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For: Dutoit JC, Verstraete KL. Whole-body MRI, dynamic contrast-enhanced MRI, and diffusion-weighted imaging for the staging of multiple myeloma. Skeletal Radiol 2017;46:733-50. [PMID: 28289855 DOI: 10.1007/s00256-017-2609-6] [Cited by in Crossref: 20] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Burns R, Mulé S, Blanc-Durand P, Tofighi M, Belhadj K, Zerbib P, Le Bras F, Baranes L, Haioun C, Itti E, Luciani A. Optimization of whole-body 2-[18F]FDG-PET/MRI imaging protocol for the initial staging of patients with myeloma. Eur Radiol 2021. [PMID: 34842956 DOI: 10.1007/s00330-021-08388-6] [Reference Citation Analysis]
2 Ormond Filho AG, Carneiro BC, Pastore D, Silva IP, Yamashita SR, Consolo FD, Hungria VTM, Sandes AF, Rizzatti EG, Nico MAC. Whole-Body Imaging of Multiple Myeloma: Diagnostic Criteria. RadioGraphics 2019;39:1077-97. [DOI: 10.1148/rg.2019180096] [Cited by in Crossref: 20] [Cited by in F6Publishing: 13] [Article Influence: 6.7] [Reference Citation Analysis]
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5 Hameed M, Sandhu A, Soneji N, Amiras D, Rockall A, Messiou C, Wallitt K, Barwick TD. Pictorial review of whole body MRI in myeloma: emphasis on diffusion-weighted imaging. Br J Radiol 2020;93:20200312. [PMID: 32667830 DOI: 10.1259/bjr.20200312] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
6 Singh S, Pilavachi E, Dudek A, Bray TJP, Latifoltojar A, Rajesparan K, Punwani S, Hall-Craggs MA. Whole body MRI in multiple myeloma: Optimising image acquisition and read times. PLoS One 2020;15:e0228424. [PMID: 31999774 DOI: 10.1371/journal.pone.0228424] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
7 Reinert CP, Krieg E, Esser M, Nikolaou K, Bösmüller H, Horger M. Role of computed tomography texture analysis using dual-energy-based bone marrow imaging for multiple myeloma characterization: comparison with histology and established serologic parameters. Eur Radiol 2021;31:2357-67. [PMID: 33011876 DOI: 10.1007/s00330-020-07320-8] [Reference Citation Analysis]
8 Ekert K, Hinterleitner C, Baumgartner K, Fritz J, Horger M. Extended Texture Analysis of Non-Enhanced Whole-Body MRI Image Data for Response Assessment in Multiple Myeloma Patients Undergoing Systemic Therapy. Cancers (Basel). 2020;12. [PMID: 32213834 DOI: 10.3390/cancers12030761] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 6.5] [Reference Citation Analysis]
9 Singh S, Bray T, Hall-craggs M. Quantifying bone structure, micro-architecture, and pathophysiology with MRI. Clinical Radiology 2018;73:221-30. [DOI: 10.1016/j.crad.2017.12.010] [Cited by in Crossref: 10] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
10 Fervers P, Fervers F, Kottlors J, Lohneis P, Pollman-schweckhorst P, Zaytoun H, Rinneburger M, Maintz D, Große Hokamp N. Feasibility of artificial intelligence–supported assessment of bone marrow infiltration using dual-energy computed tomography in patients with evidence of monoclonal protein — a retrospective observational study. Eur Radiol. [DOI: 10.1007/s00330-021-08419-2] [Reference Citation Analysis]
11 Wu F, Bernard S, Fayad LM, Ilaslan H, Messiou C, Moulopoulos LA, Mulligan ME. Updates and Ongoing Challenges in Imaging of Multiple Myeloma: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2021;217:775-85. [PMID: 33978464 DOI: 10.2214/AJR.21.25878] [Reference Citation Analysis]
12 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 DOI: 10.3892/etm.2021.10259] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]