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De Feo MS, Frantellizzi V, Bauckneht M, Farcomeni A, Filippi L, Rizzini EL, Lavelli V, Stazza ML, Di Raimondo T, Fornarini G, Rebuzzi SE, Filippo M, Mammucci P, Marongiu A, Monari F, Rubini G, Spanu A, De Vincentis G. The DASciS Software for BSI Calculation as a Valuable Prognostic Tool in mCRPC Treated with 223RaCl2: A Multicenter Italian Study. Biomedicines 2023; 11:biomedicines11041103. [PMID: 37189721 DOI: 10.3390/biomedicines11041103] [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: 02/28/2023] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND/AIM Radium-223 dichloride (223RaCl2) represents a therapeutic option for metastatic castration-resistant prostate cancer (mCRPC) patients dealing with symptomatic bone metastases. The identification of baseline variables potentially affecting the life-prolonging role of 223RaCl2 is still ongoing. Bone scan index (BSI) defines the total load of bone metastatic disease detected on a bone scan (BS) and is expressed as a percentage value of the whole bone mass. The aim of this multicenter study was to assess the impact of baseline BSI on overall survival (OS) in mCRPC patients treated with 223RaCl2. For this purpose, the DASciS software developed by the Sapienza University of Rome for BSI calculation was shared between six Italian Nuclear Medicine Units. METHODS 370 pre-treatment BS were analyzed through the DASciS software. Other clinical variables relevant to OS analysis were taken into account for the statistical analysis. RESULTS Of a total of 370 patients, 326 subjects had died at the time of our retrospective analysis. The median OS time from the first cycle of 223RaCl2 to the date of death from any cause or last contact was 13 months (95%CI 12-14 months). The mean BSI value resulted in 2.98% ± 2.42. The center-adjusted univariate analysis showed that baseline BSI was significantly associated with OS as an independent risk factor (HR 1.137, 95%CI: 1.052-1.230, p = 0.001), meaning that patients with higher BSI values had worse OS. When adjusting for other measures on multivariate analysis, in addition to Gleason score and baseline values of Hb, tALP, and PSA, baseline BSI was confirmed to be a statistically significant parameter (HR 1.054, 95%CI: 1.040-1.068, p < 0.001). CONCLUSIONS Baseline BSI significantly predicts OS in mCRPC treated with 223RaCl2. The DASciS software was revealed to be a valuable tool for BSI calculation, showing rapid processing time and requiring no more than a single demonstrative training for each participating center.
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Affiliation(s)
- Maria Silvia De Feo
- Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy
| | - Viviana Frantellizzi
- Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy
| | - Matteo Bauckneht
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genova, Italy
- Nuclear Medicine, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Alessio Farcomeni
- Department of Economics & Finance, University of Rome "Tor Vergata", 00133 Rome, Italy
| | - Luca Filippi
- Department of Nuclear Medicine, Santa Maria Goretti Hospital, 04100 Latina, Italy
| | - Elisa Lodi Rizzini
- Radiation Oncology, IRCSS Azienza Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Valentina Lavelli
- Nuclear Medicine Section, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Maria Lina Stazza
- Unit of Nuclear Medicine, Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Tania Di Raimondo
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genova, Italy
| | - Giuseppe Fornarini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Sara Elena Rebuzzi
- Medical Oncology, Ospedale San Paolo, 17100 Savona, Italy
- Department of Internal Medicine and Medical Specialties (Di.M.I.), University of Genova, 16132 Genova, Italy
| | - Mammini Filippo
- Radiation Oncology, IRCSS Azienza Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
- Radiation Oncology, Department of Medical and Surgical Siences (DIMEC), Alma Mater Studiorum Bologna University, 40138 Bologna, Italy
| | - Paolo Mammucci
- Nuclear Medicine Section, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Andrea Marongiu
- Unit of Nuclear Medicine, Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Fabio Monari
- Radiation Oncology, IRCSS Azienza Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
- Radiation Oncology, Department of Medical and Surgical Siences (DIMEC), Alma Mater Studiorum Bologna University, 40138 Bologna, Italy
| | - Giuseppe Rubini
- Nuclear Medicine Section, Interdisciplinary Department of Medicine, University of Bari "Aldo Moro", 70124 Bari, Italy
| | - Angela Spanu
- Unit of Nuclear Medicine, Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Giuseppe De Vincentis
- Department of Radiological Sciences, Oncology and Anatomo-Pathology, Sapienza, University of Rome, 00161 Rome, Italy
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Bauckneht M, Capitanio S, Donegani MI, Zanardi E, Miceli A, Murialdo R, Raffa S, Tomasello L, Vitti M, Cavo A, Catalano F, Mencoboni M, Ceppi M, Marini C, Fornarini G, Boccardo F, Sambuceti G, Morbelli S. Role of Baseline and Post-Therapy 18F-FDG PET in the Prognostic Stratification of Metastatic Castration-Resistant Prostate Cancer (mCRPC) Patients Treated with Radium-223. Cancers (Basel) 2019; 12:cancers12010031. [PMID: 31861942 PMCID: PMC7016706 DOI: 10.3390/cancers12010031] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 12/14/2019] [Accepted: 12/17/2019] [Indexed: 12/17/2022] Open
Abstract
Radium-223 dichloride (Ra223) represents the unique bone-directed treatment option that shows an improvement in overall survival (OS) in metastatic castrate resistant prostate cancer (mCRPC). However, there is an urgent need for the identification of reliable biomarkers to non-invasively determine its efficacy (possibly improving patients’ selection or identifying responders’ after therapy completion). 18F-Fluorodeoxyglucose (FDG)-avidity is low in naïve prostate cancer, but it is enhanced in advanced and chemotherapy-refractory mCRPC, providing prognostic insights. Moreover, this tool showed high potential for the evaluation of response in cancer patients with bone involvement. For these reasons, FDG Positron Emission Tomography (FDG-PET) might represent an effective tool that is able to provide prognostic stratification (improving patients selection) at baseline and assessing the treatment response to Ra223. We conducted a retrospective analysis of 28 mCRPC patients that were treated with Ra223 and submitted to bone scan and FDG-PET/CT for prognostic purposes at baseline and within two months after therapy completion. The following parameters were measured: number of bone lesions at bone scan, SUVmax of the hottest bone lesion, metabolic tumor volume (MTV), and total lesion glycolysis (TLG). In patients who underwent post-therapy 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (FDG-PET/CT), (20/28), PET Response Criteria in Solid Tumors (PERCIST), and European Organization for Research and Treatment of Cancer (EORTC) criteria were applied to evaluate the metabolic treatment response. The difference between end of therapy and baseline values was also calculated for Metabolic Tumor Volume (MTV), TLG, prostate-specific antigen (PSA), alkaline phosphatase (AP), and lactate dehydrogenase (LDH) (termed deltaMTV, deltaTLG, deltaPSA, deltaAP and deltaLDH, respectively). Predictive power of baseline and post-therapy PET- and biochemical-derived parameters on OS were assessed by Kaplan–Meier, univariate and multivariate analyses. At baseline, PSA, LDH, and MTV significantly predicted OS. However, MTV (but not PSA nor LDH) was able to identify a subgroup of patients with worse prognosis, even after adjusting for the number of lesions at bone scan (which, in turn, was not an independent predictor of OS). After therapy, PERCIST criteria were able to capture the response to Ra223 by demonstrating longer OS in patients with partial metabolic response. Moreover, the biochemical parameters were outperformed by PERCIST in the post-treatment setting, as their variation after therapy was not informative on long term OS. The present study supports the role of FDG-PET as a tool for patient’s selection and response assessment in mCRPC patients undergoing Ra223 administration.
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Affiliation(s)
- Matteo Bauckneht
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
- Correspondence: ; Tel.: +39-0105553038; Fax: +39-0105556911
| | - Selene Capitanio
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
| | - Maria Isabella Donegani
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Elisa Zanardi
- Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (E.Z.); (L.T.); (F.B.)
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, 16132 Genoa, Italy
| | - Alberto Miceli
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Roberto Murialdo
- Internal Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy;
| | - Stefano Raffa
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Laura Tomasello
- Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (E.Z.); (L.T.); (F.B.)
| | - Martina Vitti
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Alessia Cavo
- Oncology Unit, Villa Scassi Hospital, 16149, Genova, Italy; (A.C.); (M.M.)
| | - Fabio Catalano
- Medical Oncology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (F.C.); (G.F.)
| | - Manlio Mencoboni
- Oncology Unit, Villa Scassi Hospital, 16149, Genova, Italy; (A.C.); (M.M.)
| | - Marcello Ceppi
- Clinical Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy;
| | - Cecilia Marini
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
- CNR Institute of Molecular Bioimaging and Physiology (IBFM), 20090 Segrate (MI), Italy
| | - Giuseppe Fornarini
- Medical Oncology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (F.C.); (G.F.)
| | - Francesco Boccardo
- Academic Unit of Medical Oncology, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (E.Z.); (L.T.); (F.B.)
- Department of Internal Medicine and Medical Specialties (DIMI), University of Genoa, 16132 Genoa, Italy
| | - Gianmario Sambuceti
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
| | - Silvia Morbelli
- Nuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy; (S.C.); (G.S.); (S.M.)
- Department of Health Sciences (DISSAL), University of Genova, 16132 Genoa, Italy; (M.I.D.); (A.M.); (S.R.); (M.V.); (C.M.)
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Automated Definition of Skeletal Disease Burden in Metastatic Prostate Carcinoma: A 3D Analysis of SPECT/CT Images. Cancers (Basel) 2019; 11:cancers11060869. [PMID: 31234424 PMCID: PMC6627119 DOI: 10.3390/cancers11060869] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 06/16/2019] [Accepted: 06/19/2019] [Indexed: 01/02/2023] Open
Abstract
To meet the current need for skeletal tumor-load estimation in castration-resistant prostate cancer (CRPC), we developed a novel approach based on adaptive bone segmentation. In this study, we compared the program output with existing estimates and with the radiological outcome. Seventy-six whole-body single-photon emission computed tomographies/x-ray computed tomography with 3,3-diphosphono-1,2-propanedicarboxylic acid from mCRPC patients were analyzed. The software identified the whole skeletal volume (SVol) and classified the voxels metastases (MVol) or normal bone (BVol). SVol was compared with the estimation of a commercial software. MVol was compared with manual assessment and with prostate specific antigen (PSA) levels. Counts/voxel were extracted from MVol and BVol. After six cycles of 223RaCl2-therapy every patient was re-evaluated as having progressive disease (PD), stable disease (SD), or a partial response (PR). SVol correlated with that of the commercial software (R = 0.99, p < 0.001). MVol correlated with the manually-counted lesions (R = 0.61, p < 0.001) and PSA (R = 0.46, p < 0.01). PD had a lower counts/voxel in MVol than PR/SD (715 ± 190 vs. 975 ± 215 and 1058 ± 255, p < 0.05 and p < 0.01) and BVol (PD 275 ± 60, PR 515 ± 188 and SD 528 ± 162 counts/voxel, p < 0.001). Segmentation-based tumor load correlated with radiological/laboratory indices. Uptake was linked with the clinical outcome, suggesting that metastases in PD patients have a lower affinity for bone-seeking radionuclides and might benefit less from bone-targeted radioisotope therapies.
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