An interventional study of Sonography in Tumor, Brain, Meningioma of Brain and Glioma, sponsored by Sklifosovsky Institute of Emergency Care. Recruiting at 1 site in Russia. Open to participants aged 18 Years to 80 Years. Per ClinicalTrials.gov, last updated 2026-10-15.
Sponsored by Sklifosovsky Institute of Emergency Care · Not applicable, Interventional, and Treatment
The study aims to perform a comparative analysis of preoperative CT/MRI and intraoperative ultrasound findings in patients with hemispheric brain tumors (meningiomas, gliomas, metastases), and to develop an intraoperative ultrasound scanning algorithm for the differential diagnosis of residual tumor tissue and sonographic artifacts within the resection cavity.
Intraoperative sonography is widely utilized in neuro-oncology to localize brain tumors and evaluate the extent of resection. Ultrasound remains the only imaging modality that allows for real-time visualization of brain tissue. Furthermore, it is cost-effective and integrates seamlessly into the surgical workflow without cause for disruption. The primary limitations of sonography include a steep learning curve and lower spatial resolution compared to magnetic resonance imaging (MRI). While the integration of novel acoustic coupling fluids, contrast-enhanced ultrasound and elastography has expanded its efficacy, the localization of isoechoic lesions with poorly defined margins and the elimination of resection cavity artifacts remain significant challenges.
The study aims to perform a comparative analysis of preoperative MRI/CT and intraoperative ultrasound findings in patients with hemispheric brain tumors (meningiomas, gliomas, metastases), and to develop an intraoperative ultrasound scanning algorithm for the differential diagnosis of residual tumor tissue and sonographic artifacts within the resection cavity.
Intraoperatively the investigator will localize tumor, correlate its sonographic characteristics with preoperative MRI/CT data, and assess the extent of resection using intraoperative ultrasound across three distinct transducer positioning modes (superficial and deep transcavity, transcortical, and via transencephalotomy approaches).
2,440 studies on the registry are indexed under Brain Neoplasms; 540 are open to participants now.
This study's planned enrollment of 100 is above the median of 40 across 1,831 interventional studies indexed under Brain Neoplasms.
Browse Brain Neoplasms studies →Sklifosovsky Institute of Emergency Care is the lead sponsor of 13 studies on the registry; 7 are open to participants now.
Counted across the registry records on this site, refreshed daily.
The criteria were revised on the registry on Oct 15, 2026. See what changed
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.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Cancer that has spread from where it began to other parts of the body. “Metastatic” cancer is cancer that has spread this way.
Metastases
Cancer that has spread from where it began to other parts of the body. “Metastatic” cancer is cancer that has spread this way.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Ultrasound-guided resection of brain tumors, vascular malformations and hematomas
Device: Sonography
Surgeon detects brain mass lesion and assesses extent of it's resection with sonography
Concordance rate between intraoperative sonographic tumor features and preoperative neuroimaging
Assessment of target lesion visibility, size, echogenicity, homogeneity, and border demarcation in intraoperative sonography, and their direct comparison to preoperative magnetic resonance imaging or computed tomography baseline data
Time frame: Intraoperatively
Sonographic differentiation accuracy of residual tumor and resection cavity artifacts
Evaluation of intraoperative ultrasound accuracy in assessing the extent of resection by identifying the peripheral hyperechoic ring and differentiating true residual tumor tissue from sonographic artifacts within the resection cavity across three probe positioning modes.
Time frame: Intraoperatively
Sensitivity of intraoperative sonography to detect mass lesion compared to preoperative magnetic resonance imaging or computed tomography (in percents)
Sensitivity = true detection of mass lesion / (true detection of mass lesion + inability to detect mass lesion) x 100
Time frame: Intraoperatively
Sensitivity of intraoperative sonography to detect residual mass lesion compared to postoperative magnetic resonance imaging or computed tomography (in percents)
Sensitivity = true detection of residual mass lesion / (true detection of residual mass lesion + inability to detect residual mass lesion) x 100
Time frame: Within 48 hours after surgery
Specificity of intraoperative sonography to detect residual mass lesions compared to postoperative magnetic resonance imaging or computed tomography (in percents)
Specificity = true absence of residual mass lesion / (true absence of residual mass lesion + false detection of residual mass lesion) x 100
Time frame: Within 48 hours after surgery
Positive predictive value of intraoperative sonography to detect residual mass lesions compared to postoperative magnetic resonance imaging or computed tomography (in percents)
Positive predictive value = true detection of residual mass lesion / (true detection of residual mass lesion + false detection of residual mass lesion) x 100
Time frame: Within 48 hours after surgery
Negative predictive value of intraoperative sonography to detect residual mass lesions compared to postoperative magnetic resonance imaging or computed tomography (in percents)
Negative predictive value = true absence of residual mass lesion / (true absence of residual mass lesion + inability to detect residual mass lesion) x 100
Time frame: Within 48 hours after surgery
Accuracy of intraoperative sonography to detect residual mass lesions compared to postoperative magnetic resonance imaging or computed tomography (in percents)
Accuracy = (true detection of residual mass lesion + true absence of residual mass lesion) / (true detection of residual mass lesion + true absence of residual mass lesion + false detection of residual mass lesion + inability to detect residual mass lesion) x 100
Time frame: Within 48 hours after surgery
Duration of mass lesion removal (in minutes)
How long did in take to remove mass lesion from starting of it's dissection till final evacuation
Time frame: Intraoperatively
Extent of resection (in percents)
Extent of resection = (preoperative tumor volume - postoperative tumor volume) / preoperative tumor volume x 100
Time frame: Within 48 hours after surgery
Karnofsky performance status (in percents)
Assessment of patients' possibilities to self-service in Karnofsky Performance Status scale
Time frame: Within 10 days after surgery
Cerebral complications
Which cerebral complications arose after surgery
Time frame: From admission to intensive care unit after surgery till hospital discharge, up to 365 days
Plan to share: No
No publications or documents are linked to this record.
Started Sep 2022 (actual). Primary completion is estimated for Aug 2027, 59 months after the start.
Of 306 non-industry interventional studies with no phase under Brain Neoplasms, half reached primary completion within 65 months of starting (the median), counting those still running; a quarter within 36 and three quarters within 125. This study's planned 59 months is close to that.
Counting every sponsor, half of 317 studies reached it within 64 months; a quarter within 35 and three quarters within 125.
How these figures are worked out, and which studies are left out of them.
From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗
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Sklifosovsky Institute of Emergency Care