Results 41 to 50 of about 245,977 (262)

Multi‐institutional study on image quality for a novel CBCT solution on O‐ring linac

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Introduction This work presents a multi‐institutional study on image quality provided by a novel cone beam computed tomography (CBCT). The main goal is to investigate the consistency of imaging performance across multiple institutions.
Luis Agulles‐Pedrós, R. Lee MacDonald, Amanda Jean Cherpak, Nayha Dixit, Lei Dong, Tianyu Zhao, Kundan Thind, Anthony Doemer, Boon‐Keng Teo, Shiqin Su, Alexander Moncion, James L. Robar   +11 more
wiley   +1 more source

LightBTSeg: A lightweight breast tumor segmentation model using ultrasound images via dual-path joint knowledge distillation [PDF]

arXiv, 2023
The accurate segmentation of breast tumors is an important prerequisite for lesion detection, which has significant clinical value for breast tumor research. The mainstream deep learning-based methods have achieved a breakthrough. However, these high-performance segmentation methods are formidable to implement in clinical scenarios since they always ...
arxiv  

“It’s a silver lining”: A template analysis of satisfaction and quality of life following post-mastectomy breast reconstruction [PDF]

, 2018
The file attached to this record is the author's final peer reviewed version.Objective: In the United Kingdom, the number of women electing to undergo post-mastectomy breast reconstruction is increasing.
Abu-Nab, Al-Ghazal, Alderman, Archer, Arora, Atisha, Ballard, Bar-Meir, Barry, Brooks, Ceradini, Denford, Dutra, Fasse, Filiberti, Harcourt, Hill, Holland, Howard-McNatt, Janz, Jefferson, King, King, Klassen, Lee, Levites, Loaring, Marshall, Matthews, McKean, Murray, Nissen, Noone, Oiz, Pusic, Rowland, Shakespeare, Shauver, Sheehan, Sherman, Tong, Yang, Yonelinas, Yueh   +43 more
core   +2 more sources

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms [PDF]

arXiv, 2023
Breast cancer continues to be a significant cause of mortality among women globally. Timely identification and precise diagnosis of breast abnormalities are critical for enhancing patient prognosis. In this study, we focus on improving the early detection and accurate diagnosis of breast abnormalities, which is crucial for improving patient outcomes ...
arxiv  

CNS Mitochondria‐Derived Vesicle in Blood: Potential Biomarkers for Brain Mitochondria Dysfunction

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Mitochondrial dysfunction is a hallmark of neurodegenerative diseases like Alzheimer's (AD) and Parkinson's (PD). Our goal was to develop practical, noninvasive methods to assess mitochondrial status through the detection of mitochondria‐derived vesicles (MDVs).
Qi Liu, Wentao Chen, Yahong Wu, Zhen Guo, Jun Chen, Chen Tian, Pan Wang, Shaopeng Zeng, Bin Xu, Jing Duan, Shilong Han, Xiao Xiong, Jing Zhang   +12 more
wiley   +1 more source

Optical Tomographic Imaging for Breast Cancer Detection [PDF]

, 2017
Diffuse optical breast imaging utilizes near-infrared (NIR) light propagation through tissues to assess the optical properties of tissue for the identification of abnormal tissue. This optical imaging approach is sensitive, cost-effective, and does not involve any ionizing radiation. However, the image reconstruction of diffuse optical tomography (DOT)
arxiv   +1 more source

Numerical methods for coupled reconstruction and registration in digital breast tomosynthesis. [PDF]

, 2013
Digital Breast Tomosynthesis (DBT) provides an insight into the fine details of normal fibroglandular tissues and abnormal lesions by reconstructing a pseudo-3D image of the breast.
Arridge, S, Hawkes, D, Hipwell, J, Yang, GUANG   +3 more
core   +1 more source

RhoA and Rac1 as Mechanotransduction Mediators in Colorectal Cancer

Advanced Biology, EarlyView.
Analysing RhoA and Rac1 protein levels in Colorectal cancer (CRC) samples under mechanical strain highlights their potential as diagnostic markers. Monitoring their activity could offer valuable insights into how cancer spreads, paving the way for new approaches to better understand and diagnose colorectal cancer.
Sharda Yadav, Sanjaya KC, Mark A. T. Blaskovich, Cu‐tai Lu, Alfred K Lam, Nam‐Trung Nguyen   +5 more
wiley   +1 more source

3D In Vitro Glioma‐Neuron‐Astrocyte Biomimetic Composites Recapitulate Key Molecular Mechanisms Linked to Glioblastoma Multiforme Pathophysiology

Advanced Functional Materials, EarlyView.
Glioblastoma multiforme is the most devastating and incurable brain tumor. To better study this disease, a 3D model is developed using a hyaluronic acid‐based hydrogel combined with a multicellular approach. This model recapitulates in vivo brain stiffness, cell‐extracellular matrix and cell‐cell interactions and the tumor's hijacking function with the
Mateo S. Andrade Mier, Esra Türker, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Panthipa Suwannakot, Benedikt Gantert, Abhinav Singh, Vanessa Moessler, Annemarie Sodmann, Nicoletta Murenu, Joachim Schenk, Natascha Schaefer, Torsten Blunk, Aldo R. Boccaccini, Tessa C. Lühmann, Jörg Tessmar, Jeremy M. Crook, Eva Tomaskovic‐Crook, Paul D. Dalton, Gregor Lang, Robert Blum, Reiner Strick, Silvia Budday, Katrin G. Heinze, Carmen Villmann   +26 more
wiley   +1 more source