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Clinical Trial Details — Status: Recruiting

Administrative data

NCT number NCT03520829
Other study ID # 2017-52
Secondary ID 2017-A02753-50
Status Recruiting
Phase
First received
Last updated
Start date January 10, 2018
Est. completion date January 10, 2020

Study information

Verified date April 2018
Source Assistance Publique Hopitaux De Marseille
Contact Jean-Marie REGIS, PU-PH
Phone 4.91.38.70.59
Email jeanmarie.regis@ap-hm.fr
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

The process of developing Gamma Knife radiosurgery treatment plans is today very dependent on the level of human expertise resulting in a great heterogeneity of the intrinsic qualities of the treatment planning and the quality of care delivered in radiosurgery.

The existing reverse planning systems, although they have progressed considerably in recent years, produce results that are still lower than those achieved by an expert.

Conventionally, an experienced dosimetric planner will act mainly on the coordinates of the position of the isocenters, on the size of the collimators, sector by sector, and on the irradiation time of each isocenters. In theory, the combination of these variables provides access to billions of combinatorics whose diversity far exceeds the computational capabilities of the human mind. The dosimetric planner therefore uses a very small part of the spectrum of possible patterns by always reproducing a limited number of empirical solutions.

The company Intuitive Therapeutics has developed a new mathematical algorithm which can automatically test in a very short time all the combinatorial possibilities and converge very quickly to the solution that best meets the clinical, anatomical and dosimetric objectives defined by the neurosurgeon. The quick processing of the system also allows the operator to modify the constraints to refine the proposed result in real time.

The demonstration of the reality of the performances of this algorithm would give the ability to even inexperienced users to develop high performance planning for the benefit of the patient in terms of optimizing the efficacy / toxicity ratio of the radiosurgery treatment results

The primary objective is to evaluate comparatively the quality of the schedules produced by the algorithm developed by the company Innovative Therapeutics to those produced by an expert who carried out more than 15000 dosimetric plannings and radiosurgical interventions.

The main criterion of comparison is the Paddick index.

The secondary criteria for comparison are:

- Compliance index

- selectivity index

- Gradient index

- Maximum, minimum, average dose at risk structures

- Dose distribution in the target volume

- Treatment time (at equal source activity)

- Time of realization of the planning

It was chosen to treat patients with vestibular Schwannoma OR multiple brain metastases (> 5) treated in single session by Gamma Knife OR para-optic meningioma in hypo-fractionated treatment on Gamma Knife with restraint mask with inclusion of visual paths in the target volume planning.

The aim of the study is to show at least the non-inferiority of this new method compared to the expert user based on the Paddick Index. This index has continuous values between 0 and 1, 0 being the worst case and 1 being the ideal solution. In order to define the sample size needed for each pathology, a pilot phase is required. This phase can be performed retrospectively using treatments already defined by the expert user. This pilot phase will allow us to identify the difference that can be expected between the index values and the variability of this difference. Based on these values we will be able to determine the size of the sample allowing us to statistically test the non-inferiority, or even the superiority of this new device. The number of cases to be included during the pilot phase should be at least ten cases and a maximum of thirty cases. The choice of the number of cases to be integrated during this pilot phase will depend on the homogeneity of the differences obtained on the first cases. These values will allow us to calculate the size of the samples necessary for the study of non-inferiority as well as for the study of superiority. Depending on the calculated sizes samples we will make a choice to ensure that this study takes place in the expected duration.


Recruitment information / eligibility

Status Recruiting
Enrollment 30
Est. completion date January 10, 2020
Est. primary completion date January 10, 2019
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria:

- Male or female at least 18 years old

- Patient treated for Gamma Knife

- Patient who has benefited or needs Gamma-Knife radiosurgical treatment

- Patient affiliated to a social protection scheme.

- Patient having understood the information notice and expressed his non opposition.

Exclusion Criteria:

- Patient with a contraindication to perform a brain MRI

- Patient with a contraindication to radiosurgical treatment (previous treatment with cerebral radiotherapy)

- Pregnant and lactating women

- Simultaneous participation in another therapeutic trial or in the exclusion period of a previous clinical trial.

- Vulnerable persons: minors, protected adults (guardianship or trusteeship) and adults unable to express their consent.

- Patient expressing opposition to participation in the study

Study Design


Intervention

Device:
Intuitive Plan
dosimetric planning software

Locations

Country Name City State
France Assistance Publique Hôpitaux de Marseille Marseille

Sponsors (1)

Lead Sponsor Collaborator
Assistance Publique Hopitaux De Marseille

Country where clinical trial is conducted

France, 

Outcome

Type Measure Description Time frame Safety issue
Primary Evaluate comparatively the quality of the schedules produced by the algorithm developed to show at least the non-inferiority of this new method compared to the expert user based on the Paddick Index. This index has continuous values between 0 and 1, 0 being the worst case and 1 being the ideal solution one year
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