Figure - available from: Neurosurgical Review
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Fifty-three-year-old male patient with left frontal lobe WHO3 grade OD (a–f). The irregular lesion in the left frontal lobe with nonuniform low signal on T1WI and nonuniform high signal on T2WI, with cystic necrosis area, unclear tumor brain boundary, and peritumoral edema, T1 enhancement exhibited obvious, ring-shaped enhancement. The solid component of the tumor exhibited a high signal on DWI and low signal on ADC (ADCmin = 0.73 × 10–3 mm.²/s). Histopathological examination revealed diffuse distribution of tumor cells, obvious abnormity, vascular hyperplasia with endothelial cell proliferation, and tumor cell necrosis in some areas.(hematoxylin and eosin-stained sections, × 200)
Source publication
This study aims to evaluate the value of conventional magnetic resonance imaging (MRI) features and apparent diffusion coefficient (ADC) values in differentiating oligodendroglioma of various grades and explore the correlation between ADC and Ki-67. The preoperative MRI data of 99 patients with World Health Organization (WHO) grades 2 (n = 42) and...
Citations
... Diffusion-weighted imaging is the most common functional magnetic resonance imaging (MRI) technique used to quantitatively reveal and reflect tumor microstructure by measuring the apparent diffusion coefficient (ADC) value [13,14]. However, the relationship between ADC values and PR expression in meningiomas remains unclear. ...
Purpose
This study investigated the value of whole tumor apparent diffusion coefficient (ADC) histogram parameters and magnetic resonance imaging (MRI) semantic features in predicting meningioma progesterone receptor (PR) expression.
Materials and methods
The imaging, pathological, and clinical data of 53 patients with PR-negative meningiomas and 52 patients with PR-positive meningiomas were retrospectively reviewed. The whole tumor was outlined using Firevoxel software, and the ADC histogram parameters were calculated. The differences in ADC histogram parameters and MRI semantic features were compared between the two groups. The predictive values of parameters for PR expression were assessed using receiver operating characteristic curves. The correlation between whole-tumor ADC histogram parameters and PR expression in meningiomas was also analyzed.
Results
Grading was able to predict the PR expression in meningiomas (p = 0.012), though the semantic features of MRI were not (all p > 0.05). The mean, Perc.01, Perc.05, Perc.10, Perc.25, and Perc.50 histogram parameters were able to predict meningioma PR expression (all p < 0.05). The predictive performance of the combined histogram parameters improved, and the combination of grade and histogram parameters provided the optimal predictive value, with an area under the curve of 0.849 (95%CI: 0.766–0.911) and sensitivity, specificity, ACC, PPV, and NPV of 73.08%, 81.13%, 77.14%, 79.20%, and 75.40%, respectively. The mean, Perc.01, Perc.05, Perc.10, Perc.25, and Perc.50 histogram parameters were positively correlated with PR expression (all p < 0.05).
Conclusion
Whole tumor ADC histogram parameters have additional clinical value in predicting PR expression in meningiomas.
... In our study, we found that among all the clinical features, only the tumour axial maximal diameter feature was significantly different between the high and low Ki-67 proliferation index expression groups in IDH-wildtype GB, and the axial maximal diameter was larger in IDH-wildtype GB in the high Ki-67 proliferation index expression group. This finding is plausible that Ki-67 reflects cell proliferative activity and is closely related to the degree of differentiation, invasion and tumour prognosis [23], as high expression of Ki-67 proliferation index promotes tumour growth and leads to increased tumour infiltration and invasiveness. We found that among all VASARI features, tumour haemorrhage was significantly different between the groups with high and low Ki-67 proliferative index expression, and the haemorrhage was more frequent in the group with high Ki-67 proliferative index expression. ...
To investigate the value of using VASARI signs preoperatively to assess Ki-67 proliferation index levels in patients with IDH-wildtype glioblastoma (GB).
Pathological and imaging data of 154 patients with GB confirmed by surgical pathology were retrospectively analysed, and the level of Ki-67 proliferative index was assessed in tumour tissue samples from patients using immunohistochemistry (IHC) staining. Patients were divided into a high and low Ki-67 proliferation index expression group. Two radiologists analysed MRI images of patients with IDH-wildtype GB using the VASARI features system. VASARI parameters between the two groups were statistically analysed to identify characteristic parameters with significant differences and their predictive performance was determined using ROC curves.
Among the obtained clinical and VASARI features of IDH-wildtype GB patients, the distribution of Maximum diameter, Proportion of necrosis and Hemorrhage was significantly different between the two groups (all p < 0.05). Multivariate logistic regression analysis showed that Maximum diameter and Hemorrhage were independent risk factors distinguishing the group with high and low expression of Ki-67 proliferative index. ROC curve analysis showed that the logistic regression model achieved an AUC value of 0.730 (95% CI: 0.639, 0.822), sensitivity of 0.628 and specificity of 0.756.
Logistic regression modelling of preoperative VASARI features can be used as a reliable tool for predicting the level of Ki-67 proliferative index in IDH-wildtype GB patients, which can help in preoperative development of treatment and follow-up strategies for patients.
