Fluorescence molecular imaging plays a vital role in image-guided surgery. In this context, the urokinase plasminogen activator receptor (uPAR) is an interesting biomarker enabling the detection and delineation of various tumor types due to its elevated expression on both tumor cells and the tumor microenvironment. In this study, anti-uPAR Nanobodies (Nbs) are generated through llama immunization with human and murine uPAR protein. Extensive in vitro characterization and in vivo testing with radiolabeled variants are conducted to assess their pharmacokinetics and select lead compounds. Subsequently, the selected Nbs are converted into fluorescent agents, and their application for fluorescence-guided surgery is evaluated in various subcutaneous and orthotopic tumor models. The study yields a panel of high-affinity anti-uPAR Nbs, showing specific binding across multiple types of cancer cells in vitro and in vivo. Lead fluorescently-labeled compounds exhibit high tumor uptake with high contrast at 1 h after intravenous injection across all assessed uPAR-expressing tumor models, outperforming a non-targeting control Nb. Additionally, rapid and accurate tumor localization and demarcation are demonstrated in an orthotopic human glioma model. Utilizing these Nbs can potentially enhance the precision of surgical tumor resection and, consequently, improve survival rates in the clinic.
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http://dx.doi.org/10.1002/advs.202400700 | DOI Listing |
Clin Oral Implants Res
January 2025
Department of Oral and Maxillofacial Surgery-Plastic Operations, University Medical Center Mainz, Mainz, Germany.
Objectives: This experimental study compared the accuracy of implant insertion using the free-hand (FH) technique, static computer-aided surgery (S-CAIS), or dynamic computer-assisted surgery (D-CAIS) and to evaluate the correlation of learning curves between surgeons' experience and surgical time.
Materials And Methods: Thirty-six models were randomly assigned to three groups (FH, n = 12; S-CAIS, n = 12; D-CAIS, n = 12). Each model was planned to receive four implants in the maxillary anterior and posterior regions.
Int J Med Robot
February 2025
Department of Surgery, Division of Transplantation, SUNY Upstate Medical University, Syracuse, New York, USA.
Background: We aimed to investigate the outcome of patients after RDN at different time points.
Methods: We studied the outcomes of 77 living robotic living donor nephrectomies (RDN). Donors were separated into three groups: learning curve period (LCP), stabilisation period (SP), and teaching period (TP).
Int J Nanomedicine
January 2025
College of Chemical and Material Engineering, Quzhou University, Quzhou, Zhejiang Province, 324000, People's Republic of China.
Background: Precise intraoperative tumor delineation is essential for successful surgical outcomes. However, conventional methods are often incompetent to provide intraoperative guidance due to lack specificity and sensitivity. Recently fluorescence-guided surgery for tumors to delineate between cancerous and healthy tissues has attracted widespread attention.
View Article and Find Full Text PDFCureus
December 2024
Department of Orthopaedic Surgery, The Jikei University School of Medicine, Tokyo, JPN.
Ossification of the ligamentum flavum (OLF) can lead to dural ossification, significantly increasing the risk of complications, including intraoperative nerve injury. The application of augmented reality (AR) and advanced digital technologies in spine surgery has the potential to reduce these risks. This case report highlights a perioperative nerve injury-free microsurgery using elastic image fusion technology, which integrates preoperative imaging with intraoperative computed tomography for a patient with severe stenotic OLF and dural ossification.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, No.95 Zhongguancun East Road, Hai Dian District, Beijing, 100190, China.
Purpose: Precise tumor excision is important but challenging in breast-conserving surgery (BCS). Tumor-specific fluorescence imaging may be used for intraoperative tumor detection and, therefore, to guide precise tumor excision. The aims of this study are to develop a glucose transporter 1 (GLUT1)-targeted near-infrared fluorescence tracer and evaluate its accuracy for breast cancer detection using fresh surgical breast specimens.
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