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 : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
Akira KunimatsuOsamu Abe

Abstract

Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classification by support vector machine, a method of traditional machine learning, using texture features computed from contrast-enhanced T1-weighted images. This retrospective study on preoperative brain tumor MRI included 76 consecutives, initially treated patients with glioblastoma (n = 55) or PCNSL (n = 21) from one institution, consisting of independent training group (n = 60: 44 glioblastomas and 16 PCNSLs) and test group (n = 16: 11 glioblastomas and 5 PCNSLs) sequentially separated by time periods. A total set of 67 texture features was computed on routine contrast-enhanced T1-weighted images of the training group, and the top four most discriminating features were selected as input variables to train support vector machine classifiers. These features were then evaluated on the test group with subsequent image classification. The area under the receiver operating characteristic curves on the training data was calculated at 0.99 (95% confidence interval [CI]: 0.96-1.00) for the classifier with a ...Continue Reading

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Citations

Dec 4, 2019·Journal of Computer Assisted Tomography·Yuko NakamuraKazuo Awai
May 31, 2020·European Radiology·Hongxi WangRong Tian
Sep 19, 2020·Journal of Personalized Medicine·Nguyen Quoc Khanh LeCheng-Yu Chen
Dec 24, 2018·Japanese Journal of Radiology·Yasuyuki KobayashiHitomi Kobayashi
May 28, 2019·AJNR. American Journal of Neuroradiology·N SoniG Bathla
Dec 1, 2018·Japanese Journal of Radiology·Toru HigakiKazuo Awai
Oct 24, 2020·APL Bioengineering·Alice SegatoElena De Momi
Mar 12, 2021·Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine·Akira KunimatsuOsamu Abe
Jun 14, 2021·Journal of Clinical Neuroscience : Official Journal of the Neurosurgical Society of Australasia·Quinlan D BuchlakMassimo Piccardi

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Methods Mentioned

BETA
biopsy
surgical
feature extraction
imaging techniques

Software Mentioned

R
ImageJ
psych
pROC
Matlab

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