Publication: The role of diffusion-weighted magnetic resonance imaging (DWI) in head and neck masses
Issued Date
2018-07-01
Resource Type
ISSN
01252208
Other identifier(s)
2-s2.0-85052240946
Rights
Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of the Medical Association of Thailand. Vol.101, No.7 (2018), 925-932
Suggested Citation
Wiboon Suriyajukryuththana, Theerapol Panyaping, Sopita Navarat, Adun Kampaengtip, Pawin Numthavaj The role of diffusion-weighted magnetic resonance imaging (DWI) in head and neck masses. Journal of the Medical Association of Thailand. Vol.101, No.7 (2018), 925-932. Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/46530
Research Projects
Organizational Units
Authors
Journal Issue
Thesis
Title
The role of diffusion-weighted magnetic resonance imaging (DWI) in head and neck masses
Other Contributor(s)
Abstract
© 2018, Medical Association of Thailand. All rights reserved. Objective: To differentiate between benign from malignant head and neck masses using diffusion-weighted imaging (DWI) and measured the cutoff point of apparent diffusion coefficient (ADC) value. Materials and Methods: DWI and measured ADC value were performed in 24 patients with head and neck masses at Ramathibodi Hospital from May 2013 to September 2015. The 37 lesions in 24 patients were divided into benign and malignant head and neck masses. Results: The 30 lesions were malignant and 7 lesions were benign head and neck masses. By visual inspection, DWI can differentiate benign from malignant head and neck masses by 93.3% of sensitivity, 85.5% of specificity, 91.8% of accuracy, 96.6% of PPV and 75% of NPV. Mean ADC values in benign and malignant head and neck masses were 1.126 x 10 -3 mm 2 /s and 0.973 x 10 -3 mm 2 /s, respectively, which was no statistical significant difference (p-value of 0.445). The cutoff point of mean ADC value was 1.200x10 -3 mm 2 /s for differentiation of benign and malignant head and neck masses. Conclusion: DWI can differentiate benign from malignant head and neck masses qualitatively. It should be applied to MR protocol in the head and neck masses to enhance diagnostic accuracy.