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Burgard C, Engler J, Blickle A, Bartholomä M, Maus S, Schaefer-Schuler A, Khreish F, Ezziddin S, Rosar F. Change of glucometabolic activity per PSMA expression predicts survival in mCRPC patients non-responding to PSMA radioligand therapy: introducing a novel dual imaging biomarker. Front Med (Lausanne) 2024; 10:1339160. [PMID: 38298510 PMCID: PMC10827880 DOI: 10.3389/fmed.2023.1339160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/30/2023] [Indexed: 02/02/2024] Open
Abstract
Purpose The value of [18F]fluorodeoxyglucose ([18F]FDG) PET/CT in monitoring prostate-specific membrane antigen (PSMA) targeted radioligand therapy (RLT) is still unclear. The aim of this study was to identify appropriate prognostic dynamic parameters derived from baseline and follow-up [18F]FDG and dual [18F]FDG/[68Ga]Ga-PSMA-11 PET/CT for monitoring early non-responding mCRPC patients undergoing PSMA-RLT. Methods Twenty-three mCRPC patients of a prospective registry (NCT04833517), who were treated with [177Lu]Lu-PSMA-617 RLT and classified as early non-responders were included in this study. All patients received dual PET/CT imaging with [18F]FDG and [68Ga]Ga-PSMA-11 at baseline and after median two cycles of RLT. We tested potential biomarkers representing the "change of glucometabolic activity (cGA)" and "change of glucometabolic activity in relation to PSMA expression (cGAP)" composed of established parameters on [18F]FDG PET/CT as SUVmax, cumulative SUV of five lesions (SUV5), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) and its corresponding parameters on [68Ga]Ga-PSMA-11 PET/CT, respectively, for association with overall survival (OS). Results Kaplan-Meier analyses showed no significant association with OS for each tested cGA (cGASUVmaxp = 0.904, cGASUV5, p = 0.747 cGAMTVp = 0.682 and cGATLGp = 0.700), likewise the dual imaging biomarkers cGAPSUVmax (p = 0.136), cGAPSUV5 (p = 0.097), and cGAPTV (p = 0.113) failed significance. In contrast, cGAPTL, which is based on TLG and total lesion PSMA (TLP) showed a significant association with OS (p = 0.004). Low cGAPTL (cut-off 0.7) was associated with significant longer survival (17.6 vs. 12.9 months). Conclusion The novel biomarker cGAPTL, which represents the temporal change of whole-body TLG normalized by TLP, predicts overall survival in the challenging cohort of patients non-responding to PSMA-RLT.
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Affiliation(s)
- Caroline Burgard
- Department of Nuclear Medicine, Saarland University—Medical Center, Homburg, Germany
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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: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [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.
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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
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Tan Y, Fang Z, Tang Y, Liu K, Zhao H. Clinical advancement of precision theranostics in prostate cancer. Front Oncol 2023; 13:1072510. [PMID: 36816956 PMCID: PMC9932923 DOI: 10.3389/fonc.2023.1072510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/20/2023] [Indexed: 02/05/2023] Open
Abstract
Theranostic approaches with positron emission tomography/computed tomography (PET/CT) or PET/magnetic resonance imaging (PET/MRI) molecular imaging probes are being implemented clinically in prostate cancer (PCa) diagnosis and imaging-guided precision surgery. This review article provides a comprehensive summary of the rapidly expanding list of molecular imaging probes in this field, including their applications in early diagnosis of primary prostate lesions; detection of lymph node, skeletal and visceral metastases in biochemical relapsed patients; and intraoperative guidance for tumor margin detection and nerve preservation. Although each imaging probe shows preferred efficacy in some applications and limitations in others, the exploration and research efforts in this field will eventually lead to improved precision theranostics of PCa.
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Affiliation(s)
- Yue Tan
- Hengyang Medical College, University of South China, Hengyang, Hunan, China,Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhihui Fang
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China,Key Laboratory of Biological Nanotechnology of National Health Commission, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yongxiang Tang
- Department of Nuclear Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Kai Liu
- Department of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Weill Cornell Medicine, Houston TX, United States,Department of Gastrointestinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China,*Correspondence: Kai Liu, ; Hong Zhao,
| | - Hong Zhao
- Department of Systems Medicine and Bioengineering, Houston Methodist Neal Cancer Center, Weill Cornell Medicine, Houston TX, United States,*Correspondence: Kai Liu, ; Hong Zhao,
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Prognostic Value of the BIO-Ra Score in Metastatic Castration-Resistant Prostate Cancer Patients Treated with Radium-223 after the European Medicines Agency Restricted Use: Secondary Investigations of the Multicentric BIO-Ra Study. Cancers (Basel) 2022; 14:cancers14071744. [PMID: 35406515 PMCID: PMC8996965 DOI: 10.3390/cancers14071744] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/22/2022] [Accepted: 03/24/2022] [Indexed: 02/06/2023] Open
Abstract
The multicentric retrospective BIO-Ra study combined inflammatory indices from peripheral blood and clinical factors in a composite prognostic score for metastatic castration-resistant prostate cancer patients receiving Radium-223 (Ra-223). In the present study, we evaluated (i) the prognostic power of the BIO-Ra score in the framework of the restricted use of Ra-223 promoted by the European Medicines Agency in 2018; (ii) the treatment completion prediction of the BIO-Ra score. Four hundred ninety-four patients from the BIO-Ra cohort were divided into three risk classes according to the BIO-Ra score to predict the treatment completion rate (p < 0.001 among all the three groups). Patients receiving Ra-223 after restriction (89/494) were at later stages of the disease compared with the pre-restriction cohort (405/494), as a higher percentage of BIO-Ra high-risk classes (46.1% vs. 34.6%) and lower median Overall survival (12.4 vs. 23.7 months, p < 0.001) was observed. Despite this clinically relevant difference, BIO-Ra classes still predicted divergent treatment completion rates in the post-restriction subgroup (72%, 52.2%, and 46.3% of patients belonging to low-, intermediate-, and high-risk classes, respectively). Although the restricted use has increased patients at higher risk with unfavourable outcome after Ra-223 treatment, the BIO-Ra score maintains its prognostic value.
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