scholarly journals Multimodal MR Imaging (Diffusion, Perfusion, and Spectroscopy): Is It Possible to Distinguish Oligodendroglial Tumor Grade and 1p/19q Codeletion in the Pretherapeutic Diagnosis?

2012 ◽  
Vol 34 (7) ◽  
pp. 1326-1333 ◽  
Author(s):  
S. Fellah ◽  
D. Caudal ◽  
A.M. De Paula ◽  
P. Dory-Lautrec ◽  
D. Figarella-Branger ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Tumor Grade ◽  
Oligodendroglial Tumor

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.

scholarly journals Intracranial Gliomas: Association between MRI Features and Tumor Grade

2019 ◽  
Vol 8 (2) ◽  
pp. 93-99
Author(s):  
Md Rokibul Islam ◽  
KM Tarikul Islam ◽  
Moshiur Rahman ◽  
Mohammad Hossain ◽  
Raziul Haque ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Contrast Enhancement ◽  
Predictive Value ◽  
Tumor Grade ◽  
Mass Effect ◽  
Low Grade ◽  
Imaging Features ◽  
Peritumoral Edema ◽  
Cross Sectional ◽  
Mri Features

Purpose: Intracranial gliomas are not uncommon in our country. The therapeutic management and prognosis in patients with gliomas depend on the reliable distinction between high and low-grade gliomas. The purpose of the present study was to determine whether any association exists between various individual MR imaging features and histopathologically determined tumor grade of intracranial gliomas. Our target was to explore whether MRI could enable correct determination the grading of gliomas which will help early diagnosis, staging, grade assessing, determining the appropriate treatment, preoperative planning for surgical resection and post operative management plan. Materials and Methods: It was a cross sectional type of observational study. This study was conducted on 44 cases of intracranial gliomas. Only patients having histopathologically proven intracranial gliomas who underwent surgery or stereotactic biopsy were considered as a study population. Results: The present study revealed that there is significant association between the MR imaging features and histopathological grading of intracranial gliomas. Contrast enhancement in MRI showed most significant (p<0.001). Other significant MR imaging features were peritumoral edema (p=0.001), tumor border definition (p=0.001), necrosis or cystic change of tumor (p=0.001) and mass effect (p=0.003). In this study preoperative MRI diagnosis was correct in 39 patients with accuracy of 88.6%. Sensitivity, specificity, positive predictive value and negative predictive value of MRI in detecting tumor grade were 86.4%, 90.9%, 90.5% and 87% respectively. Conclusion: MRI is sensitive, specific and accurate in assessing the grade of gliomas. Contrast enhancement is the most important predictor. Peritumoral edema, tumor border definition, mass effect and necrosis/cystic changes of tumor are also important indicators of tumor grade. Bang. J Neurosurgery 2019; 8(2): 93-99

scholarly journals Distinct imaging patterns of pseudoprogression in glioma patients following proton versus photon radiation therapy

2021 ◽  
Author(s):  
Reed Ritterbusch ◽  
Lia M. Halasz ◽  
Jerome J. Graber
Keyword(s):  
Radiation Therapy ◽  
Mr Imaging ◽  
Tumor Progression ◽  
Clinical Symptoms ◽  
Molecular Subtype ◽  
Tumor Grade ◽  
Photon Radiation ◽  
Low Grade ◽  
Mean Time

Abstract Purpose Criteria by the Radiologic Assessment in Neuro-Oncology (RANO) group outline the diagnosis of pseudoprogression (Ps) after photon therapy for gliomas based on timing and location. We noted that patients receiving proton therapy manifested radiographic changes that appear different than Ps after photon therapy, which could be interpreted as tumor progression. In this study, we retrospectively reviewed MR imaging after proton or photon radiation for gliomas. We propose criteria to characterize proton pseudoprogression (ProPs) as distinct from Ps seen after photons. Methods Post-treatment MR imaging, clinical and pathological data of low grade glioma patients were reviewed. Overall, 57 patients receiving protons were reviewed for the presence of ProPs, and 43 patients receiving photons were reviewed for any equivalent imaging changes. Data collected included the location and timing of the new enhancement, tumor grade, molecular subtype, chemotherapy received, and clinical symptoms. Results Fourteen patients (24.6%) had new enhancement following radiation therapy that was unique to treatment with protons. The mean time to development of the ProPs was 15.4 months (7–27 months). We established the following criteria to characterize ProPs: located at the distal end of the proton beam; resolves without tumor-directed therapy; and subjectively multifocal, patchy, and small (< 1 cm). In the group receiving photons, none had changes that met our criteria for ProPs. Conclusion Patients who receive protons have unique imaging changes after radiation therapy. ProPs could be mistaken for tumor progression, but typically resolves on follow up. Further studies are needed to understand the radiobiology and pathophysiology underlying these imaging changes.

scholarly journals Perfusion MR imaging at 3-Tesla: Can it predict tumor grade and histologic necrosis rate of musculoskeletal sarcoma?

2018 ◽  
Vol 99 (7-8) ◽  
pp. 473-481 ◽  
Author(s):  
P.A. Gondim Teixeira ◽  
A. Renaud ◽  
S. Aubert ◽  
M. Ben Haj Amor ◽  
Y.-M. Robin ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Tumor Grade ◽  
3 Tesla ◽  
Musculoskeletal Sarcoma ◽  
Necrosis Rate ◽  
Perfusion Mr ◽  
Perfusion Mr Imaging

scholarly journals Ferumoxide-enhanced MR imaging of hepatocellular carcinoma: Correlation with histologic tumor grade and tumor vascularity

2003 ◽  
Vol 19 (1) ◽  
pp. 76-81 ◽  
Author(s):  
Hiroki Kato ◽  
Masayuki Kanematsu ◽  
Hiroshi Kondo ◽  
Satoshi Goshima ◽  
Masayuki Matsuo ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Mr Imaging ◽  
Tumor Grade ◽  
Tumor Vascularity

scholarly journals Prediction of tumor grade and lymphovascular space invasion in endometrial adenocarcinoma with MR imaging-based radiomic analysis

2020 ◽  
Vol 101 (6) ◽  
pp. 401-411
Author(s):  
M. Bereby-Kahane ◽  
R. Dautry ◽  
E. Matzner-Lober ◽  
F. Cornelis ◽  
D. Sebbag-Sfez ◽  
...  
Keyword(s):  
Mr Imaging ◽  
Endometrial Adenocarcinoma ◽  
Tumor Grade ◽  
Lymphovascular Space Invasion
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