Artificial Intelligence and Radiomics Applications in Neuro-endocrine Neoplasms (NENs): New Tools for Molecular Hybrid Imaging and Theragnostics Approaches

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

doi:10.20944/preprints202306.0677.v1

A peer-reviewed article of this Preprint also exists.

Balma, M.; Laudicella, R.; Gallio, E.; Gusella, S.; Lorenzon, L.; Peano, S.; Costa, R.P.; Rampado, O.; Farsad, M.; Evangelista, L.; Deandreis, D.; Papaleo, A.; Liberini, V. Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs). Life 2023, 13, 1647. Balma, M.; Laudicella, R.; Gallio, E.; Gusella, S.; Lorenzon, L.; Peano, S.; Costa, R.P.; Rampado, O.; Farsad, M.; Evangelista, L.; Deandreis, D.; Papaleo, A.; Liberini, V. Applications of Artificial Intelligence and Radiomics in Molecular Hybrid Imaging and Theragnostics for Neuro-Endocrine Neoplasms (NENs). Life 2023, 13, 1647.

Abstract

In neuroendocrine neoplasms (NENs), the use of new radiopharmaceuticals has improved the accuracy of diagnosis and staging, refined surveillance approaches, and introduced specific and personalized radiation therapies. Nuclear medicine has therefore acquired a crucial role in the management of NENs patients by improving their risk stratification and personalized therapies. Artificial intelligence (AI) and radiomics can enable physicians to further improve the overall efficiency and accuracy of the use of these tools in both di-agnostic and therapeutic settings by improving the prediction of 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 on AI and radiomics applications in molecular imaging of NENs.

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Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Artificial Intelligence and Radiomics Applications in Neuro-endocrine Neoplasms (NENs): New Tools for Molecular Hybrid Imaging and Theragnostics Approaches

Abstract

Keywords

Subject

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