Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs)
Nuclear medicine has acquired a crucial role in the management of patients with neuroendocrine neoplasms (NENs) by improving the accuracy of diagnosis and staging as well as their risk stratification and personalized therapies, including radioligand therapies (RLT). Artificial intelligence (AI) and...
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| Format: | Article |
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MDPI AG
2023-07-01
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| Series: | Life |
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| Online Access: | https://www.mdpi.com/2075-1729/13/8/1647 |
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| author | Michele Balma Riccardo Laudicella Elena Gallio Sara Gusella Leda Lorenzon Simona Peano Renato P. Costa Osvaldo Rampado Mohsen Farsad Laura Evangelista Desiree Deandreis Alberto Papaleo Virginia Liberini |
| author_facet | Michele Balma Riccardo Laudicella Elena Gallio Sara Gusella Leda Lorenzon Simona Peano Renato P. Costa Osvaldo Rampado Mohsen Farsad Laura Evangelista Desiree Deandreis Alberto Papaleo Virginia Liberini |
| author_sort | Michele Balma |
| collection | DOAJ |
| description | Nuclear medicine has acquired a crucial role in the management of patients with neuroendocrine neoplasms (NENs) by improving the accuracy of diagnosis and staging as well as their risk stratification and personalized therapies, including radioligand therapies (RLT). Artificial intelligence (AI) and radiomics can enable physicians to further improve the overall efficiency and accuracy of the use of these tools in both diagnostic and therapeutic settings by improving the prediction of the tumor grade, differential diagnosis from other malignancies, assessment of tumor behavior and aggressiveness, and prediction of treatment response. This systematic review aims to describe the state-of-the-art AI and radiomics applications in the molecular imaging of NENs. |
| first_indexed | 2024-03-10T23:47:49Z |
| format | Article |
| id | doaj.art-b241a37f0be94a05a02a61f2459c9847 |
| institution | Directory Open Access Journal |
| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-03-10T23:47:49Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-b241a37f0be94a05a02a61f2459c98472023-11-19T01:53:31ZengMDPI AGLife2075-17292023-07-01138164710.3390/life13081647Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs)Michele Balma0Riccardo Laudicella1Elena Gallio2Sara Gusella3Leda Lorenzon4Simona Peano5Renato P. Costa6Osvaldo Rampado7Mohsen Farsad8Laura Evangelista9Desiree Deandreis10Alberto Papaleo11Virginia Liberini12Nuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, ItalyUnit of Nuclear Medicine, Biomedical Department of Internal and Specialist Medicine, University of Palermo, 90133 Palermo, ItalyMedical Physics Unit, A.O.U. Città Della Salute E Della Scienza Di Torino, Corso Bramante 88/90, 10126 Torino, ItalyNuclear Medicine, Central Hospital Bolzano, 39100 Bolzano, ItalyMedical Physics Department, Central Bolzano Hospital, 39100 Bolzano, ItalyNuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, ItalyUnit of Nuclear Medicine, Biomedical Department of Internal and Specialist Medicine, University of Palermo, 90133 Palermo, ItalyMedical Physics Unit, A.O.U. Città Della Salute E Della Scienza Di Torino, Corso Bramante 88/90, 10126 Torino, ItalyNuclear Medicine, Central Hospital Bolzano, 39100 Bolzano, ItalyDepartment of Biomedical Sciences, Humanitas University, 20089 Milan, ItalyDepartment of Nuclear Medicine and Endocrine Oncology, Gustave Roussy and Université Paris Saclay, 94805 Villejuif, FranceNuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, ItalyNuclear Medicine Department, S. Croce e Carle Hospital, 12100 Cuneo, ItalyNuclear medicine has acquired a crucial role in the management of patients with neuroendocrine neoplasms (NENs) by improving the accuracy of diagnosis and staging as well as their risk stratification and personalized therapies, including radioligand therapies (RLT). Artificial intelligence (AI) and radiomics can enable physicians to further improve the overall efficiency and accuracy of the use of these tools in both diagnostic and therapeutic settings by improving the prediction of the tumor grade, differential diagnosis from other malignancies, assessment of tumor behavior and aggressiveness, and prediction of treatment response. This systematic review aims to describe the state-of-the-art AI and radiomics applications in the molecular imaging of NENs.https://www.mdpi.com/2075-1729/13/8/1647neuroendocrine tumorNETmachine learningnuclear medicinetheragnosticsPET |
| spellingShingle | Michele Balma Riccardo Laudicella Elena Gallio Sara Gusella Leda Lorenzon Simona Peano Renato P. Costa Osvaldo Rampado Mohsen Farsad Laura Evangelista Desiree Deandreis Alberto Papaleo Virginia Liberini Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs) Life neuroendocrine tumor NET machine learning nuclear medicine theragnostics PET |
| title | Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs) |
| title_full | Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs) |
| title_fullStr | Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs) |
| title_full_unstemmed | Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs) |
| title_short | Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs) |
| title_sort | applications of artificial intelligence and radiomics in molecular hybrid imaging and theragnostics for neuro endocrine neoplasms nens |
| topic | neuroendocrine tumor NET machine learning nuclear medicine theragnostics PET |
| url | https://www.mdpi.com/2075-1729/13/8/1647 |
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