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Background: Malignant tumors are associated with increased tissue rigidity, which can be an indicator of tumor progression. MR elastography (MRE) has the potential to study the variations of tumor mechanical properties. ex vivo studies have shown the ability of MRE to assess increase of mechanical properties; nevertheless, it has not yet been observed in vivo.
Purpose: To propose a method to assess the increase in mechanical properties of tumors in vivo under static external compression using MRE.
Study Type: Prospective, experimental study.
Animal Model: Forty-six SCID mice with subcutaneous tumor implantation (patient-derived hepatocellular carcinoma xenografts, Model 1, n = 13, and Model 2, n = 33).
Field Strength/sequence: 7.0T; a spin echo sequence was used for anatomical images and a modified spin echo sequence for elastography acquisitions with a vibration frequency of 600 Hz.
Assessment: An inflatable balloon was placed on the abdomen to apply a load to the tumor. MRE acquisitions were performed at the basal state and at increasing compression levels. Anatomical images were used to calculate the octahedral shear strain between the tumor at the basal strain state and each strain level. For six mice (Model 2), each static preloading scan was acquired twice consecutively without moving the mouse to evaluate repeatability. Statistical Tests: The Bland-Altman method was used to assess repeatability. Correlations between tumor stiffness and deformation were evaluated with Pearson correlation coefficients.
Results: For stiffness (G*), a good repeatability was obtained between the acquisitions; the limits of agreement of the Bland-Altman test were [-10.17%; 11.49%] with an absolute bias of 0.66%. A significant correlation between tumor stiffness and deformation was observed for both models (Model 1: r = 0.57, P < 0.0001 and Model 2: r = 0.31, P < 0.0001).
Data Conclusion: We establish that tumor mechanical properties can increase under mechanical compression. This increase can effectively be monitored using a proposed MRE setup.
Level Of Evidence: 2 Technical Efficacy: Stage 1 J. Magn. Reson. Imaging 2019;50:1982-1989.
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http://dx.doi.org/10.1002/jmri.26787 | DOI Listing |
Macromol Biosci
September 2025
IMEM-BRT Group, Departament d'Enginyeria Química, EEBE, Universitat Politècnica de Catalunya, Barcelona, Spain.
This study investigates a multifunctional hydrogel system integrating carboxymethyl cellulose (CMC) in a 3D-printed limonene (LIM) scaffold coated with poly(3,4-ethylenedioxythiophene): polystyrene sulfonate (PEDOT:PSS). The system allows to enhance wound healing, prevent infections, and monitor the healing progress. CMC is crosslinked with citric acid (CA) to form the hydrogel matrix (CMC-CA), while the 3D-printed limonene (LIM) scaffold is embedded within the hydrogel to provide mechanical support.
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Department of Neurosurgery, Shinshu University School of Medicine, Matsumoto, Japan.
BackgroundA stable guiding system is essential for successful carotid artery stenting (CAS), particularly when navigating tortuous aortic or supra-aortic anatomy. However, data on the mechanical behavior of stent delivery systems remain scarce.ObjectiveTo assess and compare the bending stiffness and trackability of five commercially available carotid stent delivery systems using bench-top experiments.
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Key Laboratory of Bio-based Material Science and Technology of Ministry of Education, Northeast Forestry University, Harbin, P. R. China.
Rapid advancement of flexible electronics has generated a demand for sustainable materials. Cellulose, a renewable biopolymer, exhibits exceptional mechanical strength, customizable properties, biodegradability, and biocompatibility. These attributes are largely due to its hierarchical nanostructures and modifiable surface chemistry.
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Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Republic of Korea.
Vagus nerve stimulation (VNS) is a promising therapy for neurological and inflammatory disorders across multiple organ systems. However, conventional rigid interfaces fail to accommodate dynamic mechanical environments, leading to mechanical mismatches, tissue irritation, and unstable long-term interfaces. Although soft neural interfaces address these limitations, maintaining mechanical durability and stable electrical performance remains challenging.
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Medical and Biological Computing Laboratory, School of Biosciences and Technology (SBST), Vellore Institute of Technology (VIT), Vellore, 632014, India.
Salmonella enterica serovar Typhi, the etiological agent of Typhoid fever, remains a critical public health concern associated with high morbidity in many developing countries. The widespread emergence of multidrug-resistant (MDR) Salmonella Typhi strains against the fluoroquinolone group of antibiotics, particularly ciprofloxacin, poses a significant global therapeutic challenge with underlying resistance due to mutations in quinolone-resistance determining region (QRDR) of gyrA gene, encoding DNA gyrase subunit A (GyrA). In pursuit of alternative therapeutic candidates, the present study was designed to evaluate ciprofloxacin analogues against prevalent GyrA mutations (S83F, D87G, and D87N) to overcome fluoroquinolone resistance through machine learning (ML)-based approach.
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