Value of multiparametric magnetic resonance imaging in distinguishing sinonasal lymphoma from sinonasal carcinoma: a case control study.
BMC Med Imaging
; 24(1): 181, 2024 Jul 24.
Article
in En
| MEDLINE
| ID: mdl-39048981
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.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Paranasal Sinus Neoplasms
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Diffusion Magnetic Resonance Imaging
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Multiparametric Magnetic Resonance Imaging
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Lymphoma
Limits:
Adult
/
Aged
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Female
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Humans
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Male
/
Middle aged
Language:
En
Journal:
BMC Med Imaging
Journal subject:
DIAGNOSTICO POR IMAGEM
Year:
2024
Document type:
Article
Affiliation country:
Country of publication: