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Quantitative Dynamic Contrast-enhanced and Diffusion-weighted MRI for Differentiation Between Nasopharyngeal Carcinoma and Lymphoma at the Primary Site

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Date 2016 Feb 6
PMID 26846711
Citations 8
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Abstract

Objectives: To investigate the value of quantitative dynamic contrast-enhanced MRI (QDCE-MRI) and diffusion-weighted MRI (DW-MRI) in differentiating nasopharyngeal carcinoma (NPC) from lymphoma.

Methods: We retrospectively analysed the data from 102 patients (82 with NPC and 20 with lymphoma) who underwent pre-treatment QDCE-MRI and DW-MRI on a 1.5-T MR unit. QDEC-MRI parameters [influx transfer constant (K(trans)), efflux rate constant (Kep), fractional volume of extravascular extracellular space (Ve) and fractional volume of plasma (fPV)] based on pharmacokinetic model and apparent diffusion coefficient (ADC) were compared between the two nasopharyngeal malignancies.

Results: The K(trans), Kep, Ve, fPV and ADC values (mean ± standard deviation) for NPC were 0.366 ± 0.155 min(-1), 1.353 ± 0.468 min(-1), 0.292 ± 0.117, 0.027 ± 0.024 and 0.981 ± 0.184 × 10(-3) mm(2) s(-1), respectively. The K(trans), Kep, Ve, fPV and ADC values (mean ± standard deviation) for lymphoma were 0.212 ± 0.059 min(-1), 1.073 ± 0.238 min(-1), 0.213 ± 0.104, 0.008 ± 0.007 and 0.760 ± 0.182 × 10(-3) mm(2) s(-1), respectively. Optimal cut-off values (area under the curve, sensitivity, specificity) for distinguishing the two tumours were as follows: K(trans) = 0.262 min(-1) (0.866, 80.49%, 85.00%), Kep = 1.401 min(-1) (0.681, 43.90%, 100.00%), Ve = 0.211 (0.784, 76.83%, 85.00%), fPV = 0.012 (0.779, 60.98%, 85.00%), ADC = 0.761 × 10(-3) mm(2) s(-1) (0.781, 93.90%, 55.00%).

Conclusions: QDCE-MRI together with DW-MRI is useful for differentiation between NPC and lymphoma.

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References
1.
Ichikawa Y, Sumi M, Sasaki M, Sumi T, Nakamura T . Efficacy of diffusion-weighted imaging for the differentiation between lymphomas and carcinomas of the nasopharynx and oropharynx: correlations of apparent diffusion coefficients and histologic features. AJNR Am J Neuroradiol. 2011; 33(4):761-6. PMC: 8050466. DOI: 10.3174/ajnr.A2834. View

2.
Kim J, Im G, Yang J, Choi D, Lee W, Lee J . Quantitative dynamic contrast-enhanced MRI for mouse models using automatic detection of the arterial input function. NMR Biomed. 2011; 25(4):674-84. DOI: 10.1002/nbm.1784. View

3.
Sumi M, Nakamura T . Head and neck tumors: assessment of perfusion-related parameters and diffusion coefficients based on the intravoxel incoherent motion model. AJNR Am J Neuroradiol. 2012; 34(2):410-6. PMC: 7965088. DOI: 10.3174/ajnr.A3227. View

4.
Huang B, Wong C, Whitcher B, Kwong D, Lai V, Chan Q . Dynamic contrast-enhanced magnetic resonance imaging for characterising nasopharyngeal carcinoma: comparison of semiquantitative and quantitative parameters and correlation with tumour stage. Eur Radiol. 2013; 23(6):1495-502. DOI: 10.1007/s00330-012-2740-7. View

5.
Kato H, Kanematsu M, Kawaguchi S, Watanabe H, Mizuta K, Aoki M . Evaluation of imaging findings differentiating extranodal non-Hodgkin's lymphoma from squamous cell carcinoma in naso- and oropharynx. Clin Imaging. 2013; 37(4):657-63. DOI: 10.1016/j.clinimag.2012.11.007. View