1
|
Nieri A, Manco L, Bauckneht M, Urso L, Caracciolo M, Donegani MI, Borgia F, Vega K, Colella A, Ippolito C, Cittanti C, Morbelli S, Sambuceti G, Turra A, Panareo S, Bartolomei M. [18F]FDG PET-TC radiomics and machine learning in the evaluation of prostate incidental uptake. Expert Rev Med Devices 2023; 20:1183-1191. [PMID: 37942630 DOI: 10.1080/17434440.2023.2280685] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/26/2023] [Indexed: 11/10/2023]
Abstract
AIM To evaluate the relevance of incidental prostate [18F]FDG uptake (IPU) and to explore the potential of radiomics and machine learning (ML) to predict prostate cancer (PCa). METHODS We retrieved [18F]FDG PET/CT scans with evidence of IPU performed in two institutions between 2015 and 2021. Patients were divided into PCa and non-PCa, according to the biopsy. Clinical and PET/CT-derived information (comprehensive of radiomic analysis) were acquired. Five ML models were developed and their performance in discriminating PCa vs non-PCa IPU was evaluated. Radiomic analysis was investigated to predict ISUP Grade. RESULTS Overall, 56 IPU were identified and 31 patients performed prostate biopsy. Eighteen of those were diagnosed as PCa. Only PSA and radiomic features (eight from CT and nine from PET images, respectively) showed statistically significant difference between PCa and non-PCa patients. Eight features were found to be robust between the two institutions. CT-based ML models showed good performance, especially in terms of negative predictive value (NPV 0.733-0.867). PET-derived ML models results were less accurate except the Random Forest model (NPV = 0.933). Radiomics could not accurately predict ISUP grade. CONCLUSIONS Paired with PSA, radiomic analysis seems to be promising to discriminate PCa/non-PCa IPU. ML could be a useful tool to identify non-PCa IPU, avoiding further investigations.
Collapse
Affiliation(s)
- Alberto Nieri
- Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Ferrara, Italy
| | - Luigi Manco
- Medical Physics Unit, Azienda USL of Ferrara, Ferrara, Italy
| | - Matteo Bauckneht
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Luca Urso
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
- Nuclear Medicine, PET/CT Centre, S. Maria della Misericordia Hospital, Rovigo, Italy
| | - Matteo Caracciolo
- Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Ferrara, Italy
| | | | - Francesca Borgia
- Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Ferrara, Italy
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Kevin Vega
- Centro Nacional de Radioterapia, Physics Unit, San Salvador, El Salvador
| | - Alessandro Colella
- Urology Unit, Surgical Department, University Hospital of Ferrara, Ferrara, Italy
| | - Carmelo Ippolito
- Urology Unit, Surgical Department, University Hospital of Ferrara, Ferrara, Italy
| | - Corrado Cittanti
- Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Ferrara, Italy
- Department of Translational Medicine, University of Ferrara, Ferrara, Italy
| | - Silvia Morbelli
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Gianmario Sambuceti
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy
| | - Alessandro Turra
- Medical Physics Unit, University Hospital of Ferrara, Cona, Italy
| | - Stefano Panareo
- Nuclear Medicine Unit, Oncology and Haematology Department, University Hospital of Modena, Modena, Italy
| | - Mirco Bartolomei
- Nuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, Ferrara, Italy
| |
Collapse
|