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Rovera G, Grimaldi S, Oderda M, Marra G, Calleris G, Iorio GC, Falco M, Grossi C, Passera R, Campidonico G, Mangia ML, Deandreis D, Faletti R, Ricardi U, Gontero P, Morbelli S. Comparative Performance of 68Ga-PSMA-11 PET/CT and Conventional Imaging in the Primary Staging of High-Risk Prostate Cancer Patients Who Are Candidates for Radical Prostatectomy. Diagnostics (Basel) 2024; 14:1964. [PMID: 39272748 PMCID: PMC11394562 DOI: 10.3390/diagnostics14171964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2024] [Revised: 09/03/2024] [Accepted: 09/04/2024] [Indexed: 09/15/2024] Open
Abstract
This prospective study aimed to (1) compare the diagnostic performance of 68Ga-PSMA-11 PET/CT with respect to conventional imaging (computed tomography (CT) and bone scintigraphy (BS)) in the primary staging of high-risk prostate cancer (PCa) patients and (2) validate PSMA-PET/CT accuracy in pelvic nodal staging in comparison with postoperative histopathology and assess PSMA-PET/CT's impact on patient management. Sixty castration-sensitive high-risk (ISUP 4-5 and/or PSA > 20 ng/mL and/or cT3) PCa patients eligible for radical prostatectomy were enrolled (median PSA 10.10 [IQR: 6.22-17.95] ng/mL). PSMA-PET/CT, compared with CT, identified nodal (N) and/or distant metastases (M1) in 56.7% (34/60) vs. 13.3% (8/60) (p < 0.001) of patients: N + 45% vs. 13.3% (p < 0.001), M1a 11.7% vs. 1.7% (p = 0.03), M1b 23.3% vs. 1.7% (p < 0.001). Compared with BS, PSMA-PET/CT localized unknown skeletal metastases in 15% (9/60) of cases, with no false negative findings. Overall, PSMA-PET/CT led to a TNM upstaging in 45.0% (27/60) of cases, with no evidence of downstaging, resulting in a change in management in up to 28.8% (17/59) of patients. Compared with histopathology data (n = 32 patients), the per-patient accuracy of PSMA-PET/TC for detecting pelvic nodal metastases was 90.6%. Overall, the above evidence supports the use of PSMA-PET/CT in the diagnostic workup of high-risk prostate cancer staging.
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Affiliation(s)
- Guido Rovera
- Nuclear Medicine Division, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
| | - Serena Grimaldi
- Nuclear Medicine Division, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy
| | - Marco Oderda
- Urology Unit, Department of Surgical Sciences, AOU Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Turin, Italy
| | - Giancarlo Marra
- Urology Unit, Department of Surgical Sciences, AOU Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Turin, Italy
| | - Giorgio Calleris
- Urology Unit, Department of Surgical Sciences, AOU Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Turin, Italy
| | - Giuseppe Carlo Iorio
- Department of Oncology, Radiation Oncology, University of Turin, 10126 Turin, Italy
| | - Marta Falco
- Department of Oncology, Radiation Oncology, University of Turin, 10126 Turin, Italy
| | - Cristiano Grossi
- Department of Oncology, Radiation Oncology, University of Turin, 10126 Turin, Italy
| | - Roberto Passera
- Nuclear Medicine Division, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
- Nuclear Medicine Division, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy
| | - Giuseppe Campidonico
- Nuclear Medicine Division, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy
| | - Maria Luce Mangia
- Nuclear Medicine Division, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy
| | | | - Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, University of Turin, 10126 Turin, Italy
| | - Umberto Ricardi
- Department of Oncology, Radiation Oncology, University of Turin, 10126 Turin, Italy
| | - Paolo Gontero
- Urology Unit, Department of Surgical Sciences, AOU Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Turin, Italy
| | - Silvia Morbelli
- Nuclear Medicine Division, Department of Medical Sciences, University of Turin, 10126 Turin, Italy
- Nuclear Medicine Division, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy
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Francolini G, Garlatti P, Di Cataldo V, Triggiani L, Simoni N, Detti B, Lorenzetti V, Colombo F, Morelli V, Ganovelli M, Caprara L, Orsatti C, Burchini L, Frosini G, Bertini N, Loi M, Simontacchi G, Greto D, Desideri I, Meattini I, Livi L. Pattern of recurrence after stereotactic body radiotherapy for para-aortic oligo-recurrent prostate cancer, a multicentric analysis. LA RADIOLOGIA MEDICA 2023; 128:1423-1428. [PMID: 37597125 DOI: 10.1007/s11547-023-01701-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 08/09/2023] [Indexed: 08/21/2023]
Abstract
BACKGROUND M1a disease represents an intermediate status between loco-regional relapse and bone metastatic disease. Metastasis directed therapy (MDT), through stereotactic body RT (SBRT) may be offered to patients, aiming to exclusively treat sites of macroscopic relapse and avoiding wide prophylactic treatment volumes. This appears as a viable treatment, especially after the rise of PSMA tailored treatment approaches. MATERIALS AND METHODS Data about patients treated in two different institutions were retrieved from a prospectively collected dataset. All included patients were affected by oligo-recurrent M1a disease after definitive RT or radical prostatectomy, defined as ≤ 3 nodal lesions situated above aortic bifurcation and below renal arteries. Both castration resistant PCa (CRPC) and castration sensitive (CSPC) PCa patients were included. All imaging methods were allowed to detect recurrence (CT scan, Choline or PSMA PET/CT).All sites of recurrences were treated with SBRT. RESULTS Median PFS was 10 months (95% CI 8-17). Twelve patients died, with a median OS of 114 months (95% CI 85-114). Out of the 83 recurrences, 2 (2.4%), 11 (13.25%), 36 (43.37%) and 15 (18%) patients had respectively prostate bed only, pelvic nodal, para-aortic or distant relapse. Furthermore, 19 (22.9%) patients experienced a biochemical only relapse with negative imaging at re-staging. DISCUSSION MDT conferred a remarkable PFS outcome in a mixed cohort of CSPC and CRPC patients with m1a disease, with an optimal safety profile. Prospective trials are needed in order to compare MDT and ENRT for these patients, allowing to select the best treatment option.
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Affiliation(s)
- Giulio Francolini
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
| | - Pietro Garlatti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Vanessa Di Cataldo
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Luca Triggiani
- Department of Radiation Oncology, University and Spedali Civili Hospital, Brescia, Italy
| | - Nicola Simoni
- Radiotherapy Unit, Azienda Ospedaliera Universitaria, 43126, Parma, Italy
| | - Beatrice Detti
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Victoria Lorenzetti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Federico Colombo
- Radiotherapy Unit, Azienda Ospedaliera Universitaria, 43126, Parma, Italy
| | - Vittorio Morelli
- Department of Radiation Oncology, University and Spedali Civili Hospital, Brescia, Italy
| | - Michele Ganovelli
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Luisa Caprara
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Carolina Orsatti
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Luca Burchini
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Giulio Frosini
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Niccolò Bertini
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Mauro Loi
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Gabriele Simontacchi
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Daniela Greto
- Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Isacco Desideri
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Icro Meattini
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
| | - Lorenzo Livi
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", University of Florence, Florence, Italy
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Rovera G, Grimaldi S, Oderda M, Finessi M, Giannini V, Passera R, Gontero P, Deandreis D. Machine Learning CT-Based Automatic Nodal Segmentation and PET Semi-Quantification of Intraoperative 68Ga-PSMA-11 PET/CT Images in High-Risk Prostate Cancer: A Pilot Study. Diagnostics (Basel) 2023; 13:3013. [PMID: 37761380 PMCID: PMC10529304 DOI: 10.3390/diagnostics13183013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 09/16/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
High-resolution intraoperative PET/CT specimen imaging, coupled with prostate-specific membrane antigen (PSMA) molecular targeting, holds great potential for the rapid ex vivo identification of disease localizations in high-risk prostate cancer patients undergoing surgery. However, the accurate analysis of radiotracer uptake would require time-consuming manual volumetric segmentation of 3D images. The aim of this study was to test the feasibility of using machine learning to perform automatic nodal segmentation of intraoperative 68Ga-PSMA-11 PET/CT specimen images. Six (n = 6) lymph-nodal specimens were imaged in the operating room after an e.v. injection of 2.1 MBq/kg of 68Ga-PSMA-11. A machine learning-based approach for automatic lymph-nodal segmentation was developed using only open-source Python libraries (Scikit-learn, SciPy, Scikit-image). The implementation of a k-means clustering algorithm (n = 3 clusters) allowed to identify lymph-nodal structures by leveraging differences in tissue density. Refinement of the segmentation masks was performed using morphological operations and 2D/3D-features filtering. Compared to manual segmentation (ITK-SNAP v4.0.1), the automatic segmentation model showed promising results in terms of weighted average precision (97-99%), recall (68-81%), Dice coefficient (80-88%) and Jaccard index (67-79%). Finally, the ML-based segmentation masks allowed to automatically compute semi-quantitative PET metrics (i.e., SUVmax), thus holding promise for facilitating the semi-quantitative analysis of PET/CT images in the operating room.
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Affiliation(s)
- Guido Rovera
- Nuclear Medicine, Department of Medical Sciences, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy; (G.R.)
| | - Serena Grimaldi
- Nuclear Medicine, Department of Medical Sciences, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy; (G.R.)
| | - Marco Oderda
- Urology Unit, Department of Surgical Sciences, AOU Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Turin, Italy
| | - Monica Finessi
- Nuclear Medicine, Department of Medical Sciences, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy; (G.R.)
| | - Valentina Giannini
- Department of Surgical Sciences, University of Turin, 10126 Turin, Italy
| | - Roberto Passera
- Nuclear Medicine, Department of Medical Sciences, AOU Città della Salute e della Scienza di Torino, University of Turin, 10126 Turin, Italy; (G.R.)
| | - Paolo Gontero
- Urology Unit, Department of Surgical Sciences, AOU Città della Salute e della Scienza di Torino, Molinette Hospital, University of Turin, 10126 Turin, Italy
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Huang R, Li Y, Wu H, Liu B, Zhang X, Zhang Z. 68Ga-PSMA-11 PET/CT versus 68Ga-PSMA-11 PET/MRI for the detection of biochemically recurrent prostate cancer: a systematic review and meta-analysis. Front Oncol 2023; 13:1216894. [PMID: 37645433 PMCID: PMC10461474 DOI: 10.3389/fonc.2023.1216894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Accepted: 07/24/2023] [Indexed: 08/31/2023] Open
Abstract
Purpose Our aim was to conduct a meta-analysis and systematic review in order to compare the diagnostic efficacy of 68Ga-PSMA-11 PET/CT and 68Ga-PSMA-11 PET/MRI in patients with biochemically recurrent after radical prostatectomy and biochemically recurrent prostate cancers (BCR) after hybrid RT and RP. Methods Up until February 2023, we searched PubMed, Embase, and Web of Science for pertinent papers. Studies examining the utility of 68Ga-PSMA-11 PET/CT or PET/MRI as a screening tool for biochemically recurrent prostate cancer were included. To measure heterogeneity, we employed the I2 statistic. In cases of substantial heterogeneity (I2 > 50%), we used the random effect model to produce a forest plot. In other cases, we utilized the fixed model. Furthermore, we assessed the quality of the studies included using the Quality Assessment of Diagnostic Performance Studies (QUADAS-2) method. Results In total, 37 studies involving 8409 patients were examined. For 68Ga-PSMA-11 PET/CT and 68Ga-PSMA-11 PET/MRI, the combined total detection rate was 0.70 (95% CI: 0.65-0.75) and 0.71 (95% CI:0.67-0.75), respectively. 68Ga-PSMA-11 PET/CT and 68Ga-PSMA-11 PET/MRI did not substantially differ in terms of the overall detection rate for BCR (P = 0.58). The detection rate was unaffected by the PSA values (all P > 0.05). Conclusion The diagnostic efficacy of 68Ga-PSMA-11 PET/CT appears to be equivalent to that of 68Ga-PSMA-11 PET/MRI in detecting biochemically recurrent prostate cancer. Nonetheless, it should be noted that not all studies have used pathological biopsies as the gold standard. Therefore, additional larger prospective studies are needed to address this issue. Systematic review registration identifier CRD42023410039.
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Affiliation(s)
| | | | | | | | | | - Zhongxi Zhang
- The First Clinical College, Changsha Medical University, Changsha, China
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Urso L, Rocca GC, Borgia F, Lancia F, Malorgio A, Gagliano M, Zanetto M, Uccelli L, Cittanti C, Ippolito C, Evangelista L, Bartolomei M. The Role of [ 18F]F-Choline PET/CT in the Initial Management and Outcome Prediction of Prostate Cancer: A Real-World Experience from a Multidisciplinary Approach. Biomedicines 2022; 10:biomedicines10102463. [PMID: 36289724 PMCID: PMC9598779 DOI: 10.3390/biomedicines10102463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/22/2022] [Accepted: 09/28/2022] [Indexed: 12/24/2022] Open
Abstract
Initial staging of prostate cancer (PCa) is usually performed with conventional imaging (CI), involving computed tomography (CT) and bone scanning (BS). The aim of this study was to analyze the role of [18F]F-choline positron emission tomography (PET)/CT in the initial management and outcome prediction of PCa patients by analyzing data from a multidisciplinary approach. We retrospectively analyzed 82 patients who were discussed by the uro-oncology board of the University Hospital of Ferrara for primary staging newly diagnosed PCa (median age 72 (56-86) years; median baseline prostate specific antigen (PSA) equal to 8.73 ng/mL). Patients were divided into three groups based on the imaging performed: group A = only CI; group B = CI + [18F]F-choline PET/CT; group C = only [18F]F-choline PET/CT. All data on imaging findings, therapy decisions and patient outcomes were retrieved from hospital information systems. Moreover, we performed a sub-analysis of semiquantitative parameters extracted from [18F]F-choline PET/CT to search any correlation with patient outcomes. The number of patients included in each group was 35, 35 and 12, respectively. Patients with higher values of initial PSA were subjected to CI + PET/CT (p = 0.005). Moreover, the use of [18F]F-choline PET/CT was more frequent in patients with higher Gleason score (GS) or ISUP grade (p = 0.013). The type of treatment performed (surgery n = 33; radiation therapy n = 22; surveillance n = 6; multimodality therapy n = 6; systemic therapy n = 13; not available n = 2) did not show any relationship with the modality adopted to stage the disease. [18F]F-choline PET/CT induced a change of planned therapy in 5/35 patients in group B (14.3%). Moreover, patients investigated with [18F]F-choline PET/CT alone demonstrated longer biochemical recurrence (BCR)-free survival (30.8 months) in comparison to patients of groups A and B (15.5 and 23.5 months, respectively, p = 0.006), probably due to a more accurate selection of primary treatment. Finally, total lesion choline kinase activity (TLCKA) of the primary lesion, calculated by multiplying metabolic tumor volume and mean standardized uptake value (SUVmean), was able to more effectively discriminate patients who had recurrence after therapy compared to those without (p = 0.03). In our real-world experience [18F]F-choline PET/CT as a tool for the initial management of PCa had a relevant impact in terms of therapy selection and was associated with longer BCR-free survival. Moreover, TLCKA of the primary lesion looks a promising parameter for predicting recurrence after curative therapy.
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Affiliation(s)
- Luca Urso
- Department of Translational Medicine, University of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Ferrara, Italy
| | | | - Francesca Borgia
- Department of Translational Medicine, University of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Federica Lancia
- Oncology Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Antonio Malorgio
- Radiotherapy Unit, University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Mauro Gagliano
- Hospital Radiology, University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Mauro Zanetto
- Department of Translational Medicine, University of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy
| | - Licia Uccelli
- Department of Translational Medicine, University of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Corrado Cittanti
- Department of Translational Medicine, University of Ferrara, Via Aldo Moro 8, 44124 Ferrara, Italy
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Carmelo Ippolito
- Oncology Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, 44124 Ferrara, Italy
| | - Laura Evangelista
- Department of Medicine DIMED, University of Padua, 35128 Padua, Italy
- Correspondence: ; Tel.: +39-04-9821-1310; Fax: +39-04-9821-3308
| | - Mirco Bartolomei
- Nuclear Medicine Unit, Oncological Medical and Specialist Department, University Hospital of Ferrara, 44124 Ferrara, Italy
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