Multiparametric approach to breast cancer with emphasis on magnetic resonance imaging in the era of personalized breast cancer treatment

M Kataoka, M Iima, KK Miyake, M Honda - Investigative Radiology, 2023 - journals.lww.com
A multiparametric approach to breast cancer imaging offers the advantage of integrating the
diverse contributions of various parameters. Dynamic contrast-enhanced magnetic …

Advanced magnetic resonance imaging modalities for breast cancer diagnosis: An overview of recent findings and perspectives

D Shahbazi-Gahrouei, F Aminolroayaei, H Nematollahi… - Diagnostics, 2022 - mdpi.com
Breast cancer is the most prevalent cancer among women and the leading cause of death.
Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced …

Accelerated diffusion-weighted imaging in 3 T breast MRI using a deep learning reconstruction algorithm with superresolution processing: a prospective comparative …

C Wilpert, C Neubauer, A Rau, H Schneider… - Investigative …, 2023 - journals.lww.com
Objectives Diffusion-weighted imaging (DWI) enhances specificity in multiparametric breast
MRI but is associated with longer acquisition time. Deep learning (DL) reconstruction may …

Automatic PI-RADS assignment by means of formal methods

L Brunese, MC Brunese, M Carbone, V Ciccone… - La radiologia …, 2022 - Springer
Abstract Introduction and objectives The Prostate Imaging Reporting and Data System (PI-
RADS) version 2 emerged as standard in prostate magnetic resonance imaging …

Diffusion MRI reveals in vivo and non-invasively changes in astrocyte function induced by an aquaporin-4 inhibitor

C Debaker, B Djemai, L Ciobanu, T Tsurugizawa… - PLoS …, 2020 - journals.plos.org
The Glymphatic System (GS) has been proposed as a mechanism to clear brain tissue from
waste. Its dysfunction might lead to several brain pathologies, including the Alzheimer's …

Clinical feasibility of deep learning reconstruction in liver diffusion-weighted imaging: Improvement of image quality and impact on apparent diffusion coefficient value

Q Chen, S Fang, Y Yuchen, R Li, R Deng… - European journal of …, 2023 - Elsevier
Purpose Diffusion-weighted imaging (DWI) of the liver suffers from low resolution, noise, and
artifacts. This study aimed to investigate the effect of deep learning reconstruction (DLR) on …

Evaluation of Monoexponential, Stretched‐Exponential and Intravoxel Incoherent Motion MRI Diffusion Models in Early Response Monitoring to Neoadjuvant …

ZM Almutlaq, DJ Wilson, SE Bacon… - Journal of Magnetic …, 2022 - Wiley Online Library
Background There has been a growing interest in exploring the applications of stretched‐
exponential (SEM) and intravoxel incoherent motion (IVIM) models of diffusion‐weighted …

Combining b2500 diffusion-weighted imaging with BI-RADS improves the specificity of breast MRI

L Saccenti, C de Margerie Mellon, M Scholer… - Diagnostic and …, 2023 - Elsevier
Purpose The purpose of this study was to evaluate the diagnostic performance of visual
assessment of diffusion-weighted images (DWI) obtained with ab value of 2500 s/mm 2 in …

[HTML][HTML] Recommendations for improved reproducibility of ADC derivation on behalf of the Elekta MRI-linac consortium image analysis working group

ALH Bisgaard, R Keesman, AL van Lier… - Radiotherapy and …, 2023 - Elsevier
Background and purpose The apparent diffusion coefficient (ADC), a potential imaging
biomarker for radiotherapy response, needs to be reproducible before translation into …

Multiparametric bone MRI can improve CT-guided bone biopsy target selection in cancer patients and increase diagnostic yield and feasibility of next-generation …

R Donners, I Figueiredo, N Tunariu, M Blackledge… - European …, 2022 - Springer
Objectives To evaluate whether multiparametric bone MRI (mpBMRI) utilising a combination
of DWI signal, ADC and relative fat-fraction (rFF) can identify bone metastases, which …