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Differentiating metastatic from nonmetastatic lymph nodes in cervical cancer patients using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging

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AbstractObjectivesTo determine the diagnostic value of monoexponential, biexponential and stretched exponential models for identifying lymph nodes (LNs) in patients with cervical cancer.Materials and methodsFifty female patients with cervical cancer underwent… Click to show full abstract

AbstractObjectivesTo determine the diagnostic value of monoexponential, biexponential and stretched exponential models for identifying lymph nodes (LNs) in patients with cervical cancer.Materials and methodsFifty female patients with cervical cancer underwent preoperative magnetic resonance imaging. The diffusion parameters of the LNs were calculated by fitting the values to monoexponential, biexponential and stretched exponential models and were compared between the metastatic and non-metastatic LN groups.ResultsA total of 157 LNs with high signal intensity on multi-b-value DWI were detected, 41 of which were pathologically shown to be metastatic. Metastatic LNs presented with higher pure water diffusion (D) values, lower perfusion fraction (f) values, higher diffusion heterogeneity (α) values, higher short diameter (Size-S), long diameter (Size-L) and short long diameter ratio (S/L Ratio) than non-metastatic LNs (P<0.05). The Size-S of LNs exhibited the highest diagnostic value, with an area under the curve of 0.844.ConclusionsCompared with the size parameters, the diffusion parameters derived from multi-b-value diffusion-weighted imaging cannot reliably discriminate metastatic from non-metastatic LNs in daily clinical routine due to limited sensitivity and specificity.Key Points• Biexponential and stretched exponential diffusion models can help to characterise LN status. • Metastatic LNs present with higher D and α values, lower f values. • Diffusion parameters were less reliable in discriminating LNs than size parameters.

Keywords: biexponential stretched; diffusion; stretched exponential; cervical cancer; monoexponential biexponential

Journal Title: European Radiology
Year Published: 2017

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