What’s New in Imaging for Multiple Myeloma
Graham McIlroy , Olwen Westerland , Guy Pratt
British Journal of Hospital Medicine ›› 2026, Vol. 87 ›› Issue (2) : 50847
Multiple myeloma is a haematological malignancy of plasma cells, typically characterised by a monoclonal immunoglobulin protein detectable in the blood. Myeloma requires treatment when it affects specific end-organs, including lytic bone disease. The accurate detection of bone disease is therefore crucial in the diagnosis and management of myeloma, and advanced imaging with whole-body magnetic resonance imaging or positron emission tomography is now recommended as the standard of care. For patients with non-secretory myeloma and those with extramedullary disease, imaging is the only way to monitor response to treatment and to detect relapse. Whilst there are challenges in delivering advanced imaging modalities to patients with myeloma, the clinical and financial advantages mean that improving access should be a priority. This review discusses the importance of advanced imaging in the management of myeloma across its disease course, and outlines current barriers and potential future directions in this rapidly evolving field.
multiply myeloma / whole-body imaging / diffusion magnetic resonance imaging / positron emission tomography computed tomography
| [1] |
Pratt G. Multiple Myeloma. In Price P, Sikora K (eds.) Treatment of Cancer. 8th edn. CRC Press: Boca Raton, FL, USA. 2025. |
| [2] |
Lyratzopoulos G, Neal RD, Barbiere JM, Rubin GP, Abel GA. Variation in number of general practitioner consultations before hospital referral for cancer: findings from the 2010 National Cancer Patient Experience Survey in England. The Lancet. Oncology. 2012; 13: 353–365. https://doi.org/10.1016/S1470-2045(12)70041-4. |
| [3] |
Howell D, Smith A, Appleton S, Bagguley T, Macleod U, Cook G, et al. Multiple myeloma: routes to diagnosis, clinical characteristics and survival - findings from a UK population-based study. British Journal of Haematology. 2017; 177: 67–71. https://doi.org/10.1111/bjh.14513. |
| [4] |
Carmichael J, Seymour F, McIlroy G, Tayabali S, Amerikanou R, Feyler S, et al. Delayed diagnosis resulting in increased disease burden in multiple myeloma: the legacy of the COVID-19 pandemic. Blood Cancer Journal. 2023; 13: 38. https://doi.org/10.1038/s41408-023-00795-w. |
| [5] |
Seefat MR, Cucchi DGJ, Groen K, Donker ML, van der Hem KG, Westerman M, et al. Treatment sequences and drug costs from diagnosis to death in multiple myeloma. European Journal of Haematology. 2024; 112: 360–366. https://doi.org/10.1111/ejh.14119. |
| [6] |
Kaiser M, Goh V, Stern S, Spencer N, Rabin N, Ramasamy K, et al. Advanced imaging for earlier diagnosis and morbidity prevention in multiple myeloma: A British Society of Haematology and UK Myeloma Society Good Practice Paper. British Journal of Haematology. 2024; 205: 1319–1325. https://doi.org/10.1111/bjh.19716. |
| [7] |
Abdallah NH, Smith AN, Geyer S, Binder M, Greipp PT, Kapoor P, et al. Conditional survival in multiple myeloma and impact of prognostic factors over time. Blood Cancer Journal. 2023; 13: 78. https://doi.org/10.1038/s41408-023-00852-4. |
| [8] |
McQuilten Z, Wellard C, Moore E, Augustson B, Bergin K, Blacklock H, et al. Predictors of early mortality in multiple myeloma: Results from the Australian and New Zealand Myeloma and Related Diseases Registry (MRDR). British Journal of Haematology. 2022; 198: 830–837. https://doi.org/10.1111/bjh.18324. |
| [9] |
Grant SJ, Wildes TM, Rosko AE, Silberstein J, Giri S. A real-world data analysis of predictors of early mortality after a diagnosis of multiple myeloma. Cancer. 2023; 129: 2023–2034. https://doi.org/10.1002/cncr.34760. |
| [10] |
Yong K, Delforge M, Driessen C, Fink L, Flinois A, Gonzalez-McQuire S, et al. Multiple myeloma: patient outcomes in real-world practice. British Journal of Haematology. 2016; 175: 252–264. https://doi.org/10.1111/bjh.14213. |
| [11] |
Mouhieddine TH, Weeks LD, Ghobrial IM. Monoclonal gammopathy of undetermined significance. Blood. 2019; 133: 2484–2494. https://doi.org/10.1182/blood.2019846782. |
| [12] |
Kyle RA, Therneau TM, Rajkumar SV, Offord JR, Larson DR, Plevak MF, et al. A long-term study of prognosis in monoclonal gammopathy of undetermined significance. The New England Journal of Medicine. 2002; 346: 564–569. https://doi.org/10.1056/NEJMoa01133202. |
| [13] |
Kyle RA, Remstein ED, Therneau TM, Dispenzieri A, Kurtin PJ, Hodnefield JM, et al. Clinical course and prognosis of smoldering (asymptomatic) multiple myeloma. The New England Journal of Medicine. 2007; 356: 2582–2590. https://doi.org/10.1056/NEJMoa070389. |
| [14] |
Rajkumar SV, Dimopoulos MA, Palumbo A, Blade J, Merlini G, Mateos MV, et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. The Lancet. Oncology. 2014; 15: e538–48. https://doi.org/10.1016/S1470-2045(14)70442-5. |
| [15] |
Harnagel EE, Kleinberg I, Kahlstrom SC, Rhudy FV. Multiple myeloma; a review of 26 cases. California Medicine. 1957; 87: 237–243. |
| [16] |
Tamir R, Glanz I, Lubin E, Vana D, Pick AI. Comparison of the sensitivity of 99mTc-methyl diphosphonate bone scan with the skeletal X-ray survey in multiple myeloma. Acta Haematologica. 1983; 69: 236–242. https://doi.org/10.1159/000206898. |
| [17] |
Helms CA, Genant HK. Computed tomography in the early detection of skeletal involvement with multiple myeloma. JAMA. 1982; 248: 2886–2887. |
| [18] |
Horger M, Claussen CD, Bross-Bach U, Vonthein R, Trabold T, Heuschmid M, et al. Whole-body low-dose multidetector row-CT in the diagnosis of multiple myeloma: an alternative to conventional radiography. European Journal of Radiology. 2005; 54: 289–297. https://doi.org/10.1016/j.ejrad.2004.04.015. |
| [19] |
Moulopoulos LA, Koutoulidis V, Hillengass J, Zamagni E, Aquerreta JD, Roche CL, et al. 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 Journal. 2018; 8: 95. https://doi.org/10.1038/s41408-018-0124-1. |
| [20] |
Daffner RH, Lupetin AR, Dash N, Deeb ZL, Sefczek RJ, Schapiro RL. MRI in the detection of malignant infiltration of bone marrow. AJR. American Journal of Roentgenology. 1986; 146: 353–358. https://doi.org/10.2214/ajr.146.2.353. |
| [21] |
Dutoit JC, Verstraete KL. Whole-body MRI, dynamic contrast-enhanced MRI, and diffusion-weighted imaging for the staging of multiple myeloma. Skeletal Radiology. 2017; 46: 733–750. https://doi.org/10.1007/s00256-017-2609-6. |
| [22] |
el-Shirbiny AM, Yeung H, Imbriaco M, Michaeli J, Macapinlac H, Larson SM. Technetium-99m-MIBI versus fluorine-18-FDG in diffuse multiple myeloma. Journal of Nuclear Medicine. 1997; 38: 1208–1210. |
| [23] |
Orchard K, Barrington S, Buscombe J, Hilson A, Prentice HG, Mehta A. Fluoro-deoxyglucose positron emission tomography imaging for the detection of occult disease in multiple myeloma. British Journal of Haematology. 2002; 117: 133–135. https://doi.org/10.1046/j.1365-2141.2002.03407.x. |
| [24] |
Price S, Spencer A, Zhang X, Ball S, Lyratzopoulos G, Mujica-Mota R, et al. Trends in time to cancer diagnosis around the period of changing national guidance on referral of symptomatic patients: A serial cross-sectional study using UK electronic healthcare records from 2006-17. Cancer Epidemiology. 2020; 69: 101805. https://doi.org/10.1016/j.canep.2020.101805. |
| [25] |
Lungu O, Toscani D, Giuliani N. Mechanistic insights into bone destruction in multiple myeloma: Cellular and molecular perspectives. Journal of Bone Oncology. 2025; 51: 100668. https://doi.org/10.1016/j.jbo.2025.100668. |
| [26] |
Hinge M, Andersen KT, Lund T, Jørgensen HB, Holdgaard PC, Ormstrup TE, et al. Bone healing in multiple myeloma: a prospective evaluation of the impact of first-line anti-myeloma treatment. Haematologica. 2016; 101: e419–e422. https://doi.org/10.3324/haematol.2016.144477. |
| [27] |
Morgan GJ, Child JA, Gregory WM, Szubert AJ, Cocks K, Bell SE, et al. Effects of zoledronic acid versus clodronic acid on skeletal morbidity in patients with newly diagnosed multiple myeloma (MRC Myeloma IX): secondary outcomes from a randomised controlled trial. The Lancet. Oncology. 2011; 12: 743–752. https://doi.org/10.1016/S1470-2045(11)70157-7. |
| [28] |
National Institute for Health and Care Excellence (NICE). Myeloma: diagnosis and management (NG35). 2016. Available at: https://www.nice.org.uk/guidance/ng35 (Accessed: 26 August 2025). |
| [29] |
Bansal R, Rakshit S, Kumar S. Extramedullary disease in multiple myeloma. Blood Cancer Journal. 2021; 11: 161. https://doi.org/10.1038/s41408-021-00527-y. |
| [30] |
Chawla SS, Kumar SK, Dispenzieri A, Greenberg AJ, Larson DR, Kyle RA, et al. Clinical course and prognosis of non-secretory multiple myeloma. European Journal of Haematology. 2015; 95: 57–64. https://doi.org/10.1111/ejh.12478. |
| [31] |
Nandakumar B, Kumar SK, Dispenzieri A, Buadi FK, Dingli D, Lacy MQ, et al. Cytogenetic Features and Clinical Outcomes of Patients With Non-secretory Multiple Myeloma in the Era of Novel Agent Induction Therapy. Clinical Lymphoma, Myeloma & Leukemia. 2020; 20: 53–56. https://doi.org/10.1016/j.clml.2019.09.624. |
| [32] |
Migkou M, Avivi I, Gavriatopoulou M, Cohen YC, Fotiou D, Kanellias N, et al. Clinical characteristics and outcomes of oligosecretory and non-secretory multiple myeloma. Annals of Hematology. 2020; 99: 1251–1255. https://doi.org/10.1007/s00277-020-03984-w. |
| [33] |
Wålinder G, Samuelsson J, Näsman P, Hansson M, Juliusson G, Forsberg K, et al. Outcome and characteristics of non-measurable myeloma: A cohort study with population-based data from the Swedish Myeloma Registry. European Journal of Haematology. 2020; 104: 376–382. https://doi.org/10.1111/ejh.13351. |
| [34] |
Larson D, Kyle RA, Rajkumar SV. Prevalence and monitoring of oligosecretory myeloma. The New England Journal of Medicine. 2012; 367: 580–581. https://doi.org/10.1056/NEJMc1206740. |
| [35] |
Jelinek T, Kryukov F, Rihova L, Hajek R. Plasma cell leukemia: from biology to treatment. European Journal of Haematology. 2015; 95: 16–26. https://doi.org/10.1111/ejh.12533. |
| [36] |
Hillengass J, Usmani S, Rajkumar SV, Durie BGM, Mateos MV, Lonial S, et al. International myeloma working group consensus recommendations on imaging in monoclonal plasma cell disorders. The Lancet. Oncology. 2019; 20: e302–e312. https://doi.org/10.1016/S1470-2045(19)30309-2. |
| [37] |
Hillengass J, Fechtner K, Weber MA, Bäuerle T, Ayyaz S, Heiss C, et al. Prognostic significance of focal lesions in whole-body magnetic resonance imaging in patients with asymptomatic multiple myeloma. Journal of Clinical Oncology. 2010; 28: 1606–1610. https://doi.org/10.1200/JCO.2009.25.5356. |
| [38] |
Regelink JC, Minnema MC, Terpos E, Kamphuis MH, Raijmakers PG, Pieters-van den Bos IC, et al. Comparison of modern and conventional imaging techniques in establishing multiple myeloma-related bone disease: a systematic review. British Journal of Haematology. 2013; 162: 50–61. https://doi.org/10.1111/bjh.12346. |
| [39] |
Gundesen MT, Asmussen JT, Haukås E, Schubert M, Abildgaard N, Schjesvold F, et al. A prospective study of Skeletal survey versus Low-dose whole-body CT for Osteolytic lesions in Multiple Myeloma. European Journal of Haematology. 2022; 108: 423–429. https://doi.org/10.1111/ejh.13749. |
| [40] |
Baur-Melnyk A, Buhmann S, Becker C, Schoenberg SO, Lang N, Bartl R, et al. Whole-body MRI versus whole-body MDCT for staging of multiple myeloma. AJR. American Journal of Roentgenology. 2008; 190: 1097–1104. https://doi.org/10.2214/AJR.07.2635. |
| [41] |
Gariani J, Westerland O, Natas S, Verma H, Cook G, Goh V. Comparison of whole body magnetic resonance imaging (WBMRI) to whole body computed tomography (WBCT) or 18F-fluorodeoxyglucose positron emission tomography/CT (18F-FDG PET/CT) in patients with myeloma: Systematic review of diagnostic performance. Critical Reviews in Oncology/Hematology. 2018; 124: 66–72. https://doi.org/10.1016/j.critrevonc.2018.02.012. |
| [42] |
Rasche L, Angtuaco E, McDonald JE, Buros A, Stein C, Pawlyn C, et al. Low expression of hexokinase-2 is associated with false-negative FDG-positron emission tomography in multiple myeloma. Blood. 2017; 130: 30–34. https://doi.org/10.1182/blood-2017-03-774422. |
| [43] |
Messiou C, Porta N, Sharma B, Levine D, Koh DM, Boyd K, et al. Prospective Evaluation of Whole-Body MRI versus FDG PET/CT for Lesion Detection in Participants with Myeloma. Radiology. Imaging Cancer. 2021; 3: e210048. https://doi.org/10.1148/rycan.2021210048. |
| [44] |
Mesguich C, Hulin C, Latrabe V, Lascaux A, Bordenave L, Hindié E, et al. Prospective comparison of 18-FDG PET/CT and whole-body diffusion-weighted MRI in the assessment of multiple myeloma. Annals of Hematology. 2020; 99: 2869–2880. https://doi.org/10.1007/s00277-020-04265-2. |
| [45] |
Westerland O, Amlani A, Kelly-Morland C, Fraczek M, Bailey K, Gleeson M, et al. Comparison of the diagnostic performance and impact on management of 18F-FDG PET/CT and whole-body MRI in multiple myeloma. European Journal of Nuclear Medicine and Molecular Imaging. 2021a; 48: 2558–2565. https://doi.org/10.1007/s00259-020-05182-2. |
| [46] |
Mai EK, Hielscher T, Kloth JK, Merz M, Shah S, Hillengass M, et al. Association between magnetic resonance imaging patterns and baseline disease features in multiple myeloma: analyzing surrogates of tumour mass and biology. European Radiology. 2016; 26: 3939–3948. https://doi.org/10.1007/s00330-015-4195-0. |
| [47] |
Lee SY, Kim HJ, Shin YR, Park HJ, Lee YG, Oh SJ. Prognostic significance of focal lesions and diffuse infiltration on MRI for multiple myeloma: a meta-analysis. European Radiology. 2017; 27: 2333–2347. https://doi.org/10.1007/s00330-016-4543-8. |
| [48] |
Katodritou E, Terpos E, Symeonidis AS, Pouli A, Kelaidi C, Kyrtsonis MC, et al. Clinical features, outcome, and prognostic factors for survival and evolution to multiple myeloma of solitary plasmacytomas: a report of the Greek myeloma study group in 97 patients. American Journal of Hematology. 2014; 89: 803–808. https://doi.org/10.1002/ajh.23745. |
| [49] |
de Waal EGM, Leene M, Veeger N, Vos HJ, Ong F, Smit WGJM, et al. Progression of a solitary plasmacytoma to multiple myeloma. A population-based registry of the northern Netherlands. British Journal of Haematology. 2016; 175: 661–667. https://doi.org/10.1111/bjh.14291. |
| [50] |
Gómez León N, Vicuña-Andrés I, Aguado-Bueno B, Garrido-Enjamio F, Galán-González I, Castillo-Morales V, et al. Whole-body MRI Versus [18F] FDG PET/CT in Diagnosing and Monitoring Plasmacytomas: A Comparative Study. Clinical Nuclear Medicine. 2025; 50: 695–706. https://doi.org/10.1097/RLU.0000000000005954. |
| [51] |
Paiva B, San-Miguel J, Avet-Loiseau H. MRD in multiple myeloma: does CR really matter? Blood. 2022; 140: 2423–2428. https://doi.org/10.1182/blood.2022016170. |
| [52] |
Belotti A, Ribolla R, Cancelli V, Villanacci A, Angelini V, Chiarini M, et al. Predictive role of diffusion-weighted whole-body MRI (DW-MRI) imaging response according to MY-RADS criteria after autologous stem cell transplantation in patients with multiple myeloma and combined evaluation with MRD assessment by flow cytometry. Cancer Medicine. 2021; 10: 5859–5865. https://doi.org/10.1002/cam4.4136. |
| [53] |
Zamagni E, Oliva S, Gay F, Capra A, Rota-Scalabrini D, D’Agostino M, et al. 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. https://doi.org/10.1016/j.eclinm.2023.102017. |
| [54] |
Latifoltojar A, Hall-Craggs M, Bainbridge A, Rabin N, Popat R, Rismani A, et al. Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction. European Radiology. 2017a; 27: 5325–5336. https://doi.org/10.1007/s00330-017-4907-8. |
| [55] |
Latifoltojar A, Hall-Craggs M, Rabin N, Popat R, Bainbridge A, Dikaios N, et al. Whole body magnetic resonance imaging in newly diagnosed multiple myeloma: early changes in lesional signal fat fraction predict disease response. British Journal of Haematology. 2017b; 176: 222–233. https://doi.org/10.1111/bjh.14401. |
| [56] |
Belotti A, Frittoli B, Terlizzi S, Ribolla R, Crippa C, Saeli C, et al. Early identification of functional high-risk multiple myeloma patients after transplant: the predictive power of fat fraction and Response Assessment Category score in diffusion-weighted whole-body magnetic resonance imaging. Haematologica. 2025; 110: 2151–2159. https://doi.org/10.3324/haematol.2025.287409. |
| [57] |
Kumar S, Paiva B, Anderson KC, Durie B, Landgren O, Moreau P, et al. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma. The Lancet. Oncology. 2016; 17: e328–e346. https://doi.org/10.1016/S1470-2045(16)30206-6. |
| [58] |
Rama S, Suh CH, Kim KW, Durieux JC, Ramaiya NH, Tirumani SH. Comparative Performance of Whole-Body MRI and FDG PET/CT in Evaluation of Multiple Myeloma Treatment Response: Systematic Review and Meta-Analysis. AJR. American Journal of Roentgenology. 2022; 218: 602–613. https://doi.org/10.2214/AJR.21.26381. |
| [59] |
Moreau P, Attal M, Caillot D, Macro M, Karlin L, Garderet L, et al. Prospective Evaluation of Magnetic Resonance Imaging and [18F] Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography at Diagnosis and Before Maintenance Therapy in Symptomatic Patients With Multiple Myeloma Included in the IFM/DFCI 2009 Trial: Results of the IMAJEM Study. Journal of Clinical Oncology. 2017; 35: 2911–2918. https://doi.org/10.1200/JCO.2017.72.2975. |
| [60] |
Landgren O, Prior TJ, Masterson T, Heuck C, Bueno OF, Dash AB, et al. EVIDENCE meta-analysis: evaluating minimal residual disease as an intermediate clinical end point for multiple myeloma. Blood. 2024; 144: 359–367. https://doi.org/10.1182/blood.2024024371. |
| [61] |
Paiva B, Zherniakova A, Nuñez-Córdoba JM, Rodriguez-Otero P, Shi Q, Munshi NC, et al. Impact of treatment effect on MRD and PFS: an aggregate data analysis from randomized clinical trials in multiple myeloma. Blood Advances. 2024; 8: 219–223. https://doi.org/10.1182/bloodadvances.2023010821. |
| [62] |
Ramasamy K, Avet-Loiseau H, Hveding Blimark C, Delforge M, Gay F, Manier S, et al. Measurable Residual Disease Testing in Multiple Myeloma Routine Clinical Practice: A Modified Delphi Study. HemaSphere. 2023; 7: e942. https://doi.org/10.1097/HS9.0000000000000942. |
| [63] |
Caers J, Garderet L, Kortüm KM, O’Dwyer ME, van de Donk NWCJ, Binder M, et al. European Myeloma Network recommendations on tools for the diagnosis and monitoring of multiple myeloma: what to use and when. Haematologica. 2018; 103: 1772–1784. https://doi.org/10.3324/haematol.2018.189159. |
| [64] |
Westerland O, Pratt G, Kazmi M, El-Najjar I, Streetly M, Yong K, et al. National survey of imaging practice for suspected or confirmed plasma cell malignancies. The British Journal of Radiology. 2018; 91: 20180462. https://doi.org/10.1259/bjr.20180462. |
| [65] |
Westerland O, Drinkwater KJ, Parikh J, Streetly M, Pratt G, Goh V, et al. Imaging in myeloma: a Royal College of Radiologists national survey of current imaging practice. Clinical Radiology. 2021b; 76: 820–828. https://doi.org/10.1016/j.crad.2021.05.019. |
| [66] |
Quinn SCM, Goh V, Westerland OA, Pratt G. National myeloma patient survey shows continuing inappropriate imaging and geographical inequalities. The British Journal of Radiology. 2024; 97: 1443–1449. https://doi.org/10.1093/bjr/tqae110. |
| [67] |
Wennmann M, Grözinger M, Weru V, Hielscher T, Rotkopf LT, Bauer F, et al. Test-retest, inter- and intra-rater reproducibility of size measurements of focal bone marrow lesions in MRI in patients with multiple myeloma. The British Journal of Radiology. 2023; 96: 20220745. https://doi.org/10.1259/bjr.20220745. |
| [68] |
Messiou C, Hillengass J, Delorme S, Lecouvet FE, Moulopoulos LA, Collins DJ, et al. Guidelines for Acquisition, Interpretation, and Reporting of Whole-Body MRI in Myeloma: Myeloma Response Assessment and Diagnosis System (MY-RADS). Radiology. 2019; 291: 5–13. https://doi.org/10.1148/radiol.2019181949. |
| [69] |
Keaveney S, Dragan A, Rata M, Blackledge M, Scurr E, Winfield JM, et al. Image quality in whole-body MRI using the MY-RADS protocol in a prospective multi-centre multiple myeloma study. Insights into Imaging. 2023; 14: 170. https://doi.org/10.1186/s13244-023-01498-3. |
| [70] |
Doran SJ, Barfoot T, Wedlake L, Winfield JM, Petts J, Glocker B, et al. Curation of myeloma observational study MALIMAR using XNAT: solving the challenges posed by real-world data. Insights into Imaging. 2024; 15: 47. https://doi.org/10.1186/s13244-023-01591-7. |
| [71] |
Faghani S, Baffour FI, Ringler MD, Hamilton-Cave M, Rouzrokh P, Moassefi M, et al. A deep learning algorithm for detecting lytic bone lesions of multiple myeloma on CT. Skeletal Radiology. 2023; 52: 91–98. https://doi.org/10.1007/s00256-022-04160-z. |
| [72] |
Xiong X, Zhu Q, Zhou Z, Qian X, Hong R, Dai Y, et al. Discriminating minimal residual disease status in multiple myeloma based on MRI: utility of radiomics and comparison of machine-learning methods. Clinical Radiology. 2023; 78: e839–e846. https://doi.org/10.1016/j.crad.2023.07.011. |
| [73] |
Ni B, Huang G, Huang H, Wang T, Han X, Shen L, et al. Machine Learning Model Based on Optimized Radiomics Feature from 18F-FDG-PET/CT and Clinical Characteristics Predicts Prognosis of Multiple Myeloma: A Preliminary Study. Journal of Clinical Medicine. 2023; 12: 2280. https://doi.org/10.3390/jcm12062280. |
| [74] |
Liu J, Zeng P, Guo W, Wang C, Geng Y, Lang N, et al. Prediction of High-Risk Cytogenetic Status in Multiple Myeloma Based on Magnetic Resonance Imaging: Utility of Radiomics and Comparison of Machine Learning Methods. Journal of Magnetic Resonance Imaging. 2021; 54: 1303–1311. https://doi.org/10.1002/jmri.27637. |
| [75] |
Alipour E, Pooyan A, Shomal Zadeh F, Darbandi AD, Bonaffini PA, Chalian M. Current Status and Future of Artificial Intelligence in MM Imaging: A Systematic Review. Diagnostics. 2023; 13: 3372. https://doi.org/10.3390/diagnostics13213372. |
/
| 〈 |
|
〉 |