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Gao Y, Wang Q, Zhang L, Li S, Liu D, Wang S, Zhu J, Zhang H, Xie S, Xia S, Huang W, Xue H, Li J. Treatment Response Assessment in Multiple Myeloma: Histogram Analysis of Total Tumor Apparent Diffusion Coefficient based on Whole-body Diffusion-weighted MR Imaging. J Magn Reson Imaging 2024; 60:1051-1060. [PMID: 38088500 DOI: 10.1002/jmri.29155] [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: 09/06/2023] [Revised: 11/14/2023] [Accepted: 11/15/2023] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND The International Myeloma Working Group (IMWG) consensus criteria for response assessment in multiple myeloma (MM) has methodological limitations. Whole-body diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) histogram analysis may be complementary to response assessment of MM. PURPOSE To explore the role of histogram analysis of the ADC based on the total tumor volume (ttADC) in response assessment in patients with newly diagnosed MM (NDMM). STUDY TYPE Retrospective. POPULATION Thirty-six patients with NDMM. FIELD STRENGTH/SEQUENCE 3.0T/single-shot DWI echo planar imaging (EPI) sequence with an integrated slice-by-slice shimming (iShim) technique. ASSESSMENT Baseline (median: 1 day before treatment) and post-treatment (median: five cycles of therapy) whole-body DWI were analyzed. A region of interest (ROI) containing lesions on every section of baseline image was drawn to derive the per-patient total tumor data. Post-treatment image analysis was based on the same ROI as the corresponding baseline. Histogram metrics were extracted from both ROIs. Patients were categorized into the very good partial response or better (VGPR+) group and the less than VGPR group per the IMWG response criteria for response assessment. Progression-free survival (PFS) was also calculated. STATISTICAL TESTS Mann-Whitney test and Fisher's exact or Chi-squared tests, Receiver operating characteristic (ROC) analysis and DeLong test, Kaplan-Meier analysis and Cox proportional hazards model. A two-tailed P-value <0.05 was considered statistically significant. RESULTS Thirty patients were categorized into the VGPR+ group and six into the less than VGPR group. The ttADC histogram changes between post-treatment and baseline metrics (ΔttADC) revealed significant differences in all percentile values between the VGPR+ and less than VGPR groups. For distinguishing VGPR+, ΔttADC_5th percentile had the largest area under the curve (AUC) (0.950, 95% CI 0.821-0.995). Patients with lower ΔttADC_5th percentile values (cutoff point, 188.193) showed significantly longer PFS (HR = 34.911, 95% CI 6.392-190.677). DATA CONCLUSION ttADC histogram may facilitate response assessment in patients with NDMM. LEVEL OF EVIDENCE 3 TECHNICAL EFFICACY: Stage 4.
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Affiliation(s)
- Yuhan Gao
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Qin Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Lu Zhang
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Shuo Li
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Dong Liu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Shitian Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Jinxia Zhu
- MR Research Collaboration, Siemens Healthineers Ltd., Beijing, China
| | - Haibo Zhang
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Sheng Xie
- Department of Radiology, China-Japan Friendship Hospital, Beijing, China
| | - Shuang Xia
- Department of Radiology, Tianjin First Central Hospital, Nankai University, Tianjin, China
| | - Wenyang Huang
- Department of Lymphoma, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences, Tianjin, China
| | - Huadan Xue
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Jian Li
- Department of Hematology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
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Liu Y, Huang W, Yang Y, Cai W, Sun Z. Recent advances in imaging and artificial intelligence (AI) for quantitative assessment of multiple myeloma. AMERICAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING 2024; 14:208-229. [PMID: 39309415 PMCID: PMC11411189 DOI: 10.62347/nllv9295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 07/18/2024] [Indexed: 09/25/2024]
Abstract
Multiple myeloma (MM) is a malignant blood disease, but there have been significant improvements in the prognosis due to advancements in quantitative assessment and targeted therapy in recent years. The quantitative assessment of MM bone marrow infiltration and prognosis prediction is influenced by imaging and artificial intelligence (AI) quantitative parameters. At present, the primary imaging methods include computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). These methods are now crucial for diagnosing MM and evaluating myeloma cell infiltration, extramedullary disease, treatment effectiveness, and prognosis. Furthermore, the utilization of AI, specifically incorporating machine learning and radiomics, shows great potential in the field of diagnosing MM and distinguishing between MM and lytic metastases. This review discusses the advancements in imaging methods, including CT, MRI, and PET/CT, as well as AI for quantitatively assessing MM. We have summarized the key concepts, advantages, limitations, and diagnostic performance of each technology. Finally, we discussed the challenges related to clinical implementation and presented our views on advancing this field, with the aim of providing guidance for future research.
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Affiliation(s)
- Yongshun Liu
- Department of Nuclear Medicine, Peking University First HospitalBeijing 100034, China
| | - Wenpeng Huang
- Department of Nuclear Medicine, Peking University First HospitalBeijing 100034, China
| | - Yihan Yang
- Department of Nuclear Medicine, Peking University First HospitalBeijing 100034, China
| | - Weibo Cai
- Department of Radiology and Medical Physics, University of Wisconsin-MadisonMadison, WI 53705, USA
| | - Zhaonan Sun
- Department of Medical Imaging, Peking University First HospitalBeijing 100034, China
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Van Den Berghe T, Verberckmoes B, Kint N, Wallaert S, De Vos N, Algoet C, Behaeghe M, Dutoit J, Van Roy N, Vlummens P, Dendooven A, Van Dorpe J, Offner F, Verstraete K. Predicting cytogenetic risk in multiple myeloma using conventional whole-body MRI, spinal dynamic contrast-enhanced MRI, and spinal diffusion-weighted imaging. Insights Imaging 2024; 15:106. [PMID: 38597979 PMCID: PMC11006637 DOI: 10.1186/s13244-024-01672-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024] Open
Abstract
OBJECTIVES Cytogenetic abnormalities are predictors of poor prognosis in multiple myeloma (MM). This paper aims to build and validate a multiparametric conventional and functional whole-body MRI-based prediction model for cytogenetic risk classification in newly diagnosed MM. METHODS Patients with newly diagnosed MM who underwent multiparametric conventional whole-body MRI, spinal dynamic contrast-enhanced (DCE-)MRI, spinal diffusion-weighted MRI (DWI) and had genetic analysis were retrospectively included (2011-2020/Ghent University Hospital/Belgium). Patients were stratified into standard versus intermediate/high cytogenetic risk groups. After segmentation, 303 MRI features were extracted. Univariate and model-based methods were evaluated for feature and model selection. Testing was performed using receiver operating characteristic (ROC) and precision-recall curves. Models comparing the performance for genetic risk classification of the entire MRI protocol and of all MRI sequences separately were evaluated, including all features. Four final models, including only the top three most predictive features, were evaluated. RESULTS Thirty-one patients were enrolled (mean age 66 ± 7 years, 15 men, 13 intermediate-/high-risk genetics). None of the univariate models and none of the models with all features included achieved good performance. The best performing model with only the three most predictive features and including all MRI sequences reached a ROC-area-under-the-curve of 0.80 and precision-recall-area-under-the-curve of 0.79. The highest statistical performance was reached when all three MRI sequences were combined (conventional whole-body MRI + DCE-MRI + DWI). Conventional MRI always outperformed the other sequences. DCE-MRI always outperformed DWI, except for specificity. CONCLUSIONS A multiparametric MRI-based model has a better performance in the noninvasive prediction of high-risk cytogenetics in newly diagnosed MM than conventional MRI alone. CRITICAL RELEVANCE STATEMENT An elaborate multiparametric MRI-based model performs better than conventional MRI alone for the noninvasive prediction of high-risk cytogenetics in newly diagnosed multiple myeloma; this opens opportunities to assess genetic heterogeneity thus overcoming sampling bias. KEY POINTS • Standard genetic techniques in multiple myeloma patients suffer from sampling bias due to tumoral heterogeneity. • Multiparametric MRI noninvasively predicts genetic risk in multiple myeloma. • Combined conventional anatomical MRI, DCE-MRI, and DWI had the highest statistical performance to predict genetic risk. • Conventional MRI alone always outperformed DCE-MRI and DWI separately to predict genetic risk. DCE-MRI alone always outperformed DWI separately, except for the parameter specificity to predict genetic risk. • This multiparametric MRI-based genetic risk prediction model opens opportunities to noninvasively assess genetic heterogeneity thereby overcoming sampling bias in predicting genetic risk in multiple myeloma.
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Affiliation(s)
- Thomas Van Den Berghe
- Department of Radiology and Medical Imaging, Ghent University Hospital, Building -1K12, Corneel Heymanslaan 10, Ghent, B-9000, Belgium.
| | - Bert Verberckmoes
- Department of Radiology and Medical Imaging, Ghent University Hospital, Building -1K12, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Nicolas Kint
- Department of Clinical Hematology, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Steven Wallaert
- Department of Biostatistics, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Nicolas De Vos
- Department of Radiology and Medical Imaging, Ghent University Hospital, Building -1K12, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Chloé Algoet
- Department of Radiology and Medical Imaging, Ghent University Hospital, Building -1K12, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Maxim Behaeghe
- Department of Radiology and Medical Imaging, Ghent University Hospital, Building -1K12, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Julie Dutoit
- Department of Radiology and Medical Imaging, Ghent University Hospital, Building -1K12, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Nadine Van Roy
- Center for Medical Genetics, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Philip Vlummens
- Department of Clinical Hematology, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Amélie Dendooven
- Department of Pathology, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Jo Van Dorpe
- Department of Pathology, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Fritz Offner
- Department of Clinical Hematology, Ghent University Hospital, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
| | - Koenraad Verstraete
- Department of Radiology and Medical Imaging, Ghent University Hospital, Building -1K12, Corneel Heymanslaan 10, Ghent, B-9000, Belgium
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Maxouri O, Bodalal Z, Daal M, Rostami S, Rodriguez I, Akkari L, Srinivas M, Bernards R, Beets-Tan R. How to 19F MRI: applications, technique, and getting started. BJR Open 2023; 5:20230019. [PMID: 37953866 PMCID: PMC10636348 DOI: 10.1259/bjro.20230019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 07/26/2023] [Accepted: 08/01/2023] [Indexed: 11/14/2023] Open
Abstract
Magnetic resonance imaging (MRI) plays a significant role in the routine imaging workflow, providing both anatomical and functional information. 19F MRI is an evolving imaging modality where instead of 1H, 19F nuclei are excited. As the signal from endogenous 19F in the body is negligible, exogenous 19F signals obtained by 19F radiofrequency coils are exceptionally specific. Highly fluorinated agents targeting particular biological processes (i.e., the presence of immune cells) have been visualised using 19F MRI, highlighting its potential for non-invasive and longitudinal molecular imaging. This article aims to provide both a broad overview of the various applications of 19F MRI, with cancer imaging as a focus, as well as a practical guide to 19F imaging. We will discuss the essential elements of a 19F system and address common pitfalls during acquisition. Last but not least, we will highlight future perspectives that will enhance the role of this modality. While not an exhaustive exploration of all 19F literature, we endeavour to encapsulate the broad themes of the field and introduce the world of 19F molecular imaging to newcomers. 19F MRI bridges several domains, imaging, physics, chemistry, and biology, necessitating multidisciplinary teams to be able to harness this technology effectively. As further technical developments allow for greater sensitivity, we envision that 19F MRI can help unlock insight into biological processes non-invasively and longitudinally.
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Affiliation(s)
| | | | | | | | | | - Leila Akkari
- Division of Tumor Biology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - René Bernards
- Division of Molecular Carcinogenesis, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Pop VS, Tomoaia G, Parvu A. Modern imaging techniques for monitoring patients with multiple myeloma. Med Pharm Rep 2022; 95:377-384. [PMID: 36506611 PMCID: PMC9694753 DOI: 10.15386/mpr-2215] [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: 05/18/2021] [Revised: 12/12/2021] [Accepted: 12/30/2021] [Indexed: 12/15/2022] Open
Abstract
Bone disease is a serious problem for many patients, often causing pathological bone fractures. A spinal collapse is a condition that affects the quality of life. It is the most frequent feature of multiple myeloma (MM), used in establishing the diagnosis and the need to start treatment. Because of these complications, imaging plays a vital role in the diagnosis and workup of myeloma patients. For many years, conventional radiography has been considered the gold standard for detecting bone lesions. The main reasons are the wide availability, low cost, the relatively low radiation dose and the ability of this imaging method to cover the entire bone system. Because of its incapacity to evaluate the response to therapy, more sophisticated techniques such as whole-body low-dose computed tomography (WBLDCT), whole-body magnetic resonance imaging, and 18F-fluorodeoxyglucose-positron emission tomography/computed tomography (PET/CT) are used. In this review, some of the advantages, indications and applications of the three techniques in managing patients with MM will be discussed. The European Myeloma Network guidelines have recommended WBLDCT as the imaging modality of choice for the initial assessment of MM-related lytic bone lesions. Magnetic resonance imaging is the gold-standard imaging modality for the detection of bone marrow involvement. One of the modern imaging methods and PET/CT can provide valuable prognostic data and is the preferred technique for assessing response to therapy.
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Affiliation(s)
- Vlad Stefan Pop
- Hematology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; Hematology Department, “Prof. Dr. Ioan Chiricuta” Oncological Institute, Cluj-Napoca, Romania
| | - Gheorghe Tomoaia
- Orthopedics and Traumatology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania,Academy of Romanian Scientists, Bucharest, Romania
| | - Andrada Parvu
- Hematology Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; Hematology Department, “Prof. Dr. Ioan Chiricuta” Oncological Institute, Cluj-Napoca, Romania
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Koutoulidis V, Terpos E, Papanikolaou N, Fontara S, Seimenis I, Gavriatopoulou M, Ntanasis-Stathopoulos I, Bourgioti C, Santinha J, Moreira JM, Kastritis E, Dimopoulos MA, Moulopoulos LA. Comparison of MRI Features of Fat Fraction and ADC for Early Treatment Response Assessment in Participants with Multiple Myeloma. Radiology 2022; 304:137-144. [PMID: 35380497 DOI: 10.1148/radiol.211388] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Background An imaging-based predictor of response could provide prognostic information early during treatment course in patients with multiple myeloma (MM). Purpose To investigate if very early changes in bone marrow relative fat fraction (rFF) and apparent diffusion coefficient (ADC) histogram metrics, occurring after one cycle of induction therapy in participants with newly diagnosed MM, could help predict overall best response status. Materials and Methods This prospective study included participants with MM who were enrolled between August 2014 and December 2017. Histogram metrics were extracted from ADC and rFF maps from MRI examinations performed before treatment and after the first treatment cycle. Participants were categorized into the very good partial response (VGPR) or better group and the less than VGPR group per the International Myeloma Working Group response criteria. ADC and rFF map metrics for predicting treatment response were compared using the Wilcoxon rank test, and the false discovery rate (FDR) was used to correct for multiple comparisons. Results A total of 23 participants (mean age, 65 years ± 11 [SD]; 13 men) were evaluated. There was no evidence of a difference in ADC metrics between the two responder groups after correcting for multiple comparisons. The rFF histogram changes between pretreatment MRI and MRI after the first treatment cycle (ΔrFF) that provided significant differences between the VGPR or better and less than VGPR groups were as follows: ΔrFF_10th Percentile (median, 0.5 [95% CI: 0, 1] vs -2.5 [95% CI: -5.1, 0.1], respectively), ΔrFF_90th Percentile (median, 2 [95% CI: 1, 6.8] vs -0.5 [95% CI: -1, 0]), ΔrFF_Mean (median, 3.4 [95% CI: 0.3, 7.6] vs -1.1 [95% CI: -1.8, -0.7]), and ΔrFF_Root Mean Squared (median, 3.2 [95% CI: 0.3, 6.1] vs -0.7 [95% CI: -1.3, -0.4]) (FDR-adjusted P = .03 for all), and the latter two also presented mean group increases in the VGPR or better group that were above the upper 95% CI limit for repeatability. Conclusion Very early changes in bone marrow relative fat fraction histogram metrics, calculated from MRI examination at baseline and after only one cycle of induction therapy, may help to predict very good partial response or better in participants with newly diagnosed multiple myeloma. © RSNA, 2022 Online supplemental material is available for this article.
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Affiliation(s)
- Vassilis Koutoulidis
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Evangelos Terpos
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Nikolaos Papanikolaou
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Sophia Fontara
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Ioannis Seimenis
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Maria Gavriatopoulou
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Ioannis Ntanasis-Stathopoulos
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Charis Bourgioti
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - João Santinha
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - José Maria Moreira
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Efstathios Kastritis
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Meletios A Dimopoulos
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
| | - Lia A Moulopoulos
- From the 1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 76 Vas. Sophias Ave, 11528 Athens, Greece (V.K., S.F., C.B., L.A.M.); Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, Athens, Greece (E.T., M.G., I.N.S., E.K., M.A.D.); Computational Clinical Imaging Group, Center for the Unknown, Champalimaud Foundation, Lisbon, Portugal (N.P., J.S., J.M.M.); and Department of Medical Physics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece (I.S.)
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Review of diffusion-weighted imaging and dynamic contrast-enhanced MRI for multiple myeloma and its precursors (monoclonal gammopathy of undetermined significance and smouldering myeloma). Skeletal Radiol 2022; 51:101-122. [PMID: 34523007 DOI: 10.1007/s00256-021-03903-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 08/25/2021] [Accepted: 09/04/2021] [Indexed: 02/02/2023]
Abstract
The last decades, increasing research has been conducted on dynamic contrast-enhanced and diffusion-weighted MRI techniques in multiple myeloma and its precursors. Apart from anatomical sequences which are prone to interpretation errors due to anatomical variants, other pathologies and subjective evaluation of signal intensities, dynamic contrast-enhanced and diffusion-weighted MRI provide additional information on microenvironmental changes in bone marrow and are helpful in the diagnosis, staging and follow-up of plasma cell dyscrasias. Diffusion-weighted imaging provides information on diffusion (restriction) of water molecules in bone marrow and in malignant infiltration. Qualitative evaluation by visually assessing images with different diffusion sensitising gradients and quantitative evaluation of the apparent diffusion coefficient are studied extensively. Dynamic contrast-enhanced imaging provides information on bone marrow vascularisation, perfusion, capillary resistance, vascular permeability and interstitial space, which are systematically altered in different disease stages and can be evaluated in a qualitative and a (semi-)quantitative manner. Both diffusion restriction and abnormal dynamic contrast-enhanced MRI parameters are early biomarkers of malignancy or disease progression in focal lesions or in regions with diffuse abnormal signal intensities. The added value for both techniques lies in better detection and/or characterisation of abnormal bone marrow otherwise missed or misdiagnosed on anatomical MRI sequences. Increased detection rates of focal lesions or diffuse bone marrow infiltration upstage patients to higher disease stages, provide earlier access to therapy and slower disease progression and allow closer monitoring of high-risk patients. Despite promising results, variations in imaging protocols, scanner types and post-processing methods are large, thus hampering universal applicability and reproducibility of quantitative imaging parameters. The myeloma response assessment and diagnosis system and the international myeloma working group provide a systematic multicentre approach on imaging and propose which parameters to use in multiple myeloma and its precursors in an attempt to overcome the pitfalls of dynamic contrast-enhanced and diffusion-weighted imaging.Single sentence summary statementDiffusion-weighted imaging and dynamic contrast-enhanced MRI provide important additional information to standard anatomical MRI techniques for diagnosis, staging and follow-up of patients with plasma cell dyscrasias, although some precautions should be taken on standardisation of imaging protocols to improve reproducibility and application in multiple centres.
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Lecouvet FE, Vekemans MC, Van Den Berghe T, Verstraete K, Kirchgesner T, Acid S, Malghem J, Wuts J, Hillengass J, Vandecaveye V, Jamar F, Gheysens O, Vande Berg BC. Imaging of treatment response and minimal residual disease in multiple myeloma: state of the art WB-MRI and PET/CT. Skeletal Radiol 2022; 51:59-80. [PMID: 34363522 PMCID: PMC8626399 DOI: 10.1007/s00256-021-03841-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 05/28/2021] [Accepted: 06/06/2021] [Indexed: 02/02/2023]
Abstract
Bone imaging has been intimately associated with the diagnosis and staging of multiple myeloma (MM) for more than 5 decades, as the presence of bone lesions indicates advanced disease and dictates treatment initiation. The methods used have been evolving, and the historical radiographic skeletal survey has been replaced by whole body CT, whole body MRI (WB-MRI) and [18F]FDG-PET/CT for the detection of bone marrow lesions and less frequent extramedullary plasmacytomas.Beyond diagnosis, imaging methods are expected to provide the clinician with evaluation of the response to treatment. Imaging techniques are consistently challenged as treatments become more and more efficient, inducing profound response, with more subtle residual disease. WB-MRI and FDG-PET/CT are the methods of choice to address these challenges, being able to assess disease progression or response and to detect "minimal" residual disease, providing key prognostic information and guiding necessary change of treatment.This paper provides an up-to-date overview of the WB-MRI and PET/CT techniques, their observations in responsive and progressive disease and their role and limitations in capturing minimal residual disease. It reviews trials assessing these techniques for response evaluation, points out the limited comparisons between both methods and highlights their complementarity with most recent molecular methods (next-generation flow cytometry, next-generation sequencing) to detect minimal residual disease. It underlines the important role of PET/MRI technology as a research tool to compare the effectiveness and complementarity of both methods to address the key clinical questions.
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Affiliation(s)
- Frederic E. Lecouvet
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Marie-Christiane Vekemans
- Haematology Unit, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique (IREC), 1200 Brussels, Belgium
| | - Thomas Van Den Berghe
- Radiology Department, Universiteit Ghent, Sint-Pietersnieuwstraat 33, 9000 Gent, Belgium
| | - Koenraad Verstraete
- Radiology Department, Universiteit Ghent, Sint-Pietersnieuwstraat 33, 9000 Gent, Belgium
| | - Thomas Kirchgesner
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Souad Acid
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Jacques Malghem
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
| | - Joris Wuts
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Avenue du Laerbeek 101, 1090 Jette, Belgium
| | - Jens Hillengass
- Departement of Medicine, Myeloma Unit, Park Comprehensive Cancer Center, Buffalo, NY USA
| | - Vincent Vandecaveye
- Radiology Department, Katholieke Univesiteit Leuven, Oude Markt, 13, 3000 Leuven, Belgium
| | - François Jamar
- Nuclear Medicine Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium
| | - Olivier Gheysens
- Nuclear Medicine Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium
| | - Bruno C. Vande Berg
- Radiology Department, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint-Luc, UCLouvain, Hippocrate Avenue 10, 1200 Brussels, Belgium
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Abstract
BACKGROUND Plasma cell dyscrasias are a spectrum of diseases characterized by clonal plasma cell proliferation. Important entities within this group are monoclonal gammopathy of unknown significance, smoldering multiple myeloma, and symptomatic multiple myeloma. PURPOSE The goal of this review is to illustrate plasma cell dyscrasia imaging findings of bone and bone marrow as seen on whole-body computed tomography (CT) and magnetic resonance imaging (MRI) and to discuss the relevance of imaging for management of patients with plasma cell dyscrasias. MATERIALS AND METHODS Selective literature search with analysis of dedicated original research articles and reviews and discussion of clinical guidelines. RESULTS Diagnostic classification of plasma cell dyscrasias is based on the SLiM-CRAB criteria. CT primarily represents imaging of mineralized bone to show osseous end organ damage by detecting osteodestruction. MRI is primarily used for bone marrow imaging to detect diffuse or focal bone marrow infiltration, even in the absence of bone destruction. Different patterns of bone marrow infiltration can be distinguished. Treatment response is associated with characteristic imaging signs of lesion regression. CONCLUSION Imaging plays a prominent role in treatment stratification of patients with plasma cell dyscrasia at first diagnosis and during follow-up.
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Lee K, Kim KW, Ko Y, Park HY, Chae EJ, Lee JH, Ryu JS, Chung HW. Comprehensive Updates in the Role of Imaging for Multiple Myeloma Management Based on Recent International Guidelines. Korean J Radiol 2021; 22:1497-1513. [PMID: 34448381 PMCID: PMC8390819 DOI: 10.3348/kjr.2020.0886] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Revised: 01/18/2021] [Accepted: 01/31/2021] [Indexed: 02/02/2023] Open
Abstract
The diagnostic and treatment methods of multiple myeloma (MM) have been rapidly evolving owing to advances in imaging techniques and new therapeutic agents. Imaging has begun to play an important role in the management of MM, and international guidelines are frequently updated. Since the publication of 2015 International Myeloma Working Group (IMWG) criteria for the diagnosis of MM, whole-body magnetic resonance imaging (MRI) or low-dose whole-body computed tomography (CT) and 18F-fluorodeoxyglucose positron emission tomography/CT have entered the mainstream as diagnostic and treatment response assessment tools. The 2019 IMWG guidelines also provide imaging recommendations for various clinical settings. Accordingly, radiologists have become a key component of MM management. In this review, we provide an overview of updates in the MM field with an emphasis on imaging modalities.
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Affiliation(s)
- Koeun Lee
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.,Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea.,Department of Nuclear Medicine, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyung Won Kim
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.,Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea
| | - Yousun Ko
- Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Korea
| | - Ho Young Park
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Eun Jin Chae
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jeong Hyun Lee
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jin-Sook Ryu
- Department of Nuclear Medicine, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Hye Won Chung
- Department of Radiology, Asan Image Metrics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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11
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Sun M, Cheng J, Ren C, Zhang Y, Li Y, Li Y, Zhang S. Quantitative whole-body MR imaging for assessment of tumor burden in patients with multiple myeloma: correlation with prognostic biomarkers. Quant Imaging Med Surg 2021; 11:3767-3780. [PMID: 34341748 DOI: 10.21037/qims-20-1361] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 04/01/2021] [Indexed: 12/18/2022]
Abstract
Background To assess the quantification of tumor burden in multiple myeloma (MM) patients using whole-body magnetic resonance imaging (MRI) and to identify the correlation between MRI parameters and prognostic biomarkers. Methods We retrospectively analyzed 95 newly diagnosed MM patients treated at our hospital from June 2018 to March 2020. All patients underwent whole-body MRI examination, including diffusion-weighted whole-body imaging with background body signal suppression (DWIBS), modified Dixon chemical-shift imaging (mDIXON), and short TI inversion recovery (STIR) sequences. The MRI presentation was used to determine MM infiltration patterns and calculate apparent diffusion coefficient (ADC) and a fat fraction (FF). The one-way ANOVA and Kruskal-Wallis test were used to compare the differences of these values between DS, ISS, and R-ISS stages in different MM infiltration patterns. Spearman correlation test was used for correlation analysis of ADC and FF against prognostic biomarkers, and two independent sample t-test was used to evaluate the differences of ADC and FF in different free light-chain ratio groups. Results The MRI presentation was classified into normal pattern (36 patients; 37.9%), diffuse (27 patients; 28.4%), and focal (32 patients; 33.7%) infiltration patterns. Statistically significant ADC and FF differences between different DS, ISS, and R-ISS stages were observed in normal/diffuse infiltration patterns but not in focal infiltration patterns. The ADC and FF of the normal/diffuse infiltration pattern showed correlations with hemoglobin, β2-microglobulin, bone marrow plasma cells, flow cytometry of bone marrow cells, and serum monoclonal protein. In contrast, ADC in focal infiltration patterns was negatively correlated with β2-microglobulin and C-reactive protein. The FF of patients with a normal/diffuse infiltration pattern was higher in the low free light-chain ratio group than that in the high free light-chain ratio group (P=0.023). Conclusions Our observations indicate that quantitative whole-body functional MRI examination may serve as an effective complement to imaging diagnosis based on morphology and provide further information on the tumor burden of patients with MM.
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Affiliation(s)
- Mengtian Sun
- Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jingliang Cheng
- Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Cuiping Ren
- Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yong Zhang
- Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yinhua Li
- Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ying Li
- Department of Magnetic Resonance, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Suping Zhang
- Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Yamada A, Araki Y, Tanaka Y, Otsuki S, Yamada A, Moriyama M, Katagiri S, Suguro T, Asano M, Yoshizawa S, Akahane D, Furuya N, Fujimoto H, Okabe S, Gotoh M, Suzuki K, Saito K, Gotoh A. Relevance of diffusion-weighted imaging with background body signal suppression for staging, prognosis, morphology, treatment response, and apparent diffusion coefficient in plasma-cell neoplasms: A single-center, retrospective study. PLoS One 2021; 16:e0253025. [PMID: 34242226 PMCID: PMC8270139 DOI: 10.1371/journal.pone.0253025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 05/26/2021] [Indexed: 12/14/2022] Open
Abstract
Accurate staging and evaluation of therapeutic effects are important in managing plasma-cell neoplasms. Diffusion-weighted imaging with body signal suppression magnetic resonance imaging (DWIBS-MRI) allows for acquisition of whole-body volumetric data without radiation exposure. This study aimed to investigate the usefulness of DWIBS-MRI in plasma-cell neoplasms. We retrospectively analyzed 29 and 8 Japanese patients with multiple myeloma and monoclonal gammopathy of undetermined significance, respectively, who underwent DWIBS-MRI. We conducted a histogram analysis of apparent diffusion coefficient values. The correlations between each histogram parameter and staging, cell maturation, prognosis, and treatment response were evaluated. We found that the apparent diffusion coefficient values in patients with monoclonal gammopathy of undetermined significance were lower than those in patients with multiple myeloma. Pretreatment apparent diffusion coefficient values of immature myeloma were lower than those of mature myeloma. Moreover, these values decreased in proportion to stage progression in Durie-Salmon classification system but showed no significant correlation with other staging systems or prognosis. Patients were stratified as responder, stable, and non-responder based on the International Myeloma Working Group criteria. The magnitude of changes in apparent diffusion coefficients differed significantly between responders and non-responders (0.154 ± 0.386 ×10-3 mm2/s vs. -0.307 ± 0.424 ×10-3 mm2/s, p = 0.003). Although its usefulness has yet to be established, DWIBS-MRI combined with apparent diffusion coefficient measurement allowed for excellent response evaluation in patients with multiple myeloma. Furthermore, apparent diffusion coefficient analysis using DWIBS-MRI may be useful in predicting cell maturation and total tumor volume.
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Affiliation(s)
- Akiko Yamada
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Yoichi Araki
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Yuko Tanaka
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Shunsuke Otsuki
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Arisa Yamada
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Mitsuru Moriyama
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | | | - Tamiko Suguro
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Michiyo Asano
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | | | - Daigo Akahane
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Nahoko Furuya
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Hiroaki Fujimoto
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Seiichi Okabe
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Moritaka Gotoh
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
| | - Kunihito Suzuki
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Kazuhiro Saito
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Akihiko Gotoh
- Department of Hematology, Tokyo Medical University, Tokyo, Japan
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13
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Ippolito D, Giandola T, Maino C, Gandola D, Ragusi M, Brambilla P, Bonaffini PA, Sironi S. Diagnostic Value of Whole-Body MRI Short Protocols in Bone Lesion Detection in Multiple Myeloma Patients. Diagnostics (Basel) 2021; 11:diagnostics11061053. [PMID: 34201122 PMCID: PMC8226715 DOI: 10.3390/diagnostics11061053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 05/29/2021] [Accepted: 06/04/2021] [Indexed: 02/05/2023] Open
Abstract
The aim of the study is to evaluate the effectiveness of short whole-body magnetic resonance imaging (WBMRI) protocols for the overall assessment of bone marrow involvement in patients with multiple myeloma (MM), in comparison with standard whole-body MRI protocol. Patients with biopsy-proven MM, who underwent a WBMRI with full-body coverage (from vertex to feet) were retrospectively enrolled. WBMRI images were independently evaluated by two expert radiologists, in terms of infiltration patterns (normal, focal, diffuse, and combined), according to location (the whole skeleton was divided into six anatomic districts: skull, spine, sternum and ribs, upper limbs, pelvis and proximal two-thirds of the femur, remaining parts of lower limbs) and lytic lesions number (<5, 5-20, and >20). The majority of patients showed focal and combined infiltration patterns with bone lesions predominantly distributed in the spine and pelvis. As skull and lower limbs are less frequently involved by focal bone lesions, excluding them from the standard MRI protocol allows to obtain a shorter protocol, maintaining a good diagnostic value.
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Affiliation(s)
- Davide Ippolito
- Department of Diagnostic Radiology, “San Gerardo” Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
- Correspondence:
| | - Teresa Giandola
- Department of Diagnostic Radiology, “San Gerardo” Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Cesare Maino
- Department of Diagnostic Radiology, “San Gerardo” Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Davide Gandola
- Department of Diagnostic Radiology, “San Gerardo” Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Maria Ragusi
- Department of Diagnostic Radiology, “San Gerardo” Hospital, Via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Paolo Brambilla
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127 Bergamo, BG, Italy;
| | - Pietro Andrea Bonaffini
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127 Bergamo, BG, Italy;
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127 Bergamo, BG, Italy;
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Costachescu D, Ionita I, Borsi EC, Potre O, Potre C, Navolan DB, Blidisel A, Ionita H, Erimescu A, Pop GN, Malita DC. Whole-body diffusion-weighted magnetic resonance imaging and apparent diffusion coefficient values as prognostic factors in multiple myeloma. Exp Ther Med 2021; 22:827. [PMID: 34149873 PMCID: PMC8200804 DOI: 10.3892/etm.2021.10259] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 03/23/2021] [Indexed: 12/13/2022] Open
Abstract
Multiple myeloma (MM) is a neoplasm of the B lymphocytes characterized by the uncontrolled proliferation of a plasmocyte clone. Magnetic resonance imaging (MRI) remains the most sensitive and specific imaging method for the detection of bone marrow infiltration, before macroscopic bone changes are visible, with evidence that the detection rate and overall performance of MRI could be enhanced by applying diffusion-weighted imaging (DWI). The aim of our research was to evaluate whether measuring apparent diffusion coefficient (ADC) values in newly diagnosed patients with MM could be a prognostic factor for the course of the disease and to ascertain whether there is any correlation with other prognostic factors in MM. A retrospective study was performed on a group of 32 patients with newly diagnosed MM that underwent at least two whole-body (WB)-MRIs; one before and one after induction therapy. Patients with advanced stage of disease showed an increased ADC value: Stage 2 vs. stage 1 (1.162 vs. 0.289, P=0.033), respectively, stage 3 vs. stage 1 (0.867 vs. 0.289, P=0.041). In addition, ADC values were inversely correlated with survival time: r=-0.641, P<0.001. According to the multivariate linear regression model, we observed that for every point of ADC value (before treatment) the survival was decreased/reduced by 14.5 months. Moreover, bortezomib therapy predicted an increase in the survival length/duration by 7.9 months. Our regression equation proved to be a good fit for the model, explaining 57.8% of survival duration (adjusted R2=0.578). In conclusion, the negative prognostic factors associated with WB-MRI are represented by high ADC values before treatment (for every point of ADC the survival was decreased by 14.5 months) and focal/diffuse marrow involvement.
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Affiliation(s)
- Dan Costachescu
- Department of Radiology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Ioana Ionita
- Department of Hematology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Ema-Cristina Borsi
- Department of Hematology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Ovidiu Potre
- Department of Hematology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Cristina Potre
- Department of Hematology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Dan-Bogdan Navolan
- Department of Obstetrics and Gynecology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Alexandru Blidisel
- Department of Surgery, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Hortensia Ionita
- Department of Hematology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Adelina Erimescu
- Department of Obstetrics and Gynecology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Gheorghe Nicusor Pop
- Center for Modeling Biological Systems and Data-Analysis, Department of Functional Sciences, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
| | - Daniel Claudiu Malita
- Department of Radiology, 'Victor Babes' University of Medicine and Pharmacy of Timisoara, 300041 Timisoara, Romania
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Updates and Ongoing Challenges in Imaging of Multiple Myeloma: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2021; 217:775-785. [PMID: 33978464 DOI: 10.2214/ajr.21.25878] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Advances in the understanding and treatment of multiple myeloma have led to the need for more sensitive and accurate imaging of intramedullary and extramedullary disease. This role of imaging is underscored by recently revised imaging recommendations of the International Myeloma Working Group (IMWG). This narrative review discusses these recommendations from the IMWG for different disease stages, focusing on advanced whole-body modalities, and addresses related challenges and controversies. In the recommendations, whole-body low-dose CT is central in initial patient assessment, replacing the conventional skeletal survey. Although the recommendations favor MRI for diagnosis because of its superior sensitivity and utility in identifying myeloma-defining events, FDG PET/CT is recommended as the modality of choice for assessing treatment response. Consensus opinions are offered regarding the role of imaging in multiple myeloma for characterization of disease distribution, determination of prognosis, and response evaluation.
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Ippolito D, Giandola T, Maino C, Gandola D, Ragusi M, Bonaffini PA, Sironi S. Whole Body Low Dose Computed Tomography (WBLDCT) Can Be Comparable to Whole-Body Magnetic Resonance Imaging (WBMRI) in the Assessment of Multiple Myeloma. Diagnostics (Basel) 2021; 11:diagnostics11050857. [PMID: 34064594 PMCID: PMC8150749 DOI: 10.3390/diagnostics11050857] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 05/07/2021] [Accepted: 05/08/2021] [Indexed: 02/07/2023] Open
Abstract
Aim of the study is to compare the agreement between whole-body low-dose computed tomography (WBLDCT) and magnetic resonance imaging (WBMRI) in the evaluation of bone marrow involvement in patients with multiple myeloma (MM). Patients with biopsy-proven MM, who underwent both WBLDCT and WBMRI were retrospectively enrolled. After identifying the presence of focal bone involvement (focal infiltration pattern), the whole skeleton was divided into five anatomic districts (skull, spine, sternum and ribs, pelvis, and limbs). Patients were grouped according to the number and location of the lytic lesions (<5, 5-20, and >20) and Durie and Salmon staging system. The agreement between CT and MRI regarding focal pattern, staging, lesion number, and distribution was assessed using the Cohen Kappa statistics. The majority of patients showed focal involvement. According to the distribution of the focal lesions and Durie Salmon staging, the agreement between CT and MRI was substantial or almost perfect (all κ > 0.60). The agreement increased proportionally with the number of lesions in the pelvis and spine (κ = 0.373 to κ = 0.564, and κ = 0.469-0.624), while for the skull the agreement proportionally decreased without reaching a statistically significant difference (p > 0.05). In conclusion, WBLDCT showed an almost perfect agreement in the evaluation of focal involvement, staging, lesion number, and distribution of bone involvement in comparison with WBMRI.
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Affiliation(s)
- Davide Ippolito
- Department of Diagnostic Radiology, “San Gerardo” Hospital, via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
- Correspondence:
| | - Teresa Giandola
- Department of Diagnostic Radiology, “San Gerardo” Hospital, via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Cesare Maino
- Department of Diagnostic Radiology, “San Gerardo” Hospital, via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Davide Gandola
- Department of Diagnostic Radiology, “San Gerardo” Hospital, via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Maria Ragusi
- Department of Diagnostic Radiology, “San Gerardo” Hospital, via Pergolesi 33, 20900 Monza, MB, Italy; (T.G.); (C.M.); (D.G.); (M.R.)
- School of Medicine, University of Milano-Bicocca, via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
| | - Pietro Andrea Bonaffini
- School of Medicine, University of Milano-Bicocca, via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127 Bergamo, BG, Italy
| | - Sandro Sironi
- School of Medicine, University of Milano-Bicocca, via Cadore 48, 20900 Monza, MB, Italy; (P.A.B.); (S.S.)
- Department of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127 Bergamo, BG, Italy
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Takasu M, Tanitame K, Baba Y, Akiyama Y, Tamura T, Kondo S, Maeda S, Sakai A, Awai K. Does chemical shift imaging offer a biomarker for the diagnosis and assessment of disease severity in multiple myeloma?: A cross-sectional study. Medicine (Baltimore) 2021; 100:e24358. [PMID: 33578532 PMCID: PMC7886478 DOI: 10.1097/md.0000000000024358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 12/22/2020] [Indexed: 01/05/2023] Open
Abstract
To investigate whether chemical shift imaging (CSI) is useful for differentiating myelomatous infiltration from hematopoietic bone marrow (BM) and for quantitatively assessing disease severity.In this retrospective study, spinal MRI, including a sagittal iterative decomposition of water and fat with echo asymmetry and least-squares estimation T2 fast spin-echo sequence, was performed on 76 myeloma patients (45 men, 67.0 ± 11.4 years; 31 women, 66.5 ± 11.0 years) and 30 control subjects (20 men, 67.0 ± 8.4 years; 10 women, 67.0 ± 9.2 years). The fat-signal fraction (FF) and mean signal dropout ratio (DR) were calculated from lumbar BM that contained no focal lesions. The BM plasma cell percentage (BMPC%) and serological data were obtained. As DR is highest when FF = 50%, the patients were divided into 2 groups: a water-dominant group (FF < 50%) and a fat-dominant group (FF > 50%).Serum monoclonal protein (M protein), β2-microglobulin, and BMPC% were significantly higher in the water-dominant group than in the fat-dominant group. In the water-dominant group, DR correlated significantly with BMPC% and M protein, whereas in the control group, DR showed a weak correlation with age but no correlation with other clinical factors. No significant differences in any clinical data were seen between high and low DR.CSI proved ineffective for differentiating myelomatous infiltration from hematopoietic BM. For myeloma patients with relatively high BM cellularity, a small signal drop on opposed-phase images indicated a higher tumor burden. For BM with relatively low cellularity, disease severity was not reflected by CSI.
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Affiliation(s)
- Miyuki Takasu
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Keizo Tanitame
- Department of Radiology, Hiroshima Prefectural Hospital, Hiroshima
| | - Yasutaka Baba
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Yuji Akiyama
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Takayuki Tamura
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Shota Kondo
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Shogo Maeda
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
| | - Akira Sakai
- Department of Radiation Life Sciences, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Kazuo Awai
- Department of Diagnostic Radiology, Graduate School of Biomedical Sciences, Hiroshima University
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Mulé S, Reizine E, Blanc-Durand P, Baranes L, Zerbib P, Burns R, Nouri R, Itti E, Luciani A. Whole-Body Functional MRI and PET/MRI in Multiple Myeloma. Cancers (Basel) 2020; 12:cancers12113155. [PMID: 33121132 PMCID: PMC7693006 DOI: 10.3390/cancers12113155] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/22/2020] [Accepted: 10/24/2020] [Indexed: 12/18/2022] Open
Abstract
Simple Summary Whole-body magnetic resonance imaging (MRI) is recognized as the most sensitive imaging technique for the detection of bone marrow infiltration, and was therefore, recently included in the new diagnostic myeloma criteria, as proposed by the International Myeloma Working Group. The use of diffusion-weighted MRI further improved the performances of whole-body MRI in the setting of multiple myeloma, and its systematic implementation in general clinical practice is now recommended. Whole-body, dynamic, contrast-enhanced MRI might provide further information on lesions vascularity and might help evaluate response to treatment. Hybrid PET/MRI might act as the optimal imaging modality, owing to the association of the best techniques for both detecting bone marrow involvement and evaluating treatment response, providing one-stop-shop imaging in a whole-body scale. This review provides an overview on the value of whole-body MRI, including diffusion-weighted and dynamic contrast-enhanced MRI and whole-body 18F-FDG PET/MRI in diagnosis, staging, and response evaluation in multiple myeloma. Abstract Bone disease is one of the major features of multiple myeloma (MM), and imaging has a pivotal role in both diagnosis and follow-up. Whole-body magnetic resonance imaging (MRI) is recognized as the gold standard for the detection of bone marrow involvement, owing to its high sensitivity. The use of functional MRI sequences further improved the performances of whole-body MRI in the setting of MM. Whole-body diffusion-weighted (DW) MRI is the most attractive functional technique and its systematic implementation in general clinical practice is now recommended by the International Myeloma Working Group. Whole-body dynamic contrast-enhanced (DCE) MRI might provide further information on lesions vascularity and help evaluate response to treatment. Whole Body PET/MRI is an emerging hybrid imaging technique that offers the opportunity to combine information on morphology, fat content of bone marrow, bone marrow cellularity and vascularization, and metabolic activity. Whole-body PET/MRI allows a one-stop-shop examination, including the most sensitive technique for detecting bone marrow involvement, and the most recognized technique for treatment response evaluation. This review aims at providing an overview on the value of whole-body MRI, including DW and DCE MRI, and combined whole-body 18F-FDG PET/MRI in diagnosis, staging, and response evaluation in patients with MM.
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Affiliation(s)
- Sébastien Mulé
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Department of Medical Imaging, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
- Université Paris-Est Créteil, 94010 Créteil, France
- Correspondence:
| | - Edouard Reizine
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Department of Medical Imaging, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
| | - Paul Blanc-Durand
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Université Paris-Est Créteil, 94010 Créteil, France
- Department of Nuclear Medicine, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
| | - Laurence Baranes
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Department of Medical Imaging, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
| | - Pierre Zerbib
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Department of Medical Imaging, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
| | - Robert Burns
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Department of Medical Imaging, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
| | - Refaat Nouri
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Department of Medical Imaging, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
| | - Emmanuel Itti
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Université Paris-Est Créteil, 94010 Créteil, France
- Department of Nuclear Medicine, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
| | - Alain Luciani
- SyMPTOm PET/MRI Platform, Henri Mondor Hospital, AP-HP, 94010 Créteil, France; (E.R.); (P.B.-D.); (L.B.); (P.Z.); (R.B.); (R.N.); (E.I.); (A.L.)
- Department of Medical Imaging, Henri Mondor Hospital, AP-HP, 94010 Créteil, France
- Université Paris-Est Créteil, 94010 Créteil, France
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Differentiating atypical hemangiomas and vertebral metastases: a field-of-view (FOV) and FOCUS intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) study. EUROPEAN SPINE JOURNAL : OFFICIAL PUBLICATION OF THE EUROPEAN SPINE SOCIETY, THE EUROPEAN SPINAL DEFORMITY SOCIETY, AND THE EUROPEAN SECTION OF THE CERVICAL SPINE RESEARCH SOCIETY 2020; 29:3187-3193. [PMID: 33078268 DOI: 10.1007/s00586-020-06632-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/15/2020] [Accepted: 10/07/2020] [Indexed: 12/20/2022]
Abstract
PURPOSE Some atypical vertebral hemangiomas (VHs) may mimic metastases on routine MRI and can result in misdiagnosis and ultimately to additional imaging, biopsy and unnecessary costs. The purpose of this study is to assess the utility of intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) on account of field-of-view optimized and constrained undistorted single shot (FOCUS) in distinguishing atypical VHs and vertebral metastases. METHODS A total of 25 patients with vertebral metastases and 25 patients with atypical VHs were confirmed by clinical follow-up or pathology. IVIM-DWI imaging was performed at different b values (0, 30, 50, 100, 150, 200, 400, 600, 800, 1000 mm2/s). IVIM parameters [the true diffusion coefficient (D), pseudodiffusion coefficient (D*), standard apparent diffusion coefficient (ADC), and perfusion fraction (f)] were calculated and compared between two groups by using Student's t test. A receiver operating characteristic analysis was performed. RESULTS Quantitative analysis of standard ADC and D parameters showed significantly lower values in vertebral metastases when compared to atypical hemangiomas [ADC value: (0.70 ± 0.12) × 10-3 mm2/s vs (1.14 ± 0.28) × 10-3 mm2/s; D value: (0.47 ± 0.07) × 10-3 mm2/s vs (0.76 ± 0.14) × 10-3 mm2/s, all P < 0.01]. The sensitivity and specificity of D value were 93.8% and 92.3%, respectively. CONCLUSION The standard ADC value and D value may be used as an indicator to distinguish vertebral metastases from atypical VHs. FOCUS IVIM-derived parameters provide potential value in the quantitatively differentiating vertebral metastases from vertebral atypical hemangiomas.
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Berardo S, Sukhovei L, Andorno S, Carriero A, Stecco A. Quantitative bone marrow magnetic resonance imaging through apparent diffusion coefficient and fat fraction in multiple myeloma patients. Radiol Med 2020; 126:445-452. [PMID: 32812173 DOI: 10.1007/s11547-020-01258-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 08/10/2020] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Quantitative bone marrow (BM) MR sequences, as DWI and CSI, were used to evaluate BM water-fat composition. The aim of the study was to assess the potential usefulness of fat fraction (FF) and ADC, calculated by CSI or DWI, in diagnosing and classifying myeloma (MM) patients according to their different BM infiltration patterns. METHODS The study group included 43 MM patients (19F; 24M; mean age 64 years), 15 asymptomatic, 15 symptomatic with diffuse BM infiltration and 13 symptomatic with focal lesions (FLs). The control group was made up of 15 healthy subjects (7F; 8M; mean age 64 years). MRI examinations consisted of sagittal T1w TSE on the spinal column, axial DWI (b 50-400-800 mm2/s) and coronal T2 Dixon, on the whole body. Mean ADC and FF were calculated placing 1 ROI on 6 vertebras and 2 ROIs on either the pelvis or FL. RESULTS ANOVA with Bonferroni's correction showed a significant difference in ADC values among the different groups of MM patients (P < 0.05), while FF was only significantly different between patients with diffuse infiltration and patients with FL (P = 0.002). ADC allowed distinguishing MM patients from normal BM patients with diffuse BM infiltration (cutoff value: 0.491 × 10-3 mm2/s; sensitivity 73%, specificity 80%). FF helped better discriminate healthy controls from normal BM patients (cutoff = 0.33, sensitivity 73%, specificity 92%) and patients with diffuse BM infiltration from those with FL (cutoff = 0.16, sensitivity 82%, specificity 92%). CONCLUSION ADC and FF are potentially useful parameter for the quantitative evaluation of BM infiltration in MM patients.
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Affiliation(s)
- Sara Berardo
- Department of Radiology, AOU Maggiore della Carità, Novara, Italy.
| | - Lidiia Sukhovei
- Department of Radiology, AOU Maggiore della Carità, Novara, Italy
| | - Silvano Andorno
- Department of Biomedical Statistics, AOU Maggiore della Carità, Novara, Italy
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21
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Zhang W, Zhu J, Xu X, Fan G. Synthetic MRI of the lumbar spine at 3.0 T: feasibility and image quality comparison with conventional MRI. Acta Radiol 2020; 61:461-470. [PMID: 31522520 DOI: 10.1177/0284185119871670] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background Synthetic magnetic resonance imaging (MRI), which can generate multiple morphologic MR images as well as quantitative maps from a single sequence, is not widely used in the spine at 3.0 T. Purpose To investigate the feasibility of synthetic MRI of the lumbar spine in clinical practice at 3.0 T. Material and Methods Eighty-four patients with lumbar diseases underwent conventional T1-weighted images, T2-weighted images, short-tau inversion recovery (STIR) images, and synthetic MRI of the lumbar spine at 3.0 T. The quantitative and qualitative image quality and agreement for detection of spinal lesions between conventional and synthetic MRI were compared by two radiologists. Results The signal-to-noise ratios of synthetic MRI showed an inferior image quality in the vertebrae and disc, whereas were higher for spinal canal and fat on the synthetic T1-weighted, T2-weighted, and STIR images. The contrast-to-noise ratios of the synthetic MRI was superior to conventional sequences, except for the vertebrae–disc contrast-to-noise ratio on T1-weighted imaging ( P = 0.005). Image quality assessments showed that synthetic MRI had greater STIR fat suppression ( P < 0.001) and fluid brightness ( P = 0.014), as well as higher degree of artifacts ( P < 0.001) and worse spatial resolution ( P = 0.002). The inter-method agreements for detection of spinal lesions were substantial to perfect (kappa, 0.614–0.925). Conclusion Synthetic MRI is a feasible method for lumbar spine imaging in a clinical setting at 3.0-T MR. It provides morphologic sequences with acceptable image quality, good agreement with conventional MRI for detection of spinal lesions and quantitative image maps with a slightly shorter acquisition time compared with conventional MRI.
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Affiliation(s)
- Weilan Zhang
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Jingyi Zhu
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Xiaohan Xu
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Guoguang Fan
- Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning Province, PR China
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22
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Lee K, Park HY, Kim KW, Lee AJ, Yoon MA, Chae EJ, Lee JH, Chung HW. Advances in whole body MRI for musculoskeletal imaging: Diffusion-weighted imaging. J Clin Orthop Trauma 2019; 10:680-686. [PMID: 31316239 PMCID: PMC6611843 DOI: 10.1016/j.jcot.2019.05.018] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 05/22/2019] [Accepted: 05/23/2019] [Indexed: 02/07/2023] Open
Abstract
Recent advances in imaging technology have enabled the acquisition of anatomical and functional imaging from head to toe in a reasonably short scan time. Accordingly, whole body magnetic resonance imaging (WB-MRI) and diffusion-weighted imaging (WB-DWI) have gained recent attention for the management of musculoskeletal problems such as bone tumors and rheumatologic diseases. WB-MRI is especially useful in diagnosing systemic or widespread disease requiring whole body evaluation, such as bone metastases, multiple myeloma, lymphoma, neurofibromatosis, and spondyloarthropathies. Among WB-MRI sequences, the WB-DWI technique greatly increases the value of WB-MRI in the evaluation of disease extent and characterization as well as treatment monitoring. In support of the utilization of WB-MRI and WB-DWI in orthopedic clinics for various musculoskeletal diseases, we provide an overview of the technical aspects of WB-MRI and WB-DWI and their clinical applications in musculoskeletal tumors and rheumatic diseases.
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Affiliation(s)
- Koeun Lee
- Asan Image Metrics, Clinical Trial Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Ho Young Park
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Kyung Won Kim
- Asan Image Metrics, Clinical Trial Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea,Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea,Corresponding author. Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea.
| | - Amy Junghyun Lee
- Asan Image Metrics, Clinical Trial Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Min A. Yoon
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Eun Jin Chae
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Jeong Hyun Lee
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Hye Won Chung
- Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
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Recommendations for acquisition, interpretation and reporting of whole body low dose CT in patients with multiple myeloma and other plasma cell disorders: a report of the IMWG Bone Working Group. Blood Cancer J 2018; 8:95. [PMID: 30287814 PMCID: PMC6172202 DOI: 10.1038/s41408-018-0124-1] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Accepted: 08/07/2018] [Indexed: 12/03/2022] Open
Abstract
Whole Body Low Dose CT (WBLDCT) has important advantages as a first-line imaging modality for bone disease assessment in patients with plasma cell disorders and has been included in the 2014 International Myeloma Working Group (IMWG) criteria for multiple myeloma (MM) definition. Nevertheless, standardization guidelines for the optimal use of WBLDCT in MM patients are still lacking, preventing its more widespread use, both in daily practice and clinical trials. The aim of this report by the Bone Group of the IMWG is to provide practical recommendations for the acquisition, interpretation and reporting of WBLDCT in patients with multiple myeloma and other plasma cell disorders.
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