Ultrasound imaging is one of the most widely used modalities in clinical practice, revealing human prenatal development but also arterial function in the adult brain. Ultrasound waves travel deep within soft biological tissues and provide information about the motion and mechanical properties of internal organs. A drawback of ultrasound imaging is its limited ability to detect molecular targets due to a lack of cell-type specific acoustic contrast. To date, this limitation has been addressed by targeting synthetic ultrasound contrast agents to molecular targets. This molecular ultrasound imaging approach has proved to be successful but is restricted to the vascular space. Here, we introduce the nascent field of biomolecular ultrasound imaging, a molecular imaging approach that relies on genetically encoded acoustic biomolecules to interface ultrasound waves with cellular processes. We review ultrasound imaging applications bridging wave physics and chemical engineering with potential for deep brain imaging.
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http://dx.doi.org/10.1016/j.neuroscience.2021.03.011 | DOI Listing |
Med Biol Eng Comput
January 2025
School of Biomedical Engineering, Shanghai Jiao Tong University, No.1954 Huashan Road, Shanghai, 200030, Shanghai, China.
Previous studies reported baseline state-dependent effects on neural and hemodynamic responses to transcranial ultrasound stimulation. However, due to neurovascular coupling, neither neural nor hemodynamic baseline alone can fully explain the ultrasound-induced responses. In this study, using a general linear model, we aimed to investigate the roles of both neural and hemodynamic baseline status as well as their interactions in ultrasound-induced responses.
View Article and Find Full Text PDFSurg Endosc
January 2025
Department of Internal Medicine, National Taiwan University Hospital, No.7, Chung-Shan South Road, Taipei, Taiwan.
Background: This study aimed to investigate the clinical characteristics and esophageal motility of patients with gastric cardia submucosal tumors (SMTs) and the associated changes after endoscopic resection based on high-resolution impedance manometry (HRIM).
Methods: From our electronic database, we identified patients who underwent pre-operative evaluation of gastric cardia SMTs between 2015 and 2023. All patients completed standardized symptom questionnaires and underwent endoscopic ultrasonography and HRIM.
Sci Rep
January 2025
Department of Gastroenterology and Hepatology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita City, Osaka, Japan.
Lymph node sampling with endoscopic ultrasound fine needle aspiration (EUS-FNA) may affect treatment options for biliary tract cancers. Our aim is to clarify its utility and clinical significance and the factors associated with FNA cytology positivity. Seventy-one consecutive patients with biliary tract cancer who underwent EUS-FNA to diagnose lymphadenopathies from April 2012 to July 2021 were enrolled retrospectively.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Chuanshan Road No. 69, Hengyang, 421001, Hunan, China.
To determine the diagnostic performance of dual-energy CT (DECT) virtual noncalcium (VNCa) technique in the detection of bone marrow lesions (BMLs) in knee osteoarthritis, and further analyze the correlation between the severity of BMLs on VNCa image and the degree of knee pain. 23 consecutive patients with clinically diagnosed knee osteoarthritis were underwent DECT and 3.0T MRI between August 2017 and November 2018.
View Article and Find Full Text PDFSci Rep
January 2025
Gastroenterology Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing endoscopic ultrasound (EUS) images to predict pancreatic neuroendocrine tumors (PNETs). Following confirmation via pathological examination, a retrospective analysis was performed on a cohort of 266 patients, comprising 115 individuals diagnosed with PNETs and 151 with pancreatic cancer. These patients were randomly assigned to the training or test group in a 7:3 ratio.
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