Skip to main content

Advertisement

Log in

Differentiating between malignant and benign solid solitary pulmonary lesions: are intravoxel incoherent motion and diffusion kurtosis imaging superior to conventional diffusion-weighted imaging?

  • Chest
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

To quantitatively compare the diagnostic values of various diffusion parameters obtained from mono- and biexponential diffusion-weighted imaging (DWI) models and diffusion kurtosis imaging (DKI) in differentiating between benign and malignant solitary pulmonary lesions (SPLs).

Methods

Multiple b-value DWIs and DKIs were performed in 89 patients with SPL by using a 3-T magnetic resonance (MR) imaging unit. The apparent diffusion coefficient (ADC) of various b-value sets, true diffusivity (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), apparent diffusional kurtosis (Kapp), and kurtosis-corrected diffusion coefficient (Dapp) were calculated and compared between the malignant and benign groups using a Mann-Whitney U test. Receiver-operating characteristic analysis was performed for all parameters.

Result

The ADC(0, 150) values of malignant tumors were lower than those of the benign group (p = 0.01). The ADC(0, 300), ADC(0, 500), ADC(0, 600), ADC(0, 800), ADC(0, 1000), ADCtotal, D, and Dapp of malignant tumors were significantly lower than those of benign lesions (all p < 0.001). D*, f, and Kapp showed no statistically significant differences between the two groups. ADCtotal showed the highest area under the curve (AUC = 0.862), followed by ADC(0, 800)(AUC = 0.844), ADC(0, 600)(AUC = 0.843), D(AUC = 0.834), ADC(0, 1000)(AUC = 0.834) and ADC(0, 500)(AUC = 0.824), Dapp(AUC = 0.796), and ADC(0, 300) (AUC = 0.773). However, the difference in diagnostic efficacy among these parameters was not statistically significant (p > 0.05).

Conclusion

Intravoxel incoherent motion (IVIM) and DKI-derived parameters have similar performance compared with conventional ADC in differentiating SPLs.

Key Points

• Mono- and biexponential DWI and DKI are feasible for differentiating SPLs.

• ADC (0, ≥500) has better performance than ADC (0, <500) in assessing SPLs.

• IVIM and DKI have similar performance compared with conventional DWI in differentiating SPLs.

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

Similar content being viewed by others

Abbreviations

ADC:

Apparent diffusion coefficient

AUC:

Area under curve

D:

True diffusivity

D*:

Pseudo-diffusion coefficient

Dapp :

Kurtosis corrected diffusion coefficient

DKI:

Diffusion kurtosis imaging

DWI:

Diffusion-weighted imaging

f:

Perfusion fraction

IVIM:

Intravoxel incoherent motion

Kapp :

Apparent diffusional kurtosis

ROC:

Receiver operating characteristic

ROI:

Region of interest

SPL:

Solitary pulmonary lesions

References

  1. Siegel RL, Miller KD, Jemal A (2017) Cancer statistics, 2017. CA Cancer J Clin 67:7–30

    Article  PubMed  Google Scholar 

  2. Le Bihan D, Iima M (2015) Diffusion magnetic resonance imaging: what water tells us about biological tissues. PLoS Biol 13:e1002203

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Ohno Y, Koyama H, Onishi Y et al (2008) Non-small cell lung cancer: whole-body MR examination for M-stage assessment--utility for whole-body diffusion-weighted imaging compared with integrated FDG PET/CT. Radiology 248:643–654

    Article  PubMed  Google Scholar 

  4. Mori T, Nomori H, Ikeda K et al (2008) Diffusion-weighted magnetic resonance imaging for diagnosing malignant pulmonary nodules/masses: comparison with positron emission tomography. J Thorac Oncol 3:358–364

    Article  PubMed  Google Scholar 

  5. Cakmak V, Ufuk F, Karabulut N (2017) Diffusion-weighted MRI of pulmonary lesions: Comparison of apparent diffusion coefficient and lesion-to-spinal cord signal intensity ratio in lesion characterization. J Magn Reson Imaging 45:845–854

    Article  PubMed  Google Scholar 

  6. Koyama H, Ohno Y, Seki S et al (2015) Value of diffusion-weighted MR imaging using various parameters for assessment and characterization of solitary pulmonary nodules. Eur J Radiol 84:509–515

    Article  PubMed  Google Scholar 

  7. Koşucu P, Tekinbaş C, Erol M et al (2009) Mediastinal lymph nodes: assessment with diffusion-weighted MR imaging. J Magn Reson Imaging 30:292–297

  8. Le Bihan D, Turner R (1992) The capillary network: a link between IVIM and classical perfusion. Magn Reson Med 27:171–178

    Article  PubMed  Google Scholar 

  9. Wan Q, Deng YS, Zhou JX et al (2017) Intravoxel incoherent motion diffusion-weighted MR imaging in assessing and characterizing solitary pulmonary lesions. Sci Rep 7:43257

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Yuan J, Yeung DK, Mok GS et al (2014) Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma. PLoS One 9:e87024

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Marzi S, Stefanetti L, Sperati F, Anelli V (2016) Relationship between diffusion parameters derived from intravoxel incoherent motion MRI and perfusion measured by dynamic contrast-enhanced MRI of soft tissue tumors. NMR Biomed 29:6–14

    Article  PubMed  Google Scholar 

  12. Sumi M, Van Cauteren M, Sumi T, Obara M, Ichikawa Y, Nakamura T (2012) Salivary gland tumors: use of intravoxel incoherent motion MR imaging for assessment of diffusion and perfusion for the differentiation of benign from malignant tumors. Radiology 263:770–777

    Article  PubMed  Google Scholar 

  13. Rosenkrantz AB, Padhani AR, Chenevert TL et al (2015) Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice. J Magn Reson Imaging 42:1190–1202

    Article  PubMed  Google Scholar 

  14. Deng Y, Li X, Lei Y, Liang C, Liu Z (2016) Use of diffusion-weighted magnetic resonance imaging to distinguish between lung cancer and focal inflammatory lesions: a comparison of intravoxel incoherent motion derived parameters and apparent diffusion coefficient. Acta Radiol 57:1310–1317

    Article  PubMed  Google Scholar 

  15. Lin M, Yu X, Chen Y et al (2017) Contribution of mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging in the diagnosis and differentiation of uterine cervical carcinoma. Eur Radiol 27:2400–2410

    Article  PubMed  Google Scholar 

  16. 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 168:497–505

    Article  PubMed  Google Scholar 

  17. Jensen JH, Helpern JA, Ramani A, Lu H, Kaczynski K (2005) Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 53:1432–1440

    Article  PubMed  Google Scholar 

  18. Meier-Schroers M, Homsi R, Schild HH, Thomas D (2018) Lung cancer screening with MRI: characterization of nodules with different non-enhanced MRI sequences. Acta Radiol. https://doi.org/10.1177/0284185118778870:284185118778870

  19. Regier M, Schwarz D, Henes FO et al (2011) Diffusion-weighted MR-imaging for the detection of pulmonary nodules at 1.5 Tesla: intraindividual comparison with multidetector computed tomography. J Med Imaging Radiat Oncol 55:266–274

    Article  PubMed  Google Scholar 

  20. Shen G, Jia Z, Deng H (2016) Apparent diffusion coefficient values of diffusion-weighted imaging for distinguishing focal pulmonary lesions and characterizing the subtype of lung cancer: a meta-analysis. Eur Radiol 26:556–566

    Article  PubMed  Google Scholar 

  21. Cui L, Yin JB, Hu CH, Gong SC, Xu JF, Yang JS (2016) Inter- and intraobserver agreement of ADC measurements of lung cancer in free breathing, breath-hold and respiratory triggered diffusion-weighted MRI. Clin Imaging 40:892–896

    Article  PubMed  Google Scholar 

  22. Uto T, Takehara Y, Nakamura Y et al (2009) Higher sensitivity and specificity for diffusion-weighted imaging of malignant lung lesions without apparent diffusion coefficient quantification. Radiology 252:247–254

    Article  PubMed  Google Scholar 

  23. Yuan M, Zhang YD, Zhu C et al (2016) Comparison of intravoxel incoherent motion diffusion-weighted MR imaging with dynamic contrast-enhanced MRI for differentiating lung cancer from benign solitary pulmonary lesions. J Magn Reson Imaging 43:669–679

    Article  PubMed  Google Scholar 

  24. Das SK, Yang DJ, Wang JL, Zhang C, Yang HF (2017) Non-Gaussian diffusion imaging for malignant and benign pulmonary nodule differentiation: a preliminary study. Acta Radiol 58:19–26

    Article  PubMed  Google Scholar 

  25. Wang S, Peterson DJ, Wang Y et al (2017) Empirical comparison of diffusion kurtosis imaging and diffusion basis spectrum imaging using the same acquisition in healthy young adults. Front Neurol 8:118

    PubMed  PubMed Central  Google Scholar 

  26. Eichner C, Setsompop K, Koopmans PJ et al (2014) Slice accelerated diffusion-weighted imaging at ultra-high field strength. Magn Reson Med 71:1518–1525

    Article  PubMed  Google Scholar 

Download references

Funding

This study has received funding from National Natural Science Foundation of China (81601457).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xin-chun Li.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Xinchun Li.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• prospective

• diagnostic study

• performed at one institution

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wan, Q., Deng, Ys., Lei, Q. et al. Differentiating between malignant and benign solid solitary pulmonary lesions: are intravoxel incoherent motion and diffusion kurtosis imaging superior to conventional diffusion-weighted imaging?. Eur Radiol 29, 1607–1615 (2019). https://doi.org/10.1007/s00330-018-5714-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-018-5714-6

Keywords

Navigation