The goal of this study was to investigate the accuracy of ultrasound-ultrasound (US-US) fusion imaging for evaluating the ablation effect via phantom-simulated liver tumors. Twenty special phantom models were established, ablated and divided into a complete ablation group (n = 10) and an incomplete ablation group (n = 10). US-US fusion imaging was performed to evaluate the ablation effect. Gross specimens were observed as a standard reference. In this US-US fusion imaging study, the registration success rate was 100% (20/20), and the assessment time was 3.8 ± 0.9 min. The accuracy rate of the evaluation was 100% (20/20). There was no significant difference in the residual pseudo-tumoral area between the evaluation with US-US fusion imaging and gross specimen observation (p = 0.811), and the measurement error was 1.1 ± 0.6 mm. In conclusion, the feasibility and accuracy of US-US fusion imaging when evaluating the ablation effect can be investigated with this phantom-simulated liver tumor ablation model in an ideal state.
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http://dx.doi.org/10.1016/j.ultrasmedbio.2019.07.415 | DOI Listing |
Folia Morphol (Warsz)
January 2025
Department of Orthopedics and Traumatology, University Hospital Queen Giovanna-ISUL, Medical University of Sofia, Sofia, Bulgaria.
Variations in the development of carpal bones are uncommon, with the scaphoid bone typically forming from the fusion of the os centrale carpi and the radial chondrification center during embryogenesis. A bipartite scaphoid is a rare congenital disorder that occurs when these ossification centers fail to fuse, with a prevalence ranging from 0.1% to 0.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Anshan Cancer Hospital, Anshan 114000, Liaoning Province, China.
Background: Ependymoma with lipomatous differentiation is a rare type of ependymoma. The ZFTA fusion-positive supratentorial ependymoma is a novel tumor type in the 2021 World Health Organization classification of central nervous system tumors. ZFTA fusion-positive lipomatous ependymoma has not been reported to date.
View Article and Find Full Text PDFFront Neurorobot
December 2024
Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan, China.
Existing image fusion methods primarily focus on complex network structure designs while neglecting the limitations of simple fusion strategies in complex scenarios. To address this issue, this study proposes a new method for infrared and visible image fusion based on a multimodal large language model. The method proposed in this paper fully considers the high demand for semantic information in enhancing image quality as well as the fusion strategies in complex scenes.
View Article and Find Full Text PDFAsian Spine J
December 2024
Department of Radiology, Advantage Imaging and Research Institute, Chennai, India.
Study Design: Matched case-control study.
Purpose: To evaluate the midterm outcomes of unilateral pedicle screw fixation (UPSF) versus bilateral pedicle screw fixation (BPSF) in transforaminal lumbar interbody fusion (TLIF) procedure, ascertain efficacy of UPSF in adequately decompressing contralateral foramen+spinal canal and reducing rate of adjacent segment degeneration (ASD) at 4-8-year follow-up (FU).
Overview Of Literature: Previous meta-analyses found no significant differences between UPSF and BPSF regarding fusion rates, clinical and radiological outcomes; however, few studies have reported higher rates of cage migration/subsidence and pseudoarthrosis in the UPSF.
J Health Organ Manag
January 2025
University of Malta, Msida, Malta.
Purpose: This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.
Design/methodology/approach: Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI.
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