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Characterization of parotid gland tumors: added value of permeability MR imaging to DWI and DCE-MRI

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Abstract

Objectives

To determine added value of permeability MRI in parotid tumor characterization to T2-weighted imaging (T2WI), semi-quantitative analysis of time-intensity curve (TIC), and intra-voxel incoherent motion diffusion-weighted imaging (IVIM-DWI).

Methods

This retrospective study was approved by the institutional review board, and the informed consent was waived. Sixty-one parotid tumors in 61 patients were examined using T2WI, IVIM-DWI, and permeability MRI. TIC patterns were categorized as persistent, washout, or plateau. Signal intensity ratio of lesion-to-muscle on T2WI, apparent diffusion coefficients (ADCs), D and f values from IVIM-DWI, and Ktrans, kep, Ve, and Vp values from permeability MRI were measured. Multiple comparisons were applied to determine whether any differences among 4 histopathologic types (pleomorphic adenomas, Warthin’s tumors, other benign tumors, and malignant tumors) existed. Diagnostic accuracy was compared before and after modification diagnosis referring to permeability MRI. In a validation study, 60 parotid tumors in 60 patients were examined.

Results

ADC and D values of malignant tumors were significantly lower than those of benign tumors other than Warthin’s tumors, but higher than those of Warthin’s tumors. kep and Vp values of Warthin’s tumors were significantly higher than those of malignant tumors. Multivariate analyses showed that TIC pattern, D, and kep values were suitable parameters. McNemar’s test showed a significant increase of sensitivity (11/12, 92%) and specificity (46/49, 94%) with adding kep. The validation study yielded high sensitivity (14/16, 88%) and specificity (41/44, 93%).

Conclusion

Permeability MRI offers added value to IVIM-MRI and semi-quantitative TIC analysis of DCE-MRI in characterization of parotid tumors

Key Points

• Permeability MR imaging offers added value in the characterization of parotid gland tumors in combination with semi-quantitative TIC analysis and IVIM analyses with D parameter.

• The combination of TIC pattern, D, and k ep might facilitate accurate characterization of parotid gland tumor, thereby avoiding unnecessary surgery for benign tumors or delayed treatment for malignant tumors.

• A combination of permeability and diffusion MR imaging can be used to guide the selection of an appropriate biopsy site.

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Abbreviations

ADC:

Apparent diffusion coefficient

AIF:

Arterial input function

ASL:

Arterial spin labeling

D :

True diffusion coefficient

DWI:

Diffusion-weighted imaging

FFE:

Fast field echo

FNA:

Fine-needle aspiration

IVIM:

Intra-voxel incoherent motion

k ep :

Rate constant from extracellular extravascular space to plasma

K trans :

Rate constant from plasma to extracellular extravascular space

MRI:

Magnetic resonance imaging

ROI:

Region of interest

SI:

Signal intensity

T2WI:

T2-weighted imaging

TIC:

Time-intensity curve

V e :

Extracellular extravascular volume fraction

V p :

Plasma fraction

WR:

Washout ratio

References

  1. Guzzo M, Locati LD, Prott FJ, Gatta G, McGurk M, Licitra L (2010) Major and minor salivary gland tumors. Crit Rev Oncol Hematol 74:134–148

    Article  PubMed Central  Google Scholar 

  2. Spiro RH (1986) Salivary neoplasms: overview of a 35-year experience with 2,807 patients. Head Neck Surg 8:177–184

    Article  CAS  PubMed Central  Google Scholar 

  3. Larian B (2016) Parotidectomy for benign parotid tumors. Otolaryngol Clin North Am 49:395–413

    Article  Google Scholar 

  4. Dell'Aversana Orabona G, Bonavolontà P, Iaconetta G, Forte R, Califano L (2013) Surgical management of benign tumors of the parotid gland: extracapsular dissection versus superficial parotidectomy-our experience in 232 cases. J Oral Maxillofac Surg 71:410–413

    Article  Google Scholar 

  5. Lim YC, Lee SY, Kim K et al (2005) Conservative parotidectomy for the treatment of parotid cancers. Oral Oncol 41:1021–1027

    Article  Google Scholar 

  6. Zhang YF, Li H, Wang XM, Cai YF (2019) Sonoelastography for differential diagnosis between malignant and benign parotid lesions: a meta-analysis. Eur Radiol 29:725–735

    Article  PubMed Central  Google Scholar 

  7. Zengel P, Notter F, Clevert DA (2018) Does acoustic radiation force elastography improve the diagnostic capability of ultrasound in the preoperative characterization of masses of the parotid gland? Dentomaxillofac Radiol 47:20180068

    Article  PubMed Central  Google Scholar 

  8. Christensen RK, Bjørndal K, Godballe C, Krogdahl A (2010) Value of fine-needle aspiration biopsy of salivary gland lesions. Head Neck 32:104–108

    Google Scholar 

  9. Howlett DC, Menezes LJ, Lewis K, Moody AB, Violaris N, Williams MD (2007) Sonographically guided core biopsy of a parotid mass. AJR Am J Roentgenol 188:223–227

    Article  Google Scholar 

  10. Liu CC, Jethwa AR, Khariwala SS, Johnson J, Shin JJ (2016) Sensitivity, specificity, and posttest probability of parotid fine-needle aspiration: a systematic review and meta-analysis. Otolaryngol Head Neck Surg 154:9–23

    Article  Google Scholar 

  11. Ishibashi M, Fujii S, Kawamoto K et al (2010) Capsule of parotid gland tumor: evaluation by 3.0 T magnetic resonance imaging using surface coils. Acta Radiol 51:1103–1110

    Article  PubMed Central  Google Scholar 

  12. Okahara M, Kiyosue H, Hori Y, Matsumoto A, Mori H, Yokoyama S (2003) Parotid tumors: MR imaging with pathological correlation. Eur Radiol 13:25–33

    Article  Google Scholar 

  13. Yabuuchi H, Fukuya T, Tajima T, Hachitanda Y, Tomita K, Koga M (2003) Salivary gland tumors: diagnostic value of gadolinium-enhanced dynamic MR imaging with histopathologic correlation. Radiology 226:345–354

    Article  PubMed Central  Google Scholar 

  14. Yabuuchi H, Matsuo Y, Kamitani T et al (2008) Parotid gland tumors: can addition of diffusion-weighted MR imaging to dynamic contrast-enhanced MR imaging improve diagnostic accuracy in characterization? Radiology 249:909–916

    Article  Google Scholar 

  15. 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  Google Scholar 

  16. Wu Q, Zhu LN, Jiang JS, Bu SS, Xu XQ, Wu FY (2020) Characterization of parotid gland tumors using T2 mapping imaging: initial findings. Acta Radiol:629–635

  17. Leiva-Salinas C, Provenzale JM, Kudo K, Sasaki M, Wintermark M (2012) The alphabet soup of perfusion CT and MR imaging: terminology revisited and clarified in five questions. Neuroradiology 54:907–918

    Article  Google Scholar 

  18. Calamante F (2013) Arterial input function in perfusion MRI: a comprehensive review. Prog Nucl Magn Reson Spectrosc 74:1–32

    Article  CAS  Google Scholar 

  19. Lee FK, King AD, Ma BB, Yeung DK (2012) Dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) for differential diagnosis in head and neck cancers. Eur J Radiol 81:784–788

    Article  Google Scholar 

  20. Cha S, Yang L, Johnson G et al (2006) Comparison of microvascular permeability measurements, K(trans), determined with conventional steady-state T1-weighted and first-pass T2*-weighted MR imaging methods in gliomas and meningiomas. AJNR Am J Neuroradiol 27:409–417

    CAS  Google Scholar 

  21. Falk A, Fahlström M, Rostrup E et al (2014) Discrimination between glioma grades II and III in suspected low-grade gliomas using dynamic contrast-enhanced and dynamic susceptibility contrast perfusion MR imaging: a histogram analysis approach. Neuroradiology 56:1031–1038

    Article  Google Scholar 

  22. Li X, Arlinghaus LR, Ayers GD et al (2014) DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings. Magn Reson Med 71:1592–1602

    Article  Google Scholar 

  23. Kato H, Kanematsu M, Watanabe H et al (2015) Perfusion imaging of parotid gland tumours: usefulness of arterial spin labeling for differentiating Warthin’s tumours. Eur Radiol 25:3247–3254

    Article  Google Scholar 

  24. Razek AAKA (2019) Multi-parametric MR imaging using pseudo-continuous arterial-spin labeling and diffusion-weighted MR imaging in differentiating subtypes of parotid tumors. Magn Reson Imaging 63:55–59

    Article  Google Scholar 

  25. Xu Z, Zheng S, Pan A, Cheng X, Gao M (2019) A multiparametric analysis based on DCE-MRI to improve the accuracy of parotid tumor discrimination. Eur J Nucl Med Mol Imaging 46:2228–2234

    Article  CAS  Google Scholar 

  26. Tofts PS, Brix G, Buckley DL et al (1999) Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 10:223–232

    Article  CAS  Google Scholar 

  27. Bland JM, Altman DG (1986) Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1:307–310

    Article  CAS  Google Scholar 

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Correspondence to Hidetake Yabuuchi.

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The scientific guarantor of this publication is Hidetake Yabuuchi.

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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.

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Informed consent was waived.

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Institutional review board approval was obtained.

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• retrospective

• diagnostic or prognostic study

• performed at one institution

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Yabuuchi, H., Kamitani, T., Sagiyama, K. et al. Characterization of parotid gland tumors: added value of permeability MR imaging to DWI and DCE-MRI. Eur Radiol 30, 6402–6412 (2020). https://doi.org/10.1007/s00330-020-07004-3

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