Purpose: To investigate the difference in amide proton transfer (APT)-weighted signals between benign and atypical meningiomas and determine the value of APT imaging for differentiating the two. Methods: Fifty-seven patients with pathologically diagnosed meningiomas (benign, 44; atypical, 13), who underwent preoperative MRI with APT imaging between December 2014 and August 2016 were included. We compared normalised magnetisation transfer ratio asymmetry (nMTRasym) values between benign and atypical meningiomas on APT-weighted images. Conventional MRI features were qualitatively assessed. Both imaging features were evaluated by multivariable logistic regression analysis. The discriminative value of MRI with and without nMTRasym was evaluated. Results: The nMTRasym of atypical meningiomas was significantly greater than that of benign meningiomas (2.46% vs. 1.67%; P < 0.001). In conventional MR images, benign and atypical meningiomas exhibited significant differences in maximum tumour diameter, non-skull base location, and heterogeneous enhancement. On multivariable logistic regression analysis, high nMTRasym was an independent predictor of atypical meningiomas (adjusted OR, 11.227; P = 0.014). The diagnostic performance of MRI improved with nMTRasym for predicting atypical meningiomas. Conclusion: Atypical meningiomas exhibited significantly higher APT-weighted signal intensities than benign meningiomas. The discriminative value of conventional MRI improved significantly when combined with APT imaging for diagnosis of atypical meningioma. Key Points: • APT imaging is useful for differentiating between atypical and benign meningiomas. • Atypical meningiomas exhibited high APT-weighted signal intensity than benign meningiomas. • The diagnostic performance of MRI improved with nMTRasymfor predicting atypical meningiomas.
|Number of pages||9|
|Publication status||Published - 2018 Jan 1|
Bibliographical noteFunding Information:
The authors thank Ha-Kyu Jeong (Korea Basic Science Institute, Chungcheongbuk-do, Korea) for his valuable suggestions and help with protocol optimisation. 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. This study has received funding by the Ministry of Science, ICT & Future Planning (2014R1A1A1002716), and faculty research grants of the Yonsei University College of Medicine (6-2015-0079), and National Institutes of Health (P41 EB015909, R01 CA166171, and R01 EB009731).
Funding This study has received funding by the Ministry of Science, ICT & Future Planning (2014R1A1A1002716), and faculty research grants of the Yonsei University College of Medicine (6-2015-0079), and National Institutes of Health (P41 EB015909, R01 CA166171, and R01 EB009731).
© 2017, European Society of Radiology.
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging