Home Bone Marrow Involvement in Malignant Lymphoma
Post
Cancel

Bone Marrow Involvement in Malignant Lymphoma

Rationale and Objectives

This study aimed to determine the diagnostic utility of standardized uptake values (SUV) and apparent diffusion coefficients (ADC) for assessment of focal and diffuse bone marrow involvement in patients with malignant lymphoma.

Materials and Methods

Sixty treatment-naive patients (28 males; mean age 51.2 ± 16.7 years) with histologically proven lymphoma, who underwent fludeoxyglucose ( 18 F) positron emission tomography-computed tomography ([F18]-FDG-PET/CT) and whole-body diffusion-weighted imaging (WB-DWI) within 7 days, and also routine bone marrow biopsy, were included in this institutional review board-approved, retrospective study. The maximum SUV (SUVmax) on [F18]-FDG-PET/CT, and the mean ADC (ADCmean, ×10 −3 mm 2 /s) on whole-body-DWI, were extracted from focal lesions, or, in their absence, from the thoracic (Th8) and lumbar vertebral bodies (L4), the sacral bone (S1), and the iliac crest. Lesion-to-liver-ratios (SUVmax-ratio) were calculated. Pearson correlation coefficients were used to assess the correlation between SUVmax-ratios and ADCmean values.

Results

Bone marrow involvement was observed in 16 of 60 patients (8 of 16 with diffuse infiltration). The SUVmax-ratio cutoff value was 95.25% for focal and 70.2% for diffuse bone marrow involvement (sensitivity/specificity of 87.5%/86.4% and 100%/43.2%, respectively). The ADCmean cutoff value was 0.498 for focal and 0.401 for diffuse bone marrow involvement (sensitivity/specificity of 100%/90.9% and 87.5%/56.8%, respectively). No significant correlations were found between SUVmax-ratios and ADCmean values in the different groups.

Conclusion

With the liver as reference tissue, quantitative [F18]-FDG-PET/CT may be useful to differentiate bone marrow involvement from normal bone marrow in patients with lymphoma, even though the specificity for diffuse marrow involvement is rather low. Quantitative DWI can be used only to distinguish focal bone marrow lesions from normal bone marrow.

Introduction

Bone marrow is defined as an extranodal site of disease in patients with malignant lymphoma . Therefore, patients with multifocal or diffuse bone marrow involvement are assigned to the highest stage (IV) of the Ann Arbor system, which affects prognosis and treatment. Blind, unilateral bone marrow trephine biopsy (BMB) of the iliac crest is the standard method for the diagnosis of bone marrow involvement .

Fludeoxyglucose ( 18 F) positron emission tomography-computed tomography ([18F]-FDG-PET/CT) is increasingly used as a staging and response assessment tool in malignant lymphomas . In clinical PET imaging, the glucose uptake of cancer cells is measured semiquantitatively by the maximum standardized uptake value (SUVmax). Because the degree of FDG avidity depends on the histologic lymphoma subtypes, [18F]-FDG-PET/CT has a varying sensitivity for the detection of bone marrow involvement , which can show either a focal or a diffuse uptake pattern . The present consensus is that, for patients with Hodgkin lymphoma (HL), [18F]-FDG-PET can completely replace BMB, whereas for patients with diffuse large B-cell Lymphoma (DLBCL), BMB is necessary only if there is a negative [18F]-FDG-PET result . For all other lymphoma subtypes, and particularly for the indolent types, BMB cannot be replaced by [18F]-FDG-PET as yet .

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Materials and Methods

Study Design and Patients

Get Radiology Tree app to read full this article<

Imaging Protocols

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Bone Marrow Biopsy

Get Radiology Tree app to read full this article<

Standard of Reference

Get Radiology Tree app to read full this article<

Image Analysis

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Statistical Analysis

Get Radiology Tree app to read full this article<

Results

Patient Characteristics

Get Radiology Tree app to read full this article<

TABLE 1

Demographics

Total number of patients 60 Age (years) 51.2 (20–80) Male Gender 28 (46.7%) Hodgkin Lymphoma 18 (30%) Diffuse Large B-cell Lymphoma 16 (26.7%) Follicular Lymphoma 11 (18.3%) MALT Lymphoma 6 (10%) Mantle Cell Lymphoma 4 (6.7%) Nodal Marginal Zone Lymphoma 4 (6.7%) Anaplastic Large Cell Lymphoma 1 (1.7%) Bone Marrow Involvement 16 (26.7%) Focal Bone Marrow Involvement 8 (13.3%) Diffuse Bone Marrow Involvement 8 (13.3%)

MALT Lymphoma, extranodal marginal zone B-cell lymphoma of the mucosa-associated lymphoid tissue.

Figure 1, Seventy-seven-year-old female patient with histologically verified marginal zone lymphoma and diffuse bone marrow involvement proven by bone marrow biopsy (BMB) or histology.

Figure 2, Forty-year-old male patient with histologically verified Hodgkin lymphoma and focal bone marrow involvement indicated by imaging.

Get Radiology Tree app to read full this article<

Quantitative Measurements

Get Radiology Tree app to read full this article<

TABLE 2

Mean SUVmax-ratio and ADC (×10 −3 mm 2 /s) values

N Mean SUVmax-ratio ADCmean Normal 44 74.79 ± 21.67 (95%CI: 68.20–81.38) 0.348 ± 0.138 (95%CI: 0.306–0.390) Focal 8 324.13 ± 266.82 (95%CI: 101.07–547.20) 0.769 ± 0.348 (95%CI: 0.477–1.061) Diffuse 8 100.63 ± 32.75 (95%CI: 73.25–128.00) 0.407 ± 0.125 (95%CI: 0.303–0.512) All 60 111.48 ± 126.76 (95%CI: 78.74–144.23) 0.412 ± 0.225 (95%CI: 0.354–0.470)

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Figure 3, Receiver operating characteristic (ROC) curves for the differentiation of normal vs. focally involved ( a, b ) and normal vs. diffusely involved bone marrow ( c, d ) by means of maximum standardized uptake values (SUVmax)-ratio and mean apparent diffusion coefficients (ADCmean) (×10 −3 mm 2s) measurements. AUCs for focal bone marrow involvement were 0.866 for SUVmax-ratios ( a ) and 0.969 for ADCmeans ( b ). Areas under the curve (AUCs) for focal bone marrow involvement were 0.747 for SUVmax-ratios ( c ) and 0.676 for ADCmeans ( d ).

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Correlations Between SUV and ADC Measurements

Get Radiology Tree app to read full this article<

Discussion

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

Get Radiology Tree app to read full this article<

References

  • 1. Lister T.A., Crowther D., Sutcliffe S.B., et. al.: Report of a committee convened to discuss the evaluation and staging of patients with Hodgkin’s disease: Cotswolds meeting. J Clin Oncol 1989; 7: pp. 1630-1636.

  • 2. Cheson B.D., Fisher R.I., Barrington S.F., et. al.: Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. J Clin Oncol 2014; 32: pp. 3059-3068.

  • 3. Barrington S.F., Mikhaeel N.G., Kostakoglu L., et. al.: Role of imaging in the staging and response assessment of lymphoma: consensus of the International Conference on Malignant Lymphomas Imaging Working Group. J Clin Oncol 2014; 32: pp. 3048-3058.

  • 4. Pakos E.E., Fotopoulos A.D., Ioannidis J.P.: 18F-FDG PET for evaluation of bone marrow infiltration in staging of lymphoma: a meta-analysis. J Nucl Med 2005; 46: pp. 958-963.

  • 5. Adams H.J., Kwee T.C., de Keizer B., et. al.: Systematic review and meta-analysis on the diagnostic performance of FDG-PET/CT in detecting bone marrow involvement in newly diagnosed Hodgkin lymphoma: is bone marrow biopsy still necessary?. Ann Oncol 2013; 25: pp. 921-927.

  • 6. Adams H.J., Kwee T.C., de Keizer B., et. al.: FDG PET/CT for the detection of bone marrow involvement in diffuse large B-cell lymphoma: systematic review and meta-analysis. Eur J Nucl Med Mol Imaging 2013; 41: pp. 565-574.

  • 7. Carr R., Barrington S.F., Madan B., et. al.: Detection of lymphoma in bone marrow by whole-body positron emission tomography. Blood 1998; 91: pp. 3340-3346.

  • 8. Murata Y., Kubota K., Yukihiro M., et. al.: Correlations between 18F-FDG uptake by bone marrow and hematological parameters: measurements by PET/CT. Nucl Med Biol 2006; 33: pp. 999-1004.

  • 9. Salaun P.Y., Gastinne T., Bodet-Milin C., et. al.: Analysis of 18F-FDG PET diffuse bone marrow uptake and splenic uptake in staging of Hodgkin’s lymphoma: a reflection of disease infiltration or just inflammation?. Eur J Nucl Med Mol Imaging 2009; 36: pp. 1813-1821.

  • 10. El-Najjar I., Montoto S., McDowell A., et. al.: The value of semiquantitative analysis in identifying diffuse bone marrow involvement in follicular lymphoma. Nucl Med Commun 2014; 35: pp. 311-315.

  • 11. Koh D.M., Collins D.J.: Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol 2007; 188: pp. 1622-1635.

  • 12. Nonomura Y., Yasumoto M., Yoshimura R., et. al.: Relationship between bone marrow cellularity and apparent diffusion coefficient. J Magn Reson Imaging 2001; 13: pp. 757-760.

  • 13. Messiou C., Collins D.J., Morgan V.A., et. al.: Optimising diffusion weighted MRI for imaging metastatic and myeloma bone disease and assessing reproducibility. Eur Radiol 2011; 21: pp. 1713-1718.

  • 14. Albano D., Patti C., Lagalla R., et. al.: Whole-body MRI, FDG-PET/CT, and bone marrow biopsy, for the assessment of bone marrow involvement in patients with newly diagnosed lymphoma. J Magn Reson Imaging 2017; 45: pp. 1082-1089.

  • 15. Jaffe E.S.: The 2008 WHO classification of lymphomas: implications for clinical practice and translational research. Hematology Am Soc Hematol Educ Program 2009; pp. 523-531.

  • 16. Asenbaum U., Nolz R., Karanikas G., et. al.: Evaluation of [18F]-FDG-Based Hybrid Imaging Combinations for Assessment of Bone Marrow Involvement in Lymphoma at Initial Staging. PLoS ONE 2016; 11: e0164118

  • 17. Itti E., Juweid M.E., Haioun C., et. al.: Improvement of early 18F-FDG PET interpretation in diffuse large B-cell lymphoma: importance of the reference background. J Nucl Med 2010; 51: pp. 1857-1862.

  • 18. Adams H.J., Kwee T.C., Fijnheer R., et. al.: Diffusely increased bone marrow FDG uptake in recently untreated lymphoma: incidence and relevance. Eur J Haematol 2014; 95: pp. 83-89.

  • 19. Kwee T.C., de Klerk J.M., Nievelstein R.A.: Imaging of bone marrow involvement in lymphoma: state of the art and future directions. ScientificWorldJournal 2011; 11: pp. 391-402.

  • 20. Keyes J.W.: SUV: standard uptake or silly useless value?. J Nucl Med 1995; 36: pp. 1836-1839.

  • 21. Adams H.J., Kwee T.C., Fijnheer R., et. al.: Utility of quantitative FDG-PET/CT for the detection of bone marrow involvement in follicular lymphoma: a histopathological correlation study. Skeletal Radiol 2014; 43: pp. 1231-1236.

  • 22. Adams H.J., Kwee T.C., Fijnheer R., et. al.: Direct comparison of visual and quantitative bone marrow FDG-PET/CT findings with bone marrow biopsy results in diffuse large B-cell lymphoma: does bone marrow FDG-PET/CT live up to its promise?. Acta Radiol 2014; 56: pp. 1230-1235.

  • 23. Herrmann J., Krstin N., Schoennagel B.P., et. al.: Age-related distribution of vertebral bone-marrow diffusivity. Eur J Radiol 2012; 81: pp. 4046-4049.

  • 24. Padhani A.R., van Ree K., Collins D.J., et. al.: Assessing the relation between bone marrow signal intensity and apparent diffusion coefficient in diffusion-weighted MRI. AJR Am J Roentgenol 2013; 200: pp. 163-170.

  • 25. Ho K.C., Lin G., Wang J.J., et. al.: Correlation of apparent diffusion coefficients measured by 3T diffusion-weighted MRI and SUV from FDG PET/CT in primary cervical cancer. Eur J Nucl Med Mol Imaging 2009; 36: pp. 200-208.

  • 26. Gu J., Chan T., Zhang J., et. al.: Whole-body diffusion-weighted imaging: the added value to whole-body MRI at initial diagnosis of lymphoma. AJR Am J Roentgenol 2011; 197: pp. W384-W391.

  • 27. Wu X., Korkola P., Pertovaara H., et. al.: No correlation between glucose metabolism and apparent diffusion coefficient in diffuse large B-cell lymphoma: a PET/CT and DW-MRI study. Eur J Radiol 2011; 79: pp. e117-e121.

  • 28. Rakheja R., Chandarana H., DeMello L., et. al.: Correlation between standardized uptake value and apparent diffusion coefficient of neoplastic lesions evaluated with whole-body simultaneous hybrid PET/MRI. AJR Am J Roentgenol 2013; 201: pp. 1115-1119.

This post is licensed under CC BY 4.0 by the author.