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Paiva B, Shi Q, Puig N, Cedena MT, Orfao A, Durie BGM, Munshi NC, San-Miguel J. Opportunities and challenges for MRD assessment in the clinical management of multiple myeloma. Nat Rev Clin Oncol 2025; 22:424-438. [PMID: 40195455 DOI: 10.1038/s41571-025-01017-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2025] [Indexed: 04/09/2025]
Abstract
Measurable residual disease (MRD) assessment is, from the methodological point of view, ready for prime time in multiple myeloma (MM). Abundant evidence underscores the value of MRD status determined using highly sensitive next-generation flow cytometry and next-generation sequencing tests in evaluating response to treatment and, therefore, prognosis in patients with this disease. MRD response assessment and monitoring might present a range of opportunities for individualized patient management. Moreover, the considerable amounts of high-quality and standardized MRD data generated in clinical trials have led to the acceptance of MRD negativity as an early end point for accelerated regulatory approval of treatments for MM. The data leave no doubt that the efficacy of new regimens in inducing deeper and durable MRD-negative responses is connected with prolonged survival. Yet, several evidential, technical and practical challenges continue to limit the implementation of MRD-guided treatment strategies in routine practice, and the use of MRD as a surrogate end point remains controversial to some. In this Review, we draw on past and present research to propose opportunities for overcoming some of these challenges, and to accelerate the use of MRD assessment for improved clinical management of patients with MM.
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Affiliation(s)
- Bruno Paiva
- Cima Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Cancer Center Clínica Universidad de Navarra, Pamplona, Spain.
| | - Qian Shi
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Noemi Puig
- Instituto de Investigación Biomédica de Salamanca (IBSAL), Centro de Investigación del Cancer (IBMCC, USAL-CSIC), CIBER-ONC number CB16/12/00233, Hospital Universitario de Salamanca, Salamanca, Spain
| | - Maria-Teresa Cedena
- Instituto de Investigación imas12, CIBER-ONC number CB16/12/00369, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Alberto Orfao
- Department of Medicine and Cytometry Service, Centro de Investigación del Cancer (IBMCC, USAL-CSIC), CIBER-ONC number CB16/12/00400, University of Salamanca, Salamanca, Spain
| | - Brian G M Durie
- Division of Hematology/Oncology, Cedars-Sinai Outpatient Cancer Center, Los Angeles, CA, USA
| | - Nikhil C Munshi
- Basic and Correlative Science, Jerome Lipper Myeloma Center, Dana-Farber Cancer Institute, Harvard Medical School, VA Boston Healthcare System, Boston, MA, USA
| | - Jesús San-Miguel
- Cima Universidad de Navarra, Instituto de Investigación Sanitaria de Navarra (IDISNA), CIBER-ONC number CB16/12/00369, Cancer Center Clínica Universidad de Navarra, Pamplona, Spain
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Aljama MA, Sidiqi HM, Gertz MA. Are we maintaining minimal residual disease in myeloma? Leuk Lymphoma 2025; 66:1001-1009. [PMID: 39835888 DOI: 10.1080/10428194.2025.2455485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 01/09/2025] [Accepted: 01/14/2025] [Indexed: 01/22/2025]
Abstract
Minimal residual disease (MRD) has emerged as an important prognostic maker in patients with multiple myeloma at different stages of their treatment. Moreover, it is being increasingly incorporated as an endpoint in various clinical trials. Since maintenance therapy is an integral part of myeloma treatment, especially in the upfront setting post autologous transplantation, it is imperative to understand the role of MRD testing in the maintenance stetting. This review aims to examine the utility and dynamics of MRD testing in order to elucidate its prognostic role and possible incorporation in clinical decision making processes.
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Affiliation(s)
| | - Hasib M Sidiqi
- Hematology Department, Fiona Stanley Hospital, Perth Western, Australia
- Curtin Medical School, Curtin University, Perth Western, Australia
| | - Morie A Gertz
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
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Kaur H, Kumar S, Watts A, Singh C, Sachdeva MUS, Sreedharanunni S, Kumar R, Malhotra P, Singh B. 68 Ga-Pentixafor PET/CT-Based Response Evaluation and its Prognostic Value in Multiple Myeloma: Comparison With IMWG and 18 F-FDG-Based Response. Clin Nucl Med 2025; 50:e331-e339. [PMID: 40051087 DOI: 10.1097/rlu.0000000000005731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2024] [Accepted: 12/20/2024] [Indexed: 05/06/2025]
Abstract
PURPOSE 68 Ga-Pentixafor PET/CT targets CXCR4 receptors and provides superior diagnostic accuracy in multiple myeloma (MM) compared with 18 F-FDG PET/CT. However, its role in response evaluation remains unexplored. We propose a 68 Ga-Pentixafor PET/CT-based response evaluation criterion and evaluate its utility compared with International Myeloma Working Group (IMWG) criteria and 18 F-FDG PET/CT-based response. PATIENTS AND METHODS In this prospective single-center study, 40 treatment-naive myeloma patients were recruited between February 2021 and April 2023. Both 68 Ga-Pentixafor and 18 F-FDG PET/CT were performed at baseline and at follow-up (7.2 mo-median). Response to treatment was evaluated using the proposed 68 Ga-Pentixafor PET/CT criteria and compared with responses assessed by IMWG and 18 F-FDG PET/CT. Progression-free survival (PFS) and overall survival (OS) were analyzed and compared using Kaplan-Meier survival curves. RESULTS Among the 40 newly diagnosed MM patients [median age: 56.5 years (IQR 45.25 to 63.75); 24 men], 68 Ga-Pentixafor PET/CT was positive in a greater proportion of patients than 18 F-FDG PET/CT [90% (36/40) vs. 67.5% (27/40); P =0.02] thus, adequately evaluated response in additional 27.5% (11/40) of cases. Using the proposed criteria for 68 Ga-Pentixafor PET/CT, significant differences in PFS were observed across response categories [complete response (CR)-not reached, partial response (PR)-26.2 mo, progressive disease (PD)-15.3 mo; P =0.001]. Among patients achieving ≥very good partial response (VGPR) as per IMWG, those with positive 68 Ga-Pentixafor PET/CT had shorter PFS compared with those with negative findings (median PFS: 34.2 mo vs. not reached; P =0.056), whereas no significant difference was noted with 18 F-FDG PET/CT ( P =0.68). In addition, on follow-up of patients with negative 18 F-FDG at the response, those with discordant 68 Ga-Pentixafor findings had significantly shorter PFS (17.73 mo vs. not reached; P =0.010) compared with those with concordant negative findings. CONCLUSIONS 68 Ga-Pentixafor PET/CT offers a more accurate assessment of treatment response and prognosis in MM patients, adding valuable information beyond the IMWG and 18 F-FDG PET/CT-based criteria.
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Affiliation(s)
| | | | | | | | | | - Sreejesh Sreedharanunni
- Hematology, Post-Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
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Gómez León N, Vicuña-Andrés I, Aguado-Bueno B, Garrido-Enjamio F, Galán-González I, Castillo-Morales V, Alegre Amor A, Delgado Bolton RC. Whole-body MRI Versus [18F]FDG PET/CT in Diagnosing and Monitoring Plasmacytomas: A Comparative Study. Clin Nucl Med 2025:00003072-990000000-01735. [PMID: 40375446 DOI: 10.1097/rlu.0000000000005954] [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: 03/01/2025] [Accepted: 04/04/2025] [Indexed: 05/18/2025]
Abstract
BACKGROUND/OBJECTIVES Current guidelines recommend [18F]FDG PET/CT as the preferred imaging modality for suspected extramedullary bone plasmacytomas, while whole-body magnetic resonance imaging (WB-MRI) is indicated for solitary bone plasmacytomas. Despite these recommendations, the available evidence comparing the diagnostic efficacy of both techniques remains limited. The aim of this study was to compare the diagnostic efficacy of WB-MRI and [18F]FDG PET/CT in the initial evaluation of plasmacytomas. METHODS We performed a multicenter, observational, and retrospective analysis of patients diagnosed with plasmacytoma who underwent WB-MRI and/or [18F]FDG PET/CT as part of their diagnostic workup. Lesions identified were categorized by anatomic location, and concordance between WB-MRI and [18F]FDG PET/CT findings was assessed. The McNemar test and Pearson χ2 test were used to compare detection rates between WB-MRI and [18F]FDG PET/CT. RESULTS The study included 73 patients (33 men) recruited between 2012 and 2023, age range 30-94 years (mean 63.4 ± 12.2 y). Of these, 56 patients underwent both diagnostic tests. Diagnoses revealed solitary plasmacytoma in 16 patients, concurrent multiple myeloma (MM) and plasmacytoma in 18 patients, and plasmacytoma in 22 patients with a prior MM history. Out of the 56 plasmacytomas, 40 were osseous and 16 were extramedullary. WB-MRI detected 98.2% of plasmacytomas compared with 83.9% for [18F]FDG PET/CT, with a statistically significant difference of OR 9 (95% CI: 1.2-394.5), P=0.021. Concordance was very high for osseous plasmacytomas but moderate for extramedullary plasmacytomas. CONCLUSIONS These findings suggest WB-MRI is an alternative to [18F]FDG PET/CT for detecting plasmacytomas. A comprehensive clinical and radiologic assessment is essential for the optimal evaluation of patients with plasmacytoma.
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Affiliation(s)
- Nieves Gómez León
- School of Medicine, Universidad Autónoma de Madrid
- Department of Radiology, Instituto de Investigación Sanitaria (IIS)-Princesa, Hospital Universitario de La Princesa
| | | | | | | | | | | | - Adrián Alegre Amor
- School of Medicine, Universidad Autónoma de Madrid
- Department of Haematology, Hospital Universitario de La Princesa
| | - Roberto C Delgado Bolton
- Department of Diagnostic Imaging (Radiology) and Nuclear Medicine, University Hospital San Pedro and Centre for Biomedical Research of La Rioja (CIBIR), Logroño, La Rioja, Spain
- Servicio Cántabro de Salud, Santander, España
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Zhang M, Cai T, Jin S, Huang X, Gao Y, Chen X, Ouyang W, Tao Y, Liu Y, Wang Y, Meng H, Li J, Lin X, Shi K, Wang J, Ding X, Mi JQ, Li B. Prognostic value of [ 18F]fluorodeoxyglucose-PET/MRI(CT) novel interpretation criteria (IMPeTUs) in multiple myeloma. Eur J Nucl Med Mol Imaging 2025:10.1007/s00259-025-07219-w. [PMID: 40175849 DOI: 10.1007/s00259-025-07219-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2024] [Accepted: 03/13/2025] [Indexed: 04/04/2025]
Abstract
PURPOSE [18F]fluorodeoxyglucose (FDG)-PET is a powerful tool to evaluate prognosis in multiple myeloma (MM). The development of systematic and reproducible standard interpretation criteria is crucial for the effective application of FDG-PET in MM. A new set of criteria-Italian Myeloma criteria for PET Use (IMPeTUs)-has standardized PET evaluation in MM. However, the prognostic value of IMPeTUs score remains unknown. METHODS A total of 58 patients with newly diagnosed multiple myeloma (NDMM) who underwent both [18F]FDG-PET/MRI and PET/CT examinations at diagnosis were enrolled (ChiCTR1900022597). All patients completed a 42-month follow-up. The prognostic value of the PET/MRI (or PET/CT) IMPeTUs score in predicting progression-free (PFS) and overall (OS) survival was compared with that of individual laboratory parameters and the maximum standardized uptake value (SUVmax). Kaplan-Meier method was used for survival analysis. Univariate and multivariate analyses of prognostic factors were conducted using Cox regression. RESULTS ROC curves demonstrated that the area under the curve for the PET/MRI IMPeTUs score was 0.760, exceeding that of the PET/CT IMPeTUs score (0.711), PET/CT BM SUVmax (0.649), PET/MRI BM SUVmax (0.575), bone marrow plasma cells (0.500), and β2-microglobulin (0.501). Univariate analysis and Kaplan-Meier analysis showed that a PET/MRI IMPeTUs score ≥ 13 and PET/CT IMPeTUs score ≥ 10 were significantly associated with worse PFS. Cox multivariate analysis showed that a PET/MRI IMPeTUs score ≥ 13 was an independent risk factor for PFS. CONCLUSION IMPeTUs standardized [18F]FDG-PET/MRI and PET/CT readings in MM. The IMPeTUs score is crucial for predicting MM prognosis, performing better than SUVmax and clinical indicators. CLINICAL TRIAL REGISTRATION ChiCTR1900022597, Registered on 18 April 2019.
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Affiliation(s)
- Miao Zhang
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Tangjia Cai
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Shiwei Jin
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinyun Huang
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Yuting Gao
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Xiaoyue Chen
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Wanyan Ouyang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yi Tao
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yuanfang Liu
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yan Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Hongping Meng
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Jian Li
- Clinical Research Center, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Xiaozhu Lin
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
| | - Kuangyu Shi
- Department of Nuclear Medicine, University of Bern, Bern, Switzerland
| | - Jin Wang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xiaoyi Ding
- Department of Interventional Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
| | - Jian-Qing Mi
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Biao Li
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
- Institute for Medical Imaging Technology, Shanghai, 200025, China.
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Gribben JG, Quintanilla‐Martinez L, Crompton S, Arends J, Bardin C, Becker H, Castinetti F, Csaba DL, D'Anastasi M, Frese T, Geissler J, Matuzeviciene R, Mayerhoefer ME, Medeiros R, Morgan K, Narbutas Š, Nier S, Ricardi U, Arjona ET, Ungan M, Warwick L, Zucca E. European Cancer Organisation Essential Requirements for Quality Cancer Care: Hematological malignancies. Hemasphere 2025; 9:e70108. [PMID: 40171519 PMCID: PMC11956721 DOI: 10.1002/hem3.70108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Revised: 02/17/2025] [Accepted: 02/20/2025] [Indexed: 04/03/2025] Open
Affiliation(s)
- John G. Gribben
- Barts Cancer InstituteQueen Mary UniversityLondonUK
- European Hematology Association (EHA)The Haguethe Netherlands
| | - Leticia Quintanilla‐Martinez
- Institute of PathologyNeuropathology and Molecular Pathology, University Hospital TübingenTübingenGermany
- European Society of Pathology (ESP)BrusselsBelgium
| | | | - Jann Arends
- Freiburg University Hospital, Department of Medicine I, Medical CenterUniversity of FreiburgFreiburgGermany
- European Society for Clinical Nutrition and Metabolism (ESPEN)LuxembourgLuxembourg
| | - Christophe Bardin
- Department of PharmacyHôpital Cochin AP‐HP Centre, Université Paris CitéParisFrance
- European Society of Oncology Pharmacy (ESOP)HamburgGermany
| | - Heiko Becker
- Medical Center, Faculty of MedicineUniversity of FreiburgFreiburgGermany
- European Organisation for Research and Treatment of Cancer (EORTC)BrusselsBelgium
| | - Frederic Castinetti
- Aix‐Marseille UniversitéMarseilleFrance
- European Society of Endocrinology (ESE)BristolUK
| | - Dégi L. Csaba
- Babeș‐Bolyai University, Faculty of Sociology and Social WorkCluj‐NapocaRomania
- International Psycho‐Oncology Society (IPOS)New YorkNew YorkUSA
| | - Melvin D'Anastasi
- Medical Imaging Department, Mater Dei HospitalUniversity of MaltaMsidaMalta
- European Society of Radiology (ESR)ViennaAustria
| | - Thomas Frese
- Institut of General Practice and Family Medicine, Medical FacultyMartin‐Luther‐University Halle‐WittenbergHalleGermany
- WONCA Europe, Institute for Development of Family MedicineLjubljanaSlovenia
| | - Jan Geissler
- Leukemia Patient Advocates Foundation (LePAF)BernSwitzerland
| | - Reda Matuzeviciene
- Vilnius University, Faculty of MedicineVilniusLithuania
- European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)MilanItaly
| | - Marius E. Mayerhoefer
- NYU Grossman School of MedicineNew YorkNew YorkUSA
- Medical University of ViennaViennaAustria
- European Society of Oncologic Imaging (ESOI)ViennaAustria
| | - Rui Medeiros
- Portuguese Oncology Institute of PortoPortoPortugal
- Association of European Cancer Leagues (ECL)BrusselsBelgium
| | - Kate Morgan
- Myeloma Patients Europe (MPE)BrusselsBelgium
| | | | - Samantha Nier
- Acute Leukemia Advocates Network (ALAN)BernSwitzerland
| | - Umberto Ricardi
- Department of OncologyUniversity of TurinTurinItaly
- European Society for Radiotherapy and Oncology (ESTRO)BrusselsBelgium
| | - Eugenia Trigoso Arjona
- Hospital Universitario y Politécnico La FeValenciaSpain
- Multinational Association of Supportive Care in Cancer (MASCC)AuroraOntarioCanada
| | | | - Lorna Warwick
- Lymphoma Coalition Europe (LCE)MississaugaOntarioCanada
| | - Emanuele Zucca
- Oncology Institute of Southern SwitzerlandBellinzonaSwitzerland
- International Extranodal Lymphoma Study Group (IELSG)BellinzonaSwitzerland
- European School of Oncology (ESO)MilanItaly
- Ente Ospedaliero CantonaleBellinzonaSwitzerland
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Talarico M, Barbato S, Cattabriga A, Sacchetti I, Manzato E, Restuccia R, Masci S, Bigi F, Puppi M, Iezza M, Rizzello I, Mancuso K, Pantani L, Tacchetti P, Nanni C, Cavo M, Zamagni E. Diagnostic Innovations: Advances in imaging techniques for diagnosis and follow-up of multiple myeloma. J Bone Oncol 2025; 51:100669. [PMID: 40124904 PMCID: PMC11930372 DOI: 10.1016/j.jbo.2025.100669] [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: 12/21/2024] [Revised: 02/18/2025] [Accepted: 02/19/2025] [Indexed: 03/25/2025] Open
Abstract
Introduction The International Myeloma Working Group (IMWG) defines myeloma related bone disease (MBD) as a diagnostic criterion for symptomatic multiple myeloma (MM) as the presence of osteolytic lesions ≥ 5 mm or more than one focal lesion (FL) ≥ 5 mm by magnetic resonance imaging (MRI). Whole-body low-dose CT (WBLDCT) is recommended as the first-choice imaging technique for the diagnosis of MBD with 18F-fluorodeoxyglucose-positron emission tomography/CT (18F-FDG-PET/CT) being considered a possible alternative at staging, whereas use of MRI studies is recommended in cases without myeloma-defining events (MDEs) in order to exclude the presence of FLs. Furthermore, use of 18F-FDG-PET/CT is recommended in response assessment, to be integrated with hematologic response and bone marrow minimal residual disease (MRD). Areas covered In this paper, we review novel functional imaging techniques in MM, particularly focusing on their advantages, limits, applications and comparisons with 18F-FDG-PET/CT or other standardized imaging techniques. Conclusions Combining both morphological and functional imaging, 18F-FDG-PET/CT is currently considered a standard imaging technique in MM for staging (despite false positive or negative results) and response assessment. The introduction of novel functional imaging techniques, as whole-body diffusion-weighted magnetic resonance imaging (WB-DWI-MRI), or novel PET tracers might be useful in overcoming these limits. Future studies will give more information on the complementarity of these imaging techniques or whether one of them might become a new gold standard in MM.
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Affiliation(s)
- M. Talarico
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - S. Barbato
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - A. Cattabriga
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
- Department of Radiology, IRCCS Azienda Ospedaliero Universitaria di Bologna 40138 Bologna, Italy
| | - I. Sacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - E. Manzato
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - R. Restuccia
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - S. Masci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - F. Bigi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - M. Puppi
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - M. Iezza
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - I. Rizzello
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - K. Mancuso
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - L. Pantani
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
| | - P. Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
| | - C. Nanni
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - M. Cavo
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - E. Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
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8
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Li WI, Ng KS, Wong WC, Ng KK, Au Yong TK, Kung BT. Serum Albumin Alters [ 18 F]FDG Activity in the Liver and Blood Pool. World J Nucl Med 2025; 24:64-70. [PMID: 39959155 PMCID: PMC11828644 DOI: 10.1055/s-0044-1795100] [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] [Indexed: 02/18/2025] Open
Abstract
Objective This study aims to investigate the correlation between the 2-deoxy-2-[ 18 F]fluoro-D-glucose ([ 18 F]FDG) activity of the liver and blood pool, and the serum albumin. Methods A retrospective analysis was conducted on adult patients who underwent [ 18 F]FDG positron emission tomography/computed tomography at the Nuclear Medicine Unit of a hospital in Hong Kong between January 1, 2023, and March 31, 2023. The mean standardized uptake value normalized to lean body mass (SULmean) was measured in the liver and blood pool. Pearson's correlation analyses between the SULmean of reference regions and serum albumin were performed. Multiple linear regression was used to analyze the effects of serum albumin and other parameters as the independent predictors on SULmean of the reference regions. Results A total of 146 patients were included, with their SULmean of the liver and blood pool showing significantly positive correlations with serum albumin ( r = 0.393, p < 0.001 and r = 0.207, p = 0.012, respectively). Multiple linear regression analyses confirmed serum albumin as an independent variable on SULmean of the liver and blood pool ( p < 0.001 and p = 0.014, respectively). Conclusion Serum albumin alters [ 18 F]FDG biodistribution in the liver and blood pool. The decrease in liver background activity in patients with low serum albumin may produce a higher false-positive rate of lesion detection, particularly when there is a drop of serum albumin in serial scans. Nuclear medicine physicians should be cautious of image interpretation.
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Affiliation(s)
- Wai Ip Li
- Nuclear Medicine Unit, Department of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Yau Ma Tei, Hong Kong
| | - Kwok Sing Ng
- Nuclear Medicine Unit, Department of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Yau Ma Tei, Hong Kong
| | - Wai Chung Wong
- Nuclear Medicine Unit, Department of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Yau Ma Tei, Hong Kong
| | - Koon Kiu Ng
- Nuclear Medicine Unit, Department of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Yau Ma Tei, Hong Kong
| | - Ting Kun Au Yong
- Nuclear Medicine Unit, Department of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Yau Ma Tei, Hong Kong
| | - Boom Ting Kung
- Nuclear Medicine Unit, Department of Diagnostic and Interventional Radiology, Queen Elizabeth Hospital, Yau Ma Tei, Hong Kong
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9
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Zugasti I, Tormo-Ratera M, Oliver-Caldés A, Soler-Perromat JC, González-Calle V, Moreno DF, Cabañas V, López-Muñoz N, Bartolomé-Solanas Á, Español-Rego M, Reguera-Ortega JL, Rosiñol L, López-Corral L, Tovar N, Rodríguez-Lobato LG, Alvarez Perez RM, Varea S, Olesti E, Gomez-Grande A, Frutos L, Tamayo P, Juan M, Moraleda JM, Urbano-Ispizua Á, González-Navarro EA, Martínez-López J, Mateos MV, Tomás X, Setoain X, Fernández de Larrea C. Clinical impact of [18F]FDG-PET/CT in ARI0002h treatment, a CAR-T against BCMA for relapsed/refractory multiple myeloma. Blood Adv 2025; 9:571-582. [PMID: 39602341 PMCID: PMC11821407 DOI: 10.1182/bloodadvances.2024014360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Revised: 10/18/2024] [Accepted: 11/04/2024] [Indexed: 11/29/2024] Open
Abstract
ABSTRACT Multiple myeloma (MM) remains incurable, with poor outcomes in heavily pretreated patients. Chimeric antigen receptor (CAR) T-cell therapy has emerged as a promising treatment; however, outcomes after such therapy in patients with soft-tissue plasmacytomas and other bone lesions remain poorly understood. This study included 63 patients with relapsed/refractory MM treated either in the CARTBCMA-HCB-01 clinical trial (ARI0002h; academic B-cell maturation antigen [BCMA]-targeted CAR T-cell therapy) or in compassionate use. The aim was to evaluate the impact of soft-tissue involvement (extramedullary [EMD] and paraskeletal [PS] plasmacytomas) in response, survival and safety. Baseline [18F]fluorodeoxyglucose (FDG)-positron emission tomography (PET)/computed tomography (CT) from 5 participating centers were reviewed centrally. Of 63 patients, 52.4% presented plasmacytomas at the time of inclusion (21 PS, exclusively; and 12 EMD). Per responses, there were no significant differences between patients with and without plasmacytomas. A correlation was present between International Myeloma Working Group responses and those obtained by [18F]FDG-PET/CT at day 100 (Bologna criteria). No differences were observed in progression-free survival (PFS) or overall survival (OS) between patients with or without plasmacytomas. However, both PFS and OS were significantly shorter in patients with EMD. Interestingly, [18F]FDG-PET/CT response assessed on day 100, in accordance with the Bologna criteria, was predictive of survival outcomes. A metabolic tumor volume of ≥25 cm3 at baseline [18F]FDG-PET/CT was associated with earlier disease progression and shorter OS. These results highlight the importance of EMD evaluation by [18F]FDG-PET/CT before and after CAR T-cell infusion. This trial was registered at www.ClinicalTrials.gov as #NCT04309981; and EudraCT, 2019-001472-11.
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Affiliation(s)
- Inés Zugasti
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Marta Tormo-Ratera
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Aina Oliver-Caldés
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
- Hospital Universitari Son Espases, Fundació Institut d'Investigació Sanitària Illes Balears, Palma de Mallorca, Mallorca, Spain
| | - Juan Carlos Soler-Perromat
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Verónica González-Calle
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Instituto Universitario de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Salamanca, Spain
| | - David F. Moreno
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Valentín Cabañas
- Hospital Clínico Universitario Virgen de la Arrixaca, IMIB Pascual Parrilla, Universidad de Murcia, Murcia, Spain
| | - Nieves López-Muñoz
- Hospital Universitario 12 de Octubre, Complutense University, i+12, Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | - Álvaro Bartolomé-Solanas
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Marta Español-Rego
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Juan Luis Reguera-Ortega
- Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (CIBERONC), Universidad de Sevilla, Sevilla, Spain
| | - Laura Rosiñol
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Lucía López-Corral
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Instituto Universitario de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Salamanca, Spain
| | - Natalia Tovar
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Luis Gerardo Rodríguez-Lobato
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Rosa Maria Alvarez Perez
- Hospital Universitario Virgen del Rocío, Instituto de Biomedicina de Sevilla (CIBERONC), Universidad de Sevilla, Sevilla, Spain
| | - Sara Varea
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Eulàlia Olesti
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Adolfo Gomez-Grande
- Hospital Universitario 12 de Octubre, Complutense University, i+12, Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | - Laura Frutos
- Hospital Clínico Universitario Virgen de la Arrixaca, IMIB Pascual Parrilla, Universidad de Murcia, Murcia, Spain
| | - Pilar Tamayo
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Instituto Universitario de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Salamanca, Spain
| | - Manel Juan
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - José M. Moraleda
- Hospital Clínico Universitario Virgen de la Arrixaca, IMIB Pascual Parrilla, Universidad de Murcia, Murcia, Spain
| | - Álvaro Urbano-Ispizua
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - E. Azucena González-Navarro
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Joaquín Martínez-López
- Hospital Universitario 12 de Octubre, Complutense University, i+12, Centro Nacional de Investigaciones Oncológicas, Madrid, Spain
| | - Maria-Victoria Mateos
- Hospital Universitario de Salamanca, Instituto de Investigación Biomédica de Salamanca, Instituto Universitario de Biología Molecular y Celular del Cáncer, Universidad de Salamanca, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Salamanca, Spain
| | - Xavier Tomás
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
| | - Xavier Setoain
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
- Biomedical Imaging Group, Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine, Barcelona, Spain
| | - Carlos Fernández de Larrea
- Hospital Clínic de Barcelona, Institut d’Investigació Biomèdica August Pi i Sunyer, Universitat de Barcelona, Barcelona, Spain
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10
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Muronova L, Soucek O, Zihala D, Sevcikova T, Popkova T, Plonkova H, Venglar O, Pour L, Stork M, Rihova L, Bezdekova R, Minarik J, Látal V, Novak M, Jungova A, Dekojova T, Straub J, Spacek M, Rezacova V, Maisnar V, Radocha J, Hajek R, Jelinek T. Real-World Evidence on Prognostic Value of MRD in Multiple Myeloma Using Flow Cytometry. Eur J Haematol 2025; 114:155-163. [PMID: 39390851 PMCID: PMC11613619 DOI: 10.1111/ejh.14316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2024] [Revised: 09/21/2024] [Accepted: 09/23/2024] [Indexed: 10/12/2024]
Abstract
Minimal residual disease (MRD) is one of the most important prognostic factors in multiple myeloma (MM) and a valid surrogate for progression-free survival (PFS) and overall survival (OS). Recently, MRD negativity was approved as an early clinical endpoint for accelerated drug approval in MM. Nevertheless, there is limited evidence of MRD utility in real-world setting. In this retrospective multicenter study, we report outcomes of 331 newly diagnosed MM patients with MRD evaluation at Day+100 after autologous stem cell transplantation using flow cytometry with a median limit of detection of 0.001%. MRD negativity was reached in 47% of patients and was associated with significantly prolonged median PFS (49.2 months vs. 18.4 months; hazard ratios (HR) = 0.37; p < 0.001) and OS (not reached vs. 74.9 months; HR = 0.50; p = 0.007). Achieving MRD negativity was associated with PFS improvements regardless of age, International Staging System (ISS) stage, lactate dedydrogenase (LDH) level, or cytogenetic risk. Importantly, MRD positive patients benefited from lenalidomide maintenance versus no maintenance (18-months PFS: 81% vs. 46%; HR = 0.24; p = 0.002) while in MRD negative patients such benefit was not observed (p = 0.747). The outcomes of our real-world study recapitulate results from clinical trials including meta-analyses and support the idea that MRD positive patients profit more from lenalidomide maintenance than MRD negative ones.
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Affiliation(s)
- Ludmila Muronova
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
- Department of Hematooncology, Faculty of MedicineUniversity of OstravaOstravaCzech Republic
| | - Ondrej Soucek
- Institute of Clinical Immunology and Allergology, Faculty of MedicineUniversity Hospital and Charles UniversityHradec KraloveCzech Republic
| | - David Zihala
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
- Department of Hematooncology, Faculty of MedicineUniversity of OstravaOstravaCzech Republic
- Department of Biology and Ecology, Faculty of ScienceUniversity of OstravaOstravaCzech Republic
| | - Tereza Sevcikova
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
- Department of Hematooncology, Faculty of MedicineUniversity of OstravaOstravaCzech Republic
- Department of Biology and Ecology, Faculty of ScienceUniversity of OstravaOstravaCzech Republic
| | - Tereza Popkova
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
- Department of Hematooncology, Faculty of MedicineUniversity of OstravaOstravaCzech Republic
| | - Hana Plonkova
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
| | - Ondrej Venglar
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
- Department of Hematooncology, Faculty of MedicineUniversity of OstravaOstravaCzech Republic
| | - Ludek Pour
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Faculty of MedicineMasaryk UniversityBrnoCzech Republic
| | - Martin Stork
- Department of Internal Medicine, Hematology and Oncology, University Hospital Brno and Faculty of MedicineMasaryk UniversityBrnoCzech Republic
| | - Lucie Rihova
- Department of Clinical HematologyUniversity Hospital BrnoBrnoCzech Republic
| | - Renata Bezdekova
- Department of Clinical HematologyUniversity Hospital BrnoBrnoCzech Republic
| | - Jiri Minarik
- Department of Hemato‐Oncology, University Hospital Olomouc and Faculty of Medicine and DentistryPalacky UniversityOlomoucCzech Republic
| | - Vojtech Látal
- Department of Hemato‐Oncology, University Hospital Olomouc and Faculty of Medicine and DentistryPalacky UniversityOlomoucCzech Republic
| | - Martin Novak
- Department of Hemato‐Oncology, University Hospital Olomouc and Faculty of Medicine and DentistryPalacky UniversityOlomoucCzech Republic
| | - Alexandra Jungova
- Hematology and Oncology DepartmentCharles University Hospital PilsenPilsenCzech Republic
| | - Tereza Dekojova
- Hematology and Oncology DepartmentCharles University Hospital PilsenPilsenCzech Republic
| | - Jan Straub
- 1st Medical Department—Clinical Department of Haematology of the First Faculty of Medicine and General Teaching Hospital Charles UniversityPragueCzech Republic
| | - Martin Spacek
- 1st Medical Department—Clinical Department of Haematology of the First Faculty of Medicine and General Teaching Hospital Charles UniversityPragueCzech Republic
| | - Vladimira Rezacova
- Institute of Clinical Immunology and Allergology, Faculty of MedicineUniversity Hospital and Charles UniversityHradec KraloveCzech Republic
| | - Vladimir Maisnar
- 4th Department of Internal Medicine—HematologyUniversity Hospital Hradec Kralove, Charles University, Faculty of Medicine in Hradec KraloveHradec KraloveCzech Republic
| | - Jakub Radocha
- 4th Department of Internal Medicine—HematologyUniversity Hospital Hradec Kralove, Charles University, Faculty of Medicine in Hradec KraloveHradec KraloveCzech Republic
| | - Roman Hajek
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
- Department of Hematooncology, Faculty of MedicineUniversity of OstravaOstravaCzech Republic
| | - Tomas Jelinek
- Department of HematooncologyUniversity Hospital OstravaOstravaCzech Republic
- Department of Hematooncology, Faculty of MedicineUniversity of OstravaOstravaCzech Republic
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11
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Nanni C, Deroose CM, Balogova S, Lapa C, Withofs N, Subesinghe M, Jamet B, Zamagni E, Ippolito D, Delforge M, Kraeber-Bodéré F. EANM guidelines on the use of [ 18F]FDG PET/CT in diagnosis, staging, prognostication, therapy assessment, and restaging of plasma cell disorders. Eur J Nucl Med Mol Imaging 2024; 52:171-192. [PMID: 39207486 PMCID: PMC11599630 DOI: 10.1007/s00259-024-06858-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 07/21/2024] [Indexed: 09/04/2024]
Abstract
We provide updated guidance and standards for the indication, acquisition, and interpretation of [18F]FDG PET/CT for plasma cell disorders. Procedures and characteristics are reported and different scenarios for the clinical use of [18F]FDG PET/CT are discussed. This document provides clinicians and technicians with the best available evidence to support the implementation of [18F]FDG PET/CT imaging in routine practice and future research.
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Affiliation(s)
- Cristina Nanni
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Christophe M Deroose
- Nuclear Medicine, University Hospitals (UZ) Leuven, 3000, Leuven, Belgium
- Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Sona Balogova
- Nuclear Medicine, Comenius University, Bratislava, Slovakia
- Médecine Nucléaire, Hôpital Tenon, GH AP.SU, Paris, France
| | - Constantin Lapa
- Nuclear Medicine, Faculty of Medicine, University of Augsburg, Augsburg, Germany
| | - Nadia Withofs
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Liege, Belgium
- GIGA-CRC in Vivo Imaging, University of Liege, Liege, Belgium
| | - Manil Subesinghe
- Department of Cancer Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Bastien Jamet
- Médecine Nucléaire, CHU Nantes, F-44000, Nantes, France
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli", Bologna, Italy.
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy.
| | - Davide Ippolito
- Department of Diagnostic Radiology, Fondazione IRCCS San Gerardo dei Tintori, Via Pergolesi 33, 20900, Monza, Italy
- University of Milano-Bicocca, School of Medicine, Via Cadore 33, 20090, Monza, Italy
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12
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Xu S, Jiao S, Guo H, Chen W, Yao S. IMPeTUs parameters correlate with clinical features in newly diagnosed multiple myeloma. Eur J Radiol Open 2024; 13:100598. [PMID: 39296251 PMCID: PMC11408006 DOI: 10.1016/j.ejro.2024.100598] [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: 06/19/2024] [Revised: 08/21/2024] [Accepted: 08/27/2024] [Indexed: 09/21/2024] Open
Abstract
Objectives To investigate the correlations between IMPeTUs-based 18 F-FDG PET/CT parameters and clinical features in patients with newly diagnosed multiple myeloma (MM). Materials and methods PET/CT were analysed according to the IMPeTUs criteria. We correlated these PET/CT parameters with known clinically relevant features, bone marrow plasma cell (BMPC) infiltration rate and the presence of cytogenetic abnormalities. Results A total of 149 patients (86 males, 63 females; mean age, 59.9 ± 9.7 years) were included. Bone marrow metabolic state correlated with the most clinical features including hemoglobin (rho=-0.23, p=0.004), FLC ratio (rho=0.24, p=0.005), β2 M (rho=0.28, p=0.001), CRP (rho=0.25, p=0.003), serum calcium (rho=0.22, p=0.02), serum creatinine (rho=0.24, p=0.004) and BMPC (rho=0.21, p=0.003). Besides, the level of hemoglobin was significant lower (0.043), and the levels of FLC ratio (0.037), β2 M (p=0.024), CRP (p=0.05), and BMPC (p=0.043) were significant higher in patients having hypermetabolism in limbs and ribs. Hottest bone lesion Deauville criteria had a moderate correlation with CRP (rho=0.27, p=0.001) and serum calcium (rho=0.25, p=0.01). Conclusion Several IMPeTUs-based PET/CT parameters showed significant correlations with clinical features reflecting disease burden and biology, suggesting that these new criteria can be used in the risk stratification in MM patients.
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Affiliation(s)
- Shuaishuai Xu
- Department of Nuclear Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Shengxiu Jiao
- Department of Nuclear Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Huimin Guo
- Department of Nuclear Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Wenkun Chen
- Department of Nuclear Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
| | - Shuzhan Yao
- Department of Nuclear Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong 250021, China
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13
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Rossi A, Cattabriga A, Bezzi D. Symptomatic Myeloma: PET, Whole-Body MR Imaging with Diffusion-Weighted Imaging or Both. PET Clin 2024; 19:525-534. [PMID: 38969566 DOI: 10.1016/j.cpet.2024.05.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024]
Abstract
According to international guidelines, patients with suspected myeloma should primarily undergo low-dose whole-body computed tomography (CT) for diagnostic purposes. To optimize sensitivity and specificity and enable treatment response assessment, whole-body MR (WB-MR) imaging should include diffusion-weighted imaging with apparent diffusion coefficient maps and T1-weighted Dixon sequences with bone marrow Fat Fraction Quantification. At baseline WB-MR imaging shows greater sensitivity for the detecting focal lesions and diffuse bone marrow infiltration pattern than 18F-fluorodeoxyglucose PET-CT, which is considered of choice for evaluating response to treatment and minimal residual disease and imaging of extramedullary disease.
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Affiliation(s)
- Alice Rossi
- Radiology Unit, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) "Dino Amadori", Meldola, Italy
| | - Arrigo Cattabriga
- Department of Radiology, IRCCS Azienda Ospedaliero-Universitaria di Bologna; Dipartimento di Scienze Mediche e Chirurgiche, Via Massarenti 9, 40138 Bologna, Italy
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14
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Kaiser M, Goh V, Stern S, Spencer N, Rabin N, Ramasamy K, Lawless S, Soutar R, Ashcroft J, Pratt G, Messiou C, Bygrave C. Advanced imaging for earlier diagnosis and morbidity prevention in multiple myeloma: A British Society of Haematology and UK Myeloma Society Good Practice Paper. Br J Haematol 2024; 205:1319-1325. [PMID: 39248274 DOI: 10.1111/bjh.19716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Accepted: 08/08/2024] [Indexed: 09/10/2024]
Abstract
This Good Practice Paper provides recommendations for the use of advanced imaging for earlier diagnosis and morbidity prevention in multiple myeloma. It describes how advanced imaging contributes to optimal healthcare resource utilisation by in newly diagnosed and relapsed myeloma, and provides a perspective on future directions of myeloma imaging, including machine learning assisted reporting.
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Affiliation(s)
- Martin Kaiser
- Department of Haematology, The Royal Marsden Hospital, London, UK
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Vicky Goh
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Radiology, Guy's & St Thomas' Hospitals, London, UK
| | - Simon Stern
- Epsom and St Helier University Hospitals NHS Trust, Epsom, UK
| | - Nicholas Spencer
- Department of Radiology, Mid Yorkshire Teaching NHS Trust, Wakefield, UK
| | - Neil Rabin
- University College Hospitals, London, UK
| | - Karthik Ramasamy
- Department of Haematology, Oxford University Hospitals NHS Trust, Oxford, UK
| | | | - Richard Soutar
- Department of Haematology, Gartnavel General Hospital/Beatson Oncology Centre, Glasgow, UK
| | - John Ashcroft
- Department of Haematology, Mid-Yorkshire Teaching Hospitals Trust, Wakefield, UK
| | - Guy Pratt
- University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Christina Messiou
- Department of Radiology, The Royal Marsden Hospital and Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK
| | - Ceri Bygrave
- Department of Haematology, University Hospital of Wales, Cardiff, UK
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15
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Wray R, Mauguen A, Michaud L, Leithner D, Yeh R, Riaz N, Mirtcheva R, Sherman E, Wong R, Humm J, Lee N, Schöder H. Development of 18F-Fluoromisonidazole Hypoxia PET/CT Diagnostic Interpretation Criteria and Validation of Interreader Reliability, Reproducibility, and Performance. J Nucl Med 2024; 65:1526-1532. [PMID: 39266287 PMCID: PMC11448606 DOI: 10.2967/jnumed.124.267775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/23/2024] [Indexed: 09/14/2024] Open
Abstract
Tumor hypoxia, an integral biomarker to guide radiotherapy, can be imaged with 18F-fluoromisonidazole (18F-FMISO) hypoxia PET. One major obstacle to its broader application is the lack of standardized interpretation criteria. We sought to develop and validate practical interpretation criteria and a dedicated training protocol for nuclear medicine physicians to interpret 18F-FMISO hypoxia PET. Methods: We randomly selected 123 patients with human papillomavirus-positive oropharyngeal cancer enrolled in a phase II trial who underwent 123 18F-FDG PET/CT and 134 18F-FMISO PET/CT scans. Four independent nuclear medicine physicians with no 18F-FMISO experience read the scans. Interpretation by a fifth nuclear medicine physician with over 2 decades of 18F-FMISO experience was the reference standard. Performance was evaluated after initial instruction and subsequent dedicated training. Scans were considered positive for hypoxia by visual assessment if 18F-FMISO uptake was greater than floor-of-mouth uptake. Additionally, SUVmax was determined to evaluate whether quantitative assessment using tumor-to-background ratios could be helpful to define hypoxia positivity. Results: Visual assessment produced a mean sensitivity and specificity of 77.3% and 80.9%, with fair interreader agreement (κ = 0.34), after initial instruction. After dedicated training, mean sensitivity and specificity improved to 97.6% and 86.9%, with almost perfect agreement (κ = 0.86). Quantitative assessment with an estimated best SUVmax ratio threshold of more than 1.2 to define hypoxia positivity produced a mean sensitivity and specificity of 56.8% and 95.9%, respectively, with substantial interreader agreement (κ = 0.66), after initial instruction. After dedicated training, mean sensitivity improved to 89.6% whereas mean specificity remained high at 95.3%, with near-perfect interreader agreement (κ = 0.86). Conclusion: Nuclear medicine physicians without 18F-FMISO hypoxia PET reading experience demonstrate much improved interreader agreement with dedicated training using specific interpretation criteria.
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Affiliation(s)
- Rick Wray
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Audrey Mauguen
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Laure Michaud
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Doris Leithner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Randy Yeh
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nadeem Riaz
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Rosna Mirtcheva
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Eric Sherman
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Richard Wong
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York; and
| | - John Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nancy Lee
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Heiko Schöder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York;
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16
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Sachpekidis C, Enqvist O, Ulén J, Kopp-Schneider A, Pan L, Mai EK, Hajiyianni M, Merz M, Raab MS, Jauch A, Goldschmidt H, Edenbrandt L, Dimitrakopoulou-Strauss A. Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [ 18F]FDG PET/CT predicts survival in multiple myeloma. Eur J Nucl Med Mol Imaging 2024; 51:2293-2307. [PMID: 38456971 PMCID: PMC11178614 DOI: 10.1007/s00259-024-06668-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 02/25/2024] [Indexed: 03/09/2024]
Abstract
PURPOSE Multiple myeloma (MM) is a highly heterogeneous disease with wide variations in patient outcome. [18F]FDG PET/CT can provide prognostic information in MM, but it is hampered by issues regarding standardization of scan interpretation. Our group has recently demonstrated the feasibility of automated, volumetric assessment of bone marrow (BM) metabolic activity on PET/CT using a novel artificial intelligence (AI)-based tool. Accordingly, the aim of the current study is to investigate the prognostic role of whole-body calculations of BM metabolism in patients with newly diagnosed MM using this AI tool. MATERIALS AND METHODS Forty-four, previously untreated MM patients underwent whole-body [18F]FDG PET/CT. Automated PET/CT image segmentation and volumetric quantification of BM metabolism were based on an initial CT-based segmentation of the skeleton, its transfer to the standardized uptake value (SUV) PET images, subsequent application of different SUV thresholds, and refinement of the resulting regions using postprocessing. In the present analysis, ten different uptake thresholds (AI approaches), based on reference organs or absolute SUV values, were applied for definition of pathological tracer uptake and subsequent calculation of the whole-body metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Correlation analysis was performed between the automated PET values and histopathological results of the BM as well as patients' progression-free survival (PFS) and overall survival (OS). Receiver operating characteristic (ROC) curve analysis was used to investigate the discrimination performance of MTV and TLG for prediction of 2-year PFS. The prognostic performance of the new Italian Myeloma criteria for PET Use (IMPeTUs) was also investigated. RESULTS Median follow-up [95% CI] of the patient cohort was 110 months [105-123 months]. AI-based BM segmentation and calculation of MTV and TLG were feasible in all patients. A significant, positive, moderate correlation was observed between the automated quantitative whole-body PET/CT parameters, MTV and TLG, and BM plasma cell infiltration for all ten [18F]FDG uptake thresholds. With regard to PFS, univariable analysis for both MTV and TLG predicted patient outcome reasonably well for all AI approaches. Adjusting for cytogenetic abnormalities and BM plasma cell infiltration rate, multivariable analysis also showed prognostic significance for high MTV, which defined pathological [18F]FDG uptake in the BM via the liver. In terms of OS, univariable and multivariable analysis showed that whole-body MTV, again mainly using liver uptake as reference, was significantly associated with shorter survival. In line with these findings, ROC curve analysis showed that MTV and TLG, assessed using liver-based cut-offs, could predict 2-year PFS rates. The application of IMPeTUs showed that the number of focal hypermetabolic BM lesions and extramedullary disease had an adverse effect on PFS. CONCLUSIONS The AI-based, whole-body calculations of BM metabolism via the parameters MTV and TLG not only correlate with the degree of BM plasma cell infiltration, but also predict patient survival in MM. In particular, the parameter MTV, using the liver uptake as reference for BM segmentation, provides solid prognostic information for disease progression. In addition to highlighting the prognostic significance of automated, global volumetric estimation of metabolic tumor burden, these data open up new perspectives towards solving the complex problem of interpreting PET scans in MM with a simple, fast, and robust method that is not affected by operator-dependent interventions.
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Affiliation(s)
- Christos Sachpekidis
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany.
| | - Olof Enqvist
- Eigenvision AB, Malmö, Sweden
- Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | | | | | - Leyun Pan
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
| | - Elias K Mai
- Department of Internal Medicine V, University Hospital Heidelberg and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Marina Hajiyianni
- Department of Internal Medicine V, University Hospital Heidelberg and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Maximilian Merz
- Department of Hematology and Cell Therapy, University of Leipzig, Leipzig, Germany
| | - Marc S Raab
- Department of Internal Medicine V, University Hospital Heidelberg and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Anna Jauch
- Institute of Human Genetics, University of Heidelberg, Heidelberg, Germany
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University Hospital Heidelberg and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Lars Edenbrandt
- Department of Clinical Physiology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Antonia Dimitrakopoulou-Strauss
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69210, Heidelberg, Germany
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17
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Zanwar S, Sidana S, Shune L, Puglianini OC, Pasvolsky O, Gonzalez R, Dima D, Afrough A, Kaur G, Davis JA, Herr M, Hashmi H, Forsberg P, Sborov D, Anderson LD, McGuirk JP, Wagner C, Lieberman-Cribbin A, Rossi A, Freeman CL, Locke FL, Richard S, Khouri J, Lin Y, Patel KK, Kumar SK, Hansen DK. Impact of extramedullary multiple myeloma on outcomes with idecabtagene vicleucel. J Hematol Oncol 2024; 17:42. [PMID: 38845015 PMCID: PMC11157748 DOI: 10.1186/s13045-024-01555-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 05/06/2024] [Indexed: 06/09/2024] Open
Abstract
Idecabtagene vicleucel (Ide-cel) has demonstrated excellent efficacy and durable responses in patients with relapsed/refractory multiple myeloma (RRMM). However, the outcomes with ide-cel in patients with extramedullary disease (EMD) remain incompletely characterized. We included patients with RRMM treated with ide-cel between May 2021 and April 2023 across 11 US academic institutions. Visceral or soft tissue lesions non-contiguous from bone was classified as EMD. Time-to-event analyses were performed from date of ide-cel infusion. Among 351 patients, 84 (24%) had EMD prior to infusion. The median follow-up from ide-cel infusion was 18.2 months (95% CI: 17-19.3). The day 90 overall response rates (ORR) were 52% vs. 82% for the EMD and non-EMD cohorts, respectively (p < 0.001). The median progression-free survival (PFS) was 5.3 months (95% CI: 4.1-6.9) for the EMD cohort vs. 11.1 months (95% CI: 9.2-12.6; p < 0.0001) for the non-EMD cohort. In a multivariable analysis, EMD was an independent predictor of inferior PFS [hazard ratio 1.5 (1.1-2.2), p = 0.02]. The median overall survival was 14.8 months [95% CI: 9-Not reached (NR)] vs. 26.9 months (26.3 vs. NR, p = 0.006) for the EMD and non-EMD cohorts, respectively. Extramedullary disease represents an independent predictor of inferior day 90 ORR and PFS among patients treated with ide-cel.
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Affiliation(s)
- Saurabh Zanwar
- Division of Hematology, Department of Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Surbhi Sidana
- Stanford University School of Medicine, Stanford, CA, USA
| | - Leyla Shune
- The University of Kansas Medical Center, Kansas City, KS, USA
| | - Omar Castaneda Puglianini
- Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Oren Pasvolsky
- Department of Lymphoma/Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rebecca Gonzalez
- Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Danai Dima
- Cleveland Clinic Taussig Cancer Center, Cleveland, OH, USA
| | - Aimaz Afrough
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - Gurbakhash Kaur
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | - James A Davis
- Medical University of South Carolina, Charleston, SC, USA
| | - Megan Herr
- Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Hamza Hashmi
- Medical University of South Carolina, Charleston, SC, USA
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Peter Forsberg
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Douglas Sborov
- The University of Utah Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Larry D Anderson
- UT Southwestern Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, USA
| | | | - Charlotte Wagner
- The University of Utah Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Alex Lieberman-Cribbin
- Department of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adriana Rossi
- Department of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ciara L Freeman
- Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Frederick L Locke
- Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | - Shambavi Richard
- Department of Medicine, Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Jack Khouri
- Cleveland Clinic Taussig Cancer Center, Cleveland, OH, USA
| | - Yi Lin
- Division of Hematology, Department of Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA
| | - Krina K Patel
- Department of Lymphoma/Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Shaji K Kumar
- Division of Hematology, Department of Medicine, Mayo Clinic, 200 1st St SW, Rochester, MN, 55905, USA.
| | - Doris K Hansen
- Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer Center, Tampa, FL, USA.
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18
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Piscopo L, Scaglione M, Klain M. Artificial intelligence-based application in multiple myeloma. Eur J Nucl Med Mol Imaging 2024; 51:1923-1925. [PMID: 38587646 DOI: 10.1007/s00259-024-06711-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Affiliation(s)
- Leandra Piscopo
- Radiology Department of Surgery, Medicine and Pharmacy, University of Sassari, Sassari, Italy.
| | - Mariano Scaglione
- Radiology Department of Surgery, Medicine and Pharmacy, University of Sassari, Sassari, Italy
| | - Michele Klain
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
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19
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Marchiori S, Cousin F, Papadopoulos I, Bernard C, Thys M, De Prijck B, Pirotte M, Donneau AF, Hustinx R, Caers J, Withofs N. Prognostic value of visual IMPeTUs criteria and metabolic tumor burden at baseline [ 18F]FDG PET/CT in patients with newly diagnosed multiple myeloma. EJNMMI Res 2024; 14:51. [PMID: 38806885 PMCID: PMC11133264 DOI: 10.1186/s13550-024-01113-6] [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: 04/05/2024] [Accepted: 05/22/2024] [Indexed: 05/30/2024] Open
Abstract
BACKGROUND 2-[18F]fluoro-2-deoxy-D-glucose ([18F]FDG) positron emission tomography combined with low-dose computed tomography (PET/CT) can be used at diagnosis to identify myeloma-defining events and also provides prognostic factors. The aim of this study was to assess the prognostic significance of baseline [18F]FDG PET/CT visual IMPeTUs (Italian myeloma criteria for PET Use)-based parameters and/or total metabolic tumor volume (TMTV) in a single-center population of patients with newly diagnosed multiple myeloma (NDMM) eligible for transplantation. METHODS Patients with MM who underwent a baseline [18F]FDG PET/CT were retrospectively selected from a large internal database of the University Hospital of Liege (Liege, Belgium). Initially, all PET/CT images were visually analyzed using IMPeTUs criteria, followed by delineation of TMTV using a semi-automatic lesion delineation workflow, including [18F]FDG-positive MM focal lesions (FL) with an absolute SUV threshold set at 4.0. In a first step, to ensure PET/CT scans accurate reporting, the agreement between two nuclear medicine physicians with distinct experience was assessed. In the second step, univariable and multivariable analyses were conducted to determine the prognostic significance of [18F]FDG PET/CT parameters on progression free survival (PFS) and overall survival (OS), respectively. RESULTS A total of 40 patients with NDMM were included in the study. The observers agreement in the analysis [18F]FDG PET/CT images was substantial for the presence of spine FL, extra spine FL, at least one fracture and paramedullary disease (Cohen's kappa 0.79, 0.87, 0.75 and 0.64, respectively). For the presence of skull FL and extramedullary disease the agreement was moderate (Cohen's kappa 0.56 and 0.53, respectively). Among [18F]FDG PET/CT parameters, a high number of delineated volumes of interest (VOI) using the SUV4.0 threshold was the only independent prognostic factor associated with PFS [HR (95% CI): 1.03 (1.004-1.05), P = 0.019] while a high number of FL (n > 10; F group 4) was the only independent prognostic factor associated with OS [HR (95% CI): 19.10 (1.90-191.95), P = 0.01]. CONCLUSION Our work confirms the reproducibility IMPeTUs criteria. Furthermore, it demonstrates that a high number of FL (n > 10; IMPeTUs F group 4), reflecting a high [18F]FDG-avid tumor burden, is an independent prognostic factor for OS. The prognostic value of the TMTV delineated using a SUV4.0 threshold was not significant. Nevertheless, the count of delineated [18F]FDG-avid lesions VOI using a SUV4.0 threshold was an independent prognostic factor for PFS.
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Affiliation(s)
- Silvano Marchiori
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Liège, Belgium.
| | - François Cousin
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Liège, Belgium
| | - Iraklis Papadopoulos
- Biostatistics and Research Methods Center (B-STAT), University of Liege, Liège, Belgium
| | - Claire Bernard
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Liège, Belgium
| | - Marie Thys
- Medico-Economic Information Department / Data Analysis, CHU of Liège, Liège, Belgium
| | | | | | | | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Liège, Belgium
- GIGA-CRC in Vivo Imaging, University of Liege, Liège, Belgium
| | - Jo Caers
- Department of Hematology, CHU de Liège, Liège, Belgium
- Laboratory of Hematology, GIGA I3, University of Liège, Liège, Belgium
| | - Nadia Withofs
- Division of Nuclear Medicine and Oncological Imaging, Department of Medical Physics, CHU of Liege, Liège, Belgium
- GIGA-CRC in Vivo Imaging, University of Liege, Liège, Belgium
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20
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Ikeda D, Terao T, Oura M, Uehara A, Tabata R, Narita K, Takeuchi M, Machida Y, Matsue K. Analysis of baseline circulating tumor cells integrated with PET/CT findings in transplant-ineligible multiple myeloma. Blood Adv 2024; 8:37-46. [PMID: 38150271 PMCID: PMC10784675 DOI: 10.1182/bloodadvances.2023011890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 11/06/2023] [Indexed: 12/28/2023] Open
Abstract
ABSTRACT We aimed to improve prognostic predictors in patients with transplant-ineligible multiple myeloma (TIE-MM) by combining baseline circulating clonal tumor cells (CTCs) and positron emission tomography/computed tomography (PET/CT) findings. The factors associated with prognosis were retrospectively investigated in 126 patients with TIE-MM who underwent CTC quantification by multiparameter flow cytometry and PET/CT at the initial presentation. The total lesion glycolysis (TLG) level was calculated using the Metavol software. The median percentage of CTC was 0.06% (range, 0%-4.82%), and 54 patients (42.9%) demonstrated high CTC levels. High CTC levels were associated with significantly poorer progression-free survival (PFS, 2-year 43.4% vs 68.1%; P < .001) and overall survival (OS, 5-year 39.0% vs 68.3%; P < .001). Similarly, high TLG levels significantly worsened the PFS (2-year, 41.2% vs 67.6%; P = .038) and OS (5-year, 37.7% vs 63.1%; P = .019). The multivariate analyses showed that Revised International Staging System (R-ISS) III, high CTC and TLG levels, and complete response were significant prognostic factors for PFS and OS. A novel predictive model was constructed using CTCs, TLG, and R-ISS III. The patients were stratified into 3 groups according to the number of risk factors, revealing an extremely high-risk group with a 2-year PFS of 0% and a 5-year OS of 20%. Patients without any high-risk features had better prognosis, with a 2-year PFS of 78.6% and a 5-year OS of 79.5%. The combination of CTCs and volumetric assessment of PET/CT at diagnosis augments the existing stratification systems and may pave the way for a risk-adapted treatment approach.
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Affiliation(s)
- Daisuke Ikeda
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Toshiki Terao
- Department of Hematology and Oncology, Okayama University Hospital, Okayama, Japan
| | - Mitsuaki Oura
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Atsushi Uehara
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Rikako Tabata
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Kentaro Narita
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Masami Takeuchi
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
| | - Youichi Machida
- Department of Radiology, Kameda Medical Center, Chiba, Japan
| | - Kosei Matsue
- Division of Hematology/Oncology, Department of Medicine, Kameda Medical Center, Chiba, Japan
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21
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Rodríguez-Laval V, Lumbreras-Fernández B, Aguado-Bueno B, Gómez-León N. Imaging of Multiple Myeloma: Present and Future. J Clin Med 2024; 13:264. [PMID: 38202271 PMCID: PMC10780302 DOI: 10.3390/jcm13010264] [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: 10/18/2023] [Revised: 12/18/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Multiple myeloma (MM) is the second most common adult hematologic malignancy, and early intervention increases survival in asymptomatic high-risk patients. Imaging is crucial for the diagnosis and follow-up of MM, as the detection of bone and bone marrow lesions often dictates the decision to start treatment. Low-dose whole-body computed tomography (CT) is the modality of choice for the initial assessment, and dual-energy CT is a developing technique with the potential for detecting non-lytic marrow infiltration and evaluating the response to treatment. Magnetic resonance imaging (MRI) is more sensitive and specific than 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) for the detection of small focal lesions and diffuse marrow infiltration. However, FDG-PET/CT is recommended as the modality of choice for follow-up. Recently, diffusion-weighted MRI has become a new technique for the quantitative assessment of disease burden and therapy response. Although not widespread, we address current proposals for structured reporting to promote standardization and diminish variations. This review provides an up-to-date overview of MM imaging, indications, advantages, limitations, and recommended reporting of each technique. We also cover the main differential diagnosis and pitfalls and discuss the ongoing controversies and future directions, such as PET-MRI and artificial intelligence.
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Affiliation(s)
- Víctor Rodríguez-Laval
- Department of Radiology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, Spain; (B.L.-F.); (N.G.-L.)
- Department of Medicine, Autonomous University of Madrid, Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain
| | - Blanca Lumbreras-Fernández
- Department of Radiology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, Spain; (B.L.-F.); (N.G.-L.)
| | - Beatriz Aguado-Bueno
- Department of Hematology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, Spain;
| | - Nieves Gómez-León
- Department of Radiology, University Hospital La Princesa, IIS-Princesa, Calle Diego de León 62, 28005 Madrid, Spain; (B.L.-F.); (N.G.-L.)
- Department of Medicine, Autonomous University of Madrid, Calle del Arzobispo Morcillo 4, 28029 Madrid, Spain
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22
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Bostankolu Değirmenci B, Yegin ZA, Akdemir ÜÖ, Dede A, Gündem GG, Özkurt ZN, Atay LÖ, Yağcı M. Clinical factors associated with autologous stem cell transplantation outcomes in multiple myeloma: upfront transplant with MEL200 remains the standard of care. Ann Hematol 2024; 103:269-283. [PMID: 37880484 DOI: 10.1007/s00277-023-05511-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023]
Abstract
Autologous stem cell transplantation (ASCT) remains the mainstay of the treatment in newly diagnosed transplant-eligible multiple myeloma (MM) patients. This retrospective study was performed to investigate the potential prognostic markers which may modify transplant course in a total of 256 ASCT recipients [median age: 58 (30-74) years; male/female: 138/118], including pretransplant (PET0) and day + 60 (PET2) PET/CT assessments and comparative analysis of melphalan (Mel) dose. Better responses with significantly higher complete response/very good partial response rates were achieved in patients who proceeded to transplant within 301 days from diagnosis (p < 0.001). Patients who had received < 1.5 lines of treatment prior to transplant had significantly higher probability of overall survival (OS) (p = 0.004) and progression-free survival (PFS) (p < 0.001). The probability of OS was significantly higher in patients with low Eastern Cooperative Oncology Group (ECOG) performance score (PS = 0-1) (p = 0.003) and HCT-Comorbidity Index (HCT-CI = 0) (p = 0.011). The number of involved areas (p = 0.028) and maximum standardized uptake value (SUVmax) (p = 0.021) in PET0 represented significant impact on OS. The probabilities of OS (p < 0.001) and PFS (p = 0.01) were significantly better with Mel200 mg/m2 conditioning compared to Mel140 mg/m2. Conditioning with Mel200 mg/m2, early and upfront ASCT and low pretransplant treatment burden were found to be significantly associated with ASCT outcome in MM patients. Despite its predictor impact on survival and prognosis, further studies are warranted to standardize PET/CT-based response assessments before being used as a guide for treatment decisions in clinical practice.
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Affiliation(s)
| | - Zeynep Arzu Yegin
- Department of Hematology, Gazi University Faculty of Medicine, Ankara, Turkey.
| | - Ümit Özgür Akdemir
- Department of Nuclear Medicine, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Ali Dede
- Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Gonca Gül Gündem
- Department of Internal Medicine, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Zübeyde Nur Özkurt
- Department of Hematology, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Lütfiye Özlem Atay
- Department of Nuclear Medicine, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Münci Yağcı
- Department of Hematology, Gazi University Faculty of Medicine, Ankara, Turkey
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23
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Wellman TJ, Mudd SR, Godby KN, Wooten DW, Ross JA, Bueno OF, Wanik D, Divgi CR, Comley RA, Costa LJ, Hesterman JY. Evaluation of a semi-automated approach for FDG PET image analysis for routine clinical application in patients with multiple myeloma. Transl Oncol 2023; 37:101767. [PMID: 37657154 PMCID: PMC10495672 DOI: 10.1016/j.tranon.2023.101767] [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: 05/22/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 09/03/2023] Open
Abstract
BACKGROUND FDG PET/CT is a tool for assessing response to therapy in various cancers, and may provide an earlier biomarker of clinical response. We developed a novel semi-automated approach for analyzing FDG PET/CT images in patients with multiple myeloma (MM) to standardize FDG PET application. METHODS Patients (n = 8) with relapsed/refractory MM from the Phase 2 study (NCT02899052) of venetoclax plus carfilzomib and dexamethasone underwent FDG PET/CT at baseline and up to two timepoints during treatment. Images were processed using an established automated segmentation algorithm, with the modification that a red marrow region in an unaffected lumbar vertebra was used to define background standardized uptake value normalized to lean body mass (SUL) threshold above which uptake was considered disease-specific uptake. This approach was compared to lesion segmentation, and to International Myeloma Working Group (IMWG) response criteria, including minimal residual disease (MRD). RESULTS The two FDG PET analysis techniques agreed on evaluation of patient-level SULpeak for 67% of scans. In the metabolic response assessment per PET Response Criteria in Solid Tumors (PERCIST), the two techniques agreed in 75% of patients. Differences between techniques occurred in low-uptake lesions due to greater reader sensitivity to lesions with uptake marginally above background. PERCIST outcomes were generally in agreement with IMWC and MRD. CONCLUSIONS This semi-automated analysis was in high agreement with standard approaches for detecting response to MM therapy. This proof-of-concept study suggests that larger studies should be conducted to confirm how FDG PET analysis may aid early response detection in MM.
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Affiliation(s)
- Tyler J Wellman
- Invicro, a Konica Minolta Company, 119 4th Ave, Needham Heights, MA 02494, USA
| | - Sarah R Mudd
- AbbVie, Inc., 1 North Waukegan Rd, North Chicago, IL 60064, USA
| | - Kelly N Godby
- The University of Alabama at Birmingham School of Medicine, 1670 University Blvd, Birmingham, AL 35233, USA
| | - Dustin W Wooten
- AbbVie, Inc., 1 North Waukegan Rd, North Chicago, IL 60064, USA
| | - Jeremy A Ross
- AbbVie, Inc., 1 North Waukegan Rd, North Chicago, IL 60064, USA
| | - Orlando F Bueno
- AbbVie, Inc., 1 North Waukegan Rd, North Chicago, IL 60064, USA
| | - Danielle Wanik
- Invicro, a Konica Minolta Company, 119 4th Ave, Needham Heights, MA 02494, USA
| | - Chaitanya R Divgi
- Invicro, a Konica Minolta Company, 119 4th Ave, Needham Heights, MA 02494, USA
| | - Robert A Comley
- AbbVie, Inc., 1 North Waukegan Rd, North Chicago, IL 60064, USA
| | - Luciano J Costa
- The University of Alabama at Birmingham School of Medicine, 1670 University Blvd, Birmingham, AL 35233, USA
| | - Jacob Y Hesterman
- Invicro, a Konica Minolta Company, 119 4th Ave, Needham Heights, MA 02494, USA.
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Chakraborty R, Hillengass J, Lentzsch S. How do we image patients with multiple myeloma and precursor states? Br J Haematol 2023; 203:536-545. [PMID: 37217164 DOI: 10.1111/bjh.18880] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/09/2023] [Accepted: 05/13/2023] [Indexed: 05/24/2023]
Abstract
Advances in morphological and functional imaging have led to superior detection of early bone disease, bone marrow infiltration, paramedullary and extramedullary involvement in multiple myeloma. The two functional imaging modalities that are most widely used and standardized are 18F-fluorodeoxyglucose-Positron emission tomography/computed tomography (FDG PET/CT) and whole-body magnetic resonance imaging with diffusion-weighted imaging (WB DW-MRI). Both prospective and retrospective studies have demonstrated that WB DW-MRI is more sensitive than PET/CT in the detection of baseline tumour burden and to assess response after therapy. In patients with smouldering multiple myeloma, WB DW-MRI is now the preferred imaging modality to rule out two or more unequivocal lesions which would be considered a myeloma-defining event by the updated international myeloma working group (IMWG) criteria. In addition to sensitive detection of baseline tumour burden, both PET/CT and WB DW-MRI have been successfully used for monitoring response to therapy and provide information that is complementary to IMWG response assessment and bone marrow minimal residual disease. In this article, we present 3 vignettes illustrating how we approach the use of modern imaging in the management of patients with multiple myeloma and precursor states, with a specific focus on recent data that have emerged since the publication of the IMWG consensus guideline on imaging. We have utilized data from prospective and retrospective studies to provide a rationale for our approach to imaging in these clinical scenarios and highlighted knowledge gaps requiring future investigation.
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Affiliation(s)
| | - Jens Hillengass
- Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | - Suzanne Lentzsch
- Columbia University Irving Medical Center, New York, New York, USA
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Nørgaard JN, Abildgaard N, Lysén A, Tsykunova G, Vangsted AJ, João C, Remen N, Nielsen LK, Osnes L, Stokke C, Connelly JP, Revheim MER, Schjesvold F. Intensifying treatment in PET-positive multiple myeloma patients after upfront autologous stem cell transplantation. Leukemia 2023; 37:2107-2114. [PMID: 37568010 DOI: 10.1038/s41375-023-01998-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/26/2023] [Accepted: 08/04/2023] [Indexed: 08/13/2023]
Abstract
18F-Fluorodeoxyglucose positron emission tomography/computed tomography (PET) positivity after first-line treatment with autologous stem cell transplantation (ASCT) in multiple myeloma is strongly correlated with reduced progression-free and overall survival. However, PET-positive patients who achieve PET negativity after treatment seem to have comparable outcomes to patients who were PET negative at diagnosis. Hence, giving PET-positive patients additional treatment may improve their outcome. In this phase II study, we screened first-line patients with very good partial response (VGPR) or better after ASCT with PET. PET-positive patients received four 28-day cycles of carfilzomib-lenalidomide-dexamethasone (KRd). Flow cytometry-based minimal residual disease (MRD) analysis was performed before and after treatment for correlation with PET. Overall, 159 patients were screened with PET. A total of 53 patients (33%) were PET positive and 57% of PET-positive patients were MRD negative, demonstrating that these response assessments are complementary. KRd consolidation converted 33% of PET-positive patients into PET negativity. MRD-negative patients were more likely to convert than MRD-positive patients. In summary, PET after ASCT detected residual disease in a substantial proportion of patients in VGPR or better, even in patients who were MRD negative, and KRd consolidation treatment changed PET status in 33% of patients.
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Affiliation(s)
- Jakob Nordberg Nørgaard
- Oslo Myeloma Center, Department of Hematology, Oslo University Hospital, Oslo, Norway.
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
- KG Jebsen Center for B cell malignancies, University of Oslo, Oslo, Norway.
| | - Niels Abildgaard
- Department of Hematology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Anna Lysén
- Oslo Myeloma Center, Department of Hematology, Oslo University Hospital, Oslo, Norway
- KG Jebsen Center for B cell malignancies, University of Oslo, Oslo, Norway
| | - Galina Tsykunova
- Division of Hematology, Haukeland University Hospital, Bergen, Norway
| | | | - Cristina João
- Department of Hematology, Champalimaud Centre for the Unknown, Lisboa, Portugal
- Nova Medical School, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Nora Remen
- Oslo Myeloma Center, Department of Hematology, Oslo University Hospital, Oslo, Norway
| | - Lene Kongsgaard Nielsen
- Quality of Life Research Center, Department of Haematology, Odense University Hospital, Odense, Denmark
- Department of Hematology, Gødstrup Hospital, Herning, Denmark
- OPEN, Open Patient data Explorative Network, Odense University Hospital, Odense, Denmark
| | - Liv Osnes
- Department of Immunology, Oslo University Hospital, Oslo, Norway
| | - Caroline Stokke
- Division for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Department of Physics, University of Oslo, Oslo, Norway
| | - James P Connelly
- Division for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Mona-Elisabeth R Revheim
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Division for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Fredrik Schjesvold
- Oslo Myeloma Center, Department of Hematology, Oslo University Hospital, Oslo, Norway
- KG Jebsen Center for B cell malignancies, University of Oslo, Oslo, Norway
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Kraeber-Bodéré F, Jamet B, Bezzi D, Zamagni E, Moreau P, Nanni C. New Developments in Myeloma Treatment and Response Assessment. J Nucl Med 2023; 64:1331-1343. [PMID: 37591548 PMCID: PMC10478822 DOI: 10.2967/jnumed.122.264972] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 07/06/2023] [Indexed: 08/19/2023] Open
Abstract
Recent innovative strategies have dramatically redefined the therapeutic landscape for treating multiple myeloma patients. In particular, the development and application of immunotherapy and high-dose therapy have demonstrated high response rates and have prolonged remission duration. Over the past decade, new morphologic or hybrid imaging techniques have gradually replaced conventional skeletal surveys. PET/CT using 18F-FDG is a powerful imaging tool for the workup at diagnosis and for therapeutic evaluation allowing medullary and extramedullary assessment. The independent negative prognostic value for progression-free and overall survival derived from baseline PET-derived parameters such as the presence of extramedullary disease or paramedullary disease, as well as the number of focal bone lesions and SUVmax, has been reported in several large prospective studies. During therapeutic evaluation, 18F-FDG PET/CT is considered the reference imaging technique because it can be performed much earlier than MRI, which lacks specificity. Persistence of significant abnormal 18F-FDG uptake after therapy is an independent negative prognostic factor, and 18F-FDG PET/CT and medullary flow cytometry are complementary tools for detecting minimal residual disease before maintenance therapy. The definition of a PET metabolic complete response has recently been standardized and the interpretation criteria harmonized. The development of advanced PET analysis and radiomics using machine learning, as well as hybrid imaging with PET/MRI, offers new perspectives for multiple myeloma imaging. Most recently, innovative radiopharmaceuticals such as C-X-C chemokine receptor type 4-targeted small molecules and anti-CD38 radiolabeled antibodies have shown promising results for tumor phenotype imaging and as potential theranostics.
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Affiliation(s)
- Françoise Kraeber-Bodéré
- Médecine nucléaire, CHU Nantes, Nantes Université, Université Angers, INSERM, CNRS, CRCI2NA, F-44000, Nantes, France
| | - Bastien Jamet
- Médecine nucléaire, CHU Nantes, F-44000, Nantes, France
| | - Davide Bezzi
- Department of Nuclear Medicine, Alma Mater Studiorum, University of Bologna, Bologna. Italy
| | - Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia "Seràgnoli," Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Philippe Moreau
- Hématologie, CHU Nantes, Nantes Université, Université Angers, INSERM, CNRS, CRCI2NA, F-44000, Nantes, France; and
| | - Cristina Nanni
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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Mookerjee A, Gupta R, Kumar R, Sharma A, Pandey RM, Kumar L. Dual assessment with multiparameter flow cytometry and 18F-FDG PET/CT scan provides enhanced prediction of measurable residual disease after autologous haemopoietic stem cell transplant in myeloma-a prospective study. Bone Marrow Transplant 2023; 58:1045-1047. [PMID: 37328681 DOI: 10.1038/s41409-023-02017-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/14/2023] [Accepted: 06/07/2023] [Indexed: 06/18/2023]
Affiliation(s)
- Anjali Mookerjee
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Ritu Gupta
- Lab Oncology, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Rakesh Kumar
- Nuclear Medicine, All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Atul Sharma
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, 110029, India
| | | | - Lalit Kumar
- Department of Medical Oncology, All India Institute of Medical Sciences, New Delhi, 110029, India.
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Medina-Herrera A, Sarasquete ME, Jiménez C, Puig N, García-Sanz R. Minimal Residual Disease in Multiple Myeloma: Past, Present, and Future. Cancers (Basel) 2023; 15:3687. [PMID: 37509348 PMCID: PMC10377959 DOI: 10.3390/cancers15143687] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 07/17/2023] [Accepted: 07/18/2023] [Indexed: 07/30/2023] Open
Abstract
Responses to treatment have improved over the last decades for patients with multiple myeloma. This is a consequence of the introduction of new drugs that have been successfully combined in different clinical contexts: newly diagnosed, transplant-eligible or ineligible patients, as well as in the relapsed/refractory setting. However, a great proportion of patients continue to relapse, even those achieving complete response, which underlines the need for updated response criteria. In 2014, the international myeloma working group established new levels of response, prompting the evaluation of minimal residual disease (MRD) for those patients already in complete or stringent complete response as defined by conventional serological assessments: the absence of tumor plasma cells in 100,000 total cells or more define molecular and immunophenotypic responses by next-generation sequencing and flow cytometry, respectively. In this review, we describe all the potential methods that may be used for MRD detection based on the evidence found in the literature, paying special attention to their advantages and pitfalls from a critical perspective.
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Affiliation(s)
- Alejandro Medina-Herrera
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - María Eugenia Sarasquete
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Cristina Jiménez
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Noemí Puig
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Ramón García-Sanz
- Departament of Hematology, University Hospital of Salamanca (HUSA/IBSAL), CIBERONC, CIC-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
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Zamagni E, Oliva S, Gay F, Capra A, Rota-Scalabrini D, D'Agostino M, Belotti A, Galli M, Racca M, Zambello R, Gamberi B, Albano D, Bertamini L, Versari A, Grasso M, Sgherza N, Priola C, Fioritoni F, Patriarca F, De Cicco G, Villanova T, Pascarella A, Zucchetta P, Tacchetti P, Fanti S, Mancuso K, Barbato S, Boccadoro M, Musto P, Cavo M, Nanni C. Impact of minimal residual disease standardised assessment by FDG-PET/CT in transplant-eligible patients with newly diagnosed multiple myeloma enrolled in the imaging sub-study of the FORTE trial. EClinicalMedicine 2023; 60:102017. [PMID: 37396807 PMCID: PMC10314158 DOI: 10.1016/j.eclinm.2023.102017] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 05/03/2023] [Accepted: 05/08/2023] [Indexed: 07/04/2023] Open
Abstract
Background 18F-FDG-PET/CT is the current standard technique to define minimal residual disease (MRD) outside the bone marrow (BM) in multiple myeloma (MM), recently standardised applying the Deauville scores (DS) to focal lesions (FS) and bone marrow uptake (BMS) and defining the complete metabolic response (CMR) as uptake below the liver background (DS <4). Methods In this analysis, we aimed at confirming the role of CMR, and complementarity with BM multiparameter flow cytometry (MFC) at 10-5, in an independent cohort of newly diagnosed transplant-eligible MM patients previously enrolled in the phase II randomised FORTE trial. 109 of the 474 global patients enrolled in the trial between February 23, 2015, and April 5, 2017, who had paired PET/CT (performed at baseline [B] and preceding maintenance therapy [PM]) and MFC evaluation, were included in this analysis. Findings At B, 93% of patients had focal lesions within the bones (FS ≥4 in 89%) and 99% increased BM uptake (BMS ≥4 in 61%). At PM, CMR was achieved in 63% of patients, which was a strong predictor for prolonged PFS in univariate analysis at landmark time PM (HR 0.40, P = 0.0065) and in Cox multivariate analysis (HR 0.31, P = 0.0023). Regarding OS, a trend in favour of CMR was present in univariate (HR 0.44, P = 0.094), and Cox multivariate model (HR 0.17, P = 0.0037). Patients achieving both PET/CT CMR and MFC negativity at PM showed significantly extended PFS in univariate (HR 0.45, P = 0.020) and multivariate analysis (HR 0.41, P = 0.015). Interpretation We herein confirm the applicability and validity of DS criteria to define CMR and its prognostic relevance and complementarity with MFC at the BM level. Funding Amgen, Celgene/Bristol Myers Squibb, Italian Ministry of Health (RC-2022-2773423).
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Affiliation(s)
- Elena Zamagni
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Stefania Oliva
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
| | - Francesca Gay
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Andrea Capra
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Delia Rota-Scalabrini
- Multidisciplinary Oncology Outpatient Clinic, Candiolo Cancer Institute, FPO-IRCCS, Torino, Italy
| | - Mattia D'Agostino
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Angelo Belotti
- Department of Hematology, ASST Spedali Civili di Brescia, Brescia, Italy
| | - Monica Galli
- UO Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Manuela Racca
- Nuclear Medicine Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy
| | - Renato Zambello
- Department of Medicine (DIMED), Hematology and Clinical Immunology, Padua University, Padua, Italy
| | | | - Domenico Albano
- Nuclear Medicine Department, University of Brescia and ASST Spedali Civili Brescia, Brescia, Italy
| | - Luca Bertamini
- Division of Hematology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino, Torino, Italy
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Annibale Versari
- Nuclear Medicine Unit, Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | | | - Nicola Sgherza
- Hematology and Stem Cell Transplantation Unit, AOU Consorziale Policlinico, Bari, Italy
| | - Claudia Priola
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | | | - Francesca Patriarca
- Hematologic Clinic and Transplant Center, University Hospital of Central Friuli, DAME, University of Udine, Udine, Italy
| | - Gabriella De Cicco
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Tania Villanova
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | | | - Pietro Zucchetta
- Nuclear Medicine Unit, Department of Medicine DIMED, University-Hospital of Padova, Padova, Italy
| | - Paola Tacchetti
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
| | - Stefano Fanti
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Katia Mancuso
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Simona Barbato
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Mario Boccadoro
- Division of Hematology, Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - Pellegrino Musto
- Hematology and Stem Cell Transplantation Unit, AOU Consorziale Policlinico, Bari, Italy
- Department of Precision and Regenerative Medicine and Ionian Area, “Aldo Moro” University School of Medicine, Bari, Italy
| | - Michele Cavo
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Istituto di Ematologia “Seràgnoli”, Bologna, Italy
- Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
| | - Cristina Nanni
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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Zhang X, Dong X, Saripan MIB, Du D, Wu Y, Wang Z, Cao Z, Wen D, Liu Y, Marhaban MH. Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer. Thorac Cancer 2023. [PMID: 37183577 DOI: 10.1111/1759-7714.14924] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/21/2023] [Accepted: 04/22/2023] [Indexed: 05/16/2023] Open
Abstract
BACKGROUND Radiomic diagnosis models generally consider only a single dimension of information, leading to limitations in their diagnostic accuracy and reliability. The integration of multiple dimensions of information into the deep learning model have the potential to improve its diagnostic capabilities. The purpose of study was to evaluate the performance of deep learning model in distinguishing tuberculosis (TB) nodules and lung cancer (LC) based on deep learning features, radiomic features, and clinical information. METHODS Positron emission tomography (PET) and computed tomography (CT) image data from 97 patients with LC and 77 patients with TB nodules were collected. One hundred radiomic features were extracted from both PET and CT imaging using the pyradiomics platform, and 2048 deep learning features were obtained through a residual neural network approach. Four models included traditional machine learning model with radiomic features as input (traditional radiomics), a deep learning model with separate input of image features (deep convolutional neural networks [DCNN]), a deep learning model with two inputs of radiomic features and deep learning features (radiomics-DCNN) and a deep learning model with inputs of radiomic features and deep learning features and clinical information (integrated model). The models were evaluated using area under the curve (AUC), sensitivity, accuracy, specificity, and F1-score metrics. RESULTS The results of the classification of TB nodules and LC showed that the integrated model achieved an AUC of 0.84 (0.82-0.88), sensitivity of 0.85 (0.80-0.88), and specificity of 0.84 (0.83-0.87), performing better than the other models. CONCLUSION The integrated model was found to be the best classification model in the diagnosis of TB nodules and solid LC.
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Affiliation(s)
- Xiaolei Zhang
- Faculty of Engineering, Universiti Putra Malaysia, Serdang, Malaysia
- Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China
| | - Xianling Dong
- Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China
- Hebei International Research Center of Medical Engineering and Hebei Provincial Key Laboratory of Nerve Injury and Repair, Chengde Medical University, Chengde, Hebei, China
| | | | - Dongyang Du
- School of Biomedical Engineering and Guangdong Province Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China
| | - Yanjun Wu
- Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China
| | - Zhongxiao Wang
- Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China
| | - Zhendong Cao
- Department of Radiology, the Affiliated Hospital of Chengde Medical University, Chengde, China
| | - Dong Wen
- Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China
| | - Yanli Liu
- Department of Biomedical Engineering, Chengde Medical University, Chengde, Hebei, China
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Milara E, Alonso R, Masseing L, Seiffert AP, Gómez-Grande A, Gómez EJ, Martínez-López J, Sánchez-González P. Radiomics analysis of bone marrow biopsy locations in [ 18F]FDG PET/CT images for measurable residual disease assessment in multiple myeloma. Phys Eng Sci Med 2023; 46:903-913. [PMID: 37155114 DOI: 10.1007/s13246-023-01265-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 04/19/2023] [Indexed: 05/10/2023]
Abstract
The combination of visual assessment of whole body [18F]FDG PET images and evaluation of bone marrow samples by Multiparameter Flow Cytometry (MFC) or Next-Generation Sequencing (NGS) is currently the most common clinical practice for the detection of Measurable Residual Disease (MRD) in Multiple Myeloma (MM) patients. In this study, radiomic features extracted from the bone marrow biopsy locations are analyzed and compared to those extracted from the whole bone marrow in order to study the representativeness of these biopsy locations in the image-based MRD assessment. Whole body [18F]FDG PET of 39 patients with newly diagnosed MM were included in the database, and visually evaluated by experts in nuclear medicine. A methodology for the segmentation of biopsy sites from PET images, including sternum and posterior iliac crest, and their subsequent quantification is proposed. First, starting from the bone marrow segmentation, a segmentation of the biopsy sites is performed. Then, segmentations are quantified extracting SUV metrics and radiomic features from the [18F]FDG PET images and are evaluated by Mann-Whitney U-tests as valuable features differentiating PET+/PET- and MFC+ /MFC- groups. Moreover, correlation between whole bone marrow and biopsy sites is studied by Spearman ρ rank. Classification performance of the radiomics features is evaluated applying seven machine learning algorithms. Statistical analyses reveal that some images features are significant in PET+/PET- differentiation, such as SUVmax, Gray Level Non-Uniformity or Entropy, especially with a balanced database where 16 of the features show a p value < 0.001. Correlation analyses between whole bone marrow and biopsy sites results in significant and acceptable coefficients, with 11 of the variables reaching a correlation coefficient greater than 0.7, with a maximum of 0.853. Machine learning algorithms demonstrate high performances in PET+/PET- classification reaching a maximum AUC of 0.974, but not for MFC+/MFC- classification. The results demonstrate the representativeness of sample sites as well as the effectiveness of extracted features (SUV metrics and radiomic features) from the [18F]FDG PET images in MRD assessment in MM patients.
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Affiliation(s)
- Eva Milara
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040, Madrid, Spain
| | - Rafael Alonso
- Department of Hematology and Instituto de Investigación Sanitaria (imas12), Hospital Universitario, 12 de Octubre, 28041, Madrid, Spain
- Clinical Research Hematology Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, 28040, Madrid, Spain
| | - Lena Masseing
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040, Madrid, Spain
| | - Alexander P Seiffert
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040, Madrid, Spain
| | - Adolfo Gómez-Grande
- Facultad de Medicina, Universidad Complutense de Madrid, 28040, Madrid, Spain
- Department of Nuclear Medicine, Hospital Universitario, 12 de Octubre, 28041, Madrid, Spain
| | - Enrique J Gómez
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040, Madrid, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, 28029, Madrid, Spain
| | - Joaquín Martínez-López
- Department of Hematology and Instituto de Investigación Sanitaria (imas12), Hospital Universitario, 12 de Octubre, 28041, Madrid, Spain
- Clinical Research Hematology Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), 28029, Madrid, Spain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, 28040, Madrid, Spain
| | - Patricia Sánchez-González
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040, Madrid, Spain.
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, 28029, Madrid, Spain.
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Jamet B, Bodet-Milin C, Moreau P, Kraeber-Bodéré F, Touzeau C. 2-[ 18 F]FDG PET/CT Flare-up Phenomena Following T-Cell Engager Bispecific Antibody in Multiple Myeloma. Clin Nucl Med 2023; 48:e230-e231. [PMID: 36881609 DOI: 10.1097/rlu.0000000000004588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
ABSTRACT T-cell-redirecting bispecific antibodies represent a new standard of care for the treatment of triple-class refractory myeloma patients. Here, 2-[ 18 F]FDG PET/CT imaging was performed on a 61-year-old woman with relapsed myeloma to determine metabolic response to talquetamab, a GPRC5DxCD3-bispecific antibody. At day 28, monoclonal (M) component assessment confirmed very good partial response (97% monoclonal protein reduction), whereas 2-[ 18 F]FDG PET/CT imaging revealed early bone flare-up phenomena. At day 84, bone marrow aspirate, M-component assessment, and 2-[ 18 F]FDG PET/CT demonstrated complete response, confirming the early flare-up hypothesis.
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Bezzi D, Ambrosini V, Nanni C. Clinical Value of FDG-PET/CT in Multiple Myeloma: An Update. Semin Nucl Med 2023; 53:352-370. [PMID: 36446644 DOI: 10.1053/j.semnuclmed.2022.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 10/27/2022] [Accepted: 10/28/2022] [Indexed: 11/28/2022]
Abstract
FDG-PET/CT is a standardized imaging technique that has reached a great importance in the management of patients affected by Multiple Myeloma. It is proved, in fact, that it allows a deep evaluation of therapy efficacy and provides several prognostic indexes both at staging and after therapy. For this reason, it is now recognised as a gold standard for therapy assessment. Beside this, in reacent years FDG-PET/CT contribution to the understanding of Multiple Myeloma has progressively grown. Papers have been published analyzing the prognostic value of active disease volume measurement and standardization issues, the meaning of FDG positive paramedullary and extrameduallary disease, the prognostic impact of FDG positive minimal residual disease, the relation between focal lesions and clonal eterogenity of this disease and the comparison with whole body DWI-MR in terms of detection and therapy assessment. These newer aspects not of clinical impact yet, of FDG-PET/CT in Multiple Myeloma will be presented and discussed in this review.
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Affiliation(s)
- Davide Bezzi
- Nuclear Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy
| | - Valentina Ambrosini
- Nuclear Medicine, Alma Mater Studiorum, University of Bologna, Bologna, Italy; Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Cristina Nanni
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
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Suzuki K, Yano S. Treatment Strategy for Ultra-High-Risk Multiple Myelomas with Chromosomal Aberrations Considering Minimal Residual Disease Status and Bone Marrow Microenvironment. Cancers (Basel) 2023; 15:cancers15092418. [PMID: 37173885 PMCID: PMC10177433 DOI: 10.3390/cancers15092418] [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: 03/10/2023] [Revised: 04/12/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Despite the development of anti-myeloma therapeutics, such as proteasome inhibitors, immunomodulatory drugs, anti-CD38 monoclonal antibodies, and autologous stem cell transplantation (ASCT), multiple myeloma remains incurable. A trial treatment combining four drugs-daratumumab, carfilzomib, lenalidomide, and dexamethasone-followed by ASCT frequently results in minimal residual disease (MRD) negativity and prevents progressive disease in patients with standard- and high-risk cytogenetics; however, it is insufficient to overcome the poor outcomes in patients with ultra-high-risk chromosomal aberration (UHRCA). In fact, MRD status in autografts can predict clinical outcomes after ASCT. Therefore, the current treatment strategy might be insufficient to overcome the negative impact of UHRCA in patients with MRD positivity after the four-drug induction therapy. High-risk myeloma cells lead to poor clinical outcomes not only by aggressive myeloma behavior but also via the generation of a poor bone marrow microenvironment. Meanwhile, the immune microenvironment effectively suppresses myeloma cells with a low frequency of high-risk cytogenetic abnormalities in early-stage myeloma compared to late-stage myeloma. Therefore, early intervention might be key to improving clinical outcomes in myeloma patients. The purpose of this review is to improve clinical outcomes in patients with UHRCA by considering MRD assessment results and improvement of the microenvironment.
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Affiliation(s)
- Kazuhito Suzuki
- Division of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo 105-0003, Japan
| | - Shingo Yano
- Division of Clinical Oncology and Hematology, Department of Internal Medicine, The Jikei University School of Medicine, 3-19-18 Nishi-Shimbashi, Minato-ku, Tokyo 105-0003, Japan
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Meng Y, Sun J, Zhang G, Yu T, Piao H. Imaging glucose metabolism to reveal tumor progression. Front Physiol 2023; 14:1103354. [PMID: 36818450 PMCID: PMC9932271 DOI: 10.3389/fphys.2023.1103354] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 01/20/2023] [Indexed: 02/05/2023] Open
Abstract
Purpose: To analyze and review the progress of glucose metabolism-based molecular imaging in detecting tumors to guide clinicians for new management strategies. Summary: When metabolic abnormalities occur, termed the Warburg effect, it simultaneously enables excessive cell proliferation and inhibits cell apoptosis. Molecular imaging technology combines molecular biology and cell probe technology to visualize, characterize, and quantify processes at cellular and subcellular levels in vivo. Modern instruments, including molecular biochemistry, data processing, nanotechnology, and image processing, use molecular probes to perform real-time, non-invasive imaging of molecular and cellular events in living organisms. Conclusion: Molecular imaging is a non-invasive method for live detection, dynamic observation, and quantitative assessment of tumor glucose metabolism. It enables in-depth examination of the connection between the tumor microenvironment and tumor growth, providing a reliable assessment technique for scientific and clinical research. This new technique will facilitate the translation of fundamental research into clinical practice.
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Affiliation(s)
- Yiming Meng
- Central Laboratory, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Jing Sun
- Central Laboratory, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Guirong Zhang
- Central Laboratory, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Tao Yu
- Department of Medical Image, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, Shenyang, China,*Correspondence: Tao Yu, ; Haozhe Piao,
| | - Haozhe Piao
- Department of Neurosurgery, Liaoning Cancer Hospital & Institute, Cancer Hospital of China Medical University, Shenyang, China,*Correspondence: Tao Yu, ; Haozhe Piao,
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Barilà G, Crimì F, Arangio Febbo M, Pavan L, Vedovato S, Cabrelle G, Zanon C, Campi C, Cecchin D, Zucchetta P, Lacognata C, Semenzato G, Zambello R. Imaging minimal residual disease evaluation in multiple myeloma using [ 18F]FDG PET/MRI. Leuk Lymphoma 2023; 64:503-506. [PMID: 36382776 DOI: 10.1080/10428194.2022.2142053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Gregorio Barilà
- Hematology Unit, Azienda ULSS3 Serenissima, Ospedale dell'Angelo, Venezia-Mestre, Italy
| | - Filippo Crimì
- Department of Medicine (DIMED), Institute of Radiology, Padua University School of Medicine, Padova, Italy
| | - Massimiliano Arangio Febbo
- Department of Medicine (DIMED), Hematology and Clinical Immunology, Padua University School of Medicine, Padova, Italy
| | - Laura Pavan
- Department of Medicine (DIMED), Hematology and Clinical Immunology, Padua University School of Medicine, Padova, Italy
| | | | - Giulio Cabrelle
- Department of Medicine (DIMED), Institute of Radiology, Padua University School of Medicine, Padova, Italy
| | - Chiara Zanon
- Department of Medicine (DIMED), Institute of Radiology, Padua University School of Medicine, Padova, Italy
| | - Cristina Campi
- Department of Mathematics (DIMA), University of Genoa, Genoa, Italy
| | - Diego Cecchin
- Department of Medicine (DIMED), Nuclear Medicine Unit, School of Medicine, University Hospital of Padova, Padova, Italy
| | - Pietro Zucchetta
- Department of Medicine (DIMED), Nuclear Medicine Unit, School of Medicine, University Hospital of Padova, Padova, Italy
| | - Carmelo Lacognata
- Department of Medicine (DIMED), Institute of Radiology, Padua University School of Medicine, Padova, Italy
| | - Gianpietro Semenzato
- Department of Medicine (DIMED), Hematology and Clinical Immunology, Padua University School of Medicine, Padova, Italy
| | - Renato Zambello
- Department of Medicine (DIMED), Hematology and Clinical Immunology, Padua University School of Medicine, Padova, Italy
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Murad V, Kulanthaivelu R, Ortega C, Veit-Haibach P, Metser U. Standardized classification schemes in reporting oncologic PET/CT. Front Med (Lausanne) 2023; 9:1051309. [PMID: 36777163 PMCID: PMC9909469 DOI: 10.3389/fmed.2022.1051309] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 12/19/2022] [Indexed: 01/27/2023] Open
Abstract
The imaging report is essential for the communication between physicians in patient care. The information it contains must be clear, concise with evidence-based conclusions and sufficient to support clinical decision-making. In recent years, several classification schemes and/or reporting guidelines for PET have been introduced. In this manuscript, we will review the classifications most frequently used in oncology for interpreting and reporting 18F-FDG PET imaging in lymphoma, multiple myeloma, melanoma and head and neck cancers, PSMA-ligand PET imaging for prostate cancer, and 68Ga-DOTA-peptide PET in neuroendocrine tumors (NET).
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Affiliation(s)
- Vanessa Murad
- Molecular Imaging Division, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women’s College Hospital, University of Toronto, Toronto, ON, Canada
- University Medical Imaging Toronto, University of Toronto, Toronto, ON, Canada
| | - Roshini Kulanthaivelu
- Molecular Imaging Division, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women’s College Hospital, University of Toronto, Toronto, ON, Canada
- University Medical Imaging Toronto, University of Toronto, Toronto, ON, Canada
| | - Claudia Ortega
- Molecular Imaging Division, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women’s College Hospital, University of Toronto, Toronto, ON, Canada
- University Medical Imaging Toronto, University of Toronto, Toronto, ON, Canada
| | - Patrick Veit-Haibach
- Molecular Imaging Division, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women’s College Hospital, University of Toronto, Toronto, ON, Canada
- University Medical Imaging Toronto, University of Toronto, Toronto, ON, Canada
| | - Ur Metser
- Molecular Imaging Division, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women’s College Hospital, University of Toronto, Toronto, ON, Canada
- University Medical Imaging Toronto, University of Toronto, Toronto, ON, Canada
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Marcon C, Simeon V, Deias P, Facchin G, Corso A, Derudas D, Montefusco V, Offidani M, Petrucci MT, Zambello R, Stocchi R, Fanin R, Patriarca F. Experts' consensus on the definition and management of high risk multiple myeloma. Front Oncol 2023; 12:1096852. [PMID: 36755858 PMCID: PMC9899889 DOI: 10.3389/fonc.2022.1096852] [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: 11/12/2022] [Accepted: 12/16/2022] [Indexed: 01/24/2023] Open
Abstract
High risk multiple myeloma (HRMM) at diagnosis is currently recognized according to the Revised International Staging System (R-ISS) which was set up in 2015. Since then, new clinical and biological prognostic factors have been developed, which could implement the definition of High Risk (HR) category. We conducted a survey in order to identify which additional parameters, both clinical and biological, are considered more useful for the clinical practice and to evaluate if the management of Multiple Myeloma (MM) should change on the basis of the risk category. A questionnaire, consisting of 8 statements, was submitted to 6 Italian experts, from the European Myeloma Network (EMN) Research Italy, using the Delphi method. The colleagues were asked to answer each question using a scale between 0 and 100. If a statement did not reach at least 75 out of 100 points from all the participants, it was rephrased on the basis of the proposal of the experts and resubmitted in a second or further round, until a consensus was reached among all. From the first round of the survey a strong consensus was reached regarding the opportunity to revise the R-ISS including chromosome 1 abnormality, TP53 mutation or deletion, circulating plasma cells by next generation flow and extramedullary plasmacytomas. No consensus was reached for the definition of "double hit" MM and for the application in clinical practice of treatment strategies based on the risk category. In the second round of the Delphi questionnaire, "double-hit" MM was recognized by the association of at least two high-risk cytogenetic or molecular abnormalities. Moreover, the experts agreed to reserve an intensified treatment only to specific conditions, such as plasma cell leukaemia or patients with multiple extramedullary plasmacytomas, while they admitted that there are not sufficient real word data in order to modify treatment on the basis of MRD assessment in clinical practice. This survey suggests that the definition of HRMM should be implemented by additional clinical and biological risk factors, that will be useful to guide treatment in the future.
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Affiliation(s)
- Chiara Marcon
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy,*Correspondence: Chiara Marcon,
| | - Valentina Simeon
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
| | - Paola Deias
- Division of Hematology and Bone Marrow Transplant Center, Department of Medical Science, R. Binaghi Hospital, Cagliari University, Cagliari, Italy
| | - Gabriele Facchin
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | | | - Daniele Derudas
- Division of Hematology and Bone Marrow Transplant Center, A. Businco Cancer Hospital, Cagliari, Italy
| | - Vittorio Montefusco
- Division of Hematology, Azienda Socio Sanitaria Territoriale (ASST) Santi Paolo e Carlo, Milan, Italy
| | - Massimo Offidani
- Clinical Hematology, Azienda Ospedaliera Universitaria (AOU) Ospedali Riuniti di Ancona, Ancona, Italy
| | - Maria Teresa Petrucci
- Division of Hematology, Department of Translational and Precision Medicine, Azienda Ospedaliera Policlinico Umberto I, Sapienza University of Rome, Rome, Italy
| | - Renato Zambello
- Clinical Hematology, Azienda Ospedaliera di Padova, Padua, Italy
| | - Raffaella Stocchi
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | - Renato Fanin
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
| | - Francesca Patriarca
- Division of Hematology, S. Maria della Misericordia Hospital, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy,Department of Area Medica, Udine University, Udine, Italy
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Falini B, Martino G, Lazzi S. A comparison of the International Consensus and 5th World Health Organization classifications of mature B-cell lymphomas. Leukemia 2023; 37:18-34. [PMID: 36460764 PMCID: PMC9883170 DOI: 10.1038/s41375-022-01764-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 12/03/2022]
Abstract
Several editions of the World Health Organization (WHO) classifications of lympho-hemopoietic neoplasms in 2001, 2008 and 2017 served as the international standard for diagnosis. Since the 4th WHO edition, here referred as WHO-HAEM4, significant clinico-pathological, immunophenotypic and molecular advances have been made in the field of lymphomas, contributing to refining diagnostic criteria of several diseases, to upgrade entities previously defined as provisional and to identify new entities. This process has resulted in two recent classifying proposals of lymphoid neoplasms, the International Consensus Classification (ICC) and the 5th edition of the WHO classification (WHO-HAEM5). In this paper, we review and compare the two classifications in terms of diagnostic criteria and entity definition, with focus on mature B-cell neoplasms. The main aim is to provide a tool to facilitate the work of pathologists, hematologists and researchers involved in the diagnosis and treatment of lymphomas.
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Affiliation(s)
- Brunangelo Falini
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy.
| | - Giovanni Martino
- Institute of Hematology and CREO, University of Perugia, Perugia, Italy
| | - Stefano Lazzi
- Institute of Pathology, Department of Medical Biotechnology, University of Siena, Siena, Italy
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40
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Salem AE, Shah HR, Covington MF, Koppula BR, Fine GC, Wiggins RH, Hoffman JM, Morton KA. PET-CT in Clinical Adult Oncology: I. Hematologic Malignancies. Cancers (Basel) 2022; 14:cancers14235941. [PMID: 36497423 PMCID: PMC9738711 DOI: 10.3390/cancers14235941] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 10/28/2022] [Accepted: 11/24/2022] [Indexed: 12/03/2022] Open
Abstract
PET-CT is an advanced imaging modality with many oncologic applications, including staging, assessment of response to therapy, restaging and evaluation of suspected recurrence. The goal of this 6-part series of review articles is to provide practical information to providers and imaging professionals regarding the best use of PET-CT for the more common adult malignancies. In the first article of this series, hematologic malignancies are addressed. The classification of these malignancies will be outlined, with the disclaimer that the classification of lymphomas is constantly evolving. Critical applications, potential pitfalls, and nuances of PET-CT imaging in hematologic malignancies and imaging features of the major categories of these tumors are addressed. Issues of clinical importance that must be reported by the imaging professionals are outlined. The focus of this article is on [18F] fluorodeoxyglucose (FDG), rather that research tracers or those requiring a local cyclotron. This information will serve as a resource for the appropriate role and limitations of PET-CT in the clinical management of patients with hematological malignancy for health care professionals caring for adult patients with hematologic malignancies. It also serves as a practical guide for imaging providers, including radiologists, nuclear medicine physicians and their trainees.
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Affiliation(s)
- Ahmed Ebada Salem
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA
- Department of Radiodiagnosis and Intervention, Faculty of Medicine, Alexandria University, Alexandria 21526, Egypt
| | - Harsh R. Shah
- Department of Medicine, Division of Hematology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84132, USA
| | - Matthew F. Covington
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA
| | - Bhasker R. Koppula
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA
| | - Gabriel C. Fine
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA
| | - Richard H. Wiggins
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA
| | - John M. Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA
| | - Kathryn A. Morton
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA
- Intermountain Healthcare Hospitals, Murray, UT 84123, USA
- Correspondence: ; Tel.: +1-1801-581-7553
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41
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Santoni A, Simoncelli M, Franceschini M, Ciofini S, Fredducci S, Caroni F, Sammartano V, Bocchia M, Gozzetti A. Functional Imaging in the Evaluation of Treatment Response in Multiple Myeloma: The Role of PET-CT and MRI. J Pers Med 2022; 12:jpm12111885. [PMID: 36579605 PMCID: PMC9696713 DOI: 10.3390/jpm12111885] [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: 10/14/2022] [Revised: 11/01/2022] [Accepted: 11/08/2022] [Indexed: 11/12/2022] Open
Abstract
Bone disease is among the defining characteristics of symptomatic Multiple Myeloma (MM). Imaging techniques such as fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET/CT) and magnetic resonance imaging (MRI) can identify plasma cell proliferation and quantify disease activity. This function renders these imaging tools as suitable not only for diagnosis, but also for the assessment of bone disease after treatment of MM patients. The aim of this article is to review FDG PET/CT and MRI and their applications, with a focus on their role in treatment response evaluation. MRI emerges as the technique with the highest sensitivity in lesions' detection and PET/CT as the technique with a major impact on prognosis. Their comparison yields different results concerning the best tool to evaluate treatment response. The inhomogeneity of the data suggests the need to address limitations related to these tools with the employment of new techniques and the potential for a complementary use of both PET/CT and MRI to refine the sensitivity and achieve the standards for minimal residual disease (MRD) evaluation.
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Kraeber-Bodéré F, Zweegman S, Perrot A, Hulin C, Caillot D, Facon T, Leleu X, Belhadj K, Itti E, Karlin L, Bailly C, Levin MD, Minnema MC, Jamet B, Bodet-Milin C, de Keizer B, Béné MC, Avet-Loiseau H, Sonneveld P, Pei L, Rigat F, de Boer C, Vermeulen J, Kampfenkel T, Lambert J, Moreau P. Prognostic value of positron emission tomography/computed tomography in transplant-eligible newly diagnosed multiple myeloma patients from CASSIOPEIA: the CASSIOPET study. Haematologica 2022; 108:621-626. [PMID: 36263839 PMCID: PMC9890028 DOI: 10.3324/haematol.2021.280051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Indexed: 02/03/2023] Open
Affiliation(s)
- Françoise Kraeber-Bodéré
- Service de Médecine Nucléaire, University Hospital Hôtel-Dieu, Nantes, France; CRCI2NA, INSERM, CNRS, Université d'Angers, Nantes Université, Nantes.
| | - Sonja Zweegman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Department of Hematology, Amsterdam, the Netherlands
| | - Aurore Perrot
- CHU de Toulouse, IUCT-O, Université de Toulouse, UPS, Service d’Hématologie, Toulouse, France
| | - Cyrille Hulin
- Department of Hematology, Hôpital Haut Lévêque, University Hospital Bordeaux, Pessac, France
| | | | - Thierry Facon
- University of Lille, CHU Lille, Service des Maladies du Sang, Lille, France
| | - Xavier Leleu
- CHU Poitiers, Hôpital la Milétrie, Poitiers, France
| | - Karim Belhadj
- Hôpital Henri Mondor, Lymphoid Malignancies Unit, Créteil, France
| | - Emmanuel Itti
- Department of Nuclear Medicine, Hôpital Henri Mondor, Créteil, France
| | - Lionel Karlin
- Centre Hospitalier Lyon-Sud Hématologie (HCL), Pierre–Bénite, France
| | - Clément Bailly
- Service de Médecine Nucléaire, University Hospital Hôtel-Dieu, Nantes, France,CRCI2NA, INSERM, CNRS, Université d’Angers, Nantes Université, Nantes, France
| | | | - Monique C. Minnema
- Department of Hematology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Bastien Jamet
- Service de Médecine Nucléaire, University Hospital Hôtel-Dieu, Nantes, France
| | - Caroline Bodet-Milin
- Service de Médecine Nucléaire, University Hospital Hôtel-Dieu, Nantes, France,CRCI2NA, INSERM, CNRS, Université d’Angers, Nantes Université, Nantes, France
| | - Bart de Keizer
- Department of Nuclear Medicine and Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marie C. Béné
- CRCI2NA, INSERM, CNRS, Université d’Angers, Nantes Université, Nantes, France,Hematology Biology, University Hospital Hôtel Dieu, Nantes, France
| | | | | | - Lixia Pei
- Janssen Research & Development, LLC, Raritan, NJ, USA
| | - Fabio Rigat
- Janssen Research & Development, LLC, Buckinghamshire, UK
| | - Carla de Boer
- Janssen Research & Development, LLC, Leiden, the Netherlands
| | | | | | - Jérôme Lambert
- Biostatistical Department, Hôpital Saint Louis, Paris, France
| | - Philippe Moreau
- CRCI2NA, INSERM, CNRS, Université d’Angers, Nantes Université, Nantes, France,Hematology, University Hospital Hôtel-Dieu, Nantes, France
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Unexpected Heterogeneity of Newly Diagnosed Multiple Myeloma Patients with Plasmacytomas. Biomedicines 2022; 10:biomedicines10102535. [PMID: 36289797 PMCID: PMC9599767 DOI: 10.3390/biomedicines10102535] [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: 09/10/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/16/2022] Open
Abstract
In multiple myeloma (MM), malignant plasma cells infiltrate the bone marrow. In some cases, plasma cells migrate out of the bone marrow creating either para-skeletal plasmacytomas (PS) or infiltrating soft tissues as extramedullary plasmacytomas (EMD). The aim of this study was to define risk groups in newly diagnosed MM (NDMM) patients with PS and EMD plasmacytomas. In total, 523 NDMM patients with PS plasmacytomas and 196 NDMM patients with EMD plasmacytomas were diagnosed in the Czech Republic between 2004 and 2021 using modern imaging methods. Patients’ data were analyzed from the Registry of Monoclonal Gammopathies of the Czech Myeloma Group. In NDMM patients with PS plasmacytomas, we found a subgroup with <5% of bone-marrow plasma cells to have the best prognosis (mPFS: 58.3 months (95% CI: 33.0−NA); mOS: not reached). The subgroup with >5% of bone-marrow plasma cells and ≥3 plasmacytomas had the worst prognosis (mPFS: 19.3 months (95% CI: 13.4−28.8), p < 0.001; mOS: 27.9 months (95% CI: 19.3−67.8), p < 0.001). Our results show association between tumor burden and prognosis of NDMM patients with plasmacytomas. In the case of PS plasmacytomas, NDMM patients with low BM PC infiltration have an excellent prognosis.
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Milara E, Gómez-Grande A, Tomás-Soler S, Seiffert AP, Alonso R, Gómez EJ, Martínez-López J, Sánchez-González P. Bone marrow segmentation and radiomics analysis of [ 18F]FDG PET/CT images for measurable residual disease assessment in multiple myeloma. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2022; 225:107083. [PMID: 36044803 DOI: 10.1016/j.cmpb.2022.107083] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/07/2022] [Accepted: 08/22/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVES The last few years have been crucial in defining the most appropriate way to quantitatively assess [18F]FDG PET images in Multiple Myeloma (MM) patients to detect persistent tumor burden. The visual evaluation of images complements the assessment of Measurable Residual Disease (MRD) in bone marrow samples by multiparameter flow cytometry (MFC) or next-generation sequencing (NGS). The aim of this study was to quantify MRD by analyzing quantitative and texture [18F]FDG PET features. METHODS Whole body [18F]FDG PET of 39 patients with newly diagnosed MM were included in the database, and visually evaluated by experts in nuclear medicine. A segmentation methodology of the skeleton from CT images and an additional manual segmentation tool were proposed, implemented in a software solution including a graphical user interface. Both the compact bone and the spinal canal were removed from the segmentation to obtain only the bone marrow mask. SUV metrics, GLCM, GLRLM, and NGTDM parameters were extracted from the PET images and evaluated by Mann-Whitney U-tests and Spearman ρ rank correlation as valuable features differentiating PET+/PET- and MFC+/MFC- groups. Seven machine learning algorithms were applied for evaluating the classification performance of the extracted features. RESULTS Quantitative analysis for PET+/PET- differentiating demonstrated to be significant for most of the variables assessed with Mann-Whitney U-test such as Variance, Energy, and Entropy (p-value = 0.001). Moreover, the quantitative analysis with a balanced database evaluated by Mann-Whitney U-test revealed in even better results with 19 features with p-values < 0.001. On the other hand, radiomics analysis for MFC+/MFC- differentiating demonstrated the necessity of combining MFC evaluation with [18F]FDG PET assessment in the MRD diagnosis. Machine learning algorithms using the image features for the PET+/PET- classification demonstrated high performance metrics but decreasing for the MFC+/MFC- classification. CONCLUSIONS A proof-of-concept for the extraction and evaluation of bone marrow radiomics features of [18F]FDG PET images was proposed and implemented. The validation showed the possible use of these features for the image-based assessment of MRD.
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Affiliation(s)
- Eva Milara
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Avenida Complutense 30, Madrid 28040, Spain.
| | - Adolfo Gómez-Grande
- Department of Nuclear Medicine, Hospital Universitario 12 de Octubre, Madrid, Spain; Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Sebastián Tomás-Soler
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Avenida Complutense 30, Madrid 28040, Spain
| | - Alexander P Seiffert
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Avenida Complutense 30, Madrid 28040, Spain
| | - Rafael Alonso
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Department of Hematology and Instituto de Investigación Sanitaria (imas12), Hospital Universitario 12 de Octubre, Madrid, Spain; Clinical Research Hematology Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Enrique J Gómez
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Avenida Complutense 30, Madrid 28040, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Joaquín Martínez-López
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain; Department of Hematology and Instituto de Investigación Sanitaria (imas12), Hospital Universitario 12 de Octubre, Madrid, Spain; Clinical Research Hematology Unit, Centro Nacional de Investigaciones Oncológicas (CNIO), Madrid, Spain; Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Madrid, Spain
| | - Patricia Sánchez-González
- Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, Avenida Complutense 30, Madrid 28040, Spain; Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.
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Stokke C, Nørgaard JN, Feiring Phillips H, Sherwani A, Nuruddin S, Connelly J, Schjesvold F, Revheim ME. Comparison of [ 18F]fluciclovine and [ 18F]FDG PET/CT in Newly Diagnosed Multiple Myeloma Patients. Mol Imaging Biol 2022; 24:842-851. [PMID: 35501622 PMCID: PMC9581841 DOI: 10.1007/s11307-022-01734-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 04/11/2022] [Accepted: 04/18/2022] [Indexed: 10/27/2022]
Abstract
PURPOSE [18F]FDG PET/CT in multiple myeloma (MM) is currently the best technology to demonstrate patchy and extramedullary disease. However, [18F]FDG PET has some limitations, and imaging with alternative tracers should be explored. In this study, we aimed to evaluate the performance of [18F]fluciclovine PET compared to [18F]FDG PET in newly diagnosed MM patients. PROCEDURES Thirteen newly diagnosed transplant eligible MM patients were imaged both with [18F]FDG PET/CT and [18F]fluciclovine PET/CT within 1 week in a prospective study. The subjects were visually assessed positive or negative for disease. The number of lesions and the SUVmax of selected lesions were measured for both tracers. Furthermore, tracer uptake ratios were obtained by dividing lesion SUVmax by blood or bone marrow SUVmax. Between-group differences and correlations were assessed with paired t-tests and Pearson tests. Bone marrow SUVs were compared to bone marrow plasma cell percentage in biopsy samples. RESULTS Nine subjects were assessed positively by [18F]FDG PET (69%) and 12 positives by [18F]fluciclovine PET (92%). All positive subjects had [18F]fluciclovine scans that were qualitatively scored as easier to interpret visually than the [18F]FDG scans. The number of lesions was also higher; seven of nine subjects with distinct hot spots on [18F]fluciclovine PET had fewer or no visible lesions on [18F]FDG PET. The mean lesion SUVmax values were 8.2 and 3.8 for [18F]fluciclovine and [18F]FDG, respectively. The mean tumour to blood values were 6.4 and 2.0 for [18F]fluciclovine and [18F]FDG, and the mean ratios between tumour and bone marrow were 2.1 and 1.5 for [18F]fluciclovine and [18F]FDG. The lesion SUVmax and ratios were significantly higher for [18F]fluciclovine (all p < 0.01). Local [18F]fluciclovine SUVmax or SUVmean values in os ilium and the percentage of plasma cells in bone marrow biopsies were linearly correlated (p = 0.048). There were no significant correlations between [18F]FDG SUVs and plasma cells (p = 0.82). CONCLUSIONS Based on this pilot study, [18F]fluciclovine is a promising tracer for MM. The visual and semi-quantitative evaluations indicate that [18F]fluciclovine PET/CT can out-perform [18F]FDG PET/CT at diagnosis.
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Affiliation(s)
- Caroline Stokke
- Division for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
- Dep. of Physics, University of Oslo, Oslo, Norway.
| | - Jakob Nordberg Nørgaard
- Oslo Myeloma Center, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Alexander Sherwani
- Division for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | | | - James Connelly
- Division for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Fredrik Schjesvold
- Oslo Myeloma Center, Oslo University Hospital, Oslo, Norway
- KG Jebsen Center for B Cell Malignancies, University of Oslo, Oslo, Norway
| | - Mona-Elisabeth Revheim
- Division for Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
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Jiménez-Segura R, Rosiñol L, Cibeira MT, Fernández de Larrea C, Tovar N, Rodríguez-Lobato LG, Bladé E, Moreno DF, Oliver-Caldés A, Bladé J. Paraskeletal and extramedullary plasmacytomas in multiple myeloma at diagnosis and at first relapse: 50-years of experience from an academic institution. Blood Cancer J 2022; 12:135. [PMID: 36114167 PMCID: PMC9481598 DOI: 10.1038/s41408-022-00730-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/23/2022] [Accepted: 08/31/2022] [Indexed: 11/14/2022] Open
Abstract
From January 1970 to December 2018, 1304 patients were diagnosed with multiple myeloma (MM) at our institution and 256 (19.6%) had plasmacytomas (Ps) (paraskeletal –PPs- 17.6%, extramedullary –EMPs-1.9%). Patients with Ps had lower serum M-protein and less advanced ISS stage than those without. At first relapse, 192 out of 967 patients (19.8%) developed Ps (PPs 14.6%, EMPs 5.1%). The only factor associated with Ps at relapse was the presence of Ps at diagnosis (46% vs 13%, p < 0.00001) with no impact with exposure to novel drugs or previous autologous stem-cell transplantation (ASCT). The median overall survival (OS) was 45, 44 and 20 months for patients without Ps, PPs and EMPs, respectively (p = 0.013). Patients with PPs who underwent ASCT had similar OS than those without Ps (98 vs. 113 months) and significantly longer than those with EMPs (98 vs 47 months, p = 0.006). In patients non-eligible for ASCT the presence of PPs or EMPs was associated with shorter OS compared with patients without Ps (32 vs. 24 vs. 6 months, p = 0.009). In the relapsed setting, a significant survival benefit was observed beyond the year 2000, but still with significant differences among patients without Ps, PPs and EMPs (37 vs 22 vs 16 months, p = 0.003). Importantly, rescue therapy with combinations of proteasome-inhibitors plus immunomodulatory drugs was associated with prolonged OS from first relapse (over 6 years), even in patients with EMPs.
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Steps towards a Multiple Myeloma Cure? J Pers Med 2022; 12:jpm12091451. [PMID: 36143236 PMCID: PMC9504254 DOI: 10.3390/jpm12091451] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/01/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022] Open
Abstract
Multiple myeloma survival has increased in last 20 years because of new treatments, better clinical management due to novel diagnostic tools such as imaging, and better understanding of the disease, biologically and genetically. Novel drugs have been introduced that act with different therapeutic mechanisms, but so have novel therapeutic strategies such as consolidation and maintenance after autologous stem cell transplant. Imaging (such as PET-CT and MRI) has been applied at diagnosis and after therapy for minimal residual disease monitoring. Multiparametric flow and molecular NGS may detect, with high-sensitivity, residual monoclonal plasma cells in the bone marrow. With this novel therapeutic and biological approach, a considerable fraction of multiple myeloma patients can achieve durable remission or even MGUS-like regression, which can ultimately lead to disease disappearance. The big dogma, “Myeloma is an incurable disease”, is hopefully fading.
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Zhang S, Shang J, Ye W, Zhao T, Xu H, Zeng H, Wang L. Recent developments on the application of molecular probes in multiple myeloma: Beyond [18F]FDG. Front Bioeng Biotechnol 2022; 10:920882. [PMID: 36091426 PMCID: PMC9459033 DOI: 10.3389/fbioe.2022.920882] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 07/29/2022] [Indexed: 11/13/2022] Open
Abstract
Multiple myeloma (MM) is a neoplastic plasma cell proliferative disorder characterized by various osteolytic bone destruction as a radiological morphological marker. Functional imaging, particularly nuclear medicine imaging, is a promising method to visualize disease processes before the appearance of structural changes by targeting specific biomarkers related to metabolism ability, tumor microenvironment as well as neoplastic receptors. In addition, by targeting particular antigens with therapeutic antibodies, immuno-PET imaging can support the development of personalized theranostics. At present, various imaging agents have been prepared and evaluated in MM at preclinical and clinical levels. A summary overview of molecular functional imaging in MM is provided, and commonly used radiotracers are characterized.
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Affiliation(s)
- Shaojuan Zhang
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jingjie Shang
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Weijian Ye
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Tianming Zhao
- Department of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hao Xu
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hui Zeng
- Department of Hematology, The First Affiliated Hospital of Jinan University, Guangzhou, China
- *Correspondence: Hui Zeng, ; Lu Wang,
| | - Lu Wang
- Center of Cyclotron and PET Radiopharmaceuticals, Department of Nuclear Medicine and PET/CT-MRI Center, The First Affiliated Hospital of Jinan University, Guangzhou, China
- *Correspondence: Hui Zeng, ; Lu Wang,
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Heidemeier A, Schloetelburg W, Thurner A, Metz C, Heidemeier H, Rasche L, Martin Kortuem K, Boeckle D, Weiland E, Benkert T, Nickel D, Werner R, Buck AK, Bley TA. Multi-parametric whole-body MRI evaluation discerns vital from non-vital multiple myeloma lesions as validated by 18F-FDG and 11C-methionine PET/CT. Eur J Radiol 2022; 155:110493. [PMID: 36027759 DOI: 10.1016/j.ejrad.2022.110493] [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: 12/29/2021] [Revised: 08/04/2022] [Accepted: 08/15/2022] [Indexed: 11/03/2022]
Abstract
PURPOSE We tested a novel multi-parametric (mp) whole body (WB)-MRI evaluation algorithm for medullary lesions in comparison to positron emission tomography (PET) radiotracers 18F-fluorodeoxyglucose (18F-FDG) and 11C-methionine (11C-MET). METHODS AND MATERIALS This retrospective single-center study included 44 MM patients, who received both 18F-FDG-PET and WB-MRI within ten days. MRI classified focal lesions as vital when showing 1) significant diffusion-restriction, 2) a fat fraction (FF) less than 20 % and 3) homogenous hypointensity on T2-weighted images. On a lesion-by-lesion level the findings were compared to 18F-FDG PET by using a 5-point scoring system (analogous to the Deauville score [DS]). In 24/44 (55 %) patients additional comparison to 11C-MET PET was available. RESULTS Among two radiologists, an excellent inter-observer reliability for mpWB-MRI in a total of 84 medullary lesions was observed (ICC = 1, k = 1, p <.01). 16/17 (94.1 %) MRI-classified vital lesions had a DS of 4 or 5 on either 18F-FDG-PET or 11C-MET-PET. MRI-rated non-vital lesions correlated with PET-based DS ≤ 3. When results of mpWB-MRI were compared to 18F-FDG, a fair inter-observer agreement was recorded (ICC = 0.52, k = 0.53, p <.01), while for 11C-MET, an excellent concordance rate was achieved (ICC = 0.81, k = 0.79, p <.01). CONCLUSION The proposed mpWB-MRI interpretation algorithm allowed to assess tumor activity of myeloma lesions with high inter-observer reproducibility. We observed a substantial concordance between the mpWB-MRI classification of lesions and PET assessment based on a semi-automatically calculated 5-point scoring system analogous to the Deauville scores.
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Affiliation(s)
- Anke Heidemeier
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany.
| | - Wiebke Schloetelburg
- Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Annette Thurner
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Corona Metz
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Heike Heidemeier
- Department of Psychology, Private University Göttingen, Weender Landstrasse 3-7, 37073 Göttingen, Germany
| | - Leo Rasche
- Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - K Martin Kortuem
- Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - David Boeckle
- Department of Internal Medicine II, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Elisabeth Weiland
- Department of MR Application Predevelopment, Siemens Healthcare, 91301 Erlangen, Germany
| | - Thomas Benkert
- Department of MR Application Predevelopment, Siemens Healthcare, 91301 Erlangen, Germany
| | - Dominik Nickel
- Department of MR Application Predevelopment, Siemens Healthcare, 91301 Erlangen, Germany
| | - Rudolf Werner
- Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Andreas Konrad Buck
- Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
| | - Thorsten Alexander Bley
- Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstr 6, 97080 Würzburg, Germany
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50
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Rasche L, Schinke C, Maura F, Bauer MA, Ashby C, Deshpande S, Poos AM, Zangari M, Thanendrarajan S, Davies FE, Walker BA, Barlogie B, Landgren O, Morgan GJ, van Rhee F, Weinhold N. The spatio-temporal evolution of multiple myeloma from baseline to relapse-refractory states. Nat Commun 2022; 13:4517. [PMID: 35922426 PMCID: PMC9349320 DOI: 10.1038/s41467-022-32145-y] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 07/19/2022] [Indexed: 11/18/2022] Open
Abstract
Deciphering Multiple Myeloma evolution in the whole bone marrow is key to inform curative strategies. Here, we perform spatial-longitudinal whole-exome sequencing, including 140 samples collected from 24 Multiple Myeloma patients during up to 14 years. Applying imaging-guided sampling we observe three evolutionary patterns, including relapse driven by a single-cell expansion, competing/co-existing sub-clones, and unique sub-clones at distinct locations. While we do not find the unique relapse sub-clone in the baseline focal lesion(s), we show a close phylogenetic relationship between baseline focal lesions and relapse disease, highlighting focal lesions as hotspots of tumor evolution. In patients with ≥3 focal lesions on positron-emission-tomography at diagnosis, relapse is driven by multiple distinct sub-clones, whereas in other patients, a single-cell expansion is typically seen (p < 0.01). Notably, we observe resistant sub-clones that can be hidden over years, suggesting that a prerequisite for curative therapies would be to overcome not only tumor heterogeneity but also dormancy.
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Affiliation(s)
- Leo Rasche
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany
- Mildred Scheel Early Career Center (MSNZ), University Hospital of Würzburg, Würzburg, Germany
| | - Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Francesco Maura
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Michael A Bauer
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Cody Ashby
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Shayu Deshpande
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Alexandra M Poos
- Department of Internal Medicine V, University Hospital of Heidelberg, Heidelberg, Germany
| | - Maurizio Zangari
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | | | - Faith E Davies
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Brian A Walker
- Division of Hematology Oncology, Indiana University, Indianapolis, IN, USA
| | - Bart Barlogie
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Ola Landgren
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Gareth J Morgan
- Perlmutter Cancer Center, New York University Langone Health, New York, NY, USA
| | - Frits van Rhee
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Niels Weinhold
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
- Department of Internal Medicine V, University Hospital of Heidelberg, Heidelberg, Germany.
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