The assessment of immature microvascular density in brain gliomas with dynamic contrast-enhanced magnetic resonance imaging

Zhong, Jia; Gu, Hong; Zhou, Xue Jun; Shi, Jin; Li, Min Da; Zhou, Guo; Wu, Xinmin

doi:10.1016/j.ejrad.2015.05.035

Cited by 40 publications

(39 citation statements)

References 19 publications

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“…Prior studies have shown a positive correlation between MVD and CBV obtained from perfusion CT or DCE-MR imaging in patients with gliomas. [16][17][18][19] In patients with recurrent high-grade gliomas, Hu et al 20 found that rCBV correlated strongly with MVA but weakly with MVD, in agreement with our study. Because highgrade gliomas in humans can display very heterogeneous vessels in terms of size, MVA has been found to be a better marker for angiogenesis than MVD because it encompasses both the number and size of microvessels.…”

Section: Discussionsupporting

confidence: 81%

Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas

Nguyen

Cron

Bezzina

et al. 2016

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:Tumor CBV is a prognostic and predictive marker for patients with gliomas. Tumor CBV can be measured noninvasively with different MR imaging techniques; however, it is not clear which of these techniques most closely reflects histologicallymeasured tumor CBV. Our aim was to investigate the correlations between dynamic contrast-enhanced and DSC-MR imaging parameters and immunohistochemistry in patients with gliomas.

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Section: Discussionsupporting

confidence: 81%

Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas

Nguyen

Cron

Bezzina

et al. 2016

AJNR Am J Neuroradiol

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“…Previous studies in adult brain tumors have shown that higher-grade tumors have increased values of blood-brain barrier permeability measures like K trans , V e , and K ep [14,27,28] and these parameters were found to be useful for grading of gliomas. Vajapeyam et al [8] , in their recently published study, reported higher K trans and K ep values and lower V e values in higher-grade pediatric tumors.…”

Section: Discussionmentioning

confidence: 99%

Role of Dynamic Contrast-Enhanced Perfusion Magnetic Resonance Imaging in Grading of Pediatric Brain Tumors on 3T

Gupta¹,

Saini²,

Sahoo³

et al. 2017

Pediatr Neurosurg

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Background/Aims: Perfusion magnetic resonance imaging (MRI) is useful for preoperative assessment of brain tumors. Dynamic susceptibility contrast perfusion MRI is commonly used for evaluation of brain tumors. Dynamic contrast-enhanced (DCE) MRI is an alternative method that has mainly been used in adult brain tumors. In this preliminary study, we report our initial experience with the DCE perfusion MRI in pediatric brain tumors. Methods: Sixty-four newly diagnosed pediatric brain tumor patients underwent DCE perfusion MRI on a 3-T scanner. Hemodynamic and kinetic parametric maps were generated and the regions with the highest values were measured on each map. Statistical differences were sought to differentiate between low-grade tumors, high-grade tumors, and medulloblastomas. The perfusion metrics of common posterior fossa tumors were also compared. Results: Relative corrected cerebral blood volume (rCBV) and fractional plasma volume measures differed significantly between high- and low-grade tumors (p < 0.05). High-grade tumors could be differentiated from low-grade tumors, with an rCBV cutoff value of 2.41 and 88.6% sensitivity and 65% specificity. There was no significant difference in K^trans, K_ep, V_e, or λ^tr between these 2 groups of tumors. rCBV, relative quantification of the cerebral blood flow, and permeability indices were found to be significantly different in various posterior fossa tumors, i.e., pilocytic astrocytoma, ependymoma, and medulloblastoma (p < 0.05). Conclusion: DCE-derived perfusion metrics are useful in differentiating high-grade tumors from low-grade ones and discriminating among various posterior fossa tumors in the pediatric age group.

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“…We observed that radiomics features CE T1-w_5_fos_median, T2-w_3_fos_mean, and T2-w_Max3D were significantly associated with both overall stage and T-stage. In many previous studies that used IHC methods, dynamic-contrast-enhanced MRI (DCE-MRI), or PET/CT, researchers have found that angiogenesis is closely related to tumor invasion and metastasis, which can be staged by TNM (42)(43)(44)(45)(46)(47). Unlike the traditional methods, radiomics offers a noninvasive and low-cost method of providing new insights into the associations between tumor angiogenesis and biological behaviors.…”

Section: Discussionmentioning

confidence: 99%

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

Zhang

Tian

Dong

et al. 2017

Clinical Cancer Research

420

351

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Purpose: To identify MRI-based radiomics as prognostic factors in patients with advanced nasopharyngeal carcinoma (NPC).Experimental Design: One-hundred and eighteen patients (training cohort: n ¼ 88; validation cohort: n ¼ 30) with advanced NPC were enrolled. A total of 970 radiomics features were extracted from T2-weighted (T2-w) and contrast-enhanced T1-weighted (CET1-w) MRI. Least absolute shrinkage and selection operator (LASSO) regression was applied to select features for progression-free survival (PFS) nomograms. Nomogram discrimination and calibration were evaluated. Associations between radiomics features and clinical data were investigated using heatmaps.Results: The radiomics signatures were significantly associated with PFS. A radiomics signature derived from joint CET1-w and T2-w images showed better prognostic performance than signatures derived from CET1-w or T2-w images alone. One radiomics nomogram combined a radiomics signature from joint CET1-w and T2-w images with the TNM staging system. This nomogram showed a significant improvement over the TNM staging system in terms of evaluating PFS in the training cohort (C-index, 0.761 vs. 0.514; P < 2.68 Â 10 À9 ). Another radiomics nomogram integrated the radiomics signature with all clinical data, and thereby outperformed a nomogram based on clinical data alone (C-index, 0.776 vs. 0.649; P < 1.60 Â 10 À7 ). Calibration curves showed good agreement. Findings were confirmed in the validation cohort. Heatmaps revealed associations between radiomics features and tumor stages. Conclusions: Multiparametric MRI-based radiomics nomograms provided improved prognostic ability in advanced NPC. These results provide an illustrative example of precision medicine and may affect treatment strategies.

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The assessment of immature microvascular density in brain gliomas with dynamic contrast-enhanced magnetic resonance imaging

Cited by 40 publications

References 19 publications

Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas

Correlation of Tumor Immunohistochemistry with Dynamic Contrast-Enhanced and DSC-MRI Parameters in Patients with Gliomas

Role of Dynamic Contrast-Enhanced Perfusion Magnetic Resonance Imaging in Grading of Pediatric Brain Tumors on 3T

Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma

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