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Advanced MRI Techniques of Soft Tissue Tumors

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Functional Imaging in Oncology

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Abstract

Magnetic resonance imaging (MRI) is the method of choice for the preoperative and posttreatment staging of musculoskeletal tumors. In addition, MR imaging offers several advantages when compared with other methods in the evaluation and staging of soft tissue tumors considering high resolution, tissue contrast, and multiplanar capability.

Advanced MR imaging techniques, for example, diffusion-weighted imaging, dynamic contrast-enhanced imaging, proton MR spectroscopy (MRS), and inphase/opposed-phase imaging, can be used together with conventional images to improve diagnostic accuracy and to evaluate response to treatment.

The aim of this chapter is to discuss the role of advanced MRI techniques in the workup of detection and characterization of MSK tumors and analyze response to treatment.

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Abbreviations

ADC:

Apparent diffusion coefficient

Cho:

Choline

CT:

Computed tomography

DWI:

Diffusion-weighted imaging

GCT:

Giant cell tumor

MRI:

Magnetic resonance imaging

MRS:

Magnetic resonance spectroscopy

MSK:

Musculoskeletal

ROI:

Region of interest

SRBC:

Small round blue cell

WHO:

World Health Organization

References

  1. Costa FM, et al. Advanced magnetic resonance imaging techniques in the evaluation of musculoskeletal tumors. Radiol Clin North Am. 2011;49(6):1325–58, vii–viii.

    Article  PubMed  Google Scholar 

  2. Calleja M, et al. MRI of superficial soft tissue masses: analysis of features useful in distinguishing between benign and malignant lesions. Skeletal Radiol. 2012;41(12):1517–24.

    Article  PubMed  Google Scholar 

  3. Costa FM, et al. Diffusion-weighted magnetic resonance imaging for the evaluation of musculoskeletal tumors. Magn Reson Imaging Clin N Am. 2011;19(1):159–80.

    Article  PubMed  Google Scholar 

  4. Dinauer PA, et al. Pathologic and MR imaging features of benign fibrous soft-tissue tumors in adults. Radiographics. 2007;27(1):173–87.

    Article  PubMed  Google Scholar 

  5. Lee JC, et al. Aggressive fibromatosis: MRI features with pathologic correlation. AJR Am J Roentgenol. 2006;186(1):247–54.

    PubMed  Google Scholar 

  6. Kransdorf MJ, Murphey MD. Imaging of soft tissue tumors. In: Mc Allister L, Barrett K, editors. Imaging of soft tissue tumors. Philadelphia: Lippincott Williams & Wilkins; 2006. p. 38–79.

    Google Scholar 

  7. Harish S, et al. MR imaging of skeletal soft tissue infection: utility of diffusion-weighted imaging in detecting abscess formation. Skeletal Radiol. 2011;40(3):285–94.

    Article  PubMed  Google Scholar 

  8. Oka K, et al. Ability of diffusion-weighted imaging for the differential diagnosis between chronic expanding hematomas and malignant soft tissue tumors. J Magn Reson Imaging. 2008;28(5):1195–200.

    Article  PubMed  Google Scholar 

  9. Verstraete KL, et al. Benign and malignant musculoskeletal lesions: dynamic contrast-enhanced MR imaging–parametric “first-pass” images depict tissue vascularization and perfusion. Radiology. 1994;192(3):835–43.

    CAS  PubMed  Google Scholar 

  10. Verstraete KL, Lang P. Bone and soft tissue tumors: the role of contrast agents for MR imaging. Eur J Radiol. 2000;34(3):229–46.

    Article  CAS  PubMed  Google Scholar 

  11. Maeda M, et al. Soft-tissue tumors evaluated by line-scan diffusion-weighted imaging: influence of myxoid matrix on the apparent diffusion coefficient. J Magn Reson Imaging. 2007;25(6):1199–204.

    Article  PubMed  Google Scholar 

  12. Nagata S, et al. Usefulness of diffusion-weighted MRI in differentiating benign from malignant musculoskeletal tumors. Nippon Igaku Hoshasen Gakkai Zasshi. 2005;65(1):30–6.

    PubMed  Google Scholar 

  13. Nagata S, et al. Diffusion-weighted imaging of soft tissue tumors: usefulness of the apparent diffusion coefficient for differential diagnosis. Radiat Med. 2008;26(5):287–95.

    Article  PubMed  Google Scholar 

  14. van Rijswijk CS, et al. Diffusion-weighted MRI in the characterization of soft-tissue tumors. J Magn Reson Imaging. 2002;15(3):302–7.

    Article  PubMed  Google Scholar 

  15. Sundaram M, et al. Myxoid liposarcoma: magnetic resonance imaging appearances with clinical and histological correlation. Skeletal Radiol. 1990;19(5):359–62.

    Article  CAS  PubMed  Google Scholar 

  16. O’Keeffe F, et al. Radiological features of extraskeletal Ewing sarcoma. Br J Radiol. 1990;63(750):456–60.

    Article  PubMed  Google Scholar 

  17. Bracke P, et al. Soft tissue lymphoma. In: De Schepper AM, Vanhoenacker F, Gielen J, Parizel PM, editors. Imaging of soft tissue tumors. 3rd ed. Berlin: Springer; 2006. p. 462–9.

    Google Scholar 

  18. Laffan EE, et al. Pediatric soft-tissue tumors and pseudotumors: MR imaging features with pathologic correlation: part 2. Tumors of fibroblastic/myofibroblastic, so-called fibrohistiocytic, muscular, lymphomatous, neurogenic, hair matrix, and uncertain origin. Radiographics. 2009;29(4):e36.

    Article  PubMed  Google Scholar 

  19. Doganay S, et al. The role of MRS in the differentiation of benign and malignant soft tissue and bone tumors. Eur J Radiol. 2011;79(2):e33–7.

    Article  PubMed  Google Scholar 

  20. Wang CK, et al. Characterization of bone and soft-tissue tumors with in vivo 1H MR spectroscopy: initial results. Radiology. 2004;232(2):599–605.

    Article  PubMed  Google Scholar 

  21. Guo AC, et al. Lymphomas and high-grade astrocytomas: comparison of water diffusibility and histologic characteristics. Radiology. 2002;224(1):177–83.

    Article  PubMed  Google Scholar 

  22. Nakayama T, et al. Usefulness of the calculated apparent diffusion coefficient value in the differential diagnosis of retroperitoneal masses. J Magn Reson Imaging. 2004;20(4):735–42.

    Article  PubMed  Google Scholar 

  23. Toh CH, et al. Primary cerebral lymphoma and glioblastoma multiforme: differences in diffusion characteristics evaluated with diffusion tensor imaging. AJNR Am J Neuroradiol. 2008;29(3):471–5.

    Article  PubMed  Google Scholar 

  24. Fletcher BD, et al. Pediatric musculoskeletal tumors: use of dynamic, contrast-enhanced MR imaging to monitor response to chemotherapy. Radiology. 1992;184(1):243–8.

    CAS  PubMed  Google Scholar 

  25. Fayad LM, et al. Musculoskeletal tumors: how to use anatomic, functional, and metabolic MR techniques. Radiology. 2012;265(2):340–56.

    Article  PubMed  Google Scholar 

  26. Padhani AR, Khan AA. Diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for monitoring anticancer therapy. Target Oncol. 2010;5(1):39–52.

    Article  PubMed  Google Scholar 

  27. Roth Y, et al. High-b-value diffusion-weighted MR imaging for pretreatment prediction and early monitoring of tumor response to therapy in mice. Radiology. 2004;232(3):685–92.

    Article  PubMed  Google Scholar 

  28. Thoeny HC, et al. Diffusion-weighted MR imaging in monitoring the effect of a vascular targeting agent on rhabdomyosarcoma in rats. Radiology. 2005;234(3):756–64.

    Article  PubMed  Google Scholar 

  29. Padhani AR, et al. Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia. 2009;11(2):102–25.

    CAS  PubMed Central  PubMed  Google Scholar 

  30. Kwee TC, et al. Cancer imaging: novel concepts in clinical magnetic resonance imaging. J Intern Med. 2010;268(2):120–32.

    Article  CAS  PubMed  Google Scholar 

  31. Koh DM, et al. Practical aspects of assessing tumors using clinical diffusion-weighted imaging in the body. Magn Reson Med Sci. 2007;6(4):211–24.

    Article  PubMed  Google Scholar 

  32. Moffat BA, et al. Diffusion imaging for evaluation of tumor therapies in preclinical animal models. MAGMA. 2004;17(3–6):249–59.

    Article  CAS  PubMed  Google Scholar 

  33. Dudeck O, et al. Diffusion-weighted magnetic resonance imaging allows monitoring of anticancer treatment effects in patients with soft-tissue sarcomas. J Magn Reson Imaging. 2008;27(5):1109–13.

    Article  PubMed  Google Scholar 

  34. Hayashida Y, et al. Monitoring therapeutic responses of primary bone tumors by diffusion-weighted image: initial results. Eur Radiol. 2006;16(12):2637–43.

    Article  PubMed  Google Scholar 

  35. Uhl M, et al. Osteosarcoma: preliminary results of in vivo assessment of tumor necrosis after chemotherapy with diffusion- and perfusion-weighted magnetic resonance imaging. Invest Radiol. 2006;41(8):618–23.

    Article  CAS  PubMed  Google Scholar 

  36. Baur A, et al. Diffusion-weighted imaging of tumor recurrences and posttherapeutical soft-tissue changes in humans. Eur Radiol. 2001;11(5):828–33.

    Article  CAS  PubMed  Google Scholar 

  37. Bley TA, et al. Diffusion-weighted MR imaging in musculoskeletal radiology: applications in trauma, tumors, and inflammation. Magn Reson Imaging Clin N Am. 2009;17(2):263–75.

    Article  PubMed  Google Scholar 

  38. Roberge D, et al. Radiological and pathological response following pre-operative radiotherapy for soft-tissue sarcoma. Radiother Oncol. 2010;97(3):404–7.

    Article  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Clínica de Diagnóstico por Imagem, Serviço de Radiologia e Diagnóstico por Imagem, da Universidade Federal do Rio de Janeiro – UFRJ, Rio de Janeiro, Brazil

    Flávia Costa MD & Clarissa Canella MD

  2. Clínica de Diagnóstico por Imagem, Rio de Janeiro, Brazil

    Pedro Henrique Martins MD & Silvana Mendonça MD

Authors
  1. Flávia Costa MD
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  2. Clarissa Canella MD
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  3. Pedro Henrique Martins MD
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  4. Silvana Mendonça MD
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Corresponding author

Correspondence to Flávia Costa MD .

Editor information

Editors and Affiliations

  1. Health Time Group, Jaén, Spain

    Antonio Luna

  2. Clinica Girona Hospital Sta. Caterina, Gerona, Spain

    Joan C. Vilanova

  3. CDPI and IRM, Botafongo - Rio de Janeiro/RJ, Brazil

    L. Celso Hygino Da Cruz Jr.

  4. Centro de Diagnóstico Dr. Enrique Rossi, Buenos Aires, Argentina

    Santiago E. Rossi

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© 2014 Springer-Verlag Berlin Heidelberg

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Costa, F., Canella, C., Martins, P.H., Mendonça, S. (2014). Advanced MRI Techniques of Soft Tissue Tumors. In: Luna, A., Vilanova, J., Hygino Da Cruz Jr., L., Rossi, S. (eds) Functional Imaging in Oncology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40582-2_32

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  • DOI: https://doi.org/10.1007/978-3-642-40582-2_32

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40581-5

  • Online ISBN: 978-3-642-40582-2

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