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Clinical utility of dynamic-enhanced MRI in salivary gland tumors: retrospective study and literature review

  • Head and Neck
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European Archives of Oto-Rhino-Laryngology Aims and scope Submit manuscript

Abstract

Purpose

To improve the diagnoses of the salivary gland tumors, a dynamic-enhanced MRI (dMRI) was investigated.

Methods

We conducted a retrospective chart review of 93 cases of salivary gland tumors. The histological diagnoses were obtained from all patients using a surgical specimen and/or an open biopsy specimen. The dMRI as well as fine-needle aspiration cytology (FNAC) and intraoperative frozen section (IFS) were analyzed. This study focused on the time-intensity curve (TIC) after injection, peak time (Tpeak), washout ratio (WR) as well as the gradient of enhancement and washout profile.

Results

The histological diagnoses included pleomorphic adenoma (PMA) in 53 cases, the Warthin tumors (WT) in 14 cases and malignant tumors (MT) in 26 cases. Incorrect diagnosis rate of FNAC and IFS were 5.2 and 8.3%, respectively. The TIC revealed differences among the three types of tumors. Tpeak as well as WR also revealed significant differences (p < 0.001). Tpeak were lower in order of WT, MT, PMA, respectively. WR of TICs at 30, 45 and 105 s after Tpeak were higher in order of WT, MT, PMA, respectively (p < 0.001). The gradient of increment and washout in the TIC curve was also an important parameter to distinguish the three types of tumors. In MT, the rapid enhancement pattern was found in high or intermediate histological grade tumors, whereas the slow enhancement pattern was exhibited in low grade tumors.

Conclusions

Our findings indicate that using Tpeak and WR, it is possible to distinguish between WT, PMA and MT. Additionally, a rapid enhancement pattern may be a potential marker for these tumors.

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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 74:134–138

    Article  PubMed  Google Scholar 

  2. Lin CC, Tsai MH, Huang CC, Hua CH, Tseng HC, Huang ST (2008) Parotid tumors: a 10-year experience. Am J Otolaryngol 29:94–100

    Article  PubMed  Google Scholar 

  3. Brandwein-Gensier M, Bell D, Inagaki H et al (2017) Tumours of salivary glands. In: El-Naggar AK, Chan JK, Grandis JR, Takata T, Slootweg PJ (eds) WHO classification of head and neck tumours, 4th edn. IARC, Lyon, pp 160–202

    Google Scholar 

  4. Reddy VM, Thangarajah T, Castellanos-Arango F, Panarese A (2008) Conservative management of Warthin tumour. J Otolaryngol Head Neck Surg 37:744–749

    PubMed  Google Scholar 

  5. Teymoortash A, Werner JA (2005) Tissue that has lost its track: Warthin’s tumour. Virchows Arch 446:585–588

    Article  PubMed  CAS  Google Scholar 

  6. Veder LL, Kerrebijn JD, Smedts FM, den Bakker MA (2010) Diagnostic accuracy of fine-needle aspiration cytology in Warthin tumors. Head Neck 32:1635–1640

    Article  PubMed  Google Scholar 

  7. Gudmundsson JK, Ajan A, Abtahi J (2016) The accuracy of fine-needle aspiration cytology for diagnosis of parotid gland masses: a clinicopathological study of 114 patients. J Appl Oral Sci 24:561–567

    Article  PubMed  PubMed Central  Google Scholar 

  8. Ogawa T, Suzuki T, Sakamoto M et al (2012) Correct diagnosis of Warthin tumor in the parotid gland with dynamic MRI. Tohoku J Exp Med 227:53–57

    Article  PubMed  Google Scholar 

  9. Yabuuchi H, Fukuya T, Tajima T, Hachitanda Y, Tomita K, Koga M (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  PubMed  Google Scholar 

  10. Yuan Y, Tang W, Tao X (2016) Parotid gland lesions: separate and combined diagnostic value of conventional MRI, diffusion-weighted imaging and dynamic contrast-enhanced MRI. Br J Radiol 89(1060):20150912

    Article  PubMed  PubMed Central  Google Scholar 

  11. Stefanovic X, Al Tabaa Y, Gascou G et al (2017) Magnetic resonance imaging of parotid gland tumors: dynamic contrast-enhanced sequence evaluation. J Comput Assist Tomogr 41:541–546

    Article  PubMed  Google Scholar 

  12. Mikaszewski B, Markiet K, Smugała A, Stodulski D, Szurowska E, Stankiewicz C (2017) Diffusion- and perfusion-weighted magnetic resonance imaging—an alternative to fine needle biopsy or only an adjunct test in preoperative differential diagnostics of malignant and benign parotid tumors? J Oral Maxillofac Surg 75:2248–2253

    Article  PubMed  Google Scholar 

  13. Eida S, Ohki M, Sumi M, Yamada T, Nakamura T (2008) MR factor analysis: improved technology for the assessment of 2D dynamic structures of benign and malignant salivary gland tumors. J Magn Reson Imaging 27:1256–1262

    Article  PubMed  Google Scholar 

  14. Kanda Y (2013) Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transpl 48:452–458

    Article  CAS  Google Scholar 

  15. Wang J, Takashima S, Takayama F et al (2001) Head and neck lesions: characterization with diffusion-weighted echoplanar MR imaging. Radiology 220:621–630

    Article  PubMed  CAS  Google Scholar 

  16. 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  Google Scholar 

  17. Eida S, Sumi M, Sakihama N, Takahashi H, Nakamura T (2007) Apparent diffusion coefficient mapping of salivary gland tumors: prediction of the benignancy and malignancy. Am J Neuroradiol 28:116–121

    PubMed  CAS  Google Scholar 

  18. Eida S, Sumi M, Nakamura T (2010) Multiparametric magnetic resonance imaging for the differentiation between benign and malignant salivary gland tumors. J Magn Reson Imaging 31:673–679

    Article  PubMed  Google Scholar 

  19. Assili S, Fathi KA, Aghaghazvini L, Saligheh RHR, Pirayesh IJ (2015) Dynamic contrast magnetic resonance imaging (DCE-MRI) and diffusion weighted MR imaging (DWI) for differentiation between benign and malignant salivary gland tumors. J Biomed Phys Eng 5:157–168

    PubMed  PubMed Central  CAS  Google Scholar 

  20. Hisatomi M, Asaumi J, Yanagi Y et al (2007) Diagnostic value of dynamic contrast-enhanced MRI in the salivary gland tumors. Oral Oncol 43:940–947

    Article  PubMed  Google Scholar 

  21. Aghaghazvini L, Salahshour F, Yazdani N et al (2015) Dynamic contrast-enhanced MRI for differentiation of major salivary glands neoplasms, a 3-T MRI study. Dentomaxillofac Radiol 44:20140166

    Article  PubMed  CAS  Google Scholar 

  22. Lam PD, Kuribayashi A, Imaizumi A et al (2015) Differentiating benign and malignant salivary gland tumours: diagnostic criteria and the accuracy of dynamic contrast-enhanced MRI with high temporal resolution. Br J Radiol 88(1049):20140685

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Tao X, Yang G, Wang P et al (2017) The value of combining conventional, diffusion-weighted and dynamic contrast-enhanced MR imaging for the diagnosis of parotid gland tumours. Dentomaxillofac Radiol 46:20160434

    Article  PubMed  PubMed Central  Google Scholar 

  24. Thoeny HC (2007) Imaging of salivary gland tumours. Cancer Imaging 7:52–62

    Article  PubMed  PubMed Central  Google Scholar 

  25. Christe A, Waldherr C, Hallett R, Zbaeren P, Thoeny H (2011) MR imaging of parotid tumors: typical lesion characteristics in MR imaging improve discrimination between benign and malignant disease. Am J Neuroradiol 32:1202–1207

    Article  PubMed  CAS  Google Scholar 

  26. Okahara M, Kiyosue H, Hori Y, Matsumoto A, Mori H, Yokoyama S (2003) Parotid tumors: MR imaging with pathological correlation. Eur Radiol 13(Suppl 4):L25–L33

    Article  PubMed  Google Scholar 

  27. Hisatomi M, Asaumi J, Konouchi H, Yanagi Y, Matsuzaki H, Kishi K (2002) Assessment of dynamic MRI of Warthin’s tumors arising as multiple lesions in the parotid glands. Oral Oncol 38:369–372

    Article  PubMed  Google Scholar 

  28. Hisatomi M, Asaumi J, Yanagi Y et al (2003) Assessment of pleomorphic adenomas using MRI and dynamic contrast enhanced MRI. Oral Oncol 39:574–579

    Article  PubMed  Google Scholar 

  29. Patella F, Franceschelli G, Petrillo M et al (2018) A multiparametric analysis combining DCE-MRI- and IVIM -derived parameters to improve differentiation of parotid tumors: a pilot study. Future Oncol. https://doi.org/10.2217/fon-2017-0655

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We are grateful to Miles Kuperus for editorial work in the preparation of this manuscript.

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Authors and Affiliations

  1. Department of Otolaryngology-Head and Neck Surgery, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan

    Takenori Ogawa, Ryo Ishii, Kengo Kato, Ayako Nakanome, Akira Ohkoshi, Eiichi Ishida & Yukio Katori

  2. Department of Oral Diagnosis, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan

    Ikuho Kojima & Maya Sakamoto

  3. Department of Diagnostic Radiology, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8574, Japan

    Takaki Murata

  4. Department of Otorhinolaryngology, Tohoku Medical and Pharmaceutical University, 4-4-1 Komatsushima, Aobaku, Sendai, Miyagi, 981-8558, Japan

    Takahiro Suzuki

  5. Department of Otolaryngology, Head and Neck Surgery, Yamagata University School of Medicine, Yamagata, 990-9585, Japan

    Seiji Kakehata

  6. Department of Head and Neck Surgery, Iwate Medical University, Morioka, 090-8505, Japan

    Kiyoto Shiga

Authors
  1. Takenori Ogawa
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  2. Ikuho Kojima
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  4. Maya Sakamoto
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  6. Takahiro Suzuki
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  7. Kengo Kato
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  8. Ayako Nakanome
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  10. Eiichi Ishida
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  13. Yukio Katori
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Corresponding author

Correspondence to Takenori Ogawa.

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Conflict of interest

We declare no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study. The Institutional Review Board has approved this study [Approved no. 2016-1-754 (Tohoku University Graduate School of Medicine)].

Electronic supplementary material

Below is the link to the electronic supplementary material.

405_2018_4965_MOESM1_ESM.pptx

Supplementary material 1 Supplementary fig. 1: The box and whisker plot of TICs. a: 15 sec, b: 45 sec, c: 75 sec, d:105 sec. Maximum number, 25% percentile, median, 75% percentile and minimum number were shown in box and whisker plot. *: p&#x003C;0.01, * *: p&#x003C;0.05. Supplementary fig. 2: WR of TICs. a: 30 sec, b: 45 sec, c: 105 sec after Tpeak. *: p&#x003C;0.001 (PPTX 119 KB)

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Ogawa, T., Kojima, I., Ishii, R. et al. Clinical utility of dynamic-enhanced MRI in salivary gland tumors: retrospective study and literature review. Eur Arch Otorhinolaryngol 275, 1613–1621 (2018). https://doi.org/10.1007/s00405-018-4965-9

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  • DOI: https://doi.org/10.1007/s00405-018-4965-9

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