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Fluorescence, Light-microscopy, Ultrasound Integrated / Intraoperative Diagnosis to MAXimise Resection

Fluorescence, Light-microscopy, Ultrasound Integrated / Intraoperative Diagnosis to MAXimise Resection

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05330559
Acronym
FLUID-MAX
Enrollment
50
Registered
2022-04-15
Start date
2022-04-08
Completion date
2024-04-08
Last updated
2022-04-15

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

Conditions

Patients With Radiological, Clinical and Anamnestic Picture Compatible With a New Diagnosis of Glioblastoma

Brief summary

The present study aims to evaluate and compare with the histopathological analysis the various margin-assessment systems, including ultrasound, florescence, brightfield vision, new optical filters and microscope image post-processing systems, for the treatment of High Grade Gliomas (HGGs)

Detailed description

Extent of Resection represents the cornerstone of surgery in terms of improving the prognosis of the patient with High Grade Gliomas, but total removal of neoplastic tissue is prevented by the amount of infiltration that is undetectable either by traditional preoperative MRI techniques or by the naked eye during surgery. Several techniques are currently used to define margins in the surgical setting, but the literature available on them to date is mostly focused on the assessment of postoperative GTR (Gross Total Resection), which tends to underestimate neoplastic tissue infiltration. The evaluation of the efficacy of these techniques in detecting tumour infiltration by comparing them with the histopathology response on intraoperative biopsies taken after the debulking phase of the neoplasm could overcome this sensitivity limitation. The study therefore intends to develop an algorithm that allows to discern between tumour infiltration and healthy parenchyma by means of different margin-assessment techniques in order to maximise the extent of resection in patients with HGGs.

Interventions

OTHERFluid MAX group

to evaluate and compare with the histopathological analysis the various margin-assessment systems, including ultrasound, florescence, brightfield vision, new optical filters and microscope image post-processing systems, for the treatment of High Grade Gliomas (HGGs)

Sponsors

Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No

Inclusion criteria

Patients with radiological, clinical and anamnestic picture compatible with a new diagnosis of Glioblastoma for whom there is an indication for cytoreductive surgery at the Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta.

Exclusion criteria

* Patients aged less than 18 years at the time of radiological diagnosis * Patients who have received radiation therapy in the same area as the neoplasm of interest * Patients contraindicated to 5-ALA administration * Patients whose neoplasm is in close proximity to functionally eloquent areas (Primary Motor, Broca's, Wernicke's areas) * Patients who have not given their consent to take part in the research

Design outcomes

Primary

MeasureTime frameDescription
Primary Outcomeyear 2Evaluation of Sensitivity and Specificity of individual techniques (bright field observation, 5-ALA FGS and ioUS) in detecting tumor infiltration quantified by histopathological examination.

Secondary

MeasureTime frameDescription
Secondary Outcomeyear 2Conduct a feasibility study on the use of the above techniques in sequence described;

Other

MeasureTime frameDescription
third Outcomeyear 2compare the performance of the new Glow400 fluorescence technique with the traditional FL400 in identifying tumor infiltration with respect to the examination histopathology
fourth Outcomeyear 2identify histological and / or genetic characteristics capable of influencing the performance of margin assessment techniques

Contacts

Primary ContactAlessandro Perin, MD -PhD
alessandro.perin@istituto-besta.it02-23942412

Outcome results

None listed

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