scholarly journals Value of diffusion-weighted magnetic resonance imaging in predicting World Health Organization grade in G1/G2 pancreatic neuroendocrine tumors

2017 ◽  
Vol 13 (6) ◽  
pp. 4141-4146 ◽  
Author(s):  
Chuangen Guo ◽  
Xiaoling Zhuge ◽  
Xiao Chen ◽  
Zhongqiu Wang ◽  
Wenbo Xiao ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
World Health Organization ◽  
Neuroendocrine Tumors ◽  
World Health ◽  
Pancreatic Neuroendocrine Tumors ◽  
Resonance Imaging ◽  
Diffusion Weighted ◽  
Weighted Magnetic Resonance Imaging ◽  
Health Organization

Prognostic value of initial magnetic resonance imaging growth rates for World Health Organization grade II gliomas

2006 ◽  
Vol 60 (3) ◽  
pp. 380-383 ◽  
Author(s):  
Johan Pallud ◽  
Emmanuel Mandonnet ◽  
Hugues Duffau ◽  
Michèle Kujas ◽  
Rémy Guillevin ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
World Health Organization ◽  
Growth Rates ◽  
Prognostic Value ◽  
World Health ◽  
Resonance Imaging ◽  
Grade Ii ◽  
Health Organization

scholarly journals GAMBARAN KLINIKOPATOLOGIK ASTROSITOMA HIGH GRADE

Medicinus ◽  
2018 ◽  
Vol 4 (9) ◽  
Author(s):  
Erna Kristiani
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
World Health Organization ◽  
Giant Cell ◽  
Granular Cell ◽  
Small Cell ◽  
World Health ◽  
High Grade ◽  
Resonance Imaging ◽  
Health Organization

<p>Astrositoma merupakan glioma tersering. Tumor ini bisa mengenai  dewasa dan anak-anak.<em>World Health Organization</em> (WHO) mengelompokkan astrositoma menjadi 4 <em>grade</em> berdasarkan karakteristik histologik. Astrositoma<em> high grade</em> terdiri atas astrositoma anaplastik (<em>grade</em> III) dan glioblastoma (<em>grade</em> IV).</p><p>Data Departemen Patologi Anatomik Rumah Sakit Cipto Mangunkusumo (RSCM) tahun 2001-2010 melaporkan kejadian astrositoma sebanyak 179 kasus atau sekitar 20% dari seluruh tumor intrakranial, astrositoma anaplastik ditemukan sebanyak 12 kasus, dan  glioblastoma 42 kasus.</p><p>Seperti pada tumor otak lain, astrositoma <em>high grade</em> mengakibatkan gejala dan tanda gangguan neurologik fokal dan umum. Pemeriksaan radiologik pilihan adalah dengan <em>Magnetic Resonance Imaging</em> (MRI). Astrositoma anaplastik memberikan gambaran <em>hypointense</em> pada T1 dan <em>hyperintense</em> pada T2 dengan efek massa yang bervariasi. Karakteristik glioblastoma pada MRI berupa lesi iregular menyangat kontras di sekeliling nekrosis sentral (<em>ring enhancement</em>) dan edema vasogenik luas di sekitar tumor.</p><p>Astrositoma anaplastik secara histopatologik dicirikan dengan atipia inti, peningkatan selularitas, serta aktivitas proliferasi yang nyata. Glioblastoma secara histopatologik serupa dengan astrositoma anaplastik, disertai adanya proliferasi vaskular dan/atau nekrosis. Astrositoma anaplastik dan khususnya glioblastoma mempunyai variasi gambaran histologik yang beragam, antara lain varian <em>small cell, granular cell, giant cell</em>, dan gliosarcoma.</p>

scholarly journals MRI predictors for brain invasion in meningiomas

2020 ◽  
pp. 197140092095341
Author(s):  
Thomas Ong ◽  
Aditya Bharatha ◽  
Reema Alsufayan ◽  
Sunit Das ◽  
Amy Wei Lin
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
World Health Organization ◽  
World Health ◽  
Resonance Imaging ◽  
Pial Arteries ◽  
Brain Invasion ◽  
Rare Finding ◽  
Imaging Characteristics ◽  
Health Organization

Background and purpose In the 2016 revision of the World Health Organization classification of central nervous system tumours, brain invasion was added as an independent histological criterion for the diagnosis of a World Health Organization grade II atypical meningioma. The aim of this study was to assess whether magnetic resonance imaging characteristics can predict brain invasion for meningiomas. Materials and methods We conducted a retrospective review of all meningiomas resected at our institution between 2005 and 2016 which had preoperative magnetic resonance imaging and included brain tissue within the pathology specimen. One hundred meningiomas were included in the study, 60 of which had histopathological brain invasion, 40 of which did not. Magnetic resonance imaging characteristics of tumours were evaluated for potential predictors of brain invasion. Tumour location, size, perilesional oedema, contour, cerebrospinal fluid cleft, peritumoral cyst, dural venous sinus invasion, bone invasion, hyperostosis and the presence of enlarged pial arteries and veins were evaluated. Data were analysed using conventional chi-square, Fisher’s exact test and logistic regression. Results The volume of peritumoral oedema was significantly higher in the brain-invasive meningioma group compared to the non-brain-invasive group. The presence of a complete cleft was a rare finding that was only found in non-brain-invasive meningiomas. The presence of enlarged pial feeding arteries was a rare finding that was only found in brain-invasive meningiomas. Conclusions An increased volume of perilesional oedema is associated with the likelihood of brain invasion for meningiomas.

scholarly journals Functional Magnetic Resonance Imaging for Preoperative Planning in Brain Tumour Surgery

2016 ◽  
Vol 44 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Jonathan C. Lau ◽  
Suzanne E. Kosteniuk ◽  
Frank Bihari ◽  
Joseph F. Megyesi
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
World Health Organization ◽  
Preoperative Evaluation ◽  
World Health ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
Clinical Fmri ◽  
Health Organization

AbstractBackground: Functional magnetic resonance imaging (fMRI) is being increasingly used for the preoperative evaluation of patients with brain tumours. Methods: The study is a retrospective chart review investigating the use of clinical fMRI from 2002 through 2013 in the preoperative evaluation of brain tumour patients. Baseline demographic and clinical data were collected. The specific fMRI protocols used for each patient were recorded. Results: Sixty patients were identified over the 12-year period. The tumour types most commonly investigated were high-grade glioma (World Health Organization grade III or IV), low-grade glioma (World Health Organization grade II), and meningioma. Most common presenting symptoms were seizures (69.6%), language deficits (23.2%), and headache (19.6%). There was a predominance of left hemispheric lesions investigated with fMRI (76.8% vs 23.2% for right). The most commonly involved lobes were frontal (64.3%), temporal (33.9%), parietal (21.4%), and insular (7.1%). The most common fMRI paradigms were language (83.9%), motor (75.0%), sensory (16.1%), and memory (10.7%). The majority of patients ultimately underwent a craniotomy (75.0%), whereas smaller groups underwent stereotactic biopsy (8.9%) and nonsurgical management (16.1%). Time from request for fMRI to actual fMRI acquisition was 3.1±2.3 weeks. Time from fMRI acquisition to intervention was 4.9±5.5 weeks. Conclusions: We have characterized patient demographics in a retrospective single-surgeon cohort undergoing preoperative clinical fMRI at a Canadian centre. Our experience suggests an acceptable wait time from scan request to scan completion/analysis and from scan to intervention.

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