Differentiating atypical meningioma from anaplastic meningioma using diffusion weighted imaging

Han, Tao; Zhang, Jing; Liu, Xianwang; Zhang, Bin; Deng, Liangna; Lin, Xiaoqiang; Jing, Mengyuan; Zhang, Junlin

doi:10.1016/j.clinimag.2021.12.004

Cited by 11 publications

(4 citation statements)

References 23 publications

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“…The Ki-67 proliferation index represents the proliferative activity of tumor cells. The Ki-67 proliferation index increases with an increased degree of malignancy; thus, it can be used to evaluate the stage and grade of tumors (16,27). WHO grade 3 and 4 astrocytomas have more malignant histological features than grade 2 tumors.…”

Section: Discussionmentioning

confidence: 99%

“…Enhancement combined ADC was able to better assist with tumor grading. The ADC min reacted to the most active part of tumors, the most similar pathological features of different grade tumors, which has been used to evaluate the Ki-67 proliferation index (3,23,27). Overall, the findings of our study indicated that of all the ADC parameters, ADC min is most accurate in predicting the grade of adult IDH-mutant astrocytomas.…”

Section: Discussionmentioning

confidence: 99%

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The role of apparent diffusion coefficient in the grading of adult isocitrate dehydrogenase-mutant astrocytomas: relationship with the Ki-67 proliferation index

She,

Liu,

Jiang

et al. 2024

Acta Radiol

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Background The grading of adult isocitrate dehydrogenase (IDH)-mutant astrocytomas is a crucial prognostic factor. Purpose To investigate the value of conventional magnetic resonance imaging (MRI) features and apparent diffusion coefficient (ADC) in the grading of adult IDH-mutant astrocytomas, and to analyze the correlation between ADC and the Ki-67 proliferation index. Material and Methods The clinical and MRI data of 82 patients with adult IDH-mutant astrocytoma who underwent surgical resection and molecular genetic testing with IDH and 1p/19q were retrospectively analyzed. The conventional MRI features, ADCmin, ADCmean, and nADC of the tumors were compared using the Kruskal–Wallis single factor ANOVA and chi-square tests. Receiver operating characteristic (ROC) curves were drawn to evaluate conventional MRI and ADC accuracy in differentiating tumor grades. Pearson correlation analysis was performed to determine the correlation between ADC and the Ki-67 proliferation index. Results The difference in enhancement, ADCmin, ADCmean, and nADC among WHO grade 2, 3, and 4 tumors was statistically significant (all P <0.05). ADCmin showed the preferable diagnostic accuracy for grading WHO grade 2 and 3 tumors (AUC=0.724, sensitivity=63.4%, specificity=80%, positive predictive value (PPV)=62.0%; negative predictive value (NPV)=82.5%), and distinguishing grade 3 from grade 4 tumors (AUC=0.764, sensitivity=70%, specificity=76.2%, PPV=75.0%, NPV=71.4%). Enhancement + ADC model showed an optimal predictive accuracy (grade 2 vs. 3: AUC = 0.759; grade 3 vs. 4: AUC = 0.799). The Ki-67 proliferation index was negatively correlated with ADCmin, ADCmean, and nADC (all P <0.05), and positively correlated with tumor grade. Conclusion Conventional MRI features and ADC are valuable to predict pathological grading of adult IDH-mutant astrocytomas.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The role of apparent diffusion coefficient in the grading of adult isocitrate dehydrogenase-mutant astrocytomas: relationship with the Ki-67 proliferation index

She,

Liu,

Jiang

et al. 2024

Acta Radiol

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“…In a meta-analysis of the correlation between ADC values and benign and high-grade meningiomas, the authors suggested that ADC values may reflect the level of meningioma aquaporin 4 and correlate with progesterone receptor status in meningiomas (15). Several previous studies have found that high-grade meningiomas have lower ADC values than low-grade meningiomas (21,22). ADC histogram analysis has been shown to be a potentially useful tool in the study of the differential diagnosis, grading, and prognosis of brain tumors by extracting features from the entire tumor and automatically generating multiple histogram parameters to achieve a comprehensive and quantitative assessment of tumor heterogeneity and other features (22)(23)(24)(25).…”

Section: Discussionmentioning

confidence: 99%

“…Several previous studies have found that high-grade meningiomas have lower ADC values than low-grade meningiomas (21,22). ADC histogram analysis has been shown to be a potentially useful tool in the study of the differential diagnosis, grading, and prognosis of brain tumors by extracting features from the entire tumor and automatically generating multiple histogram parameters to achieve a comprehensive and quantitative assessment of tumor heterogeneity and other features (22)(23)(24)(25).…”

Section: Discussionmentioning

confidence: 99%

ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index

Han,

Liu,

Jing

et al. 2023

Acta Radiol

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Background Preoperative differentiation of atypical meningioma (AtM) from transitional meningioma (TrM) is critical to clinical treatment. Purpose To investigate the role of apparent diffusion coefficient (ADC) histogram analysis in differentiating AtM from TrM and its correlation with the Ki-67 proliferation index (PI). Methods Clinical, imaging, and pathological data of 78 AtM and 80 TrM were retrospectively collected. Regions of interest (ROIs) were delineated on axial ADC images using MaZda software and histogram parameters (mean, variance, skewness, kurtosis, 1st percentile [ADCp1], 10th percentile [ADCp10], 50th percentile [ADCp50], 90th percentile [ADCp90], and 99th percentile [ADCp99]) were generated. The Mann–Whitney U test was used to compare the differences in histogram parameters between the two groups; receiver operating characteristic (ROC) curves were used to assess diagnostic efficacy in differentiating AtM from TrM preoperatively. The correlation between histogram parameters and Ki-67 PI was analyzed. Results All histogram parameters of AtM were lower than those of TrM, and the variance, skewness, kurtosis, ADCp90, and ADCp99 were significantly different ( P < 0.05). Combined ADC histogram parameters (variance, skewness, kurtosis, ADCp90, and ADCp99) achieved the best diagnostic performance for distinguishing AtM from TrM. Area under the curve (AUC), sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 0.800%, 76.25%, 67.95%, 70.15%, 70.93%, and 73.61%, respectively. All histogram parameters were negatively correlated with Ki-67 PI (r = −0.012 to −0.293). Conclusion ADC histogram analysis is a potential tool for non-invasive differentiation of AtM from TrM preoperatively, and ADC histogram parameters were negatively correlated with the Ki-67 PI.

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Differentiation of intracranial solitary fibrous tumor/hemangiopericytoma from atypical meningioma using apparent diffusion coefficient histogram analysis

et al. 2022

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Differentiating atypical meningioma from anaplastic meningioma using diffusion weighted imaging

Cited by 11 publications

References 23 publications

The role of apparent diffusion coefficient in the grading of adult isocitrate dehydrogenase-mutant astrocytomas: relationship with the Ki-67 proliferation index

The role of apparent diffusion coefficient in the grading of adult isocitrate dehydrogenase-mutant astrocytomas: relationship with the Ki-67 proliferation index

ADC histogram parameters differentiating atypical from transitional meningiomas: correlation with Ki-67 proliferation index

Differentiation of intracranial solitary fibrous tumor/hemangiopericytoma from atypical meningioma using apparent diffusion coefficient histogram analysis

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