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Background: Noninvasive and functional tumor vascular system imaging at the microscopic scale is greatly significant. Using animal models, we investigated the feasibility of using superresolution ultrasound (SR-US) imaging to visualize and quantify the microvessels during tumor growth.
Methods: This study established nine rabbit VX2 tumor models. Conventional US, contrast-enhanced US (CEUS), and SR-US images were acquired on Days 5, 8, and 14 postimplantation in 18 VX2 tumors. The imaging capabilities of CEUS and SR-US were compared, and hemodynamic changes were assessed using SR-US parameters. Pearson's correlation was calculated to analyze the association between the microvessel density (MVD) from histopathology and the vascular density (VD) from SR-US.
Results: SR-US demonstrated superior resolution compared with conventional CEUS. The minimum discernible vessel diameter of 105.2 ± 7.5 μm was observed in the VX2 tumor microvasculature visualized with SR-US. A strong positive correlation (r = 0.82, P = 0.006) was found between MVD and VD. The tumor size progression exhibited distinct stages: stable stage (Days 5 and 8) and growth stage (Days 8-14). Vessel pixels significantly increased throughout all experimental stages (P < 0.05), whereas both the VD and perfusion index demonstrated transient increases during the early stage before returning to baseline levels. The mean velocity and flow direction entropy initially decreased but returned to baseline later. The maximum velocity and fractal dimension significantly increased during the accelerated stage (P < 0.05).
Conclusions: Quantitative SR-US parameters provided a valuable tool for assessing microvascular changes during tumor progression.
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http://dx.doi.org/10.4103/jcrt.jcrt_936_25 | DOI Listing |
Talanta
August 2025
School of Public Health &Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330031, PR China. Electronic address:
Hemorrhagic fever with renal syndrome (HFRS), caused by Hantaan virus, poses a serious public health threat. Current diagnostic methods remain limited by low sensitivity, complex procedures, and high sample requirements. To address this, we developed a highly sensitive single-molecule biosensor using multi-fluorophore nucleic acid probes and STORM imaging for the detection of Hantaan virus RNA.
View Article and Find Full Text PDFJ Cancer Res Ther
September 2025
Department of Interventional Ultrasound, The Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing 100039, China.
Background: Noninvasive and functional tumor vascular system imaging at the microscopic scale is greatly significant. Using animal models, we investigated the feasibility of using superresolution ultrasound (SR-US) imaging to visualize and quantify the microvessels during tumor growth.
Methods: This study established nine rabbit VX2 tumor models.
Med Phys
August 2025
Department of Nuclear Medicine, Affiliated Hospital of Nantong University, Nantong, JiangSu, China.
Background: Super-resolution (SR) reconstruction-based positron emission tomography (PET) imaging has been widely applied in the field of computer vision. However, their definitive clinical benefits have yet to be validated. Radiomics-based modeling provides an effective approach to evaluate the clinical utility of SRPET imaging.
View Article and Find Full Text PDFCancer Biother Radiopharm
September 2025
Department of Critical Care Medicine, The First People's Hospital of Jiande, Hangzhou city, China.
Oncologic emergencies in critically ill cancer patients frequently require rapid, real-time assessment of tumor responses to therapeutic interventions. However, conventional imaging modalities such as computed tomography and magnetic resonance imaging are often impractical in intensive care units (ICUs) due to logistical constraints and patient instability. Super-resolution ultrasound (SR-US) imaging has emerged as a promising noninvasive alternative, facilitating bedside evaluation of tumor microvascular dynamics with exceptional spatial resolution.
View Article and Find Full Text PDFQuant Imaging Med Surg
September 2025
Department of Health Data Science, Anhui Medical University, Hefei, China.
Background: Lung cancer remains one of the malignant tumors with the highest global morbidity and mortality rates. Detecting pulmonary nodules in computed tomography (CT) images is essential for early lung cancer screening. However, traditional detection methods often suffer from low accuracy and efficiency, limiting their clinical effectiveness.
View Article and Find Full Text PDF