[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges

Z Liu, S Wang, D Dong, J Wei, C Fang, X Zhou… - Theranostics, 2019 - ncbi.nlm.nih.gov
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …

Design and validation of diffusion MRI models of white matter

IO Jelescu, MD Budde - Frontiers in physics, 2017 - frontiersin.org
Diffusion MRI is arguably the method of choice for characterizing white matter microstructure
in vivo. Over the typical duration of diffusion encoding, the displacement of water molecules …

Diffusion MRI of cancer: From low to high b‐values

L Tang, XJ Zhou - Journal of Magnetic Resonance Imaging, 2019 - Wiley Online Library
Following its success in early detection of cerebral ischemia, diffusion‐weighted imaging
(DWI) has been increasingly used in cancer diagnosis and treatment evaluation. These …

Radiomics strategy for glioma grading using texture features from multiparametric MRI

Q Tian, LF Yan, X Zhang, X Zhang… - Journal of Magnetic …, 2018 - Wiley Online Library
Background Accurate glioma grading plays an important role in the clinical management of
patients and is also the basis of molecular stratification nowadays. Purpose/Hypothesis To …

Radiomics assessment of bladder cancer grade using texture features from diffusion‐weighted imaging

X Zhang, X Xu, Q Tian, B Li, Y Wu… - Journal of Magnetic …, 2017 - Wiley Online Library
Purpose To 1) describe textural features from diffusion‐weighted images (DWI) and
apparent diffusion coefficient (ADC) maps that can distinguish low‐grade bladder cancer …

Assessment of microvascular invasion of hepatocellular carcinoma with diffusion kurtosis imaging

WT Wang, L Yang, ZX Yang, XX Hu, Y Ding, X Yan… - Radiology, 2018 - pubs.rsna.org
Purpose To evaluate the potential role of diffusion kurtosis imaging and conventional
magnetic resonance (MR) imaging findings including standard monoexponential model of …

Texture analysis imaging “what a clinical radiologist needs to know”

G Corrias, G Micheletti, L Barberini, JS Suri… - European Journal of …, 2022 - Elsevier
Texture analysis has arisen as a tool to explore the amount of data contained in images that
cannot be explored by humans visually. Radiomics is a method that extracts a large number …

Assessment of diffusion tensor imaging metrics in differentiating low-grade from high-grade gliomas

L El-Serougy, AAK Abdel Razek… - The …, 2016 - journals.sagepub.com
Aim The aim of this article is to assess diffusion tensor imaging (DTI) metrics in differentiating
low-grade from high-grade gliomas. Patients and methods A prospective study was …

[HTML][HTML] Imaging brain tumour microstructure

M Nilsson, E Englund, F Szczepankiewicz… - Neuroimage, 2018 - Elsevier
Imaging is an indispensable tool for brain tumour diagnosis, surgical planning, and follow-
up. Definite diagnosis, however, often demands histopathological analysis of microscopic …

Glioma grade discrimination with MR diffusion kurtosis imaging: a meta-analysis of diagnostic accuracy

A Falk Delgado, M Nilsson, D Van Westen… - Radiology, 2018 - pubs.rsna.org
Purpose To assess the diagnostic test accuracy and sources of heterogeneity for the
discriminative potential of diffusion kurtosis imaging (DKI) to differentiate low-grade glioma …