Academic Journal
Biodistribution Assessment of a Novel 68Ga-Labeled Radiopharmaceutical in a Cancer Overexpressing CCK2R Mouse Model: Conventional and Radiomics Methods for Analysis
| Τίτλος: | Biodistribution Assessment of a Novel 68Ga-Labeled Radiopharmaceutical in a Cancer Overexpressing CCK2R Mouse Model: Conventional and Radiomics Methods for Analysis |
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| Συγγραφείς: | Pavone A. M., Benfante V., Giaccone P., Stefano A., Torrisi F., Russo V., Serafini D., Richiusa S., Pometti M., Scopelliti F., Ippolito M., Giannone A. G., Cabibi D., Asti M., Vettorato E., Morselli L., Merone M., Lunardon M., Andrighetto A., Tuttolomondo A., Cammarata F. P., Verona M., Marzaro G., Mastrotto F., Parenti R., Russo G., Comelli A. |
| Συνεισφορές: | Pavone A.M., Benfante V., Giaccone P., Stefano A., Torrisi F., Russo V., Serafini D., Richiusa S., Pometti M., Scopelliti F., Ippolito M., Giannone A.G., Cabibi D., Asti M., Vettorato E., Morselli L., Merone M., Lunardon M., Andrighetto A., Tuttolomondo A., Cammarata F.P., Verona M., Marzaro G., Mastrotto F., Parenti R., Russo G., Comelli A. |
| Στοιχεία εκδότη: | MDPI |
| Έτος έκδοσης: | 2024 |
| Συλλογή: | IRIS Università degli Studi di Palermo |
| Θεματικοί όροι: | 68Ga-labeled radiopharmaceutical, biodistribution, digital pathology, histology, micro-PET/CT, mouse imaging, nuclear medicine, radiomics |
| Περιγραφή: | The aim of the present study consists of the evaluation of the biodistribution of a novel Ga-68-labeled radiopharmaceutical, [Ga-68]Ga-NODAGA-Z360, injected into Balb/c nude mice through histopathological analysis on bioptic samples and radiomics analysis of positron emission tomography/computed tomography (PET/CT) images. The Ga-68-labeled radiopharmaceutical was designed to specifically bind to the cholecystokinin receptor (CCK2R). This receptor, naturally present in healthy tissues such as the stomach, is a biomarker for numerous tumors when overexpressed. In this experiment, Balb/c nude mice were xenografted with a human epidermoid carcinoma A431 cell line (A431 WT) and overexpressing CCK2R (A431 CCK2R+), while controls received a wild-type cell line. PET images were processed, segmented after atlas-based co-registration and, consequently, 112 radiomics features were extracted for each investigated organ / tissue. To confirm the histopathology at the tissue level and correlate it with the degree of PET uptake, the studies were supported by digital pathology. As a result of the analyses, the differences in radiomics features in different body districts confirmed the correct targeting of the radiopharmaceutical. In preclinical imaging, the methodology confirms the importance of a decision-support system based on artificial intelligence algorithms for the assessment of radiopharmaceutical biodistribution. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Γλώσσα: | English |
| Relation: | info:eu-repo/semantics/altIdentifier/pmid/38541733; info:eu-repo/semantics/altIdentifier/wos/WOS:001193453800001; volume:14; issue:3; numberofpages:16; journal:LIFE; https://hdl.handle.net/10447/665549 |
| DOI: | 10.3390/life14030409 |
| Διαθεσιμότητα: | https://hdl.handle.net/10447/665549 https://doi.org/10.3390/life14030409 |
| Rights: | info:eu-repo/semantics/openAccess |
| Αριθμός Καταχώρησης: | edsbas.A9E4930E |
| Βάση Δεδομένων: | BASE |
| DOI: | 10.3390/life14030409 |
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