Diagnostic utility of intravoxel incoherent motion mr imaging in differentiating primary central nervous system lymphoma from glioblastoma multiforme

Purpose The purpose of this study was to differentiate glioblastoma multiforme from primary central nervous system lymphoma using the customised first and second-order histogram features derived from apparent diffusion coefficients. Methods and materials: A total of 82 patients (57 with glioblastoma multiforme and 25 with primary central nervous system lymphoma) were included in this study. The axial T1 post-contrast and fluid-attenuated inversion recovery magnetic resonance images were used to delineate regions of interest for the tumour and peritumoral oedema. The regions of interest were then co-registered with the apparent diffusion coefficient maps, and the first and second-order histogram features were extracted and compared between glioblastoma multiforme and primary central nervous system lymphoma groups. Receiver operating characteristic curve analysis was performed to calculate a cut-off value and its sensitivity and specificity to differentiate glioblastoma multiforme from primary central nervous system lymphoma. Results Based on the tumour regions of interest, apparent diffusion coefficient mean, maximum, median, uniformity and entropy were higher in the glioblastoma multiforme group than the primary central nervous system lymphoma group ( P ≤ 0.001). The most sensitive first and second-order histogram feature to differentiate glioblastoma multiforme from primary central nervous system lymphoma was the maximum of 2.026 or less (95% confidence interval (CI) 75.1–99.9%), and the most specific first and second-order histogram feature was smoothness of 1.28 or greater (84.0% CI 70.9–92.8%). Based on the oedema regions of interest, most of the first and second-order histogram features were higher in the glioblastoma multiforme group compared to the primary central nervous system lymphoma group ( P ≤ 0.015). The most sensitive first and second-order histogram feature to differentiate glioblastoma multiforme from primary central nervous system lymphoma was the 25th percentile of 0.675 or less (100% CI 83.2–100%) and the most specific first and second-order histogram feature was the median of 1.28 or less (85.9% CI 66.3–95.8%). Conclusions Texture analysis using first and second-order histogram features derived from apparent diffusion coefficient maps may be helpful in differentiating glioblastoma multiforme from primary central nervous system lymphoma.

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Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma

Magnetic Resonance in Medical Sciences ◽

10.2463/mrms.mp.2017-0178 ◽

2019 ◽

Vol 18 (1) ◽

pp. 44-52 ◽

Cited By ~ 10

Author(s):

Akira Kunimatsu ◽

Natsuko Kunimatsu ◽

Koichiro Yasaka ◽

Hiroyuki Akai ◽

Kouhei Kamiya ◽

...

Keyword(s):

Machine Learning ◽

Central Nervous System ◽

Nervous System ◽

Mr Imaging ◽

Texture Analysis ◽

Central Nervous System Lymphoma ◽

Contrast Enhanced

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Differentiation of glioblastoma multiforme, metastases and primary central nervous system lymphomas using multiparametric perfusion and diffusion MR imaging of a tumor core and a peritumoral zone—Searching for a practical approach

PLoS ONE ◽

10.1371/journal.pone.0191341 ◽

2018 ◽

Vol 13 (1) ◽

pp. e0191341 ◽

Cited By ~ 25

Author(s):

Małgorzata Neska-Matuszewska ◽

Joanna Bladowska ◽

Marek Sąsiadek ◽

Anna Zimny

Keyword(s):

Central Nervous System ◽

Nervous System ◽

Glioblastoma Multiforme ◽

Mr Imaging ◽

Practical Approach ◽

Diffusion Mr ◽

And Diffusion ◽

Diffusion Mr Imaging

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A Case of Primary T-Cell Central Nervous System Lymphoma: MR Imaging and MR Spectroscopy Assessment

Case Reports in Radiology ◽

10.1155/2013/916348 ◽

2013 ◽

Vol 2013 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

G. Manenti ◽

F. Di Giuliano ◽

A. Bindi ◽

V. Liberto ◽

V. Funel ◽

...

Keyword(s):

Central Nervous System ◽

Nervous System ◽

Mr Imaging ◽

Mr Spectroscopy ◽

Neuropsychiatric Symptoms ◽

Central Nervous System Lymphoma ◽

Mri Findings ◽

Characteristic Appearance ◽

The Right ◽

Cns Lymphomas

Primary central nervous system lymphomas (PCNSLs) are mainly B-cells lymphomas. A risk factor for the development of PCNSL is immunodeficiency, which includes congenital disorders, iatrogenic immunosuppression, and HIV. The clinical course is rapidly fatal; these patients usually present signs of increased intracranial pressure, nausea, papilledema, vomiting, and neurological and neuropsychiatric symptoms. PCNSL may have a characteristic appearance on CT and MR imaging. DWI sequences and MR spectroscopy may help to differentiate CNS lymphomas from other brain lesions. In this paper, we report a case of a 23-year-old man with T-primary central nervous system lymphoma presenting with a mass in the right frontotemporal lobe. We describe clinical, CT, and MRI findings. Diagnosis was confirmed by stereotactic biopsy of the lesion.

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