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- Title
Differentiating metastatic from nonmetastatic lymph nodes in cervical cancer patients using monoexponential, biexponential, and stretched exponential diffusion-weighted MR imaging.
- Authors
Wu, Qingxia; Zheng, Dandan; Shi, Ligang; Liu, Mingbo; Wang, Meiyun; Shi, Dapeng
- Abstract
<bold>Objectives: </bold>To determine the diagnostic value of monoexponential, biexponential and stretched exponential models for identifying lymph nodes (LNs) in patients with cervical cancer.<bold>Materials and Methods: </bold>Fifty 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.<bold>Results: </bold>A 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.<bold>Conclusions: </bold>Compared 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.<bold>Key Points: </bold>• 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.
- Subjects
LYMPH nodes; CERVICAL cancer patients; MAGNETIC resonance imaging; CHEMORADIOTHERAPY; DIFFUSION magnetic resonance imaging
- Publication
European Radiology, 2017, Vol 27, Issue 12, p5272
- ISSN
0938-7994
- Publication type
journal article
- DOI
10.1007/s00330-017-4873-1