What’s the clinical significance of adding diffusion and perfusion MRI in the differentiation of glioblastoma multiforme and solitary brain metastasis?

Mourad, Amr F.; Mohammad, Hosam El-din G.; Sayed, Mona M.; Ragae, Mohamed A.

doi:10.1016/j.ejrnm.2017.04.002

Cited by 5 publications

(6 citation statements)

References 26 publications

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Section: Methodsmentioning

confidence: 99%

“…Any enhancing tumor regions seen in postcontrast T 1 WI MPRAGE images were inherently included in the tumor VOI since enhancement was not seen outside hyperintense FLAIR signal. A VOI for pWM was defined as a 1 cm wide band around the lesion VOI, 29,30 limited to the WM. cNAWM regions were delineated in patients with LGGs and NC using a semiautomatic segmentation approach using T 1 WI and FLAIR images.…”

Section: Image Processingmentioning

confidence: 99%

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Value of diffusion kurtosis imaging in assessing low‐grade gliomas

Goryawala

Heros

Komotar

et al. 2018

Magnetic Resonance Imaging

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Section: Methodsmentioning

confidence: 99%

Section: Image Processingmentioning

confidence: 99%

Value of diffusion kurtosis imaging in assessing low‐grade gliomas

Goryawala

Heros

Komotar

et al. 2018

Magnetic Resonance Imaging

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“…Necrosis, cysts, hemorrhage, and multiple oval flow voids from neovascularity are also the other characteristics of GBM. Multiple studies suggested an inverse correlation between apparent diffusion coefficient (ADC) volume and glioma grade and most GBM tumors do not restrict on DWI (Mourad, Mohammad, Sayed, & Ragae, ; Yamashita et al, ).…”

Section: Resultsmentioning

confidence: 99%

“…High signal intensities at T2W sequences are produced by the tumor itself and peripheral vasogenic edema; however, the tumor invades microscopically to adjacent white matter beyond its borders; thus, the zone of a surrounding edema must be considered as tumor infiltration (infiltrative edema). Necrosis, cysts, hemorrhage, and multiple oval flow voids from neovascularity are also (Mourad, Mohammad, Sayed, & Ragae, 2017;Yamashita et al, 2016).…”

Section: Gbm Induced Rat Model Mri Analysis In Comparison With Autochthonous Human Gbm Mri Analysismentioning

confidence: 99%

Neuropathological and genomic characterization of glioblastoma‐induced rat model: How similar is it to humans for targeted therapy?

Sharifzad

Yasavoli‐Sharahi

Mardpour

et al. 2019

Journal Cellular Physiology

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Glioblastoma multiforme (GBM) is a unique aggressive tumor and mostly develops in the brain, while rarely spreading out of the central nervous system. It is associated with a high mortality rate; despite tremendous efforts having been made for effective therapy, tumor recurrence occurs with high prevalence. To elucidate the mechanisms that lead to new drug discovery, animal models of tumor progression is one of the oldest and most beneficial approaches to not only investigating the aggressive nature of the tumor, but also improving preclinical research. It is also a useful tool for predicting novel therapies' effectiveness as well as side effects. However, there are concerns that must be considered, such as the heterogeneity of tumor, biological properties, pharma dynamic, and anatomic shapes of the models, which have to be similar to humans as much as possible. Although several methods and various species have been used for this approach, the real recapitulation of the human tumor has

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“…Low grade cancers have lower cellularity and higher ADC values than high grade tumors with high cellularity and low ADC values. 9 Water-soluble brain metabolites are assessed noninvasively using MRS based on their precession frequency. Creatinine (Cr), N-acetyl aspartate (NAA), choline (Cho), lactate, lipids, alanine, glutamine, glutamate, 2-hydroxyglutarate, citrate, and myoinositol are some of the metabolites that are routinely measured on MRS. MRS has a 92 percent specificity for distinguishing neoplastic from non-neoplastic tissue.…”

Section: Original Articlementioning

confidence: 99%

Diagnostic Accuracy and Imaging Appearance Glioblastoma Multiforme on MRI and MRS

Naz

Chandani

Fatima³

et al. 2022

Ann Pak Inst Med Sci

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Objective: To determine the diagnostic accuracy of contrast-enhanced MRI with conventional sequences and MR Spectroscopy in the diagnosis of Glioblastoma Multiforme, taking histopathology as the gold standard. We also determined the MR imaging appearance of GBM on conventional sequences. Methodology: This descriptive cross-sectional study was conducted at a tertiary care hospital from 19th August 2019 to 18th August 2020 on 165 adult patients suspected of having an intracranial space-occupying lesion. Informed consent was sought and a questionnaire was filled out for patient data, MRI imaging findings, and MRS results. Histopathology results were subsequently followed and recorded. The diagnostic accuracy of contrast enhanced MRI brain as well as MRS was determined in terms of sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy, taking histopathology as gold standard. Results: In a total of 165 patients selected for the study, the mean age was 56.34±10.04 years with a male to female ratio of 1:1 and the frontal lobe being the most common location (34.5%). In histopathological positive GBM cases, margins of the mass were ill-defined in 55.1%, intralesional low ADC values were observed in 63.3%, signal drop out on susceptibility imaging in 42.8%, and MRS with raised choline and reduced NAA in 75.5%. MRI had a sensitivity of 81.6% and specificity of 94.8%, and MRS has a sensitivity of 75.5% and a specificity of 100%. Conclusion: Ill-defined margins, necrosis, and hemorrhage are important MRI features suggesting GBM. MRS combined with conventional MR sequences has high sensitivity and specificity in its diagnosis.

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What’s the clinical significance of adding diffusion and perfusion MRI in the differentiation of glioblastoma multiforme and solitary brain metastasis?

Cited by 5 publications

References 26 publications

Value of diffusion kurtosis imaging in assessing low‐grade gliomas

Value of diffusion kurtosis imaging in assessing low‐grade gliomas

Neuropathological and genomic characterization of glioblastoma‐induced rat model: How similar is it to humans for targeted therapy?

Diagnostic Accuracy and Imaging Appearance Glioblastoma Multiforme on MRI and MRS

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