Abstract
Purpose
To explore the value of MRI conventional features and apparent diffusion coefficient
(ADC) on the differential diagnosis of atypical meningioma (AtM) and anaplastic meningioma
(AnM).
Materials and methods
This retrospective study analyzed the preoperative clinical data, MRI conventional
features, and DWI data of 55 AtM and 25 AnM confirmed by pathology in our hospital.
The clinical features, MRI conventional features, ADCmean, ADCmin, and relative ADC
(rADC) values were compared between the two tumors by Chi-square test or an independent
sample t-test. Receiver operating characteristic curve (ROC) and binary logistic regression
analysis were used to evaluate the diagnostic efficacy of each parameter to differentiate
between these tumors.
Results
The MRI conventional features had a certain ability to distinguish AnM and AtM, with
an area under the curve value (AUC) of 0.824 (95% CI, 0.723–0.900). The ADCmean, ADCmin,
and rADC values were significantly higher in AtM compared to AnM (all P < 0.05). ADCmean had the best identification effect with an AUC of 0.867 (95% CI,
0.772–0.933) among them, at an cut-off of 0.817 × 10−3 mm2/s, the sensitivity and specificity of distinguishing AtM from AnM were 78.18% and
88.00%, respectively. A combination of ADCmean and MRI conventional features showed
the optimum discrimination ability for the two tumors, the AUC, sensitivity, specificity,
and accuracy were 0.918 (95% CI, 0.835–0.967), 80.00%, 94.55%, and 90.00%, respectively.
Conclusion
MRI conventional features combined with ADCmean, as a non-invasive method, has potential
clinical value in the preoperative diagnosis of AtM and AnM.
Keywords
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References
- Meningiomas: overview and new directions in therapy.Semin Neurol. 2018; 38: 112-120
- The 2016 World Health Organization classification of tumors of the central nervous system: a summary.Acta Neuropathol. 2016; 131: 803-820
- Necrosis is a consistent factor to recurrence of meningiomas: should it be a stand-alone grading criterion for grade II meningioma?.J Neurooncol. 2018; 137: 331-336
- Molecular biology, diagnosis, and therapy of meningiomas.Pathologe. 2019; 40: 514-518
- Atypical meningiomas.in: Handbook of Clinical Neurology. 170. 2020: 233-244
- Malignant meningiomas.in: Handbook of Clinical Neurology. 170. 2020: 245-250
- Anaplastic meningioma: octreotide therapy for a case of recurrent and progressive intracranial disease.J Neurosurg. 2016; 124: 496-500
- Predictors of treatment response and survival outcomes in meningioma recurrence with atypical or anaplastic histology.Neurosurgery. 2018; 82: 824-832
- An overview of meningiomas.Future Oncol. 2018; 14: 2161-2177
- Efficacy of adjuvant radiotherapy for atypical and anaplastic meningioma.Cancer Med. 2019; 8: 13-20
- Differentiating intracranial solitary fibrous tumor/hemangiopericytoma from meningioma using diffusion-weighted imaging and susceptibility-weighted imaging.Neuroradiology. 2020; 62: 175-184
- Role of ADC values and ratios of MRI scan in differentiating typical from atypical/anaplastic meningiomas.J Pak Med Assoc. 2018; 68: 1403-1406
- Multiplatform genomic profiling and magnetic resonance imaging identify mechanisms underlying intratumor heterogeneity in meningioma.Nat Commun. 2020; 11: 4803
- Magnetic resonance imaging and diffusion-weighted images of cystic meningioma: correlating with histopathology.Clin Imaging. 2004; 28: 10-19
- ADC values of benign and high grade meningiomas and associations with tumor cellularity and proliferation - a systematic review and meta-analysis.J Neurol Sci. 2020; 415116975
- The histopathological spectrum of human meningiomas.Int J Clin Exp Pathol. 2012; 5: 231-242
- Magnetic resonance imaging and diffusion weighted imaging in the differential diagnosis of microcystic meningioma and atypical meningioma.Chin J Med Imaging. 2020; 28 ([In Chinese]): 493-498
- The role of radiotherapy in the management of high-grade meningiomas.Chin Clin Oncol. 2017; 6: S5
- Meningiomas with brain edema: radiological characteristics on MRI and review of the literature.Clin Imaging. 2002; 26: 243-249
- Comparative analysis of the magnetic resonance imaging features between anaplastic meningioma and atypical meningioma.J Craniofac Surg. 2016; 27: e229-e233
- Differentiating microcystic meningioma from atypical meningioma using diffusion-weighted imaging.Neuroradiology. 2020; 62: 601-607
- Diagnostic accuracy of diffusion weighted MRI in differentiating benign and malignant meningiomas.Pak JMed Sci. 2019; 35: 726-730
- Apparent diffusion coefficient values in differential diagnosis and prognostic prediction of solitary of fibrous tumor/hemangiopericytoma (WHOII) and atypical meningioma.Technol Health Care. 2019; 27: 137-147
- Diffusion weighted imaging may help differentiate intracranial hemangiopericytoma from meningioma.J Neuroradiol. 2019; 46: 263-267
- Value of apparent diffusion coefficient (ADC) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentially diagnosing angiomatous meningiomas and solitary fibrous Tumors/Hemangiopericytomas.Med SciMonitInt MedJ ExpClin Res. 2019; 25: 5992-5996
- Diffusion-weighted imaging in meningioma: prediction of tumor grade and association with histopathological parameters.Transl Oncol. 2015; 8: 517-523
- Comparison of ADC values of intracranial hemangiopericytomas and angiomatous and anaplastic meningiomas.J Neuroradiol. 2014; 41: 188-194
- Correlation analysis of ADC value, radc value and Ki-67 proliferation index in meningioma.J Clin Radiol. 2017; 36 ([In Chinese]): 11-14
- Hepatic hemangiomas: factors associated with T2 shine-through effect on diffusion-weighted MR sequences.Eur J Radiology. 2014; 83: 468
Article info
Publication history
Published online: December 12, 2021
Accepted:
December 6,
2021
Received in revised form:
November 6,
2021
Received:
July 12,
2021
Identification
Copyright
© 2021 Published by Elsevier Inc.
