Sorting the mixed bag: Tumor grade reassignment of Nottingham Grade II patients using pattern classification techniques.

2015 ◽  
Vol 33 (15_suppl) ◽  
pp. e22165-e22165
Author(s):  
Sergey Klimov ◽  
Hokyung Shin ◽  
Jun Xia ◽  
Guilherme Henrique Cantuaria ◽  
Xiaoxian Li ◽  
...  
Keyword(s):  
Pattern Classification ◽  
Tumor Grade ◽  
Classification Techniques ◽  
Grade Ii ◽  
Nottingham Grade

Prediction of oligodendroglial tumor subtype and grade using perfusion weighted magnetic resonance imaging

2007 ◽  
Vol 107 (3) ◽  
pp. 600-609 ◽  
Author(s):  
Robert G. Whitmore ◽  
Jaroslaw Krejza ◽  
Gurpreet S. Kapoor ◽  
Jason Huse ◽  
John H. Woo ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Mr Imaging ◽  
Blood Volume ◽  
Tumor Grade ◽  
Grade Ii ◽  
Cytogenetic Profile ◽  
Group 2 ◽  
Oligodendroglial Neoplasms ◽  
Grade Iii ◽  
Group 1

Object Treatment of patients with oligodendrogliomas relies on histopathological grade and characteristic cytogenetic deletions of 1p and 19q, shown to predict radio- and chemosensitivity and prolonged survival. Perfusion weighted magnetic resonance (MR) imaging allows for noninvasive determination of relative tumor blood volume (rTBV) and has been used to predict the grade of astrocytic neoplasms. The aim of this study was to use perfusion weighted MR imaging to predict tumor grade and cytogenetic profile in oligodendroglial neoplasms. Methods Thirty patients with oligodendroglial neoplasms who underwent preoperative perfusion MR imaging were retrospectively identified. Tumors were classified by histopathological grade and stratified into two cytogenetic groups: 1p or 1p and 19q loss of heterozygosity (LOH) (Group 1), and 19q LOH only on intact alleles (Group 2). Tumor blood volume was calculated in relation to contralateral white matter. Multivariate logistic regression analysis was used to develop predictive models of cytogenetic profile and tumor grade. Results In World Health Organization Grade II neoplasms, the rTBV was significantly greater (p < 0.05) in Group 1 (mean 2.44, range 0.96–3.28; seven patients) compared with Group 2 (mean 1.69, range 1.27–2.08; seven patients). In Grade III neoplasms, the differences between Group 1 (mean 3.38, range 1.59–6.26; four patients) and Group 2 (mean 2.83, range 1.81–3.76; 12 patients) were not significant. The rTBV was significantly greater (p < 0.05) in Grade III neoplasms (mean 2.97, range 1.59–6.26; 16 patients) compared with Grade II neoplasms (mean 2.07, range 0.96–3.28; 14 patients). The models integrating rTBV with cytogenetic profile and grade showed prediction accuracies of 68 and 73%, respectively. Conclusions Oligodendroglial classification models derived from advanced imaging will improve the accuracy of tumor grading, provide prognostic information, and have potential to influence treatment decisions.

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 Factors Associated With Dysfunction of Glymphatic System in Patients With Glioma

2021 ◽  
Vol 11 ◽  
Author(s):  
Cheng Hong Toh ◽  
Tiing Yee Siow
Keyword(s):  
Brain Edema ◽  
Diffusion Tensor ◽  
Tumor Grade ◽  
Wild Type ◽  
Mutation Status ◽  
Factors Associated ◽  
Edema Volume ◽  
Peritumoral Brain Edema ◽  
Grade Ii ◽  
The Alps

ObjectivesRodent experiments have provided some insights into the changes of glymphatic function associated with glioma growth. The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method offers an opportunity for the noninvasive investigation of the glymphatic system in patients with glioma. We aimed to investigate the factors associated with glymphatic function changes in patients with glioma.Materials and MethodsA total of 201 glioma patients (mean age = 47.4 years, 116 men; 86 grade II, 52 grade III, and 63 grade IV) who had preoperative diffusion tensor imaging for calculation of the ALPS index were retrospectively included. Information collected from each patient included sex, age, tumor grade, isocitrate dehydrogenase 1 (IDH1) mutation status, peritumoral brain edema volume, tumor volume, and ALPS index. Group differences in the ALPS index according to sex, tumor grade, and IDH1 mutation status were assessed using analysis of covariance with age adjustment. Linear regression analyses were performed to identify the factors associated with the ALPS index.ResultsGroup comparisons revealed that the ALPS index of grade II/III gliomas was significantly higher than that of grade IV gliomas (p &lt; 0.001). The ALPS index of IDH1 mutant gliomas was significantly higher than that of IDH1 wild-type gliomas (p &lt; 0.001). On multivariable linear regression analysis, IDH1 mutation (β = 0.308, p &lt; 0.001) and peritumoral brain edema volume (β = −0.353, p &lt; 0.001) were the two independent factors associated with the ALPS index.ConclusionIDH1 wild-type gliomas and gliomas with larger peritumoral brain edema volumes were associated with a lower ALPS index, which may reflect impaired glymphatic function.

scholarly journals Clinicopathologic analysis of microscopic tumor extension in glioma for external beam radiotherapy planning

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Shulun Nie ◽  
Yufang Zhu ◽  
Jia Yang ◽  
Tao Xin ◽  
Song Xue ◽  
...  
Keyword(s):  
Dna Methyltransferase ◽  
External Beam Radiotherapy ◽  
High Grade Glioma ◽  
Tumor Grade ◽  
Radiotherapy Planning ◽  
Low Grade ◽  
Clinical Trial Registry ◽  
Tumor Extension ◽  
Grade Ii ◽  
Grade Iii

Abstract Background There is no consensus regarding the clinical target volume (CTV) margins in radiotherapy for glioma. In this study, we aimed to perform a complete macropathologic analysis examining microscopic tumor extension (ME) to more accurately define the CTV in glioma. Methods Thirty-eight supra-total resection specimens of glioma patients were examined on histologic sections. The ME distance, defined as the maximum linear distance from the tumor border to the invasive tumor cells, was measured at each section. We defined the CTV based on the relationships between ME distance and clinicopathologic features. Results Between February 2016 and July 2020, a total of 814 slides were examined, corresponding to 162 slides for low-grade glioma (LGG) and 652 slides for high-grade glioma (HGG). The ME value was 0.69 ± 0.43 cm for LGG and 1.29 ± 0.54 cm for HGG (P < 0.001). After multivariate analysis, tumor grade, O6-methylguanine-DNA-methyltransferase promoter methylated status (MGMTm), isocitrate dehydrogenase wild-type status (IDHwt), and 1p/19q non-co-deleted status (non-codel) were positively correlated with ME distance (all P < 0.05). We defined the CTV of glioma based on tumor grade. To take into account approximately 95% of the ME, a margin of 1.00 cm, 1.50 cm, and 2.00 cm were chosen for grade II, grade III, and grade IV glioma, respectively. Paired analysis of molecularly defined patients confirmed that tumors that had all three molecular alterations (i.e., MGMTm/IDHwt/non-codel) were the most aggressive subgroups (all P < 0.05). For these patients, the margin could be up to 1.50 cm, 2.00 cm, and 2.50 cm for grade II, grade III, and grade IV glioma, respectively, to cover the subclinical lesions in 95% of cases. Conclusions The ME was different between the grades of gliomas. It may be reasonable to recommend 1.00 cm, 1.50 cm, and 2.00 cm CTV margins for grade II, grade III, and grade IV glioma, respectively. Considering the highly aggressive nature of MGMTm/IDHwt/non-codel tumors, for these patients, the margin could be further expanded by 0.5 cm. These recommendations would encompass microscopic disease extension in 95% of cases. Trial registration The trial was registered with Chinese Clinical Trial Registry (ChiCTR2100049376).

scholarly journals Synopsis of supervised and unsupervised pattern classification techniques applied to volcanic tremor data at Mt Etna, Italy

2009 ◽  
Vol 178 (2) ◽  
pp. 1132-1144 ◽  
Author(s):  
H. Langer ◽  
S. Falsaperla ◽  
M. Masotti ◽  
R. Campanini ◽  
S. Spampinato ◽  
...  
Keyword(s):  
Pattern Classification ◽  
Volcanic Tremor ◽  
Classification Techniques ◽  
Mt Etna

scholarly journals Primary Giant Cell Tumor of the Axis: a Case Report

2021 ◽  
Author(s):  
Peng Wang ◽  
Chunhao Song ◽  
Cong Chen ◽  
Bo Liu ◽  
Jun Jia ◽  
...  
Keyword(s):  
Giant Cell Tumor ◽  
Giant Cell ◽  
Tumor Grade ◽  
Cell Tumor ◽  
The Body ◽  
Rare Type ◽  
Histologic Evaluation ◽  
Giant Tumor ◽  
X Ray Computed ◽  
Grade Ii

Abstract Background: Primary giant cell tumor of the axis is a rare. The authors reported a case of a primary giant cell tumor of the axis revealed by cervical pain, and discussed the diagnosis and treatment of giant cell tumor.Case presentation: The patient presented to our clinic with neck pain and unstable gait. X-ray, computed tomography and magnetic resonance imaging showed osteolysis of the body and vertebral arch of the axis. Histologic evaluation gave a conclusion of a giant tumor, grade II. Spondylectomy of the axis was performed by the transoral approach. The local recurrence of the tumor was found 3 months later and the patient refused further therapy.Conclusion: Primary giant cell tumor of the axis is a rare type tumor with poor prognosis. Definitive diagnosis should be based on histopathological morphology and surgical treatment should be performed as soon as possible.

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