Dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) for differential diagnosis in head and neck cancers
Publication in refereed journal


Times Cited
Altmetrics Information
.

Other information
AbstractPurpose:
To examine the potential of dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)
for differential diagnosis of head and neck cancer.
Methods and materials:
DCE-MRI was performed in 26 patients with untreated squamous cell carcinoma
(SCC), 28 undifferentiated carcinoma (UD) and 8 lymphoma. DCE-MRI was analyzed with the pharmacokinetic
model proposed by Tofts and Kermode to produce the three DCE parameters: ktrans, ve and
vp. Areas under the curve (AUC) at the initial 60 and 90 s (AUC60 and AUC90) were also recorded. Histogram
analysis was conducted to obtain the mean, 25%, 50%, 75% and 95% percentile values and the
Kruskal–Wallis test was used to compare the DCE parameters between the three groups of cancer.
Results:
ktrans, AUC60 and AUC90 showed significant differences (p < 0.01) between UD/SCC and
UD/lymphoma, but not between SCC/lymphoma. The mean AUC90 demonstrated the highest accuracy of
78% (sensitivity of 68% and specificity of 88%) for distinguishing UD and SCC, and the 75% percentile AUC90
provided the highest accuracy of 97% (sensitivity of 100% and specificity of 88.5%) for distinguishing UD
and lymphoma.
Conclusions:
There are significant differences in the DCE parameters which show the potential for distinguishing
UD from SCC or lymphoma.
Acceptance Date20/01/2011
All Author(s) ListFrancis Kar-ho Lee, Ann Dorothy King, Brigitte Buig-Yue Ma, David Ka-wai Yeung
Journal nameEuropean Journal of Radiology
Year2012
Month4
Volume Number81
Issue Number4
PublisherELSEVIER IRELAND LTD
Pages784 - 788
ISSN0720-048X
eISSN1872-7727
LanguagesEnglish-United Kingdom
KeywordsDynamic contrast enhancement magnetic resonance imaging (DCE-MRI), Squamous cell carcinoma, Undifferentiated carcinoma and lymphoma, Diagnosis
Web of Science Subject CategoriesRadiology, Nuclear Medicine & Medical Imaging; RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Last updated on 2021-02-03 at 23:54