An analytical model has been constructed for the process of formation of thermal lesions in tissue, resulting from exposure to intense, highly focused ultrasound beams such as may be used in minimally invasive surgery. The model assumes a Gaussian approximation to beam shape in the focal region and predicts, for any such focal beam, the time delay to initiation of a lesion and the subsequent time course of growth of that lesion in lateral and axial dimensions, taking into account the effects of thermal diffusion and blood perfusion. The necessary approximations and assumptions of the model are considered. Comparison of predictions with experimentally measured data on excised pig liver indicate generally good agreement. Comparisons are also made of this theory with previously published data on exposure-time dependence of lesioning threshold intensity. Deficiencies are identified in existing practice for measuring and reporting acoustic exposures for focused ultrasound surgery, and the proposal is therefore made that a quantity that would be more satisfactory, from the viewpoints both of metrology and biophysical relevance, is the intensity spatially averaged over the area enclosed by the half-pressure-maximum contour in the focal plane, as determined under linear conditions, provisionally denoted as ISAL.
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http://dx.doi.org/10.1016/0301-5629(94)90066-3 | DOI Listing |
Front Pharmacol
January 2025
Department of Ultrasound, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Introduction: Tumor tissues exhibit significantly lower oxygen partial pressure compared to normal tissues, leading to hypoxia in the tumor microenvironment and result in resistance to tumor treatments. Strategies to mitigate hypoxia include enhancing blood perfusion and oxygen supply, for example,by decomposing hydrogen peroxide within the tumor. Improving hypoxia in the tumor microenvironment could potentially improve the efficacy of cancer treatments.
View Article and Find Full Text PDFBMC Musculoskelet Disord
January 2025
Department of Acupuncture and Moxibustion, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Background: Patients with vertebral compression fractures may experience unpredictable residual pain following vertebral augmentation. Clinical prediction models have shown potential for early prevention and intervention of such residual pain. However, studies focusing on the quality and accuracy of these prediction models are lacking.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China.
Background: Accurate detection of hepatocellular carcinoma (HCC) in multiphasic contrast CT is essential for effective treatment and surgical planning. However, the variety of CT images, the misdiagnosis and missed diagnosis, and the inconsistent diagnosis among different radiologists pose challenges to accurate detection which demands sufficient clinical experience and can be time-consuming and labor-intensive.
Purpose: To evaluate the detection performance of an artificial intelligence (AI)-assisted platform for HCC by the external validation dataset.
J Imaging Inform Med
January 2025
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Vision transformer (ViT)and convolutional neural networks (CNNs) each possess distinct strengths in medical imaging: ViT excels in capturing long-range dependencies through self-attention, while CNNs are adept at extracting local features via spatial convolution filters. While ViT may struggle with capturing detailed local spatial information, critical for tasks like anomaly detection in medical imaging, shallow CNNs often fail to effectively abstract global context. This study aims to explore and evaluate hybrid architectures that integrate ViT and CNN to leverage their complementary strengths for enhanced performance in medical vision tasks, such as segmentation, classification, reconstruction, and prediction.
View Article and Find Full Text PDFMed Mol Morphol
January 2025
Faculty of Advanced Techno-Surgery (FATS), Institute of Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8-1 Kawada-Cho, Shinjuku, Tokyo, 162-8666, Japan.
This study evaluates the effects of different high-intensity focused ultrasound irradiation (HIFU) methods on local tumor suppression and systemic antitumor effects, including the abscopal effect, in a mouse model of pancreatic cancer. To ascertain the efficacy of the treatment, pancreatic cancer cells were injected into the thighs of mice and HIFU was applied on one side using continuous waves or trigger pulse waves. Then, tumor volume, tissue changes, and immune marker levels were analyzed.
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