Journal ArticleDOI
Gliomas: Diffusion Kurtosis MR Imaging in Grading
Sofie Van Cauter,Jelle Veraart,Jan Sijbers,Ronald R. Peeters,Uwe Himmelreich,Frederik De Keyzer,Stefaan Van Gool,Frank Van Calenbergh,Steven De Vleeschouwer,Wim Van Hecke,Stefan Sunaert +10 more
TLDR
There were significant differences in kurtosis parameters between high-grade and low-grade gliomas; hence, better separation was achieved with these parameters than with conventional diffusion imaging parameters.Abstract:
Mean kurtosis and linearly related kurtosis tensor parameters are potential new noninvasive biomarkers in the grading of gliomas.read more
Citations
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Journal ArticleDOI
Diffusion kurtosis imaging: an emerging technique for evaluating the microstructural environment of the brain.
TL;DR: Diffusion kurtosis imaging provides independent and complementary information to that acquired with traditional diffusion techniques that may indicate the complexity of the microstructural environment of the imaged tissue and may lead to broad-reaching applications in all aspects of neuroradiology.
Journal ArticleDOI
Breast Cancer: Diffusion Kurtosis MR Imaging—Diagnostic Accuracy and Correlation with Clinical-Pathologic Factors
Kun Sun,Xiaosong Chen,Weimin Chai,Xiaochun Fei,Caixia Fu,Xu Yan,Ying Zhan,Kemin Chen,Kunwei Shen,Fuhua Yan +9 more
TL;DR: DKI showed higher specificity than did conventional diffusion-weighted imaging for assessment of benign and malignant breast lesions and patients with grade 3 breast cancer or tumors with high expression of Ki-67 were associated with higher kurtosis and lower diffusivity coefficients; however, this association must be confirmed in prospective studies.
Journal ArticleDOI
Machine Learning-Based Radiomics for Molecular Subtyping of Gliomas
Chia Feng Lu,Chia Feng Lu,Fei Ting Hsu,Fei Ting Hsu,Kevin Li Chun Hsieh,Kevin Li Chun Hsieh,Yu-Chieh Jill Kao,Sho Jen Cheng,Justin Bo-Kai Hsu,Ping Huei Tsai,Ping Huei Tsai,Ray Jade Chen,Ray Jade Chen,Chao Ching Huang,Chao Ching Huang,Yun Yen,Cheng Yu Chen,Cheng Yu Chen +17 more
TL;DR: The MR radiomics-based method provides a reliable alternative to determine the histology and molecular subtypes of gliomas and shows comparable model performance with that on the training dataset, suggesting the efficacy of the trained classifiers.
Journal ArticleDOI
Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging
Yan Bai,Yusong Lin,Jie Tian,Dapeng Shi,Jingliang Cheng,E. Mark Haacke,Xiaohua Hong,Bo Ma,Jinyuan Zhou,Meiyun Wang,Meiyun Wang +10 more
TL;DR: Water molecular diffusion heterogeneity index and mean kurtosis values may provide additional information and improve the grading of gliomas compared with conventional diffusion parameters.
Journal ArticleDOI
The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE)
Filip Szczepankiewicz,Danielle van Westen,Elisabet Englund,Carl-Fredrik Westin,Freddy Ståhlberg,Jimmy Lätt,Pia C. Sundgren,Markus Nilsson +7 more
TL;DR: DIVIDE allows non-invasive mapping of parameters that reflect variable cell eccentricity and density in brain tumors and constitutes convincing evidence that a link exists between specific aspects of tissue heterogeneity and parameters from dMRI.
References
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Journal ArticleDOI
The 2007 WHO Classification of Tumours of the Central Nervous System
David N. Louis,Hiroko Ohgaki,Otmar D. Wiestler,Webster K. Cavenee,Peter C. Burger,Anne Jouvet,Bernd W. Scheithauer,Paul Kleihues +7 more
TL;DR: The fourth edition of the World Health Organization (WHO) classification of tumours of the central nervous system, published in 2007, lists several new entities, including angiocentric glioma, papillary glioneuronal tumour, rosette-forming glioneurs tumour of the fourth ventricle, Papillary tumourof the pineal region, pituicytoma and spindle cell oncocytoma of the adenohypophysis.
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WHO classification of tumours of the central nervous system
TL;DR: The current edition of the WHO Classification of Tumours of the Central Nervous System will serve as an indispensable textbook for all of those involved in the diagnosis and management of patients with tumors of the CNS, and will make a valuable addition to libraries in pathology, radiology, oncology, and neurosurgery departments.
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Diffusion tensor imaging: Concepts and applications
D. Le Bihan,J.-F. Mangin,Cyril Poupon,Chris A. Clark,Sabina Pappatà,Nicolas Molko,Hugues Chabriat +6 more
TL;DR: The concepts behind diffusion tensor imaging are reviewed and potential applications, including fiber tracking in the brain, which, in combination with functional MRI, might open a window on the important issue of connectivity.
Journal ArticleDOI
Diffusional kurtosis imaging: The quantification of non-gaussian water diffusion by means of magnetic resonance imaging
TL;DR: From the study of six healthy adult subjects, the excess diffusional kurtosis is found to be significantly higher in white matter than in gray matter, reflecting the structural differences between these two types of cerebral tissues.
Journal ArticleDOI
The B-matrix must be rotated when correcting for subject motion in DTI data.
Alexander Leemans,Derek K. Jones +1 more
TL;DR: A systematic study to investigate the effect of neglecting to reorient the B‐matrix on DTI data during motion correction is presented and the consequences for diffusion fiber tractography are discussed.
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