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Assistance in Neurosurgery (ExtempoRMN)

Assistance in Neurosurgery by Extemporaneous Analysis of Magnetic Resonance of the Metabolic Content in Excised Tissues (ExtempoRMN)

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02272452
Acronym
ExtempoRMN
Enrollment
1000
Registered
2014-10-23
Start date
2014-10-31
Completion date
Unknown
Last updated
2014-10-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Glioma, Primary Brain Tumor

Keywords

High resolution magic angle spinning Nuclear magnetic resonance, Nuclear magnetic resonance, Spectroscopy, Primary brain tumors, Gliomas, extemporaneous analysis

Brief summary

The main ambition of this project is to develop, and provide the medical community, an innovative method to analyze extemporaneously, during a neurosurgery operation, excised tissues. This method is based on the analysis of the metabolic profile of excised tissues by the technique of High-Resolution Magic-Angle Spinning (HR-MAS) Nuclear Magnetic Resonance (NMR) spectroscopy. Indeed HRMAS NMR method can provide in a sufficiently short time lapse (currently about 30 minutes but within our project a time lapse of 15 min or even less is ultimately intended), medical information that can complement those obtained by classic histological examination. Primary purpose: The main objective of this study is to determine the sensitivity of HRMAS NMR spectroscopy in detecting residual tumor infiltration at the brain resection cavity. The investigators aim to determine the relevance of the metabolic analysis compared to histological analysis during a neurosurgery operation. This involves analyzing excised tissue samples, obtained from the operating rooms of Strasbourg University Hospitals, and Colmar Hospital Center, with no return to neurosurgeon for surgery. Secondary purposes: The secondary objectives of the protocol are to investigate the metabolome of different types of brain tumors, in order to find prognostic and diagnostic markers. It consists in detecting metabolomic factors of bad prognosis, and potential marker of good prognosis such as the IDH mutation.

Interventions

DEVICEHigh-Resolution Magic-Angle Spinning Nuclear Magnetic Resonance spectroscopy

Sponsors

University Hospital, Strasbourg, France
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Male or female * Age 18 years of age or older at the time of surgery * Primary brain tumors (gliomas mainly) or epilepsy, for which neurosurgical intervention is programmed * In the case of brain tumors: primary-lesions or transformation of low-grade gliomas into high-grade gliomas not treated with radiotherapy * Affiliated with a social security * Having signed the informed consent * Having been informed of the results of the medical examination prior

Exclusion criteria

* Relapse of tumors previously treated with radiotherapy or chemotherapy * Subject under treatment (radiotherapy or chemotherapy) prior to surgery * Metastatic lesions (location of the primary lesion outside the central nervous system) * Inability to give to the subject or his/her family enlightened information (subject in emergency situation, difficulties of understanding...) * Subject under judicial protection * Subject under guardianship or curatorship * Patients' Refusal

Design outcomes

Primary

MeasureTime frameDescription
The percentage of the cases for which, the HRMAS NMR spectroscopy results of the excised tissues are consistent with quantitative histological analysis of the same excised tissues.3 years from the beginning of the studyTo validate the primary endpoint of this study, statistical analysis should confirm this consistency in at least 95% of the cases.

Countries

France

Contacts

Primary ContactIzzie Jacques Namer, MD
Izzie.Jacques.NAMER@chru-strasbourg.fr33.3.88.12.75.50

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026