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Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnostics clinicians mostly rely on clinical symptoms such as fever and tachycardia, often developing as a result of an already fully developed, i.e., symptomatic, surgical leak. A gastric fluid responsive, dual modality, electronic-free, leak sensor system integrable into surgical adhesive suture support materials is introduced. Leak sensors contain high atomic number carbonates embedded in a polyacrylamide matrix, that upon exposure to gastric fluid convert into gaseous carbon dioxide (CO ). CO bubbles remain entrapped in the hydrogel matrix, leading to a distinctly increased echogenic contrast detectable by a low-cost and portable ultrasound transducer, while the dissolution of the carbonate species and the resulting diffusion of the cation produces a markedly reduced contrast in computed tomography imaging. The sensing elements can be patterned into a variety of characteristic shapes and can be combined with nonreactive tantalum oxide reference elements, allowing the design of shape-morphing sensing elements visible to the naked eye as well as artificial intelligence-assisted automated detection. In summary, shape-morphing dual modality sensors for the early and robust detection of postoperative complications at deep tissue sites, opening new routes for postoperative patient surveillance using existing hospital infrastructure is reported.
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http://dx.doi.org/10.1002/advs.202301207 | DOI Listing |
Eur J Nucl Med Mol Imaging
September 2025
Department of PET-CT/MRI, NHC Key Laboratory of Molecular Probe and Targeted Theranostics, Harbin Medical University Cancer Hospital, Harbin, 150081, Heilongjiang, China.
Objective: CXCR4 and integrin αβ play important roles in tumor biology and are highly expressed in multiple types of tumors. This study aimed to synthesize, preclinically evaluate, and clinically validate a novel dual-targeted PET imaging probe Ga-pentixafor-c(RGDfK) for its potential in imaging tumors.
Methods: The effects of Ga-pentixafor-c(RGDfK) on cell viability, targeting specificity, and affinity were assessed in the U87MG cells.
Mol Pharm
September 2025
Center for Orthopedic Surgery, The Third Affiliated Hospital of Southern Medical University, Guangzhou 510630, China.
Myocardial fibrosis, a key pathological feature of hypertensive heart disease (HHD), remains diagnostically challenging due to limited clinical tools. In this study, a FAPI-targeted uptake mechanism previously reported by our group, originally developed for tumor imaging, is extended to the detection of myocardial fibrosis in HHD using [F]F-NOTA-FAPI-MB. The diagnostic performance of this tracer is compared with those of [F]F-FDG, [F]F-FAPI-42, and [F]F-NOTA-FAP2286, and its potential for fluorescence imaging is also evaluated.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Ultrasound, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.
Background: Pancreatic cancer (PC) presents a significant therapeutic challenge due to its immunosuppressive tumor microenvironment (TME). Emerging evidence supports the efficacy of high-voltage electrical pulses (HVEPs) in PC treatment, leveraging dual benefits of pancreatobiliary duct integrity maintenance and immunogenicity activation.
Objective: PubMed, Embase, Cochrane Library, and Web of Science were searched from January 2000 to January 2025.
J Clin Pathol
September 2025
Department of Pathology, Tata Memorial Center, Homi Bhabha National Institute (HBNI), Mumbai, Maharashtra, India
Aims: gene is amplified in 15%-20% of invasive breast cancers (IBCs), serving as critical prognostic and predictive marker. -targeted therapies have improved outcomes for -positive patients, highlighting the importance of accurate assessment. Immunohistochemistry is commonly used for screening overexpression, with equivocal cases reflex tested using in situ hybridisation (ISH) methods like fluorescence (FISH) or dual-colour dual ISH (D-DISH).
View Article and Find Full Text PDFNeural Netw
September 2025
School of Automation and Intelligent Sensing, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
3D shape defect detection plays an important role in autonomous industrial inspection. However, accurate detection of anomalies remains challenging due to the complexity of multimodal sensor data, especially when both color and structural information are required. In this work, we propose a lightweight inter-modality feature prediction framework that effectively utilizes multimodal fused features from the inputs of RGB, depth and point clouds for efficient 3D shape defect detection.
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