Corre J, Perrot A, Hulin C, Caillot D, Stoppa AM, Facon T, Leleu X, Dib M, Karlin L, Moreau P, Mohty M, Mariette C, Fontan J, Marolleau JP, Demarquette H, Slama B, Voillat L, Macro M, Orsini-Piocelle F, Brechignac S, Rey P, Collet P, Tiab M, Belhadj K, Lifermann F, Clement-Filliatre L, Sohn C, Richez V, Avet-Loiseau H; Intergroupe Francophone du Myélome (IFM). Improved survival in multiple myeloma during the 2005–2009 and 2010–2014 periods. Leukemia. 2021;35(12):3600–3603. https://doi.org/10.1038/s41375-021-01250-0.
Rajkumar SV. Multiple myeloma: 2022 update on diagnosis, risk stratification, and management. Am J Hematol. 2022;97(8):1086–107. https://doi.org/10.1002/ajh.26590.
Article CAS PubMed PubMed Central Google Scholar
Russell SJ, Rajkumar SV. Multiple myeloma and the road to personalised medicine. Lancet Oncol. 2011;12(7):617–9. https://doi.org/10.1016/S1470-2045(11)70143-7.
Durie BG, Salmon SE. A clinical staging system for multiple myeloma. Correlation of measured myeloma cell mass with presenting clinical features, response to treatment, and survival. Cancer. 1975;36(3):842–54. https://doi.org/10.1002/1097-0142(197509)36:3%3c842::aid-cncr2820360303%3e3.0.co;2-u.
Article CAS PubMed Google Scholar
Greipp PR, San Miguel J, Durie BG, Crowley JJ, Barlogie B, Bladé J, Boccadoro M, Child JA, Avet-Loiseau H, Kyle RA, Lahuerta JJ, Ludwig H, Morgan G, Powles R, Shimizu K, Shustik C, Sonneveld P, Tosi P, Turesson I, Westin J. International Staging System for multiple myeloma. J Clin Oncol. 2005 23(15):3412–20. https://doi.org/10.1200/JCO.2005.04.242. Erratum in: J Clin Oncol. 2005 23(25):6281. Harousseau, Jean-Luc [corrected to Avet-Loiseau, Herve]
Palumbo A, Avet-Loiseau H, Oliva S, et al. Revised International Staging System for multiple myeloma: a report from International Myeloma Working Group. J Clin Oncol. 2015;33(26):2863–9.
Article CAS PubMed PubMed Central Google Scholar
Hillengass J, Usmani S, Rajkumar SV, Durie BGM, Mateos MV, Lonial S, Joao C, Anderson KC, García-Sanz R, Riva E, Du J, van de Donk N, Berdeja JG, Terpos E, Zamagni E, Kyle RA, San Miguel J, Goldschmidt H, Giralt S, Kumar S, Raje N, Ludwig H, Ocio E, Schots R, Einsele H, Schjesvold F, Chen WM, Abildgaard N, Lipe BC, Dytfeld D, Wirk BM, Drake M, Cavo M, Lahuerta JJ, Lentzsch S. International myeloma working group consensus recommendations on imaging in monoclonal plasma cell disorders. Lancet Oncol. 2019;20(6):e302–12. https://doi.org/10.1016/S1470-2045(19)30309-2.Erratum.In:LancetOncol.2019Jul;20(7):e346.
Cavo M, Terpos E, Nanni C, Moreau P, Lentzsch S, Zweegman S, et al. Role of 18F-FDG PET/CT in the diagnosis and management of multiple myeloma and other plasma cell disorders: a consensus statement by the International Myeloma Working Group. Lancet Oncol. 2017;18(4):e206–17.
Zamagni E, Tacchetti P, Cavo M. Imaging in multiple myeloma: how? When? Blood. 2019;133(7):644–51.
Article CAS PubMed Google Scholar
Zamagni E, Nanni C, Dozza L, Carlier T, Bailly C, Tacchetti P, Versari A, Chauvie S, Gallamini A, Gamberi B, Caillot D, Patriarca F, Macro M, Boccadoro M, Garderet L, Barbato S, Fanti S, Perrot A, Gay F, Sonneveld P, Karlin L, Cavo M, Bodet-Milin C, Moreau P, Kraeber-Bodéré F. Standardization of 18F-FDG-PET/CT according to Deauville criteria for metabolic complete response definition in newly diagnosed multiple myeloma. J Clin Oncol. 2021;39(2):116–25. https://doi.org/10.1200/JCO.20.00386.
Article CAS PubMed Google Scholar
Nanni C, Zamagni E, Versari A, Chauvie S, Bianchi A, Rensi M, et al. Image interpretation criteria for FDG PET/CT in multiple myeloma: a new proposal from an Italian expert panel. IMPeTUs (Italian Myeloma criteria for PET USe). Eur J Nucl Med Mol Imaging. 2016 43(3):414–21.
Fonti R, Pellegrino S, Catalano L, Pane F, Del Vecchio S, Pace L. Visual and volumetric parameters by 18F-FDG-PET/CT: a head to head comparison for the prediction of outcome in patients with multiple myeloma. Ann Hematol. 2020;99(1):127–35. https://doi.org/10.1007/s00277-019-03852-2.
Article CAS PubMed Google Scholar
McDonald JE, Kessler MM, Gardner MW, Buros AF, Ntambi JA, Waheed S, van Rhee F, Zangari M, Heuck CJ, Petty N, Schinke C, Thanendrarajan S, Mitchell A, Hoering A, Barlogie B, Morgan GJ, Davies FE. Assessment of total lesion glycolysis by 18F FDG PET/CT significantly improves prognostic value of GEP and ISS in myeloma. Clin Cancer Res. 2017;23(8):1981–7. https://doi.org/10.1158/1078-0432.CCR-16-0235.
Article CAS PubMed Google Scholar
Terao T, Machida Y, Tsushima T, Miura D, Narita K, Kitadate A, et al. Pre-treatment metabolic tumour volume and total lesion glycolysis are superior to conventional positron-emission tomography/computed tomography variables for outcome prediction in patients with newly diagnosed multiple myeloma in clinical practice. Br J Haematol. 2020;191(2):223–30.
Article CAS PubMed Google Scholar
Takahashi MES, Mosci C, Souza EM, Brunetto SQ, Etchebehere E, Santos AO, et al. Proposal for a quantitative [18F]FDG PET/CT metabolic parameter to assess the intensity of bone involvement in multiple myeloma. Sci Rep. 2019;9(1):16429.
Article ADS PubMed PubMed Central Google Scholar
Sachpekidis C, Enqvist O, Ulén J, Kopp-Schneider A, Pan L, Jauch A, Hajiyianni M, John L, Weinhold N, Sauer S, Goldschmidt H, Edenbrandt L, Dimitrakopoulou-Strauss A. Application of an artificial intelligence-based tool in [18F]FDG PET/CT for the assessment of bone marrow involvement in multiple myeloma. Eur J Nucl Med Mol Imaging. 2023;50(12):3697–708. https://doi.org/10.1007/s00259-023-06339-5.
Article CAS PubMed PubMed Central Google Scholar
International Myeloma Working Group. Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group. Br J Haematol. 2003;121(5):749–57.
Goldschmidt H, Mai EK, Dürig J, Scheid C, Weisel KC, Kunz C, Bertsch U, Hielscher T, Merz M, Munder M, Lindemann HW, Hügle-Dörr B, Tichy D, Giesen N, Hose D, Seckinger A, Huhn S, Luntz S, Jauch A, Elmaagacli A, Rabold B, Fuhrmann S, Brossart P, Goerner M, Bernhard H, Hoffmann M, Hillengass J, Raab MS, Blau IW, Hänel M, Salwender HJ; German-speaking Myeloma Multicenter Group (GMMG). Response-adapted lenalidomide maintenance in newly diagnosed myeloma: results from the phase III GMMG-MM5 trial. Leukemia. 2020 34(7):1853–1865. https://doi.org/10.1038/s41375-020-0724-1
Sachpekidis C, Merz M, Kopp-Schneider A, Jauch A, Raab MS, Sauer S, Hillengass J, Goldschmidt H, Dimitrakopoulou-Strauss A. Quantitative dynamic 18F-fluorodeoxyglucose positron emission tomography/computed tomography before autologous stem cell transplantation predicts survival in multiple myeloma. Haematologica. 2019;104(9):e420–3. https://doi.org/10.3324/haematol.2018.213041.
Article CAS PubMed PubMed Central Google Scholar
Sachpekidis C, Merz M, Raab MS, Bertsch U, Weru V, Kopp-Schneider A, Jauch A, Goldschmidt H, Dimitrakopoulou-Strauss A. The prognostic significance of [18F]FDG PET/CT in multiple myeloma according to novel interpretation criteria (IMPeTUs). EJNMMI Res. 2021;11(1):100. https://doi.org/10.1186/s13550-021-00846-y.
Article CAS PubMed PubMed Central Google Scholar
Trägårdh E, Borrelli P, Kaboteh R, Gillberg T, Ulén J, Enqvist O, Edenbrandt L. RECOMIA-a cloud-based platform for artificial intelligence research in nuclear medicine and radiology. EJNMMI Phys. 2020;7(1):51. https://doi.org/10.1186/s40658-020-00316-9.
Article PubMed PubMed Central Google Scholar
Neben K, Lokhorst HM, Jauch A, et al. Administration of bortezomib before and after autologous stem cell transplantation improves outcome in multiple myeloma patients with deletion 17p. Blood. 2012;119(4):940–8.
Article CAS PubMed Google Scholar
Fonti R, Larobina M, Del Vecchio S, De Luca S, Fabbricini R, Catalano L, et al. Metabolic tumor volume assessed by 18F-FDG PET/CT for the prediction of outcome in patients with multiple myeloma. J Nucl Med. 2012;53:1829–35.
Article CAS PubMed Google Scholar
Meignan M, Cottereau AS, Versari A, Chartier L, Dupuis J, Boussetta S, Grassi I, Casasnovas RO, Haioun C, Tilly H, Tarantino V, Dubreuil J, Federico M, Salles G, Luminari S, Trotman J. Baseline metabolic tumor volume predicts outcome in high-tumor-burden follicular lymphoma: a pooled analysis of three multicenter studies. J Clin Oncol. 2016;34(30):3618–26. https://doi.org/10.1200/JCO.2016.66.9440.
Moskowitz AJ, Schöder H, Gavane S, Thoren KL, Fleisher M, Yahalom J, McCall SJ, Cadzin BR, Fox SY, Gerecitano J, Grewal R, Hamlin PA, Horwitz SM, Kumar A, Matasar M, Ni A, Noy A, Palomba ML, Perales MA, Portlock CS, Sauter C, Straus D, Younes A, Zelenetz AD, Moskowitz CH. Prognostic significance of baseline metabolic tumor volume in relapsed and refractory Hodgkin lymphoma. Blood. 2017;130(20):2196–203. https://doi.org/10.1182/blood-2017-06-788877.
Article CAS PubMed PubMed Central Google Scholar
Cottereau AS, El-Galaly TC, Becker S, Broussais F, Petersen LJ, Bonnet C, Prior JO, Tilly H, Hutchings M, Casasnovas O, Meignan M. Predictive value of PET response combined with baseline metabolic tumor volume in peripheral T-cell lymphoma patients. J Nucl Med. 2018;59(4):589–95. https://doi.org/10.2967/jnumed.117.193946.
Article CAS PubMed Google Scholar
Kostakoglu L, Chauvie S. PET-derived quantitative metrics for response and prognosis in lymphoma. PET Clin. 2019;14(3):317–29. https://doi.org/10.1016/j.cpet.2019.03.002.
Froelich JW, Salavati A. Artificial intelligence in PET/CT is about to make whole-body tumor burden measurements a clinical reality. Radiology. 2020;294(2):453–4. https://doi.org/10.1148/radiol.2019192425.
Terao T, Machida Y, Narita K, Kuzume A, Tabata R, Tsushima T, et al. Total diffusion volume in MRI vs. total lesion glycolysis in PET/CT for tumor volume evaluation of multiple myeloma. Eur Radiol. 2021 31(8):6136–6144.
Nanni C, Versari A, Chauvie S, Bertone E, Bianchi A, Rensi M, Bellò M, Gallamini A, Patriarca F, Gay F, Gamberi B, Ghedini P, Cavo M, Fanti S, Zamagni E. Interpretation criteria for FDG PET/CT in multiple myeloma (IMPeTUs): final results. IMPeTUs (Italian myeloma criteria for PET USe). Eur J Nucl Med Mol Imaging. 2018;45(5):712–9. https://doi.org/10.1007/s00259-017-3909-8.
Goldschmidt H, Mai EK, Bertsch U, Fenk R, Nievergall E, Tichy D, et al. German-Speaking Myeloma Multicenter Group (GMMG) HD7 investigators. Addition of isatuximab to lenalidomide, bortezomib, and dexamethasone as induction therapy for newly diagnosed, transplantation-eligible patients with multiple myeloma (GMMG-HD7): part 1 of an open-label, multicentre, randomised, active-controlled, phase 3 trial. Lancet Haematol. 2022;9(11):e810-e821.
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