically ventilation will be done through facial masks connected to a respirator. Volunteers/patients are fully conscious during the ventilation.

Intervention Type DIAGNOSTIC_TEST

Dynamic MRI acquisition

Dynamic MRI acquisition are specific dynamic sequences intended to visualise the motion of internal structures (anatomical structures or tumour) under non-invasive mechanically-assisted ventilation

Intervention Type DIAGNOSTIC_TEST

Planning 4D-CT

In order to perform in-silico planning, 4D-CT will be acquired on patients under non-invasive mechanically-assisted ventilation

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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Inclusion Criteria

* No comorbidity for healthy volunteers
* Cancer patients with either lung or upper abdomen (liver/pancreas) tumours treated with radiation therapy.

Exclusion Criteria

* severe lung disease or emphysema
* previous history of pneumothorax
* claustrophobia
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Cliniques universitaires Saint-Luc- Université Catholique de Louvain

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Xavier Geets, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Cliniques universitaires Saint-Luc- Université Catholique de Louvain

Locations

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Cliniques Universitaires Saint-Luc

Brussels, , Belgium

Site Status

Countries

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Belgium

Other Identifiers

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2017/23MAI/294

Identifier Type: -

Identifier Source: org_study_id

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