Results 121 to 130 of about 429,194 (230)

Extracellular Vesicles: Classification, Biological Functions, Diseases, and Therapeutic Opportunities

MedComm, Volume 7, Issue 10, October 2026.
• EV content maintains cellular homeostasis and is involved in several disease onset and progression. • miRNA export in EVs depends on: RNA‐binding proteins recognizing motif sequences and on epitranscriptomic modifications. • The disclosure of delivery mechanisms is crucial for developing personalized EV‐based therapeutic tools. ABSTRACT Extracellular
Sabrina Garbo, Francesco Marocco, Clemens Zwergel, Marco Tripodi, Cecilia Battistelli   +4 more
wiley   +1 more source

Preoperative prediction of the HER2 status and prognosis of patients with endometrial cancer using multiparametric MRI-based radiomics: a multicenter study

Scientific Reports
Non-invasive preoperative assessment of HER2 status is critical for identifying candidates for targeted therapy and personalizing treatment strategies in endometrial cancer (EC).
Guihan Lin, Weiyue Chen, Yongjun Chen, Changsheng Shi, Jingjing Cao, Weibo Mao, Chuchu Zhao, Hongyou Zhou, Yumin Hu, Shuiwei Xia, Weibin Yang, Min Xu, Minjiang Chen, Jiansong Ji, Chenying Lu   +14 more
doaj   +1 more source

Brown Adipose Tissue: Molecular Mechanisms of Regulation, Physiological Functions, and Therapeutic Targets

MedComm, Volume 7, Issue 10, October 2026.
This review systematically covers three core dimensions of brown adipose tissue (BAT): multilayered regulatory mechanisms governing brown adipocyte differentiation and phenotypic identity, physiological functions and signaling pathways in mediating thermogenesis and systemic metabolic crosstalk between BAT and multiple organs, and emerging clinical in ...
Xiaoli Deng, Yuanyuan Shen, Ying Sun, Lu Lu, Chongkui Sun   +4 more
wiley   +1 more source

A Sub‐Microsecond Switch Enabling SWIFT 23Na Imaging at 10.5 T

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1991-2003, October 2026.
ABSTRACT PurposeTo enable sodium SWIFT imaging, which is a zero‐echo time imaging technique, at ultra‐high magnetic fields through the development of custom electronics hardware, and to showcase this capability with in vivo imaging results. MethodsThe custom hardware developed consists of a high‐speed optical trigger with 10 ns resolution, an in‐bore ...
Russell L. Lagore, Simon Schmidt, Edward J. Auerbach, Naoharu Kobayashi, Christoph Schildknecht, Steen Moeller, Elnaz Mahmoudi Mahmoudalilou, Štefan Zbýň, Jutta Ellermann, Gregor Adriany, Gregory J. Metzger   +10 more
wiley   +1 more source

Simultaneous T2, T2*, and R2′ Mapping for Multiple Sclerosis Using Nonlinear Model‐Based Reconstruction of Undersampled Radial RARE‐EPI MRI

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1872-1892, October 2026.
ABSTRACT Purpose To demonstrate the synergy of undersampled radial 2in1‐RARE‐EPI acquisition and nonlinear model‐based reconstruction for accelerated and simultaneous T2, T2*, and R2′ mapping in brains of patients with multiple sclerosis (MS). Methods 2in1‐RARE‐EPI combines a RARE module with an EPI module to capture T2 and T2* information.
Jose Raul Velasquez Vides, Carl J. J. Herrmann, Thomas Gladytz, Hoby P. Hetherington, Hendrik Mattern, Xiaoqing Wang, Jason M. Millward, Shahriar Shalikar, Igor Fabian Tellez Ceja, Beate Endemann, Sonia Waiczies, Joseph Kuchling, Friedemann Paul, Georg Rose, Min‐Chi Ku, Franz Schmitt, Thoralf Niendorf   +16 more
wiley   +1 more source

A Comparison of Tissue Property Values Estimated Using Conventional Cardiac MRF and MT‐Cardiac MRF

Magnetic Resonance in Medicine, Volume 96, Issue 4, Page 1806-1813, October 2026.
ABSTRACT Purpose To evaluate the impact of explicitly modeling Magnetization Transfer (MT) during reconstruction of cardiac Magnetic Resonance Fingerprinting (cMRF) maps on T1 and T2 quantification. Methods cMRF data were reconstructed using two dictionaries: a conventional cMRF dictionary that ignores MT processes, and an MT‐cMRF dictionary modeling ...
Sydney Kaplan, Zexuan Liu, Jesse Hamilton, Shaihan Malik, Chaitanya Madamanchi, Venkatesh Murthy, Scott Swanson, Nicole Seiberlich   +7 more
wiley   +1 more source

A Machine Learning Approach That Measures Extracellular pH Within an In Vivo Tumor Model Using acidoCEST MRI

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
Machine learning models, particularly RFR (random forest regression), provide accurate and computationally efficient tumor pHe estimation from acidoCEST MRI without requiring auxiliary parametric maps. RFR achieved comparable performance to traditional Bloch fitting (RMSE: 0.020 vs.
Alia Khaled, Chetan B. Dhakan, Lucas B. McCullum, Jorge de la Cerda, F. William Schuler, Tianzhe Li, Mark D. Pagel   +6 more
wiley   +1 more source

Fetal MRI : an essential step in interpreting complex ultrasound findings [PDF]

, 2016
Background: Fetal magnetic resonance imaging (MRI) allows for the interpretation of complex fetal anomalies detected on ultrasound (US). Locally it has been available since 2013 but has remained underused.
Gatt, Andre Stefan, Baldacchino, Ian, Saliba, Isabelle   +2 more
core  

Optimal Control‐Based RF Pulses Versus Classical Motion‐Encoding Strategies for In Vivo Hepatic MR Elastography Across Multiple Excitation Frequencies in Mice: Reproducibility Assessment

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
Optimal control (OC)–based motion encoding doubles SNR in vivo in murine hepatic MRE by eliminating motion‐encoding gradients and enabling shorter echo times. Quantitative liver stiffness measurements remain consistent with conventional MEG‐MRE across multiple excitation frequencies, supporting longitudinal studies and clinical translation ...
Tiffany Bakir‐Ageron, Pilar Sango‐Solanas, Eric Van Reeth, Denis Grenier, Kevin Tse Ve Koon, Olivier Beuf   +5 more
wiley   +1 more source

Kidney Structure and Blood Flow Predict Function and Enable Image‐Based eGFR With Non‐Contrast MRI

NMR in Biomedicine, Volume 39, Issue 10, October 2026.
Multiparametric renal MRI in healthy adults identified cortical thickness (r² = 0.38) and renal blood flow (r² = 0.29; both p < 0.001) as the strongest predictors of creatinine‐based eGFR. Together, these measures explained 47% of eGFR variability. Prospective validation demonstrated low bias (−4.9 to 3.4 mL/min/1.73 m²) and good accuracy (p30: 87%–92%)
Emily Powell, Corina Margain, Jiachen Wang, Joel Adler, Alexandra Clark, Adam Bush   +5 more
wiley   +1 more source