SpringerLink
Log in

CS-VIBE accelerates cranial nerve MR imaging for the diagnosis of facial neuritis: comparison of the diagnostic performance of post-contrast MPRAGE and CS-VIBE

  • Head and Neck
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

We aimed to compare the diagnostic performance of post-contrast 3D compressed sensing volume-interpolated breath-hold examination (CS-VIBE) and 3D T1 magnetization-prepared rapid-acquisition gradient-echo (MPRAGE) in detecting facial neuritis.

Materials and methods

Between February 2019 and September 2019, 60 patients (30 facial palsy patients and 30 controls) who underwent contrast-enhanced cranial nerve MRI with both conventional MPRAGE and CS-VIBE (scan time: 6 min 8 s vs. 2 min 48 s) were included in this retrospective study. All images were independently reviewed by three radiologists for the presence of facial neuritis. In patients with facial palsy, signal-to-noise ratio (SNR) of the pons, enhancement degree and contrast-to-noise ratio (CNRnerve-CSF) of the facial nerve were measured. The overall image quality, artifacts, and facial nerve discrimination were analyzed. The sensitivity and specificity of both sequences were calculated with the clinical diagnosis as a reference.

Results

CS-VIBE had comparable performance in the detection of facial neuritis to that of MPRAGE (sensitivity and specificity, 97.8% and 99.4% vs. 100.0% and 99.4% in pooled analysis; 97.8% and 98.9% vs. 100.0% and 98.9% in patents with facial palsy, p value > 0.05 for all). CS-VIBE showed significantly lower SNR (p value < 0.001 for all), but significantly higher CNRnerve-CSF (p value < 0.05 for all) than MPRAGE. CS-VIBE also performed better in the overall image quality, artifacts, and facial nerve discrimination than MPRAGE (p value < 0.001 for all).

Conclusion

CS-VIBE achieved comparable diagnostic performance for facial neuritis compared to the conventional MPRAGE, with the scan time being half of that of MPRAGE.

Key Points

• Post-contrast 3D CS-VIBE MRI is a reliable method for the diagnosis of facial neuritis.

• CS-VIBE reduces the scan time of cranial nerve MRI by more than half compared to conventional T1-weighted image.

• CS-VIBE had better performance in contrast-to-noise ratio and favorable image quality compared with conventional T1-weighted image.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Abbreviations

3D:

Three-dimensional

CNR:

Contrast-to-noise ratio

CS:

Compressed sensing

CSF:

Cerebrospinal fluid

CS-VIBE:

Compressed sensing volume-interpolated breath-hold examination

MPRAGE:

Magnetization-prepared rapid-acquisition gradient-echo

SD:

Standard deviation

SNR:

Signal-to-noise ratio

VIBE:

Volume-interpolated breath-hold examination

References

  1. de Almeida JR, Guyatt GH, Sud S et al (2014) Management of Bell palsy: clinical practice guideline. CMAJ 186:917–922

  2. Baugh RF, Basura GJ, Ishii LE et al (2013) Clinical practice guideline: Bell’s palsy. Otolaryngol Head Neck Surg 149:S1–S27

  3. Kress BP, Griesbeck F, Efinger K et al (2002) Bell’s palsy: what is the prognostic value of measurements of signal intensity increases with contrast enhancement on MRI? Neuroradiology 44:428–433

    Article  CAS  Google Scholar 

  4. Burmeister HP, Baltzer PAT, Volk GF et al (2011) Evaluation of the early phase of Bell’s palsy using 3 T MRI. Eur Arch Otorhinolaryngol 268:1493–1500

  5. Engström M, Berg T, Stjernquist-Desatnik A et al (2008) Prednisolone and valaciclovir in Bell’s palsy: a randomised, double-blind, placebo-controlled, multicentre trial. Lancet Neurol 7:993–1000

    Article  Google Scholar 

  6. Lim HK, Lee JH, Hyun D et al (2012) MR diagnosis of facial neuritis: diagnostic performance of contrast-enhanced 3D-FLAIR technique compared with contrast-enhanced 3D-T1-fast-field echo with fat suppression. AJNR Am J Neuroradiol 33:779–783

    Article  CAS  Google Scholar 

  7. Yun SJ, Ryu CW, Jahng GH et al (2015) Usefulness of contrast-enhanced 3-dimensional T1-VISTA in the diagnosis of facial neuritis: comparison with contrast-enhanced T1-TSE. J Neuroradiol 42:93–98

    Article  Google Scholar 

  8. Kress B, Griesbeck F, Stippich C, Bähren W, Sartor K (2004) Bell palsy: quantitative analysis of MR imaging data as a method of predicting outcome. Radiology 230:504–509

  9. Seok JI, Lee D-K, Kim KJ (2008) The usefulness of clinical findings in localising lesions in Bell’s palsy: comparison with MRI. J Neurol Neurosurg Psychiatry 79:418–420

  10. Song MH, Kim J, Jeon JH et al (2008) Clinical significance of quantitative analysis of facial nerve enhancement on MRI in Bell’s palsy. Acta Otolaryngol 128:1259–1265

    Article  Google Scholar 

  11. Kohsyu H, Aoyagi M, Tojima H et al (1994) Facial nerve enhancement in Gd-MRI in patients with Bell’s palsy. Acta Otolaryngol Suppl 511:165–169

    Article  CAS  Google Scholar 

  12. Tien R, Dillon WP, Jackler RK (1990) Contrast-enhanced MR imaging of the facial nerve in 11 patients with Bell’s palsy. AJR Am J Roentgenol 155:573–579

  13. Hwang J-Y, Yoon H-K, Lee JH et al (2016) Cranial nerve disorders in children: MR imaging findings. Radiographics 36:1178–1194

  14. Bieri O, Scheffler K (2013) Fundamentals of balanced steady state free precession MRI. J Magn Reson Imaging 38:2–11

    Article  Google Scholar 

  15. Sheth S, Barton F, Branstetter I (2009) Appearance of normal cranial nerves on steady-state free precession MR images. Radiographics 29:1045–1055

  16. Chung MS, Lee JH, Kim DY et al (2015) The clinical significance of findings obtained on 3D-FLAIR MR imaging in patients with Ramsay-Hunt syndrome. Laryngoscope 125:950–955

    Article  Google Scholar 

  17. Cho SJ, Choi YJ, Chung SR, Lee JH, Baek JH (2019) High-resolution MRI using compressed sensing-sensitivity encoding (CS-SENSE) for patients with suspected neurovascular compression syndrome: comparison with the conventional SENSE parallel acquisition technique. Clin Radiol 74: 817.e9-817.e14

  18. Yuhasz M, Hoch MJ, Hagiwara M et al (2018) Accelerated internal auditory canal screening magnetic resonance imaging protocol with compressed sensing 3-dimensional T2-weighted sequence. Invest Radiol 53:742–747

    Article  Google Scholar 

  19. Wetzel SG, Johnson G, Tan AGS et al (2002) Three-dimensional, T1-weighted gradient-echo imaging of the brain with a volumetric interpolated examination. AJNR Am J Neuroradiol 23:995–1002

  20. Danieli L, Riccitelli GC, Distefano D et al (2019) Brain tumor-enhancement visualization and morphometric assessment: a comparison of MPRAGE. SPACE, and VIBE MRI techniques. AJNR Am J Neuroradiol 40:1140–1148

  21. Vreemann S, Rodriguez-Ruiz A, Nickel D et al (2017) Compressed sensing for breast MRI: resolving the trade-off between spatial and temporal resolution. Invest Radiol 52:574–582

    Article  Google Scholar 

  22. Yoon JH, Yu MH, Chang W et al (2017) Clinical feasibility of free-breathing dynamic T1-weighted imaging with gadoxetic acid–enhanced liver magnetic resonance imaging using a combination of variable density sampling and compressed sensing. Invest Radiol 52:596–604

  23. Borges A, Casselman J (2007) Imaging the cranial nerves. Part I. Methodology, infectious and inflammatory, traumatic and congenital lesions. Eur Radiol 17:2112–2125

  24. Cohen JF, Korevaar DA, Altman DG et al (2016) STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration. BMJ Open 6:e012799

  25. Baugh RF, Basura GJ, Ishii LE et al (2013) Clinical practice guideline: Bell’s palsy. Otolaryngol Head Neck Surg 149:S1–S27

  26. Jäger L, Reiser M (2001) CT and MR imaging of the normal and pathologic conditions of the facial nerve. Eur J Radiol 40:133–146

  27. Radhakrishnan R, Ahmed S, Tilden JC, Morales H (2017) Comparison of normal facial nerve enhancement at 3T MRI using gadobutrol and gadopentetate dimeglumine. Neuroradiol J 30:554–560

  28. Hong HS, Yi BH, Cha JG et al (2010) Enhancement pattern of the normal facial nerve at 3.0 T temporal MRI. Br J Radiol 83:118–121

  29. Suh CH, Jung SC, Lee HB, Cho SJ (2019) High-resolution magnetic resonance imaging using compressed sensing for intracranial and extracranial arteries: comparison with conventional parallel imaging. Korean J Radiol 20:487–497

    Article  Google Scholar 

  30. Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58:1182–1195

  31. Kaltenbach B, Bucher AM, Wichmann JL et al (2017) Dynamic liver magnetic resonance imaging in free-breathing: feasibility of a Cartesian T1-weighted acquisition technique with compressed sensing and additional self-navigation signal for hard-gated and motion-resolved reconstruction. Invest Radiol 52:708–714

    Article  Google Scholar 

  32. Delattre BMA, Boudabbous S, Hansen C, Neroladaki A, Hachulla AL, Vargas MI (2019) Compressed sensing MRI of different organs: ready for clinical daily practice? Eur Radiol 30:308–319

  33. Lin F-H, Kwong KK, Belliveau JW, Wald LL (2004) Parallel imaging reconstruction using automatic regularization. Magn Reson Med 51:559–567

  34. Yang AC, Kretzler M, Sudarski S, Gulani V, Seiberlich N (2016) Sparse reconstruction techniques in magnetic resonance imaging: methods, applications, and challenges to clinical adoption. Invest Radiol 51:349–364

    Article  CAS  Google Scholar 

  35. Jaspan ON, Fleysher R, Lipton ML (2015) Compressed sensing MRI: a review of the clinical literature. Br J Radiol 88:20150487

  36. Toledano-Massiah S, Sayadi A, de Boer R et al (2018) Accuracy of the compressed sensing accelerated 3D-FLAIR sequence for the detection of MS plaques at 3T. AJNR Am J Neuroradiol 39:454–458

    Article  CAS  Google Scholar 

Download references

Acknowledgements

Dominik Nickel at Siemens Healthcare GmbH and InSeong Kim and Jae Kon Sung at Siemens Healthineers Ltd. helped to obtain, install, and optimize scan parameters of CS-VIBE sequence.

Funding

This research was supported by the Chung-Ang University Research Grants in 2020.

Author information

Authors and Affiliations

  1. Department of Radiology, Chung-Ang University Hospital, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea

    Mi Sun Chung, Younghee Yim & Jun Soo Byun

  2. Siemens Healthineers Ltd., Seoul, Republic of Korea

    Jae Kon Sung & InSeong Kim

  3. Siemens Healthcare GmbH, Erlangen, Germany

    Dominik Nickel

  4. Department of Otorhinolaryngology-Head and Neck Surgery, Chung-Ang University College of Medicine, 102 Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea

    Munyoung Chang & Seog-Kyun Mun

Authors
  1. Mi Sun Chung
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Younghee Yim
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jae Kon Sung
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. InSeong Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Dominik Nickel
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Munyoung Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Seog-Kyun Mun
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jun Soo Byun
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jun Soo Byun.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Jun Soo Byun.

Conflict of interest

The authors of this manuscript declare relationships with the following companies: Dominik Nickel at Siemens Healthcare GmbH and InSeong Kim and Jae Kon Sung at Siemens Healthineers Ltd. The authors helped to obtain, install, and optimize scan parameters of CS-VIBE sequence.

Statistics and biometry

No complex statistical methods were necessary for this paper.

Informed consent

Written informed consent was waived by the Institutional Review Board.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

•retrospective

•diagnostic study

•performed at one institution

Additional information

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chung, M.S., Yim, Y., Sung, J.K. et al. CS-VIBE accelerates cranial nerve MR imaging for the diagnosis of facial neuritis: comparison of the diagnostic performance of post-contrast MPRAGE and CS-VIBE. Eur Radiol 32, 223–233 (2022). https://doi.org/10.1007/s00330-021-08102-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-021-08102-6

Keywords

Search

Navigation