Skip to main content
Log in

Intravoxel incoherent motion imaging for assessment of bone marrow infiltration of monoclonal plasma cell diseases

  • Original Article
  • Published:
Annals of Hematology Aims and scope Submit manuscript

Abstract

Modern imaging techniques have demonstrated that monoclonal plasma cell diseases infiltrate the bone marrow in a diffuse, focal, mixed pattern. While focal lesions can be easily counted and measured, the diffuse lesions of the infiltration are hard to assess. We therefore investigated 31 patients with monoclonal plasma cell diseases of all stages with intravoxel incoherent motion imaging of the same region of the pelvis from where afterwards a biopsy was obtained. We found a significant correlation between plasma cell percentage in bone marrow histology and the imaging parameters “apparent diffusion coefficient” and the diffusion coefficient D. Furthermore, those parameters correlated with other factors of disease activity, e.g., monoclonal protein, hemoglobin, and immunoparesis. In summary, we found that the non-invasively acquired imaging parameters correlated with the degree of plasma cell infiltration in the bone marrow.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. International Myeloma Working Group (2003) Criteria for the classification of monoclonal gammopathies, multiple myeloma and related disorders: a report of the International Myeloma Working Group. Br J Haematol 121(5):749–757

    Article  Google Scholar 

  2. Walker R, Barlogie B, Haessler J, Tricot G, Anaissie E, Shaughnessy JD Jr, Epstein J, Van HR, Erdem E, Hoering A, Crowley J, Ferris E, Hollmig K, Van RF, Zangari M, Pineda-Roman M, Mohiuddin A, Yaccoby S, Sawyer J, Angtuaco EJ (2007) Magnetic resonance imaging in multiple myeloma: diagnostic and clinical implications. JClinOncol 25(9):1121–1128

    Article  Google Scholar 

  3. Bartel TB, Haessler J, Brown TL, Shaughnessy JD Jr, van Rhee F, Anaissie E, Alpe T, Angtuaco E, Walker R, Epstein J, Crowley J, Barlogie B (2009) F18-fluorodeoxyglucose positron emission tomography in the context of other imaging techniques and prognostic factors in multiple myeloma. Blood 114(10):2068–2076. doi:10.1182/blood-2009-03-213280

    Article  PubMed  CAS  Google Scholar 

  4. Zamagni E, Patriarca F, Nanni C, Zannetti B, Englaro E, Pezzi A, Tacchetti P, Buttignol S, Perrone G, Brioli A, Pantani L, Terragna C, Carobolante F, Baccarani M, Fanin R, Fanti S, Cavo M (2011) Prognostic relevance of 18-F FDG PET/CT in newly diagnosed multiple myeloma patients treated with up-front autologous transplantation. Blood 118(23):5989–5995. doi:10.1182/blood-2011-06-361386

    Article  PubMed  CAS  Google Scholar 

  5. Hillengass J, Fechtner K, Weber MA, Bauerle T, Ayyaz S, Heiss C, Hielscher T, Moehler TM, Egerer G, Neben K, Ho AD, Kauczor HU, Delorme S, Goldschmidt H (2010) Prognostic significance of focal lesions in whole-body magnetic resonance imaging in patients with asymptomatic multiple myeloma. JClinOncol 28(9):1606–1610

    Article  Google Scholar 

  6. Stabler A, Baur A, Bartl R, Munker R, Lamerz R, Reiser MF (1996) Contrast enhancement and quantitative signal analysis in MR imaging of multiple myeloma: assessment of focal and diffuse growth patterns in marrow correlated with biopsies and survival rates. AJR American journal of roentgenology 167(4):1029–1036

    Article  PubMed  CAS  Google Scholar 

  7. Moulopoulos LA, Dimopoulos MA, Christoulas D, Kastritis E, Anagnostou D, Koureas A, Roussou M, Gavriatopoulou M, Migkou M, Iakovaki M, Gkotzamanidou M, Tasidou A, Terpos E (2010) Diffuse MRI marrow pattern correlates with increased angiogenesis, advanced disease features and poor prognosis in newly diagnosed myeloma treated with novel agents. Leukemia 24(6):1206–1212

    Article  PubMed  CAS  Google Scholar 

  8. Baur A, Stabler A, Nagel D, Lamerz R, Bartl R, Hiller E, Wendtner C, Bachner F, Reiser M (2002) Magnetic resonance imaging as a supplement for the clinical staging system of Durie and Salmon? Cancer 95(6):1334–1345

    Article  PubMed  Google Scholar 

  9. Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168(2):497–505

    PubMed  Google Scholar 

  10. Hillengass J, Bauerle T, Bartl R, Andrulis M, McClanahan F, Laun FB, Zechmann CM, Shah R, Wagner-Gund B, Simon D, Heiss C, Neben K, Ho AD, Schlemmer HP, Goldschmidt H, Delorme S, Stieltjes B (2011) Diffusion-weighted imaging for non-invasive and quantitative monitoring of bone marrow infiltration in patients with monoclonal plasma cell disease: a comparative study with histology. BrJHaematol 153(6):721–728

    Article  Google Scholar 

  11. Brighenti A, Andrulis M, Geissinger E, Roth S, Muller-Hermelink HK, Rudiger T (2005) Extrafollicular proliferation of B cells in the absence of follicular hyperplasia: a distinct reaction pattern in lymph nodes correlated with primary or recall type responses. Histopathology 47(1):90–100. doi:10.1111/j.1365-2559.2005.02173.x

    Article  PubMed  CAS  Google Scholar 

  12. Riccardi A, Ucci G, Luoni R, Castello A, Coci A, Magrini U, Ascari E (1990) Bone marrow biopsy in monoclonal gammopathies: correlations between pathological findings and clinical data. The cooperative group for study and treatment of multiple myeloma. J Clin Pathol 43(6):469–475

    Article  PubMed  CAS  Google Scholar 

  13. Kumar SK, Rajkumar SV, Dispenzieri A, Lacy MQ, Hayman SR, Buadi FK, Zeldenrust SR, Dingli D, Russell SJ, Lust JA, Greipp PR, Kyle RA, Gertz MA (2008) Improved survival in multiple myeloma and the impact of novel therapies. Blood 111(5):2516–2520. doi:10.1182/blood-2007-10-116129

    Article  PubMed  CAS  Google Scholar 

  14. Jakubowiak AJ, Dytfeld D, Griffith KA, Lebovic D, Vesole DH, Jagannath S, Al-Zoubi A, Anderson T, Nordgren B, Detweiler-Short K, Stockerl-Goldstein K, Ahmed A, Jobkar T, Durecki D, McDonnell K, Mietzel M, Couriel D, Kaminski M, Vij R (2012) A phase 1/2 study of carfilzomib in combination with lenalidomide and low-dose dexamethasone as a frontline treatment for multiple myeloma. Blood. doi:10.1182/blood-2012-04-422683

    Google Scholar 

  15. Hillengass J, Ayyaz S, Kilk K, Weber MA, Hielscher T, Shah R, Hose D, Delorme S, Goldschmidt H, Neben K (2012) Changes in magnetic resonance imaging before and after autologous stem cell transplantation correlate with response and survival in multiple myeloma. Haematologica 97(11):1757–1760. doi:10.3324/haematol.2012.065359

    Article  PubMed  Google Scholar 

  16. Barlogie B, Anaissie E, van Rhee F, Pineda-Roman M, Zangari M, Shaughnessy J, Epstein J, Crowley J (2007) The Arkansas approach to therapy of patients with multiple myeloma. Best practice and research Clinical haematology 20(4):761–781. doi:10.1016/j.beha.2007.09.005

    Article  PubMed  CAS  Google Scholar 

  17. Nonomura Y, Yasumoto M, Yoshimura R, Haraguchi K, Ito S, Akashi T, Ohashi I (2001) Relationship between bone marrow cellularity and apparent diffusion coefficient. JMRI 13(5):757–760

    Article  PubMed  CAS  Google Scholar 

  18. Greipp PR, Lust JA, O'Fallon WM, Katzmann JA, Witzig TE, Kyle RA (1993) Plasma cell labeling index and beta 2-microglobulin predict survival independent of thymidine kinase and C-reactive protein in multiple myeloma. Blood 81(12):3382–3387

    PubMed  CAS  Google Scholar 

  19. Zamagni E, Nanni C, Patriarca F, Englaro E, Castellucci P, Geatti O, Tosi P, Tacchetti P, Cangini D, Perrone G, Ceccolini M, Brioli A, Buttignol S, Fanin R, Salizzoni E, Baccarani M, Fanti S, Cavo M (2007) A prospective comparison of 18F-fluorodeoxyglucose positron emission tomography-computed tomography, magnetic resonance imaging and whole-body planar radiographs in the assessment of bone disease in newly diagnosed multiple myeloma. Haematologica 92(1):50–55

    Article  PubMed  Google Scholar 

  20. Horger M, Weisel K, Horger W, Mroue A, Fenchel M, Lichy M (2011) Whole-body diffusion-weighted MRI with apparent diffusion coefficient mapping for early response monitoring in multiple myeloma: preliminary results. AJR American journal of roentgenology 196(6):W790–W795. doi:10.2214/AJR.10.5979

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

Parts of this study have been supported by a grant from the German Research Foundation (Transregio 79) and a grant from the International Myeloma Foundation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rajiv Shah.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shah, R., Stieltjes, B., Andrulis, M. et al. Intravoxel incoherent motion imaging for assessment of bone marrow infiltration of monoclonal plasma cell diseases. Ann Hematol 92, 1553–1557 (2013). https://doi.org/10.1007/s00277-013-1786-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00277-013-1786-1

Keywords

Navigation