Skip to main content

Advertisement

Log in

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiation of soft tissue sarcoma from benign lesions: a systematic review of literature

  • Scientific Article
  • Published:
Skeletal Radiology Aims and scope Submit manuscript

Abstract

Objective

To systematically review the literature assessing the role of Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in the differentiation of soft tissue sarcomas from benign lesions.

Materials and methods

A comprehensive literature search was performed with the following keywords: multiparametric magnetic resonance imaging, DCE-MR perfusion, soft tissue, sarcoma, and neoplasm. Original studies evaluating the role of DCE-MRI for differentiating benign soft-tissue lesions from soft-tissue sarcomas were included.

Results

Eighteen studies with a total of 965 imaging examinations were identified. Ten of twelve studies evaluating qualitative parameters reported improvement in discriminative power. One of the evaluated qualitative parameters was time-intensity curves (TIC), and malignant curves (TIC III, IV) were found in 74% of sarcomas versus 26.5% benign lesions. Six of seven studies that used the semiquantitative approach found it relatively beneficial. Four studies assessed quantitative parameters including Ktrans (contrast transit from the vascular compartment to the interstitial compartment), Kep (contrast return to the vascular compartment), and Ve (the volume fraction of the extracellular extravascular space) in addition to other parameters. All found Ktrans, and 3 studies found Kep to be significantly different between sarcomas and benign lesions. The values for Ve were variable. Additionally, eight studies assessed diffusion-weighted imaging (DWI), and 6 of them found it useful.

Conclusion

Of different DCE-MRI approaches, qualitative parameters showed the best evidence in increasing the diagnostic performance of MRI. Semiquantitative and quantitative approaches seemed to improve the discriminative power of MRI, but which parameters and to what extent is still unclear and needs further investigation.

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
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Garner HW, Kransdorf MJ. Musculoskeletal sarcoma: update on imaging of the post-treatment patient. Can Assoc Radiol J. 2016;67(1):12–20.

    Article  PubMed  Google Scholar 

  2. Lee JH, Yoon YC, Seo SW, Choi Y-L, Kim HS. Soft tissue sarcoma: DWI and DCE-MRI parameters correlate with Ki-67 labeling index. Eur Radiol. 2020;30(2):914–24.

    Article  PubMed  Google Scholar 

  3. Erlemann R, Reiser MF, Peters PE, Vasallo P, Nommensen B, Kusnierz-Glaz CR, et al. Musculoskeletal neoplasms: static and dynamic Gd-DTPA-enhanced MR imaging. Radiology. 1989;171(3):767–73.

    Article  CAS  PubMed  Google Scholar 

  4. Erlemann R, Sciuk J, Wuisman P, Bene D, Edel G, Ritter J, et al. Dynamic MR tomography in diagnosis of inflammatory and tumorous space-occupying growths of the musculoskeletal system. Rofo. 1992;156(4):353–9.

    Article  CAS  PubMed  Google Scholar 

  5. Vallières M, Serban M, Benzyane I, Ahmed Z, Xing S, El Naqa I, et al. Investigating the role of functional imaging in the management of soft-tissue sarcomas of the extremities. Phys Imaging Radiat Oncol. 2018;6:53–60.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Rosenkrantz AB, Sabach A, Babb JS, Matza BW, Taneja SS, Deng F-M. Prostate cancer: comparison of dynamic contrast-enhanced MRI techniques for localization of peripheral zone tumor. Am J Roentgenol. 2013;201(3):W471–W8.

    Article  Google Scholar 

  7. Fusco R, Sansone M, Filice S, Carone G, Amato DM, Sansone C, et al. Pattern recognition approaches for breast cancer DCE-MRI classification: a systematic review. J Med Biol Eng. 2016;36(4):449–59.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Tabriz HM, Obohat M, Vahedifard F, Eftekharjavadi A. Survey of mast cell density in transitional cell carcinoma. Iran J Pathol. 2021;16(2):119.

    Article  Google Scholar 

  9. Tuncbilek N, Karakas HM, Okten OO. Dynamic contrast enhanced MRI in the differential diagnosis of soft tissue tumors. Eur J Radiol. 2005;53(3):500–5.

    Article  PubMed  Google Scholar 

  10. Fayad LM, Mugera C, Soldatos T, Flammang A, Del Grande F. Technical innovation in dynamic contrast-enhanced magnetic resonance imaging of musculoskeletal tumors: an MR angiographic sequence using a sparse k-space sampling strategy. Skelet Radiol. 2013;42(7):993–1000.

    Article  Google Scholar 

  11. Ziayee F, Ullrich T, Blondin D, Irmer H, Arsov C, Antoch G, et al. Impact of qualitative, semi-quantitative, and quantitative analyses of dynamic contrast-enhanced magnet resonance imaging on prostate cancer detection. PLoS One. 2021;16(4):e0249532.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Leplat C, Hossu G, Chen B, De Verbizier J, Beaumont M, Blum A, et al. Contrast-Enhanced 3-T Perfusion MRI with quantitative analysis for the characterization of musculoskeletal tumors: is it worth the trouble? Am J Roentgenol. 2018;211(5):1092–8.

    Article  Google Scholar 

  13. Gimber LH, Chadaz TS, Flake W, Taljanovic MS. Advanced MR imaging of musculoskeletal tumors: an overview. Semin Roentgenol. 2019;54(2):149–61.

    Article  PubMed  Google Scholar 

  14. Sujlana P, Skrok J, Fayad LM. Review of dynamic contrast-enhanced MRI: technical aspects and applications in the musculoskeletal system. J Magn Reson Imaging. 2018;47(4):875–90.

    Article  PubMed  Google Scholar 

  15. Del Grande F, Subhawong T, Weber K, Aro M, Mugera C, Fayad LM. Detection of soft-tissue sarcoma recurrence: added value of functional MR imaging techniques at 3.0 T. Radiology. 2014;271(2):499–511.

    Article  PubMed  Google Scholar 

  16. Van Rijswijk CS, Geirnaerdt MJ, Hogendoorn PC, Taminiau AH, van Coevorden F, Zwinderman AH, et al. Soft-tissue tumors: value of static and dynamic gadopentetate dimeglumine-enhanced MR imaging in prediction of malignancy. Radiology. 2004;233(2):493–502.

    Article  PubMed  Google Scholar 

  17. Vilanova JC, Baleato-Gonzalez S, Romero MJ, Carrascoso-Arranz J, Luna A. Assessment of musculoskeletal malignancies with functional MR imaging. Magn Reson Imaging Clin N Am. 2016;24(1):239–59.

    Article  PubMed  Google Scholar 

  18. Malek M, Gity M, Alidoosti A, Oghabian Z, Rahimifar P, Seyed Ebrahimi SM, et al. A machine learning approach for distinguishing uterine sarcoma from leiomyomas based on perfusion weighted MRI parameters. Eur J Radiol. 2019;110:203–11.

    Article  PubMed  Google Scholar 

  19. Van der Woude HJ, Verstraete KL, Hogendoorn PC, Taminiau AH, Hermans J, Bloem JL. Musculoskeletal tumors: does fast dynamic contrast-enhanced subtraction MR imaging contribute to the characterization? Radiology. 1998;208(3):821–8.

    Article  PubMed  Google Scholar 

  20. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. J Clin Epidemiol. 2009;62(10):e1–e34.

    Article  PubMed  Google Scholar 

  21. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529–36.

    Article  PubMed  Google Scholar 

  22. Goto A, Takeuchi S, Sugimura K, Maruo T. Usefulness of Gd-DTPA contrast-enhanced dynamic MRI and serum determination of LDH and its isozymes in the differential diagnosis of leiomyosarcoma from degenerated leiomyoma of the uterus. Int J Gynecol Cancer. 2002;12(4):354–61.

    Article  CAS  PubMed  Google Scholar 

  23. Tacikowska M. Dynamic magnetic resonance imaging in soft tissue tumors - assessment of the diagnostic value of tumor enhancement rate indices. Med Sci Monit. 2002;8(4):MT53–MT7.

    PubMed  Google Scholar 

  24. Barile A, Regis G, Masi R, Maggiori M, Gallo A, Faletti C, et al. Musculoskeletal tumours: preliminary experience with perfusion MRI. Radiol Med. 2007;112(4):550–61.

    Article  CAS  PubMed  Google Scholar 

  25. Demehri S, Belzberg A, Blakeley J, Fayad LM. Conventional and functional MR imaging of peripheral nerve sheath tumors: initial experience. AJNR Am J Neuroradiol. 2014;35(8):1615–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Yildirim A, Dogan S, Okur A, Imamoglu H, Karabiyik O, Ozturk M. The role of dynamic contrast enhanced magnetic resonance imaging in differentiation of soft tissue masses. Eur J Gen Med. 2016;13(1):37–44.

    CAS  Google Scholar 

  27. Del Grande F, Ahlawat S, Subhangwong T, Fayad LM. Characterization of indeterminate soft tissue masses referred for biopsy: what is the added value of contrast imaging at 3.0 tesla? J Magn Reson Imaging. 2017;45(2):390–400.

    Article  PubMed  Google Scholar 

  28. Rio G, Lima M, Gil R, Horta M, Cunha TM. T2 hyperintense myometrial tumors: can MRI features differentiate leiomyomas from leiomyosarcomas? Abdom Radiol (NY). 2019;44(10):3388–97.

    Article  PubMed  Google Scholar 

  29. Dodin G, Salleron J, Jendoubi S, Abou Arab W, Sirveaux F, Blum A, et al. Added-value of advanced magnetic resonance imaging to conventional morphologic analysis for the differentiation between benign and malignant non-fatty soft-tissue tumors. Eur Radiol. 2020;

  30. Lee SK, Jee WH, Jung CK, Chung YG. Multiparametric quantitative analysis of tumor perfusion and diffusion with 3T MRI: differentiation between benign and malignant soft tissue tumors. Br J Radiol. 2020;93(1115):20191035.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Zhang Y, Yue B, Zhao X, Chen H, Sun L, Zhang X, et al. Benign or malignant characterization of soft-tissue tumors by using semiquantitative and quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging. Can Assoc Radiol J. 2020;71(1):92–9.

    Article  PubMed  Google Scholar 

  32. Zheng T, Du J, Yang L, Dong Y, Wang Z, Liu D, Wu S, Shi Q, Wang X, Liu L. Evaluation of risk classifications for gastrointestinal stromal tumor using multi-parameter magnetic resonance analysis. Abdom Radiol (NY). 2021;46:1506–18.

    Article  PubMed  Google Scholar 

  33. Shannon BA, Ahlawat S, Morris CD, Levin AS, Fayad LM. Do contrast-enhanced and advanced MRI sequences improve diagnostic accuracy for indeterminate lipomatous tumors? Radiol Med. 2021:1–10.

  34. Yu Q, Zhu Y, Huang R, Li Y, Song L, Zhang X, et al. Diagnosis and differential diagnosis of dermatofibrosarcoma protuberans: utility of high-resolution dynamic contrast-enhanced (DCE) MRI. Skin Res Technol. 2022;28(5):651–63.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Mahmood N, Al Rashid A, Ladumor S, Mohamed M, Kambal A, Saloum N, et al. The role of multiparametric MRI in differentiating uterine leiomyosarcoma from benign degenerative leiomyoma and leiomyoma variants: a retrospective analysis. Clin Radiol. 2023;78(1):47–54.

    Article  CAS  PubMed  Google Scholar 

  36. Balçik Ç, Hüseyin AK, İncesu L. Evaluating of parotid gland tumours according to diffusion weighted MRI. Eur J Gen Med. 2014;11(2):77–84.

    Google Scholar 

  37. Coudert H, Mirafzal S, Dissard A, Boyer L, Montoriol P-F. Multiparametric magnetic resonance imaging of parotid tumors: a systematic review. Diagn Interv Imaging. 2021;102(3):121–30.

    Article  CAS  PubMed  Google Scholar 

  38. Noebauer-Huhmann I-M, Amann G, Krssak M, Panotopoulos J, Szomolanyi P, Weber M, et al. Use of diagnostic dynamic contrast-enhanced (DCE)-MRI for targeting of soft tissue tumour biopsies at 3T: preliminary results. Eur Radiol. 2015;25:2041–8.

    Article  PubMed  Google Scholar 

  39. Zhang N, Zhang L, Qiu B, Meng L, Wang X, Hou BL. Correlation of volume transfer coefficient Ktrans with histopathologic grades of gliomas. J Magn Reson Imaging. 2012;36(2):355–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Dijkhoff RA, Beets-Tan RG, Lambregts DM, Beets GL, Maas M. Value of DCE-MRI for staging and response evaluation in rectal cancer: a systematic review. Eur J Radiol. 2017;95:155–68.

    Article  PubMed  Google Scholar 

  41. Roberts C, Issa B, Stone A, Jackson A, Waterton JC, Parker GJ. Comparative study into the robustness of compartmental modeling and model-free analysis in DCE-MRI studies. J Magn Reson Imaging. 2006;23(4):554–63.

    Article  PubMed  Google Scholar 

  42. El Khouli RH, Macura KJ, Kamel IR, Jacobs MA, Bluemke DA. 3-T dynamic contrast-enhanced MRI of the breast: pharmacokinetic parameters versus conventional kinetic curve analysis. Am J Roentgenol. 2011;197(6):1498–505.

    Article  Google Scholar 

Download references

Funding

Majid Chalian, M.D. received the RSNA R&E Scholar grant and Boeing Technology Development grant

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Majid Chalian.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 12 kb)

ESM 2

(DOCX 39 kb)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shomal Zadeh, F., Pooyan, A., Alipour, E. et al. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiation of soft tissue sarcoma from benign lesions: a systematic review of literature. Skeletal Radiol 53, 1343–1357 (2024). https://doi.org/10.1007/s00256-024-04598-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00256-024-04598-3

Keywords

Navigation