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For: Mai EK, Hielscher T, Kloth JK, Merz M, Shah S, Raab MS, Hillengass M, Wagner B, Jauch A, Hose D, Weber MA, Delorme S, Goldschmidt H, Hillengass J. A magnetic resonance imaging-based prognostic scoring system to predict outcome in transplant-eligible patients with multiple myeloma. Haematologica 2015;100:818-25. [PMID: 25795721 DOI: 10.3324/haematol.2015.124115] [Cited by in Crossref: 29] [Cited by in F6Publishing: 27] [Article Influence: 4.1] [Reference Citation Analysis]
Number Citing Articles
1 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]
2 Brandelik SC, Krzykalla J, Hielscher T, Hillengass J, Kloth JK, Kauczor HU, Weber MA. [Focal lesions in whole-body MRI in multiple myeloma : Quantification of tumor mass and correlation with disease-related parameters and prognosis]. Radiologe 2018;58:72-8. [PMID: 28905085 DOI: 10.1007/s00117-017-0299-7] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.6] [Reference Citation Analysis]
3 Koutoulidis V, Fontara S, Terpos E, Zagouri F, Matsaridis D, Christoulas D, Panourgias E, Kastritis E, Dimopoulos MA, Moulopoulos LA. Quantitative Diffusion-weighted Imaging of the Bone Marrow: An Adjunct Tool for the Diagnosis of a Diffuse MR Imaging Pattern in Patients with Multiple Myeloma. Radiology. 2017;282:484-493. [PMID: 27610934 DOI: 10.1148/radiol.2016160363] [Cited by in Crossref: 44] [Cited by in F6Publishing: 41] [Article Influence: 7.3] [Reference Citation Analysis]
4 Rasche L, Angtuaco EJ, Alpe TL, Gershner GH, McDonald JE, Samant RS, Kumar M, Van Hemert R, Epstein J, Deshpande S, Tytarenko R, Yaccoby S, Hillengass J, Thanendrarajan S, Schinke C, van Rhee F, Zangari M, Walker BA, Barlogie B, Morgan GJ, Davies FE, Weinhold N. The presence of large focal lesions is a strong independent prognostic factor in multiple myeloma. Blood 2018;132:59-66. [PMID: 29784643 DOI: 10.1182/blood-2018-04-842880] [Cited by in Crossref: 30] [Cited by in F6Publishing: 32] [Article Influence: 7.5] [Reference Citation Analysis]
5 Lehners N, Hayden PJ, Goldschmidt H, Raab MS. Management of high-risk Myeloma: an evidence-based review of treatment strategies. Expert Rev Hematol 2016;9:753-65. [PMID: 27337562 DOI: 10.1080/17474086.2016.1204908] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
6 Terpos E, Dimopoulos MA, Moulopoulos LA. The Role of Imaging in the Treatment of Patients With Multiple Myeloma in 2016. Am Soc Clin Oncol Educ Book 2016;35:e407-17. [PMID: 27249748 DOI: 10.1200/EDBK_159074] [Cited by in Crossref: 15] [Cited by in F6Publishing: 18] [Article Influence: 3.0] [Reference Citation Analysis]
7 Merz M, Hielscher T, Mai EK, Seckinger A, Hose D, Jauch A, Sauer S, Luntz S, Bertsch U, Raab MS, Neben K, Salwender H, Blau IW, Lindemann HW, Dürig J, Scheid C, Haenel M, Weisel K, Weber T, Delorme S, Goldschmidt H, Hillengass J. Cystic transformation of focal lesions after therapy is associated with remission but adverse outcome in myeloma. Blood Cancer J 2019;9:71. [PMID: 31455768 DOI: 10.1038/s41408-019-0235-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.3] [Reference Citation Analysis]
8 Pawlyn C, Fowkes L, Otero S, Jones JR, Boyd KD, Davies FE, Morgan GJ, Collins DJ, Sharma B, Riddell A, Kaiser MF, Messiou C. Whole-body diffusion-weighted MRI: a new gold standard for assessing disease burden in patients with multiple myeloma? Leukemia 2016;30:1446-8. [PMID: 26648535 DOI: 10.1038/leu.2015.338] [Cited by in Crossref: 75] [Cited by in F6Publishing: 59] [Article Influence: 10.7] [Reference Citation Analysis]
9 Kosmala A, Weng AM, Krauss B, Knop S, Bley TA, Petritsch B. Dual-energy CT of the bone marrow in multiple myeloma: diagnostic accuracy for quantitative differentiation of infiltration patterns. Eur Radiol 2018;28:5083-90. [DOI: 10.1007/s00330-018-5537-5] [Cited by in Crossref: 22] [Cited by in F6Publishing: 20] [Article Influence: 5.5] [Reference Citation Analysis]
10 Jo A, Jung JY, Lee SY, Lee SE, Park H, Lee SE, Min CK. Prognosis Prediction in Initially Diagnosed Multiple Myeloma Patients Using Intravoxel Incoherent Motion-Diffusion Weighted Imaging and Multiecho Dixon Imaging. J Magn Reson Imaging 2021;53:491-501. [PMID: 32812318 DOI: 10.1002/jmri.27321] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Latifoltojar A, Hall-Craggs M, Rabin N, Popat R, Bainbridge A, Dikaios N, Sokolska M, Rismani A, D'Sa S, Punwani S, Yong K. Whole body magnetic resonance imaging in newly diagnosed multiple myeloma: early changes in lesional signal fat fraction predict disease response. Br J Haematol 2017;176:222-33. [PMID: 27766627 DOI: 10.1111/bjh.14401] [Cited by in Crossref: 26] [Cited by in F6Publishing: 28] [Article Influence: 4.3] [Reference Citation Analysis]
12 Piraud M, Wennmann M, Kintzelé L, Hillengass J, Keller U, Langs G, Weber MA, Menze BH. Towards quantitative imaging biomarkers of tumor dissemination: A multi-scale parametric modeling of multiple myeloma. Med Image Anal 2019;57:214-25. [PMID: 31349146 DOI: 10.1016/j.media.2019.07.001] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 1.7] [Reference Citation Analysis]
13 Chen J, Li C, Tian Y, Xiao Q, Deng M, Hu H, Wen B, He Y. Comparison of Whole-Body DWI and 18F-FDG PET/CT for Detecting Intramedullary and Extramedullary Lesions in Multiple Myeloma. AJR Am J Roentgenol 2019;213:514-23. [PMID: 31166755 DOI: 10.2214/AJR.18.20989] [Cited by in Crossref: 21] [Cited by in F6Publishing: 9] [Article Influence: 7.0] [Reference Citation Analysis]
14 Messiou C, Porta N, Sharma B, Levine D, Koh DM, Boyd K, Pawlyn C, Riddell A, Downey K, Croft J, Morgan V, Stern S, Cheung B, Kyriakou C, Kaczmarek P, Winfield J, Blackledge M, Oyen WJG, Kaiser MF. Prospective Evaluation of Whole-Body MRI versus FDG PET/CT for Lesion Detection in Participants with Myeloma. Radiol Imaging Cancer 2021;3:e210048. [PMID: 34559006 DOI: 10.1148/rycan.2021210048] [Reference Citation Analysis]
15 Mai EK, Hielscher T, Kloth JK, Merz M, Shah S, Hillengass M, Wagner B, Hose D, Raab M, Jauch A, Delorme S, Goldschmidt H, Weber M, Hillengass J. Association between magnetic resonance imaging patterns and baseline disease features in multiple myeloma: analyzing surrogates of tumour mass and biology. Eur Radiol 2016;26:3939-48. [DOI: 10.1007/s00330-015-4195-0] [Cited by in Crossref: 16] [Cited by in F6Publishing: 13] [Article Influence: 2.7] [Reference Citation Analysis]
16 Zeissig MN, Zannettino ACW, Vandyke K. Tumour Dissemination in Multiple Myeloma Disease Progression and Relapse: A Potential Therapeutic Target in High-Risk Myeloma. Cancers (Basel) 2020;12:E3643. [PMID: 33291672 DOI: 10.3390/cancers12123643] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
17 Moulopoulos LA, Koutoulidis V. Whole‐Body MRI of the Bone Marrow: Reporting. J Magn Reson Imaging 2018. [DOI: 10.1002/jmri.26595] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
18 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;11:3767-80. [PMID: 34341748 DOI: 10.21037/qims-20-1361] [Reference Citation Analysis]
19 Cassou-mounat T, Balogova S, Nataf V, Calzada M, Huchet V, Kerrou K, Devaux J, Mohty M, Talbot J, Garderet L. 18F-fluorocholine versus 18F-fluorodeoxyglucose for PET/CT imaging in patients with suspected relapsing or progressive multiple myeloma: a pilot study. Eur J Nucl Med Mol Imaging 2016;43:1995-2004. [DOI: 10.1007/s00259-016-3392-7] [Cited by in Crossref: 42] [Cited by in F6Publishing: 30] [Article Influence: 7.0] [Reference Citation Analysis]
20 Croft J, Riddell A, Koh DM, Downey K, Blackledge M, Usher M, Boyd K, Kaiser M, Messiou C. Inter-observer agreement of baseline whole body MRI in multiple myeloma. Cancer Imaging 2020;20:48. [PMID: 32665028 DOI: 10.1186/s40644-020-00328-9] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
21 Lecouvet FE, Van Nieuwenhove S, Jamar F, Lhommel R, Guermazi A, Pasoglou VP. Whole-Body MR Imaging: The Novel, "Intrinsically Hybrid," Approach to Metastases, Myeloma, Lymphoma, in Bones and Beyond. PET Clin 2018;13:505-22. [PMID: 30219185 DOI: 10.1016/j.cpet.2018.05.006] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
22 Brandelik SC, Skornitzke S, Mokry T, Sauer S, Stiller W, Nattenmüller J, Kauczor HU, Weber TF, Do TD. Quantitative and qualitative assessment of plasma cell dyscrasias in dual-layer spectral CT. Eur Radiol 2021. [PMID: 33783572 DOI: 10.1007/s00330-021-07821-0] [Reference Citation Analysis]
23 Wang PF, Li YC, Xu Y, Wang XM, Guo L, Fu CC. [Role of whole-body diffusion weighted imaging (WB-DWI) in the diagnosis and monitoring of newly diagnosed multiple myeloma]. Zhonghua Xue Ye Xue Za Zhi 2017;38:129-33. [PMID: 28279037 DOI: 10.3760/cma.j.issn.0253-2727.2017.02.009] [Reference Citation Analysis]
24 Messiou C, Hillengass J, Delorme S, Lecouvet FE, Moulopoulos LA, Collins DJ, Blackledge MD, Abildgaard N, Østergaard B, Schlemmer HP, Landgren O, Asmussen JT, Kaiser MF, Padhani A. 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. [PMID: 30806604 DOI: 10.1148/radiol.2019181949] [Cited by in Crossref: 83] [Cited by in F6Publishing: 84] [Article Influence: 27.7] [Reference Citation Analysis]
25 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 2021;126:445-52. [PMID: 32812173 DOI: 10.1007/s11547-020-01258-z] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
26 Wennmann M, Hielscher T, Kintzelé L, Menze BH, Langs G, Merz M, Sauer S, Kauczor HU, Schlemmer HP, Delorme S, Goldschmidt H, Weinhold N, Hillengass J, Weber MA. Analyzing Longitudinal wb-MRI Data and Clinical Course in a Cohort of Former Smoldering Multiple Myeloma Patients: Connections between MRI Findings and Clinical Progression Patterns. Cancers (Basel) 2021;13:961. [PMID: 33668879 DOI: 10.3390/cancers13050961] [Reference Citation Analysis]
27 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;11:857. [PMID: 34064594 DOI: 10.3390/diagnostics11050857] [Reference Citation Analysis]
28 Morone M, Bali MA, Tunariu N, Messiou C, Blackledge M, Grazioli L, Koh DM. Whole-Body MRI: Current Applications in Oncology. AJR Am J Roentgenol 2017;209:W336-49. [PMID: 28981354 DOI: 10.2214/AJR.17.17984] [Cited by in Crossref: 36] [Cited by in F6Publishing: 15] [Article Influence: 7.2] [Reference Citation Analysis]