Susceptibility-weighted imaging: The value in cerebral astrocytomas grading

Zhang, Hui; Tan, Yan; Wang, Xiaochun; Qing, Jiang-Bo; Wang, Le; Wu, Xin; Zhang, Lei; Qi-wang, Liu

doi:10.4103/0028-3886.117617

Cited by 8 publications

(4 citation statements)

References 13 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…20 Our research revealed that the number of visible intratumoral vessels had a significant positive effect on the quantity of intratumoral microbleeds on CE-T 1 WI FSBB, suggesting that hypervascular tumors were more likely to bleed, which may provide a valuable reference for assessing the risk of complications before surgery and aiding in deciding whether to implement vascular embolization. A study reported that CE-SWI performed better than CE-T 1 WI in visualizing small tumor vessels and microhemorrhages, 23 and we also observed that CE-T 1 WI FSBB could display more small tumor vessels than CE-T 1 WI. Previous studies have shown that hemorrhagic lesions and blood vessels in brain tumors can reflect pathological classification and grade as well as molecular biomarkers.…”

Section: Discussionsupporting

confidence: 75%

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T₁‐Weighted Flow‐Sensitive Black‐Blood Sequence

Cao

Yin

et al. 2022

Magnetic Resonance Imaging

View full text Add to dashboard Cite

Background: Three-dimensional (3D) contrast-enhanced T 1 -weighted flow-sensitive black-blood (CE-T 1 WI FSBB) is a newly developed black blood sequence by adding motion probing gradient pulses to gradient echo (GRE) sequences, which has important value for the preoperative assessment of tumor brain blood supply vessels and intratumoral microbleeds. Purpose: To compare 3D CE-T 1 WI FSBB and 3D contrast-enhanced fast spin echo (FSE) sequence for T 1 WI for preoperative assessment of blood vessels and microbleeds in brain tumors and to investigate the correlation between visible vessels and microbleeds. Study type: Prospective. Subjects: One hundred and seventy-five patients with brain tumors, 65 were male, 110 were female. Including histologically confirmed 73 meningiomas, 23 schwannomas, 20 gliomas, 7 hemangioblastomas, 5 metastases, 2 lymphomas, 2 hemangiopericytomas, 2 germ cell tumors, 1 craniopharyngioma, and 1 cholesteatoma.

show abstract

Section: Discussionsupporting

confidence: 75%

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T₁‐Weighted Flow‐Sensitive Black‐Blood Sequence

Cao

Yin

et al. 2022

Magnetic Resonance Imaging

View full text Add to dashboard Cite

show abstract

“…First, we aimed to determine the optimal radiomic features of each sequence and then combined those features to acquire better efficiency in glioma grading. Radiomic features from multiple sequences and combined features may provide more comprehensive information for glioma grading and supplement conventional MRI and other functional MRI features [18,19]. Combined features may supply a frame of reference for clinical diagnosis and treatment decision-making, as well as for prognosis prediction.…”

Section: Introductionmentioning

confidence: 99%

Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences

et al. 2017

Self Cite

View full text Add to dashboard Cite

BackgroundGliomas are the most common primary brain neoplasms. Misdiagnosis occurs in glioma grading due to an overlap in conventional MRI manifestations. The aim of the present study was to evaluate the power of radiomic features based on multiple MRI sequences – T2-Weighted-Imaging-FLAIR (FLAIR), T1-Weighted-Imaging-Contrast-Enhanced (T1-CE), and Apparent Diffusion Coefficient (ADC) map – in glioma grading, and to improve the power of glioma grading by combining features.Material/MethodsSixty-six patients with histopathologically proven gliomas underwent T2-FLAIR and T1WI-CE sequence scanning with some patients (n=63) also undergoing DWI scanning. A total of 114 radiomic features were derived with radiomic methods by using in-house software. All radiomic features were compared between high-grade gliomas (HGGs) and low-grade gliomas (LGGs). Features with significant statistical differences were selected for receiver operating characteristic (ROC) curve analysis. The relationships between significantly different radiomic features and glial fibrillary acidic protein (GFAP) expression were evaluated.ResultsA total of 8 radiomic features from 3 MRI sequences displayed significant differences between LGGs and HGGs. FLAIR GLCM Cluster Shade, T1-CE GLCM Entropy, and ADC GLCM Homogeneity were the best features to use in differentiating LGGs and HGGs in each MRI sequence. The combined feature was best able to differentiate LGGs and HGGs, which improved the accuracy of glioma grading compared to the above features in each MRI sequence. A significant correlation was found between GFAP and T1-CE GLCM Entropy, as well as between GFAP and ADC GLCM Homogeneity.ConclusionsThe combined radiomic feature had the highest efficacy in distinguishing LGGs from HGGs.

show abstract

“…Our results showed mean ITSS score was greatly higher in high-grade tumors than that in low-grade OTSCCs. Value of ITSSs and ITSS score in grading gliomas has been described in many studies [19, 22–24], linear or dot-like ITSSs were more frequently observed in high-grade gliomas than in low-grade ones, so that high-grade gliomas got higher ITSS scores. Considering effect of tumor size on ITSS score, we defined ITSS ratio in this study.…”

Section: Discussionmentioning

confidence: 96%

“…Therefore, SWI is helpful in neuroimaging and cancer imaging to detect more internal characteristics. Nowadays, SWI has been widely used in differential diagnosis of central system tumors and assessing WHO grade for brain astrocytomas [19–24]. Intratumoral various characteristics such as vasculature and microhemorrhage may reflect tumor heterogeneity and be related to tumor histological grade.…”

Section: Introductionmentioning

confidence: 99%

Multi-parametric effect in predicting tumor histological grade by using susceptibility weighted magnetic resonance imaging in tongue squamous cell carcinoma

et al. 2019

View full text Add to dashboard Cite

BackgroundSusceptibility weighted imaging (SWI) is helpful for depicting hemorrhage, calcification, and increased vascularity in some neoplasms, which may reflect tumor grade. In this study, we aimed to apply SWI in patients with oral tongue squamous cell carcinomas (OTSCCs) and relate multi-parametric effect to tumor histological grade prediction.MethodsPreoperative MR examinations were performed on a 1 .5T MRI scanner with T1-, T2- and contrast-enhanced (CE) T1-weighted imaging. In addition to routine head and neck MRI sequences, SWI was performed. Tumor thickness and volume were measured. Intratumoral susceptibility signal intensities (ITSSs), ITSS score and ITSS ratio on SWI were evaluated and recorded. Subjects were sub-grouped into low- and high-grade according to the histological findings post operation. Parameters such as tumor thickness, tumor volume and three ITSS related parameters were compared between low- and high-grade groups. ROC analysis was performed on above parameters to access the capability in predicting tumor histological grade. Different multi-parametric models were run to access multi-parametric combination effect.ResultsThirty patients with OTSCC were finally included in the study. Twenty of them were categorized as low-grade SCC and the other ten subjects were high-grade SCC according to the pathologic findings. No significant difference was seen for tumor thickness or tumor volume between two sub-groups. ITSSs were seen in 23/30 patients. Significant difference of ITSS scores between low- and high-grade OTSCCs was observed, with mean value of 0.95 ± 0.83 and 1.70 ± 0.95, respectively. Univariate ROC analysis demonstrated ITSSs, ITSS score and ITSS ratio were valuable parameters for predicting tumor histological grade and ITSSs was superior to the other two parameters, with an area under ROC curve of 0.790. Multi-parametric model using combination of ITSSs and tumor thickness would greatly improve the predictive capability in comparison with a univariate approach, yielding the area under ROC curve of 0.84(0.69,0.99). On contrast-enhanced SWI (CE-SWI), ITSSs were shown more clearly delineated in comparison with non-contrast enhanced SWI.ConclusionsIn conclusion, SWI was superior in depiction of internal characteristics of OTSCCs, which would potentially provide more diagnostic information. Multi-parametric model using combination of ITSSs and tumor thickness would be valuable in predicting tumor histological grade.

show abstract

Susceptibility-weighted imaging: The value in cerebral astrocytomas grading

Abstract: SWI plays an important role in astrocytoma grading, especially for enhanced astrocytomas after contrast injection. CE-SWI was better than CE-T1WI in visualizing tumor architecture.

Cited by 8 publications

References 13 publications

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T₁‐Weighted Flow‐Sensitive Black‐Blood Sequence

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T₁‐Weighted Flow‐Sensitive Black‐Blood Sequence

Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences

Multi-parametric effect in predicting tumor histological grade by using susceptibility weighted magnetic resonance imaging in tongue squamous cell carcinoma

Contact Info

Product

Resources

About

Susceptibility-weighted imaging: The value in cerebral astrocytomas grading

Abstract: SWI plays an important role in astrocytoma grading, especially for enhanced astrocytomas after contrast injection. CE-SWI was better than CE-T1WI in visualizing tumor architecture.

Cited by 8 publications

References 13 publications

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T1‐Weighted Flow‐Sensitive Black‐Blood Sequence

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T1‐Weighted Flow‐Sensitive Black‐Blood Sequence

Grading of Gliomas by Using Radiomic Features on Multiple Magnetic Resonance Imaging (MRI) Sequences

Multi-parametric effect in predicting tumor histological grade by using susceptibility weighted magnetic resonance imaging in tongue squamous cell carcinoma

Contact Info

Product

Resources

About

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T₁‐Weighted Flow‐Sensitive Black‐Blood Sequence

Preoperative Assessment of Blood Vessels and Intratumoral Microbleeds in Brain Tumors Based on a 3D Contrast‐Enhanced T₁‐Weighted Flow‐Sensitive Black‐Blood Sequence