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Updated: Apr 20, 2026
Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections
Published on: July 31, 2017
[New software for objective evaluation of brain glioblastoma resection degree]
Abstract:
The visual evaluation of the degree of GBM resection based upon postoperative enhanced MRI is still difficult. It is explained by intricate complex of tumor residual fragments, blood cells, hemostatic tissues and perifocal edema that located in the postoperative area. We introduce the new software-based method for postoperative MRI data's objective estimation. Five independent specialists had examined 16 patients' MRI data (including 12 GBM and 4 patients with noninfiltrative intracerebral tumors) and tested the method's specificity and sensitivity against the enhanced residual tumor (ERT). Our software determines the 100% sensitivity and specificity against hemostatic agent Surgicel, the high recurrence rate of results while estimating the volume of ERT (0,14 ± 0,02 cm³) and low considerable time (5,21 ± 0,14 min). The software was can be used both daily practice and research of malignant glioma management.
Insights
Evaluating postoperative MRI for glioblastoma (GBM) resection is challenging. A new software method objectively estimates residual tumor, improving accuracy and efficiency in glioma management.
Area of Science:
- Neuroimaging
- Oncology
- Medical Software Development
Background:
- Postoperative assessment of Glioblastoma (GBM) resection using enhanced MRI is often subjective and difficult due to complex factors like residual tumor, blood products, and edema.
- Accurate evaluation of residual tumor is critical for determining prognosis and guiding further treatment in malignant glioma management.
Purpose of the Study:
- To introduce and validate a novel software-based method for objective, quantitative assessment of postoperative enhanced MRI data in patients with brain tumors.
- To evaluate the sensitivity and specificity of the software in differentiating enhanced residual tumor (ERT) from postoperative artifacts.
Main Methods:
- A software tool was developed for objective analysis of postoperative enhanced MRI scans.
- The software was tested by five independent specialists on MRI data from 16 patients (12 GBM, 4 non-infiltrative tumors).
- The method's performance was evaluated against enhanced residual tumor (ERT) and hemostatic agents.
Main Results:
- The software demonstrated 100% sensitivity and specificity in distinguishing the hemostatic agent Surgicel from tumor tissue.
- High reproducibility was observed in estimating enhanced residual tumor (ERT) volume (0.14 ± 0.02 cm³).
- The software provided a low estimation time (5.21 ± 0.14 minutes), indicating high efficiency.
Conclusions:
- The developed software offers an objective and reliable method for evaluating postoperative GBM resection status.
- This tool has the potential to enhance clinical decision-making and research in malignant glioma management.
- The software's efficiency and accuracy can aid in daily practice and future research endeavors.
