Fluorescence, Light-microscopy, Ultrasound Integrated / Intraoperative Diagnosis to MAXimise Resection
NCT ID: NCT05330559
Last Updated: 2022-04-15
Study Results
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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UNKNOWN
50 participants
OBSERVATIONAL
2022-04-08
2024-04-08
Brief Summary
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Detailed Description
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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.
Conditions
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Study Design
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OTHER
PROSPECTIVE
Interventions
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Fluid 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)
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* 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
18 Years
90 Years
ALL
No
Sponsors
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Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
OTHER
Responsible Party
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Principal Investigators
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Alessandro - Perin, MD - PhD
Role: PRINCIPAL_INVESTIGATOR
Fondazione IRCCS Istituto Neurologico Carlo Besta
Central Contacts
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References
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Chaichana KL, Jusue-Torres I, Navarro-Ramirez R, Raza SM, Pascual-Gallego M, Ibrahim A, Hernandez-Hermann M, Gomez L, Ye X, Weingart JD, Olivi A, Blakeley J, Gallia GL, Lim M, Brem H, Quinones-Hinojosa A. Establishing percent resection and residual volume thresholds affecting survival and recurrence for patients with newly diagnosed intracranial glioblastoma. Neuro Oncol. 2014 Jan;16(1):113-22. doi: 10.1093/neuonc/not137. Epub 2013 Nov 26.
Pino MA, Imperato A, Musca I, Maugeri R, Giammalva GR, Costantino G, Graziano F, Meli F, Francaviglia N, Iacopino DG, Villa A. New Hope in Brain Glioma Surgery: The Role of Intraoperative Ultrasound. A Review. Brain Sci. 2018 Nov 19;8(11):202. doi: 10.3390/brainsci8110202.
Mahboob S, McPhillips R, Qiu Z, Jiang Y, Meggs C, Schiavone G, Button T, Desmulliez M, Demore C, Cochran S, Eljamel S. Intraoperative Ultrasound-Guided Resection of Gliomas: A Meta-Analysis and Review of the Literature. World Neurosurg. 2016 Aug;92:255-263. doi: 10.1016/j.wneu.2016.05.007. Epub 2016 May 10.
Stepp H, Stummer W. 5-ALA in the management of malignant glioma. Lasers Surg Med. 2018 Jul;50(5):399-419. doi: 10.1002/lsm.22933. Epub 2018 May 8.
Kiesel B, Mischkulnig M, Woehrer A, Martinez-Moreno M, Millesi M, Mallouhi A, Czech T, Preusser M, Hainfellner JA, Wolfsberger S, Knosp E, Widhalm G. Systematic histopathological analysis of different 5-aminolevulinic acid-induced fluorescence levels in newly diagnosed glioblastomas. J Neurosurg. 2018 Aug;129(2):341-353. doi: 10.3171/2017.4.JNS162991. Epub 2017 Oct 27.
Del Bene M, Perin A, Casali C, Legnani F, Saladino A, Mattei L, Vetrano IG, Saini M, DiMeco F, Prada F. Advanced Ultrasound Imaging in Glioma Surgery: Beyond Gray-Scale B-mode. Front Oncol. 2018 Dec 3;8:576. doi: 10.3389/fonc.2018.00576. eCollection 2018.
D'Amico RS, Englander ZK, Canoll P, Bruce JN. Extent of Resection in Glioma-A Review of the Cutting Edge. World Neurosurg. 2017 Jul;103:538-549. doi: 10.1016/j.wneu.2017.04.041. Epub 2017 Apr 17.
Hervey-Jumper SL, Berger MS. Maximizing safe resection of low- and high-grade glioma. J Neurooncol. 2016 Nov;130(2):269-282. doi: 10.1007/s11060-016-2110-4. Epub 2016 May 12.
Other Identifiers
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FLUID-MAX
Identifier Type: -
Identifier Source: org_study_id
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