scholarly journals A Clinical Semantic and Radiomics Nomogram for Predicting Brain Invasion in WHO Grade II Meningioma Based on Tumor and Tumor-to-Brain Interface Features

2021 ◽  
Vol 11 ◽  
Author(s):  
Ning Li ◽  
Yan Mo ◽  
Chencui Huang ◽  
Kai Han ◽  
Mengna He ◽  
...  
Keyword(s):  
Predictive Models ◽  
Area Under The Curve ◽  
Semantic Features ◽  
Training Set ◽  
Who Grade ◽  
Brain Invasion ◽  
Comparable Performance ◽  
Brain Interface ◽  
Grade Ii ◽  
Who Grade Ii Meningioma

BackgroundBrain invasion in meningioma has independent associations with increased risks of tumor progression, lesion recurrence, and poor prognosis. Therefore, this study aimed to construct a model for predicting brain invasion in WHO grade II meningioma by using preoperative MRI.MethodsOne hundred seventy-three patients with brain invasion and 111 patients without brain invasion were included. Three mainstream features, namely, traditional semantic features and radiomics features from tumor and tumor-to-brain interface regions, were acquired. Predictive models correspondingly constructed on each feature set or joint feature set were constructed.ResultsTraditional semantic findings, e.g., peritumoral edema and other four features, had comparable performance in predicting brain invasion with each radiomics feature set. By taking advantage of semantic features and radiomics features from tumoral and tumor-to-brain interface regions, an integrated nomogram that quantifies the risk factor of each selected feature was constructed and had the best performance in predicting brain invasion (area under the curve values were 0.905 in the training set and 0.895 in the test set).ConclusionsThis study provided a clinically available and promising approach to predict brain invasion in WHO grade II meningiomas by using preoperative MRI.

Postoperative progression of intracranial grade II–III solitary fibrous tumor/hemangiopericytoma: predictive value of preoperative magnetic resonance imaging semantic features

2021 ◽  
pp. 028418512110667
Author(s):  
Shenglin Li ◽  
Bin Zhang ◽  
Peng Zhang ◽  
Caiqiang Xue ◽  
Juan Deng ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Survival Analysis ◽  
Postoperative Radiotherapy ◽  
Tumor Grade ◽  
Semantic Features ◽  
Resonance Imaging ◽  
Brain Interface ◽  
Grade Ii ◽  
Preoperative Magnetic Resonance ◽  
Fibrous Tumor

Background Preoperative prediction of postoperative tumor progression of intracranial grade II–III hemangiopericytoma is the basis for clinical treatment decisions. Purpose To use preoperative magnetic resonance imaging (MRI) semantic features for predicting postoperative tumor progression in patients with intracranial grade II–III solitary fibrous tumor/hemangiopericytoma (SFT/HPC). Material and Methods We retrospectively analyzed the preoperative MRI data of 42 patients with intracranial grade II–III SFT/HPC, as confirmed by surgical resection and pathology in our hospital from October 2010 to October 2017, who were followed up for evaluation of recurrence, metastasis, or death. We applied strict inclusion and exclusion criteria and finally included 37 patients. The follow-up time was in the range of 8–120 months (mean = 57.1 months). Results Single-factor survival analysis revealed that tumor grade (log-rank, P = 0.024), broad-based tumor attachment to the dura mater (log-rank, P = 0.009), a blurred tumor-brain interface (log-rank, P = 0.008), skull invasion (log-rank, P = 0.002), and the absence of postoperative radiotherapy (log-rank, P = 0.006) predicted postoperative intracranial SFT/HPC progression. Multivariate survival analysis revealed that tumor grade ( P = 0.009; hazard ratio [HR] = 11.42; 95% confidence interval [CI] = 1.832–71.150), skull invasion ( P = 0.014; HR = 5.72; 95% CI = 1.421–22.984), and the absence of postoperative radiotherapy ( P = 0.001; HR = 0.05; 95% CI = 0.008–0.315) were independent predictors of postoperative intracranial SFT/HPC progression. Conclusion Broad-based tumor attachment to the dura mater, skull invasion, and blurring of the tumor–brain interface can predict postoperative intracranial SFT/HPC progression.

scholarly journals Predicting meningioma recurrence using spectrochemical analysis of tissues and subsequent predictive computational algorithms

2019 ◽  
Vol 21 (Supplement_4) ◽  
pp. iv5-iv5
Author(s):  
Taha Lilo ◽  
Camilo Morais ◽  
Kate Ashton ◽  
Ana Pardilho ◽  
Timothy Dawson ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Tissue Bank ◽  
Spectrochemical Analysis ◽  
Classification Algorithms ◽  
Computational Algorithms ◽  
Who Grade ◽  
Grade Ii ◽  
Meningioma Recurrence ◽  
Who Grade Ii Meningioma

Abstract Introduction Meningioma recurrence remains a clinical dilemma. This has a significant clinical and huge financial implication. Hence, the search for predictors for meningioma recurrence has become an increasingly urgent research topic in recent years. Objective Using spectrochemical analytical methods such as attenuated total reflection Fourier-transform infrared (ATR-FTIR) and Raman spectroscopy, our primary objective is to compare the spectral fingerprint signature of WHO grade I meningioma vs. WHO grade I meningioma that recurred. Secondary objectives compare WHO grade I meningioma vs. WHO grade II meningioma and WHO grade II meningioma vs. WHO grade I meningioma recurrence. Materials and Methods Our selection criteria included convexity meningioma only restricted to Simpson grade I & II only and WHO grade I & grade II only with a minimum 5 years follow up. We obtained tissue from tumour blocks retrieved from the tissue bank. These were sectioned onto slides and de-waxed prior to ATR-FTIR or Raman spectrochemical analysis. Derived spectral datasets were then explored for discriminating features using computational algorithms in the IRootLab toolbox within MATLAB; this allowed for classification and feature extraction. Results After analysing the data using various classification algorithms with cross-validation to avoid over-fitting of the spectral data, we can readily and blindly segregate those meningioma samples that recurred from those that did not recur in the follow-up timeframe. The forward feature extraction classification algorithms generated results that exhibited excellent sensitivity and specificity, especially with spectra obtained following ATR-FTIR spectroscopy. Our secondary objectives remain to be fully developed.

scholarly journals Overall Survival Benefit Associated with Adjuvant Radiotherapy in Who Grade II Meningioma

2017 ◽  
Vol 78 (S 01) ◽  
pp. S1-S156
Author(s):  
Chenyang Wang ◽  
Tania Kaprealian ◽  
John Suh ◽  
Charlotte Kubicky ◽  
Jeremy Ciporen ◽  
...  
Keyword(s):  
Overall Survival ◽  
Adjuvant Radiotherapy ◽  
Survival Benefit ◽  
Who Grade ◽  
Grade Ii ◽  
Overall Survival Benefit ◽  
Who Grade Ii Meningioma

scholarly journals Glioblastoma multiforme as a secondary malignancy following stereotactic radiosurgery of a meningioma: case report

2019 ◽  
Vol 46 (6) ◽  
pp. E11 ◽  
Author(s):  
Jason J. Labuschagne ◽  
Dinoshan Chetty
Keyword(s):  
Glioblastoma Multiforme ◽  
Stereotactic Radiosurgery ◽  
Single Case ◽  
Case Reports ◽  
Rare Complication ◽  
Secondary Malignancy ◽  
Surgical Removal ◽  
Who Grade ◽  
Grade Ii ◽  
Who Grade Ii Meningioma

The documentation and exact incidence of stereotactic radiosurgery (SRS)–induced neoplasia is not well understood, with most literature restricted to single case reports and single-center retrospective reviews. The authors present a rare case of radiosurgery-induced glioblastoma multiforme (GBM) following radiosurgical treatment of a meningioma. A 74-year-old patient with a sporadic meningioma underwent radiosurgery following surgical removal of a WHO grade II meningioma. Eighteen months later she presented with seizures, and MRI revealed an intraaxial tumor, which was resected and proven to be a glioblastoma. As far as the authors are aware, this case represents the third case of GBM following SRS for a meningioma. This report serves to increase the awareness of this possible complication following SRS. The possibility of this rare complication should be explained to patients when obtaining their consent for radiosurgery.

Correlation between magnetic resonance imaging grading and pathological grading in meningioma

2014 ◽  
Vol 121 (5) ◽  
pp. 1201-1208 ◽  
Author(s):  
Bon-Jour Lin ◽  
Kuan-Nein Chou ◽  
Hung-Wen Kao ◽  
Chin Lin ◽  
Wen-Chiuan Tsai ◽  
...  
Keyword(s):  
Surgical Planning ◽  
Therapeutic Strategy ◽  
Multivariate Logistic Regression Analysis ◽  
Who Grade ◽  
Histopathological Grade ◽  
Intracranial Meningiomas ◽  
Mri Features ◽  
Brain Interface ◽  
Grade Ii ◽  
Age Range

Object This study investigated the specific preoperative MRI features of patients with intracranial meningiomas that correlate with pathological grade and provide appropriate preoperative planning. Methods From 2006 to 2012, 120 patients (36 men and 84 women, age range 20–89 years) with newly diagnosed symptomatic intracranial meningiomas undergoing resection were retrospectively analyzed in terms of radiological features of preoperative MRI. There were 90 WHO Grade I and 30 WHO Grade II or III meningiomas. The relationships between MRI features and WHO histopathological grade were analyzed and scored quantitatively. Results According to the results of multivariate logistic regression analysis, age ≥ 75 years, indistinct tumorbrain interface, positive capsular enhancement, and heterogeneous tumor enhancement were identified factors in the prediction of advanced histopathological grade. The prediction model was quantified as a scoring scale: 2 × (age) + 5 × (tumor-brain interface) + 3 × (capsular enhancement) + 2 × (tumor enhancement). The calculated score correlated positively with the probability of high-grade meningioma. Conclusions This scoring approach may be useful for clinicians in determining therapeutic strategy and in surgical planning for patients with intracranial meningiomas.

WHO grade II meningioma: a retrospective study for outcome and prognostic factor assessment

2016 ◽  
Vol 129 (2) ◽  
pp. 337-345 ◽  
Author(s):  
Charles Champeaux ◽  
Elena Wilson ◽  
Colin Shieff ◽  
Akbar Ali Khan ◽  
Lewis Thorne
Keyword(s):  
Retrospective Study ◽  
Prognostic Factor ◽  
Who Grade ◽  
Grade Ii ◽  
Who Grade Ii Meningioma

Intraorbital Meningiomas: A Pathologic Review Using Current World Health Organization Criteria

2010 ◽  
Vol 134 (5) ◽  
pp. 766-770 ◽  
Author(s):  
Deepali Jain ◽  
Katayoon B. Ebrahimi ◽  
Neil R. Miller ◽  
Charles G. Eberhart
Keyword(s):  
Optic Nerve ◽  
World Health Organization ◽  
Neurofibromatosis Type ◽  
Clinical Findings ◽  
World Health ◽  
Who Grade ◽  
Brain Invasion ◽  
Adjacent Structures ◽  
Grade Ii ◽  
Health Organization

Abstract Context.—Meningiomas represent approximately 4% of all intraorbital tumors and can arise from the optic nerve or extend into the orbit from adjacent structures. Objective.—To examine a cohort of intraorbital meningiomas and use the current World Health Organization (WHO) scheme to assess the effect of changes to the classification of tumors at this site. Design.—The histopathology and clinical findings of intraorbital meningiomas resected between 1968 and 2008 at our institution were reviewed according to the WHO 2007 classification scheme. Results.—A total of 51 intraorbital meningiomas were reviewed. The mean age at presentation was 45 years, but 5 tumors arose in children. Two patients were known to have neurofibromatosis type 2, and 1 had inherited retinoblastoma. Orbital meningiomas were more frequently encountered in women (30 cases) than in men (21 cases). In 21 patients, the tumor was associated with the optic nerve. The most common (25 of 51 tumors; 49%) histopathologic subtype was meningothelial. Most (47 of 51; 92%) of the tumors were WHO grade I. Four tumors (8%) were WHO grade II, with 4 or more mitotic figures per 10 high-power fields, brain invasion, chordoid histology, or a combination of these features. Conclusions.—Intraorbital meningiomas were most frequently of the meningothelial or transitional subtypes and were WHO grade I. One relatively common intracranial subtype, fibrous meningioma, was not encountered. The percentage of WHO grade II tumors in the orbit (8%) is similar to that reported for intracranial tumors using the current grading scheme.

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