Molecular imaging of orthotopic prostate cancer with nanobubble ultrasound contrast agents targeted to PSMA
| Autor: | Ramamurthy Gopalakrishnan, Yu Wang, Agata A. Exner, James P. Basilion, Reshani Perera, Al de Leon, Xinning Wang, Eric C. Abenojar |
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| Rok vydání: | 2021 |
| Předmět: |
Glutamate Carboxypeptidase II
Male Science Contrast Media Mice Nude Urological cancer Article 030218 nuclear medicine & medical imaging 03 medical and health sciences Prostate cancer 0302 clinical medicine In vivo Prostate Glutamate carboxypeptidase II Animals Humans Medicine Radiation treatment planning Ultrasonography Mice Inbred BALB C Microbubbles Multidisciplinary business.industry Ultrasound Prostatic Neoplasms medicine.disease Extravasation Molecular Imaging medicine.anatomical_structure 030220 oncology & carcinogenesis Antigens Surface Cancer research Cancer imaging Molecular imaging business |
| Zdroj: | Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) Scientific Reports |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-021-84072-5 |
| Popis: | Ultrasound imaging is routinely used to guide prostate biopsies, yet delineation of tumors within the prostate gland is extremely challenging, even with microbubble (MB) contrast. A more effective ultrasound protocol is needed that can effectively localize malignancies for targeted biopsy or aid in patient selection and treatment planning for organ-sparing focal therapy. This study focused on evaluating the application of a novel nanobubble ultrasound contrast agent targeted to the prostate specific membrane antigen (PSMA-targeted NBs) in ultrasound imaging of prostate cancer (PCa) in vivo using a clinically relevant orthotopic tumor model in nude mice. Our results demonstrated that PSMA-targeted NBs had increased extravasation and retention in PSMA-expressing orthotopic mouse tumors. These processes are reflected in significantly different time intensity curve (TIC) and several kinetic parameters for targeted versus non-targeted NBs or LUMASON MBs. These, may in turn, lead to improved image-based detection and diagnosis of PCa in the future. |
| Databáze: | OpenAIRE |
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