ClinicalTrials.gg
RecruitingNCT06797661NVUCVRUpdated Sep 14, 2026

Insights Into the Pathophysiology of Neurovascular Uncoupling in Patients With Brain Lesions.

An interventional study of Functional MRI and FDG-PET in Glioblastoma, Glioma and Astrocytoma, sponsored by Erasme University Hospital. Recruiting at 1 site in Belgium. Open to participants aged 18 Years to 90 Years. Per ClinicalTrials.gov, last updated 2026-09-14.

Sponsored by Erasme University Hospital · Not applicable, Interventional, and Basic science

From the registry’s dates

  • Started Feb 2025; still recruiting 1 year 8 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Not applicable
Ages
18 Years to 90 Years
Sex
All
01

Study summary

Neurovascular uncoupling (NVU) represents a major source of potential bias for the identification of eloquent brain regions through activation procedures in blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI).

Same region shows proper pattern in glucose metabolism in victiny of brain lesions, investigated with positron emitted tomography with radiolabeled glucose (PET-FDG) This research project aims at investigating the mechanisms of NVU by using a multimodal noninvasive imaging approach in neurosurgical patients.

Read the detailed description

Brain metabolism and blood flow are tightly coupled with neuronal activity. Changes in neuronal activity result in the modulation of glucose consumption by neurons. Both glucose and lactate levels return to their baseline instantly as neuronal activity ceases, a phenomenon known as neurometabolic coupling. Given the limited energetic reserves in the central nervous system, neuronal activity heavily relies on the finely regulated supply of glucose from the bloodstream. However, the dynamic increase in cerebral blood flow (CBF) during neuronal activation far exceeds the increase in oxidative metabolism. This relative hyperemic response ensures an increased oxygen gradient between blood vessels and tissue, providing ample oxygen supply. The close temporal and regional link between changes in neuronal activity and CBF increase is referred to as neurovascular coupling (NVC) and involves a complex cascade of events. Neurotransmitters, such as glutamate, released at synapses bind to receptors on neurons and astrocytes, leading to the release of various chemical mediators, like nitric oxide and prostaglandins, which directly act on arterial smooth muscle tone. More complex and incompletely understood signaling pathways, including Na+ and Ca2+-mediated astrocyte signaling mechanisms, are also presumed to contribute to NVC.

The tight relationship between neuronal activity and both regional blood flow and metabolism has provided the basis for non-invasive functional brain imaging methods, including positron emission tomography (PET) and functional magnetic resonance imaging (fMRI). PET using [18Fluor ]-fluorodeoxyglucose (FDG) is a technique based on the accumulation of metabolized FDG (i.e., FDG-6-phosphate) in the astrocyte-neuron complex, reflecting the level of glucose consumption. Since the seminal works of Sokoloff et al., glucose utilization is considered a valid, accurate, and quantitative indicator of the level of local neuronal activity within the brain. In contrast, fMRI, which relies on the blood oxygen level-dependent (BOLD) signal, provides indirect information about neuronal activity by investigating perfusion-related changes coupled with neuronal activity. In areas of increased CBF due to modulations in neuronal activity, oxygen delivery exceeds the rate of oxygen utilization, inducing a local increase in the oxy-/deoxy-hemoglobin ratio. This leads to a detectable increase in the magnetic-susceptibility weighted MRI signal.

One of the earliest and still recognized clinical applications of fMRI has been preoperative functional mapping of the primary sensorimotor cortex in patients with brain tumors. This technique has significantly impacted surgical planning, often enabling more aggressive approaches than those considered without functional localization. fMRI has also been increasingly used in the presurgical evaluation of patients with vascular or epileptogenic lesions. However, despite the growing use of BOLD fMRI in patients with brain lesions, this technique has major limitations that must be considered when interpreting fMRI results in such populations. The main limitation is the impairment of BOLD signal changes due to lesion-related loss of normal vascular coupling with neuronal activity, a phenomenon referred to as neurovascular uncoupling (NVU). This can result in false-negative or false-positive results in critical eloquent cortex. If neuronal activity is preserved in diseased but viable cortex, NVU is presumed to occur due to astrocytic, neurotransmitter, or vascular dysfunction.

NVU has been mainly reported in patients with high-grade glial tumors and meningiomas. In such patients, the volume of task-based fMRI signal increases has been shown to be reduced adjacent to the tumor compared to homologous fMRI signal changes in the contralesional hemisphere, despite the absence of neurological deficit. In line with experimental data in healthy subjects showing that BOLD signal may decrease as cerebral blood volume (CBV) increases, impaired cerebrovascular reactivity (CVR) in brain tumor patients may be explained by changes in local perfusion. In hypervascularized tumors such as high-grade gliomas and meningiomas, local hyperperfusion has been suggested to explain the decreased BOLD signal on task-based fMRI. However, recent studies have demonstrated that NVU may also occur in low-grade gliomas. Given the absence of hyperperfusion in this tumor type, different mechanisms need to be considered. In low-grade gliomas, the observed NVU is currently thought to be, at least in part, due to disruption of astrocyte-vascular coupling (gliovascular uncoupling). Patients with arteriovenous malformations may exhibit impaired peri-nidal cerebrovascular reserve due to high-flow shunting, making perfusion-dependent mapping signals unreliable. Epilepsy patients may also exhibit regional impairment of CVR due to dramatic increases in brain metabolism and CBF during the ictal period, disruption of the brain-blood barrier, and an acute loss of cerebral pressure autoregulation.

According to previous research, CVR can be studied through the "hypercapnia challenge" during fMRI recordings, including breath-hold fMRI (BH fMRI) and carbogen inhalation fMRI. Hypercapnia is a potent vasodilator that increases the BOLD baseline signal by detecting an increase in tissue oxygenation resulting from increases in CBF while oxidative metabolism demands are considered to remain constant. However, the influence of hypercapnia on neural activity and neurometabolic/neurovascular couplings is not well understood and remains debated. In practice, areas of reduced or absent hypercapnia-induced increase in fMRI signal on CVR maps compared to homologous contralateral activation are assumed to indicate NVU. Recent studies suggest potential advantages in using resting-state (rs) fMRI as a preoperative technique. rs-fMRI is a functional neuroimaging technique that allows the measurement of spontaneous brain activity in patients at rest. Spontaneous BOLD signal fluctuations are highly correlated in distinct and long-ranged brain regions, indicating functional connectivity within specific and highly organized neuroanatomical networks. Functional connectivity studies have also demonstrated a high degree of spatial correlation between rs-fMRI functional brain connectivity and those studied during a hypercapnia challenge. Interestingly, recent research suggests that rs-BOLD signal may be impaired in patients in whom task-based increases in fMRI signals are reduced or absent due to NVU. Therefore, alterations in functional brain connectivity studied with rs-fMRI might provide insights into the presence of NVU as studied with CVR during hypercapnia. Such findings would be of interest in clinical practice as they could avoid the need for CVR-mapping with a hypercapnia challenge.

02

Conditions studied

  • Glioblastoma
  • Glioma
  • Astrocytoma

Keywords

  • Primary brain tumor
03

In context

Glioblastoma

2,132 studies on the registry are indexed under Glioblastoma; 464 are open to participants now.

This study's planned enrollment of 40 is above the median of 36 across 1,753 interventional studies indexed under Glioblastoma.

Browse Glioblastoma studies →

Lead sponsor

Erasme University Hospital is the lead sponsor of 181 studies on the registry; 35 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 90 Years
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • patients in the study include prior imaging showing a potentially resectable intra-cerebral mass lesion. Patient has to be included before surgery, chemotherapy and radiation

Exclusion criteria

Exclusion Criteria:

  • previous brain surgery
  • respiratory failure
  • Asthma
  • Claustrophobia
  • Previous adverse reaction to gadovist (contrast agent)
  • Pregnancy and Breath feeding
  • Diabetes (type I and II)
05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Not applicable
Intervention model
Single group
Masking
None (open label)
Enrollment
40 participants (estimated)

Study arms

  • Experimental
    Glioma patient

    As compared to the pre-surgical evaluation that brain tumor patients routinely undergo in our institution, patients are asked to undergo some additional examinations.

    Diagnostic Test: Functional MRI · Diagnostic Test: FDG-PET · Diagnostic Test: Structural MRI

Interventions

  • Diagnostic testFunctional MRI

    11 minutes of Functional MRI alternating breathing Air-Room and gaz mix (5%CO2 21%O2 74%N2). All procedure are acquired simultaneously on a single acquisition on the PET/MRI camera in the institution.

  • Diagnostic testFDG-PET

    Some patients who did not benefit from a FDG-PET in their clinical evaluation or more than 1 month before the inclusion in the present study will be ask to also undergo a brain FDG-PET , the dose is set at 2 Mega becquerel per Kg. All procedure are acquired simultaneously on a single acquisition on the PET/MRI camera in the institution.

  • Diagnostic testStructural MRI

    Patient will benefit Different anatomical sequence of acquisition listed here : T1 , T1 with contrast agent (gadovist) , T2 flair , T2 and DSC (Dynamic susceptibility contrast) , and Time Of Flight . All procedure are acquired simultaneously on a single acquisition on the PET/MRI camera in the institution.

06

What researchers measure

Primary outcomes

  1. Effects of Hypercapnia administration on fMRI data

    For brain fRMI data: BOLD signal variation (Arbitrary Unit from a percent change from baseline).

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

  2. Effects of Hypercapnia administration on PET-FDG regional standardized data.

    For brain PET-FDG: regional SUV value (Standardized Uptake Ratio) .The SUV is a mathematically derived ratio of tissue radioactivity concentration at a point in time at a specific region of interest and the injected dose of radioactivity per kilogram of the patient's body weight

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

  3. Effects of Hypercapnia administration on PET-FDG global data

    For brain PET-FDG: Statistical Parametric Mapping analysis (SPM) for voxel-wise comparison and multiple correlations (t-score)

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

  4. Effects of Hypercapnia administration on oxygen saturation (SpO2)

    SpO2 Variation: Measured in percentage points (%), reflecting the change from baseline levels.

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

  5. End tidal CO2

    End Tidal CO2 during the experiment allow the modelisation and quantification of MRI signal among brain tissue. End tidal CO2 pressure is measured in mmHg

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

  6. Breathing Rate

    Breathing Rate during the experiment allow the modelisation and quantification of MRI signal among brain tissue. Breathing rate is measure in respiration per minute

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

  7. Regional Cerebral Blood Volume

    CBV represents the volume of blood present in 100 grams of brain tissue at a given time. It is used to assess the vascular capacity of the brain. unit are in mL per 100g of brain tissue .A DSC (Dynamic susceptibility contrast) -MRI is needed, the sequence involves the intravenous injection of a contrast agent, usually gadolinium-based. The contrast agent passes through the brain, and changes in the MRI signal are recorded over time.

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

  8. Regional Cerebral Blood Flow

    CBF measures the amount of blood flowing through 100 grams of brain tissue in one minute. This is a crucial measure for assessing cerebral perfusion and identifying areas of under- or hyperperfusion.(mL/100g/min)A DSC-MRI is needed, the sequence involves the intravenous injection of a contrast agent, usually gadolinium-based. The contrast agent passes through the brain, and changes in the MRI signal are recorded over time.

    Time frame: end of acquisition ( group of 40 subject estimated at 10 months after first subjet acquisition)

Secondary outcomes

  1. Tumor Grading

    Tumor Grading, respectively with the World Health Organisation (WHO) 2021 guideline about brain neoplasm

    Time frame: up to 2 week after last acquisition to allow Multidisciplinary oncologic commission to fix the grading status

  2. Tumor Histology

    respectively with the WHO 2021 guideline about brain neoplasm from the surgery clinically planned

    Time frame: up to 2 week after last acquisition to allow Multidisciplinary oncologic commission to fix the grading status

  3. Cerebrovascular reactivity mapping

    Integration of the variation in fMRI signal and end tidal CO2, and breathing rate into a quantification . The produced data are in % of MRI signal change per mmHg of CO2

    Time frame: up to 1 month after the last acquisition to allow processing time , all the 40 patient together

  4. Correlation map

    Correlation on coregistration of fMRI and PET procedure among the brain and plotted in a linear regression. Correlation will be expressed in Spearman's "R".

    Time frame: up to 1 month after the last acquisition to allow processing time , all the 40 patient together

  5. Functional connectivity

    Measured on resting state data acquired during the experiment , allowing to construct a functional "FC" measure of the hub connected together in the brain. Measured in arbitrary unit.

    Time frame: up to 1 month after the last acquisition to allow processing time , all the 40 patient together

07

Study locations

1 of 1 sites recruiting
08

References and documents

Publications

  • Belanger M, Allaman I, Magistretti PJ. Brain energy metabolism: focus on astrocyte-neuron metabolic cooperation. Cell Metab. 2011 Dec 7;14(6):724-38. doi: 10.1016/j.cmet.2011.08.016. PubMed 22152301 ↗
  • Attwell D, Buchan AM, Charpak S, Lauritzen M, Macvicar BA, Newman EA. Glial and neuronal control of brain blood flow. Nature. 2010 Nov 11;468(7321):232-43. doi: 10.1038/nature09613. PubMed 21068832 ↗
  • Koehler RC, Roman RJ, Harder DR. Astrocytes and the regulation of cerebral blood flow. Trends Neurosci. 2009 Mar;32(3):160-9. doi: 10.1016/j.tins.2008.11.005. Epub 2009 Jan 21. PubMed 19162338 ↗
  • Sokoloff L, Reivich M, Kennedy C, Des Rosiers MH, Patlak CS, Pettigrew KD, Sakurada O, Shinohara M. The [14C]deoxyglucose method for the measurement of local cerebral glucose utilization: theory, procedure, and normal values in the conscious and anesthetized albino rat. J Neurochem. 1977 May;28(5):897-916. doi: 10.1111/j.1471-4159.1977.tb10649.x. No abstract available. PubMed 864466 ↗
  • Ogawa S, Lee TM, Kay AR, Tank DW. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A. 1990 Dec;87(24):9868-72. doi: 10.1073/pnas.87.24.9868. PubMed 2124706 ↗
  • Sokoloff L. Relation between physiological function and energy metabolism in the central nervous system. J Neurochem. 1977 Jul;29(1):13-26. doi: 10.1111/j.1471-4159.1977.tb03919.x. No abstract available. PubMed 407330 ↗
  • Buxton RB. The physics of functional magnetic resonance imaging (fMRI). Rep Prog Phys. 2013 Sep;76(9):096601. doi: 10.1088/0034-4885/76/9/096601. Epub 2013 Sep 4. PubMed 24006360 ↗
  • Mueller WM, Yetkin FZ, Hammeke TA, Morris GL 3rd, Swanson SJ, Reichert K, Cox R, Haughton VM. Functional magnetic resonance imaging mapping of the motor cortex in patients with cerebral tumors. Neurosurgery. 1996 Sep;39(3):515-20; discussion 520-1. doi: 10.1097/00006123-199609000-00015. PubMed 8875481 ↗
  • Medina LS, Bernal B, Dunoyer C, Cervantes L, Rodriguez M, Pacheco E, Jayakar P, Morrison G, Ragheb J, Altman NR. Seizure disorders: functional MR imaging for diagnostic evaluation and surgical treatment--prospective study. Radiology. 2005 Jul;236(1):247-53. doi: 10.1148/radiol.2361040690. PubMed 15987978 ↗
  • Petrella JR, Shah LM, Harris KM, Friedman AH, George TM, Sampson JH, Pekala JS, Voyvodic JT. Preoperative functional MR imaging localization of language and motor areas: effect on therapeutic decision making in patients with potentially resectable brain tumors. Radiology. 2006 Sep;240(3):793-802. doi: 10.1148/radiol.2403051153. Epub 2006 Jul 20. PubMed 16857981 ↗
  • Fierstra J, Conklin J, Krings T, Slessarev M, Han JS, Fisher JA, Terbrugge K, Wallace MC, Tymianski M, Mikulis DJ. Impaired peri-nidal cerebrovascular reserve in seizure patients with brain arteriovenous malformations. Brain. 2011 Jan;134(Pt 1):100-9. doi: 10.1093/brain/awq286. Epub 2010 Nov 24. PubMed 21109501 ↗
  • Pillai JJ, Williams HT, Faro S. Functional imaging in temporal lobe epilepsy. Semin Ultrasound CT MR. 2007 Dec;28(6):437-50. doi: 10.1053/j.sult.2007.09.006. PubMed 18075000 ↗
  • Sunaert S. Presurgical planning for tumor resectioning. J Magn Reson Imaging. 2006 Jun;23(6):887-905. doi: 10.1002/jmri.20582. PubMed 16649210 ↗
  • Holodny AI, Schulder M, Liu WC, Wolko J, Maldjian JA, Kalnin AJ. The effect of brain tumors on BOLD functional MR imaging activation in the adjacent motor cortex: implications for image-guided neurosurgery. AJNR Am J Neuroradiol. 2000 Sep;21(8):1415-22. PubMed 11003273 ↗
  • Schreiber A, Hubbe U, Ziyeh S, Hennig J. The influence of gliomas and nonglial space-occupying lesions on blood-oxygen-level-dependent contrast enhancement. AJNR Am J Neuroradiol. 2000 Jun-Jul;21(6):1055-63. PubMed 10871013 ↗
  • Liu WC, Feldman SC, Schulder M, Kalnin AJ, Holodny AI, Zimmerman A, Sinensky R, Rao S. The effect of tumour type and distance on activation in the motor cortex. Neuroradiology. 2005 Nov;47(11):813-9. doi: 10.1007/s00234-005-1428-y. Epub 2005 Sep 2. PubMed 16142482 ↗
  • Ulmer JL, Hacein-Bey L, Mathews VP, Mueller WM, DeYoe EA, Prost RW, Meyer GA, Krouwer HG, Schmainda KM. Lesion-induced pseudo-dominance at functional magnetic resonance imaging: implications for preoperative assessments. Neurosurgery. 2004 Sep;55(3):569-79; discussion 580-1. doi: 10.1227/01.neu.0000134384.94749.b2. PubMed 15335424 ↗
  • Fujiwara N, Sakatani K, Katayama Y, Murata Y, Hoshino T, Fukaya C, Yamamoto T. Evoked-cerebral blood oxygenation changes in false-negative activations in BOLD contrast functional MRI of patients with brain tumors. Neuroimage. 2004 Apr;21(4):1464-71. doi: 10.1016/j.neuroimage.2003.10.042. PubMed 15050571 ↗
  • Krainik A, Duffau H, Capelle L, Cornu P, Boch AL, Mangin JF, Le Bihan D, Marsault C, Chiras J, Lehericy S. Role of the healthy hemisphere in recovery after resection of the supplementary motor area. Neurology. 2004 Apr 27;62(8):1323-32. doi: 10.1212/01.wnl.0000120547.83482.b1. PubMed 15111669 ↗
  • Hou BL, Bradbury M, Peck KK, Petrovich NM, Gutin PH, Holodny AI. Effect of brain tumor neovasculature defined by rCBV on BOLD fMRI activation volume in the primary motor cortex. Neuroimage. 2006 Aug 15;32(2):489-97. doi: 10.1016/j.neuroimage.2006.04.188. Epub 2006 Jun 27. PubMed 16806983 ↗
  • Cohen ER, Ugurbil K, Kim SG. Effect of basal conditions on the magnitude and dynamics of the blood oxygenation level-dependent fMRI response. J Cereb Blood Flow Metab. 2002 Sep;22(9):1042-53. doi: 10.1097/00004647-200209000-00002. PubMed 12218410 ↗
  • Ludemann L, Forschler A, Grieger W, Zimmer C. BOLD signal in the motor cortex shows a correlation with the blood volume of brain tumors. J Magn Reson Imaging. 2006 Apr;23(4):435-43. doi: 10.1002/jmri.20530. PubMed 16506145 ↗
  • Pillai JJ, Zaca D. Comparison of BOLD cerebrovascular reactivity mapping and DSC MR perfusion imaging for prediction of neurovascular uncoupling potential in brain tumors. Technol Cancer Res Treat. 2012 Aug;11(4):361-74. doi: 10.7785/tcrt.2012.500284. Epub 2012 Mar 1. PubMed 22376130 ↗
  • Zaca D, Jovicich J, Nadar SR, Voyvodic JT, Pillai JJ. Cerebrovascular reactivity mapping in patients with low grade gliomas undergoing presurgical sensorimotor mapping with BOLD fMRI. J Magn Reson Imaging. 2014 Aug;40(2):383-90. doi: 10.1002/jmri.24406. Epub 2013 Nov 4. PubMed 24338845 ↗
  • Watkins S, Robel S, Kimbrough IF, Robert SM, Ellis-Davies G, Sontheimer H. Disruption of astrocyte-vascular coupling and the blood-brain barrier by invading glioma cells. Nat Commun. 2014 Jun 19;5:4196. doi: 10.1038/ncomms5196. PubMed 24943270 ↗
  • Yezhuvath US, Lewis-Amezcua K, Varghese R, Xiao G, Lu H. On the assessment of cerebrovascular reactivity using hypercapnia BOLD MRI. NMR Biomed. 2009 Aug;22(7):779-86. doi: 10.1002/nbm.1392. PubMed 19388006 ↗
  • Ito H, Kanno I, Ibaraki M, Hatazawa J, Miura S. Changes in human cerebral blood flow and cerebral blood volume during hypercapnia and hypocapnia measured by positron emission tomography. J Cereb Blood Flow Metab. 2003 Jun;23(6):665-70. doi: 10.1097/01.WCB.0000067721.64998.F5. PubMed 12796714 ↗
  • Hosford PS, Wells JA, Nizari S, Christie IN, Theparambil SM, Castro PA, Hadjihambi A, Barros LF, Ruminot I, Lythgoe MF, Gourine AV. CO2 signaling mediates neurovascular coupling in the cerebral cortex. Nat Commun. 2022 Apr 19;13(1):2125. doi: 10.1038/s41467-022-29622-9. PubMed 35440557 ↗
  • Zappe AC, Uludag K, Logothetis NK. Direct measurement of oxygen extraction with fMRI using 6% CO2 inhalation. Magn Reson Imaging. 2008 Sep;26(7):961-7. doi: 10.1016/j.mri.2008.02.005. Epub 2008 May 2. PubMed 18450401 ↗
  • Hall EL, Driver ID, Croal PL, Francis ST, Gowland PA, Morris PG, Brookes MJ. The effect of hypercapnia on resting and stimulus induced MEG signals. Neuroimage. 2011 Oct 15;58(4):1034-43. doi: 10.1016/j.neuroimage.2011.06.073. Epub 2011 Jul 7. PubMed 21762783 ↗
  • Fox MD, Greicius M. Clinical applications of resting state functional connectivity. Front Syst Neurosci. 2010 Jun 17;4:19. doi: 10.3389/fnsys.2010.00019. eCollection 2010. PubMed 20592951 ↗
  • Agarwal S, Sair HI, Yahyavi-Firouz-Abadi N, Airan R, Pillai JJ. Neurovascular uncoupling in resting state fMRI demonstrated in patients with primary brain gliomas. J Magn Reson Imaging. 2016 Mar;43(3):620-6. doi: 10.1002/jmri.25012. Epub 2015 Jul 22. PubMed 26201672 ↗
  • Hou X, Liu P, Gu H, Chan M, Li Y, Peng SL, Wig G, Yang Y, Park D, Lu H. Estimation of brain functional connectivity from hypercapnia BOLD MRI data: Validation in a lifespan cohort of 170 subjects. Neuroimage. 2019 Feb 1;186:455-463. doi: 10.1016/j.neuroimage.2018.11.028. Epub 2018 Nov 18. PubMed 30463025 ↗
  • Spano VR, Mandell DM, Poublanc J, Sam K, Battisti-Charbonney A, Pucci O, Han JS, Crawley AP, Fisher JA, Mikulis DJ. CO2 blood oxygen level-dependent MR mapping of cerebrovascular reserve in a clinical population: safety, tolerability, and technical feasibility. Radiology. 2013 Feb;266(2):592-8. doi: 10.1148/radiol.12112795. Epub 2012 Nov 30. PubMed 23204541 ↗
09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Started Feb 2025 (actual). Primary completion is estimated for Sep 2026, 18 months after the start.

Of 131 non-industry interventional studies with no phase under Glioblastoma, half reached primary completion within 54 months of starting (the median), counting those still running; a quarter within 37 and three quarters within 97. This study's planned 18 months is below that.

Counting every sponsor, half of 149 studies reached it within 54 months; a quarter within 36 and three quarters within 88.

How these figures are worked out, and which studies are left out of them.

Registered
Jan 23, 2025
First posted
Jan 28, 2025
StartActual
Feb 17, 2025
Primary completionEst.
Sep 13, 2026
CompletionEst.
Dec 31, 2027
Last update
Sep 14, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Sep 14, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06797661
Responsible party
Sponsor
First posted
Jan 28, 2025
Start date
Feb 17, 2025
Primary completion
Sep 13, 2026 (estimated)
Completion
Dec 31, 2027 (estimated)
Last update
Sep 14, 2026

Study contacts

Thibault Vanbutsele
Contact
thibault.vanbutsele@hubruxelles.be
25558167 ext. +32
Xavier De Tiège, MD,PhD
study chair · Laboratoire de Neuroanatomie et Neuroimagerie translationnelles Université Libre de Bruxelles

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Interested in this study?

Eligibility is decided by the study team. Share this record with your doctor or contact the team directly.

Contact study team

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion