Extracellular matrix in cancer progression and therapy

X He, B Lee, Y Jiang - Medical Review, 2022 - degruyter.com
The tumor ecosystem with heterogeneous cellular compositions and the tumor
microenvironment has increasingly become the focus of cancer research in recent years …

Multitasking dynamic contrast enhanced magnetic resonance imaging can accurately differentiate chronic pancreatitis from pancreatic ductal adenocarcinoma

N Wang, S Gaddam, Y Xie, AG Christodoulou… - Frontiers in …, 2023 - frontiersin.org
Background and aims Accurate differentiation of chronic pancreatitis (CP) and pancreatic
ductal adenocarcinoma (PDAC) is an area of unmet clinical need. In this study, a novel …

Whole‐brain steady‐state CEST at 3 T using MR multitasking

P Han, K Cheema, HL Lee, Z Zhou… - Magnetic resonance …, 2022 - Wiley Online Library
Purpose To perform fast 3D steady‐state CEST (ss‐CEST) imaging using MR Multitasking.
Methods A continuous acquisition sequence with repetitive ss‐CEST modules was …

Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study

C Wu, N Wang, S Gaddam, L Wang, H Han… - Frontiers in …, 2023 - frontiersin.org
Introduction Dynamic contrast-enhanced (DCE) MRI has important clinical value for early
detection, accurate staging, and therapeutic monitoring of cancers. However, conventional …

Motion‐robust quantitative multiparametric brain MRI with motion‐resolved MR multitasking

S Ma, N Wang, Y Xie, Z Fan, D Li… - Magnetic resonance …, 2022 - Wiley Online Library
Purpose To address head motion in brain MRI with a novel motion‐resolved imaging
framework, with application to motion‐robust quantitative multiparametric mapping. Methods …

An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data

KP Slavkova, JC DiCarlo, V Wadhwa… - Magnetic resonance …, 2023 - Wiley Online Library
Purpose To implement physics‐based regularization as a stopping condition in tuning an
untrained deep neural network for reconstructing MR images from accelerated data …

[HTML][HTML] Diagnostic efficacy of ultrasound elastography and dynamic contrast-enhanced MR in benign and malignant breast masses

Z Tao, H Qi, Y Ma - American Journal of Translational Research, 2023 - ncbi.nlm.nih.gov
Objective: To analyze the diagnostic efficacy of ultrasound elastography (UE) and dynamic
contrast-enhanced MR in benign and malignant breast masses. Methods: From August 2016 …

[Retracted] Effect of Neoadjuvant Chemotherapy on Angiogenesis and Cell Proliferation of Breast Cancer Evaluated by Dynamic Enhanced Magnetic Resonance …

L Chang, H Lan - BioMed Research International, 2022 - Wiley Online Library
Background. Breast cancer is the uncontrolled proliferation of breast epithelial cells under
the action of various carcinogenic factors. The evaluation of early efficacy of neoadjuvant …

Nan Wang1, Srinivas Gaddam2, Yibin Xie1, Anthony G. Christodoulou1, 3, Chaowei Wu1, 3, Sen Ma1, Zhaoyang Fan1, 4, Lixia Wang1, Simon Lo2, Andrew E …

SJ Pandol, D Li - Women in cancer imaging and image-directed …, 2023 - books.google.com
Methods: The Multitasking DCE technique was able to acquire one 3D image per second
during the passage of MRI contrast agent, allowing the quantitative estimation of …

Toward advances in data acquisition and analysis for quantitative multi-contrast magnetic resonance imaging

KP Slavkova - 2022 - repositories.lib.utexas.edu
Quantitative magnetic resonance imaging for cancer is an invaluable noninvasive imaging
tool with superior tissue contrast and greater specificity for disease than other imaging …