A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse Models
The <sup>64</sup>Cu-labeled chelator was analyzed in vivo by positron emission tomography (PET) imaging to evaluate its biodistribution in a murine model at different acquisition times. For this purpose, nine 6-week-old female Balb/C nude strain mice underwent micro-PET imaging at three...
| Main Authors: | , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-03-01
|
| Series: | Journal of Imaging |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-433X/8/4/92 |
| _version_ | 1827619645164617728 |
|---|---|
| author | Viviana Benfante Alessandro Stefano Albert Comelli Paolo Giaccone Francesco Paolo Cammarata Selene Richiusa Fabrizio Scopelliti Marco Pometti Milene Ficarra Sebastiano Cosentino Marcello Lunardon Francesca Mastrotto Alberto Andrighetto Antonino Tuttolomondo Rosalba Parenti Massimo Ippolito Giorgio Russo |
| author_facet | Viviana Benfante Alessandro Stefano Albert Comelli Paolo Giaccone Francesco Paolo Cammarata Selene Richiusa Fabrizio Scopelliti Marco Pometti Milene Ficarra Sebastiano Cosentino Marcello Lunardon Francesca Mastrotto Alberto Andrighetto Antonino Tuttolomondo Rosalba Parenti Massimo Ippolito Giorgio Russo |
| author_sort | Viviana Benfante |
| collection | DOAJ |
| description | The <sup>64</sup>Cu-labeled chelator was analyzed in vivo by positron emission tomography (PET) imaging to evaluate its biodistribution in a murine model at different acquisition times. For this purpose, nine 6-week-old female Balb/C nude strain mice underwent micro-PET imaging at three different time points after <sup>64</sup>Cu-labeled chelator injection. Specifically, the mice were divided into group 1 (acquisition 1 h after [<sup>64</sup>Cu] chelator administration, n = 3 mice), group 2 (acquisition 4 h after [<sup>64</sup>Cu]chelator administration, n = 3 mice), and group 3 (acquisition 24 h after [<sup>64</sup>Cu] chelator administration, n = 3 mice). Successively, all PET studies were segmented by means of registration with a standard template space (3D whole-body Digimouse atlas), and 108 radiomics features were extracted from seven organs (namely, heart, bladder, stomach, liver, spleen, kidney, and lung) to investigate possible changes over time in [<sup>64</sup>Cu]chelator biodistribution. The one-way analysis of variance and post hoc Tukey Honestly Significant Difference test revealed that, while heart, stomach, spleen, kidney, and lung districts showed a very low percentage of radiomics features with significant variations (<i>p</i>-value < 0.05) among the three groups of mice, a large number of features (greater than 60% and 50%, respectively) that varied significantly between groups were observed in bladder and liver, indicating a different in vivo uptake of the <sup>64</sup>Cu-labeled chelator over time. The proposed methodology may improve the method of calculating the [<sup>64</sup>Cu]chelator biodistribution and open the way towards a decision support system in the field of new radiopharmaceuticals used in preclinical imaging trials. |
| first_indexed | 2024-03-09T10:32:59Z |
| format | Article |
| id | doaj.art-5e202ac6c9674075854c81b05b663494 |
| institution | Directory Open Access Journal |
| issn | 2313-433X |
| language | English |
| last_indexed | 2024-03-09T10:32:59Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Imaging |
| spelling | doaj.art-5e202ac6c9674075854c81b05b6634942023-12-01T21:07:34ZengMDPI AGJournal of Imaging2313-433X2022-03-01849210.3390/jimaging8040092A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse ModelsViviana Benfante0Alessandro Stefano1Albert Comelli2Paolo Giaccone3Francesco Paolo Cammarata4Selene Richiusa5Fabrizio Scopelliti6Marco Pometti7Milene Ficarra8Sebastiano Cosentino9Marcello Lunardon10Francesca Mastrotto11Alberto Andrighetto12Antonino Tuttolomondo13Rosalba Parenti14Massimo Ippolito15Giorgio Russo16Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, ItalyInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, ItalyRi.MED Foundation, Via Bandiera 11, 90133 Palermo, ItalyRi.MED Foundation, Via Bandiera 11, 90133 Palermo, ItalyInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, ItalyInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, ItalyNuclear Medicine Department, Cannizzaro Hospital, 95126 Catania, ItalyNuclear Medicine Department, Cannizzaro Hospital, 95126 Catania, ItalyInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, ItalyNuclear Medicine Department, Cannizzaro Hospital, 95126 Catania, ItalyDepartment of Physics and Astronomy, University of Padova, 35131 Padova, ItalyDepartment of Pharmaceutical and Pharamacological Sciences, University of Padova, 35131 Padova, ItalyLegnaro National Laboratories, National Institute of Nuclear Physics, 35020 Legnaro, ItalyDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, Molecular and Clinical Medicine, University of Palermo, 90127 Palermo, ItalyDepartment of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, ItalyNuclear Medicine Department, Cannizzaro Hospital, 95126 Catania, ItalyInstitute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), 90015 Cefalù, ItalyThe <sup>64</sup>Cu-labeled chelator was analyzed in vivo by positron emission tomography (PET) imaging to evaluate its biodistribution in a murine model at different acquisition times. For this purpose, nine 6-week-old female Balb/C nude strain mice underwent micro-PET imaging at three different time points after <sup>64</sup>Cu-labeled chelator injection. Specifically, the mice were divided into group 1 (acquisition 1 h after [<sup>64</sup>Cu] chelator administration, n = 3 mice), group 2 (acquisition 4 h after [<sup>64</sup>Cu]chelator administration, n = 3 mice), and group 3 (acquisition 24 h after [<sup>64</sup>Cu] chelator administration, n = 3 mice). Successively, all PET studies were segmented by means of registration with a standard template space (3D whole-body Digimouse atlas), and 108 radiomics features were extracted from seven organs (namely, heart, bladder, stomach, liver, spleen, kidney, and lung) to investigate possible changes over time in [<sup>64</sup>Cu]chelator biodistribution. The one-way analysis of variance and post hoc Tukey Honestly Significant Difference test revealed that, while heart, stomach, spleen, kidney, and lung districts showed a very low percentage of radiomics features with significant variations (<i>p</i>-value < 0.05) among the three groups of mice, a large number of features (greater than 60% and 50%, respectively) that varied significantly between groups were observed in bladder and liver, indicating a different in vivo uptake of the <sup>64</sup>Cu-labeled chelator over time. The proposed methodology may improve the method of calculating the [<sup>64</sup>Cu]chelator biodistribution and open the way towards a decision support system in the field of new radiopharmaceuticals used in preclinical imaging trials.https://www.mdpi.com/2313-433X/8/4/92radiomicsmicro-PET/CTmouse imagingatlas<sup>64</sup>Cu-labeled chelator |
| spellingShingle | Viviana Benfante Alessandro Stefano Albert Comelli Paolo Giaccone Francesco Paolo Cammarata Selene Richiusa Fabrizio Scopelliti Marco Pometti Milene Ficarra Sebastiano Cosentino Marcello Lunardon Francesca Mastrotto Alberto Andrighetto Antonino Tuttolomondo Rosalba Parenti Massimo Ippolito Giorgio Russo A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse Models Journal of Imaging radiomics micro-PET/CT mouse imaging atlas <sup>64</sup>Cu-labeled chelator |
| title | A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse Models |
| title_full | A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse Models |
| title_fullStr | A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse Models |
| title_full_unstemmed | A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse Models |
| title_short | A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative <sup>64</sup>Cu-Labeled Chelator in Mouse Models |
| title_sort | new preclinical decision support system based on pet radiomics a preliminary study on the evaluation of an innovative sup 64 sup cu labeled chelator in mouse models |
| topic | radiomics micro-PET/CT mouse imaging atlas <sup>64</sup>Cu-labeled chelator |
| url | https://www.mdpi.com/2313-433X/8/4/92 |
| work_keys_str_mv | AT vivianabenfante anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT alessandrostefano anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT albertcomelli anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT paologiaccone anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT francescopaolocammarata anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT selenerichiusa anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT fabrizioscopelliti anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT marcopometti anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT mileneficarra anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT sebastianocosentino anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT marcellolunardon anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT francescamastrotto anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT albertoandrighetto anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT antoninotuttolomondo anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT rosalbaparenti anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT massimoippolito anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT giorgiorusso anewpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT vivianabenfante newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT alessandrostefano newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT albertcomelli newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT paologiaccone newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT francescopaolocammarata newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT selenerichiusa newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT fabrizioscopelliti newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT marcopometti newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT mileneficarra newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT sebastianocosentino newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT marcellolunardon newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT francescamastrotto newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT albertoandrighetto newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT antoninotuttolomondo newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT rosalbaparenti newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT massimoippolito newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels AT giorgiorusso newpreclinicaldecisionsupportsystembasedonpetradiomicsapreliminarystudyontheevaluationofaninnovativesup64supculabeledchelatorinmousemodels |