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Brain tumors, despite their relatively low incidence among cancers, are associated with high morbidity and mortality due to the brain's complexity. Biopsy, the gold standard for tumor grading, is limited by invasiveness, costs, and sampling issues. Conventional MR imaging lacks sensitivity to differentiating tumor grades, while magnetic resonance elastography (MRE) offers non-invasive assessment potential. This retrospective study reviewed MRE data from 626 brain tumor patients (May 2017-September 2025) to evaluate MRE's diagnostic performance, success rate in tumor grading, and clinical reliability, aiming to advance its role in non-invasive brain tumor assessment.
Despite their relatively low incidence among all cancers, brain tumors are associated with substantial morbidity and mortality, attributed to the brain's intricate structure and critical physiological roles. Pathologically categorized into metastases to the CNS; meningiomas; gliomas, glioneuronal tumors, and neuronal tumors; tumors of the sellar region; cranial and paraspinal nerve tumors; hematolymphoid tumors; mesenchymal, non-meningothelial tumors; embryonal tumors; germ cell tumors; and choroid plexus tumors, these neoplasms undergo a complex, multi-stage evolution-encompassing initial cellular alterations, tumorigenesis, progression, and potential metastasis. Their oncogenesis is intricately linked to dysregulated cell differentiation during embryonic development, where lower differentiation grades typically correlate with higher malignancy. Clinically, brain tumors manifest as elevated intracranial pressure, neurological and cognitive deficits, and epileptic seizures.
The curability of brain tumors depends on tumor type, grading, and therapeutic strategies. While benign tumors often achieve complete remission through surgical resection, malignant tumors require sophisticated multimodal therapies. Although biopsy serves as the gold standard for tumor grading, its invasive nature, high cost, potential complications, poor patient tolerance, and susceptibility to sampling bias and interpretive subjectivity limit its applicability for frequent monitoring. In this context, non-invasive imaging modalities-such as magnetic resonance elastography (MRE)-capable of longitudinal assessment of lesioned brain tissue, provide invaluable clinical insights, guiding emerging therapeutic interventions aimed at decelerating or halting progression to terminal brain tumors.
Conventional magnetic resonance (MR) imaging effectively visualizes tumors via morphological changes; however, these traditional techniques demonstrate limited sensitivity to differentiating tumor grades. Emerging evidence highlights MRE's potential in tumor grading and diagnosis. Despite the increasing clinical adoption of brain MRE, its widespread implementation remains restricted. Therefore, rigorous quality control of MRE acquisitions is essential to ensure result reproducibility and reliability, while identifying root causes of suboptimal outcomes.
This retrospective study analyzed MRE findings from 626 patients with brain tumors between May 2017 and September 2025. By evaluating MRE's diagnostic efficacy, success rate in tumor grading, and clinical reliability, the research addresses critical gaps in non-invasive brain tumor assessment, contributing to the advancement of evidence-based neuro-oncological imaging practices.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Intracranial Neoplastic and Non-Neoplastic Lesions | This group encompasses patients with intracranial neoplastic lesions (including low-grade tumors, WHO 1-2; and high-grade tumors, WHO 3-4) and non-neoplastic lesions. It involves retrospective analysis of magnetic resonance elastography (MRE) data to assess the feasibility and diagnostic accuracy of MRE in identifying and differentiating various intracranial pathologies. |
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| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic Accuracy of Magnetic Resonance Elastography (MRE) for Brain Tumor Grading | Evaluate diagnostic performance of MRE in differentiating brain tumor grades (e.g., WHO grades), using pathological results as the gold standard. Metrics include sensitivity, specificity, and overall diagnostic accuracy. | Data collection period: May 2017-Sepember 2025 (retrospective analysis of existing MRE and clinical data). |
| Success Rate of Magnetic Resonance Elastography (MRE) in Assessing Intracranial Space-Occupying Lesions | Determine the successful application rate of MRE in acquiring valid imaging data for intracranial space-occupying lesions, analyzing technical feasibility and influencing factors. | Data analysis period: May 2017-December 2026. |
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Inclusion Criteria:
Patients were excluded if they had:
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This retrospective study enrolled 626 patients diagnosed with intracranial space-occupying lesions who underwent magnetic resonance elastography (MRE) at Shengjing Hospital between May 2017 and September 2025. All participants had available MRE data, met inclusion criteria (scheduled for intracranial space-occupying lesion resection surgery and provided written informed consent), and covered diverse intracranial space-occupying lesions , serving as the cohort for MRE-based space-occupying lesions characteristic analysis.
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| Name | Affiliation | Role |
|---|---|---|
| Yu Shi, MD | Shengjing Hospital | Principal Investigator |
| Anhua Wu, MD | Shengjing Hospital | Principal Investigator |
| Wen Cheng, MD | Shengjing Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Shengjing Hospital | Shenyang | Liaoning | 110000 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 26162026 | Background | Yin M, Glaser KJ, Talwalkar JA, Chen J, Manduca A, Ehman RL. Hepatic MR Elastography: Clinical Performance in a Series of 1377 Consecutive Examinations. Radiology. 2016 Jan;278(1):114-24. doi: 10.1148/radiol.2015142141. Epub 2015 Jul 8. | |
| 34185076 | Background | Louis DN, Perry A, Wesseling P, Brat DJ, Cree IA, Figarella-Branger D, Hawkins C, Ng HK, Pfister SM, Reifenberger G, Soffietti R, von Deimling A, Ellison DW. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro Oncol. 2021 Aug 2;23(8):1231-1251. doi: 10.1093/neuonc/noab106. |
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| ID | Term |
|---|---|
| D001932 | Brain Neoplasms |
| ID | Term |
|---|---|
| D016543 | Central Nervous System Neoplasms |
| D009423 | Nervous System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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| D001927 |
| Brain Diseases |
| D002493 | Central Nervous System Diseases |
| D009422 | Nervous System Diseases |