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Value of multiparametric magnetic resonance imaging in distinguishing sinonasal lymphoma from sinonasal carcinoma: a case control study.

Authors :
Liu, Chong
Wang, Ye
Zhang, Duo
Zhou, Jin
Wu, Yan
Guo, Ying
Liu, Rui-Chao
Xu, Jin-E
Source :
BMC Medical Imaging; 7/24/2024, Vol. 24 Issue 1, p1-8, 8p
Publication Year :
2024

Abstract

Background: The study aimed to evaluate the diagnostic efficacy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) parameters in distinguishing sinonasal lymphoma from sinonasal carcinoma. Methods: Forty-two participants with histologically confirmed sinonasal lymphomas and fifty-two cases of sinonasal carcinoma underwent imaging with a 3.0T MRI scanner. DCE-MRI and DWI were conducted, and various parameters including type of time-intensity curve(TIC), time to peak, peak enhancement, peak contrast enhancement, washout rate, apparent diffusion coefficient (ADC), and relative ADC were measured. Binary logistic regression and receiver operating characteristic (ROC) curve analysis were employed to assess the diagnostic capability of individual and combined indices for differentiating nasal sinus lymphoma from nasal sinus carcinoma. Results: Sinonasal lymphoma predominantly exhibited type II TIC(n = 20), whereas sinonasal carcinoma predominantly exhibited type III TIC(n = 23). Significant differences were observed in all parameters except washout ratio (p < 0.05), and ADC value emerged as the most reliable diagnostic tool in single parameter. Combined DCE-MRI parameters demonstrated superior diagnostic efficacy compared to individual parameters, with the highest efficiency (area under curve = 0.945) achieved when combining all parameters of DCE-MRI and DWI. Conclusions: Multiparametric evaluation involving contrast-enhanced dynamic MRI and DWI holds considerable diagnostic value in distinguishing sinonasal lymphoma from sinonasal carcinoma. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14712342
Volume :
24
Issue :
1
Database :
Complementary Index
Journal :
BMC Medical Imaging
Publication Type :
Academic Journal
Accession number :
178621512
Full Text :
https://doi.org/10.1186/s12880-024-01366-6