Incorporation of shear wave elastography into a prediction model in the assessment of cervical lymph nodes.

oleh: Wu-Chia Lo, Wan-Lun Hsu, Chi-Te Wang, Po-Wen Cheng, Li-Jen Liao

Format: Article
Diterbitkan: Public Library of Science (PLoS) 2019-01-01

Deskripsi

<h4>Rationale and objectives</h4>To assess the performance of shear wave elastography (SWE) and an extended model in predicting malignant cervical lymph nodes (LNs).<h4>Materials and methods</h4>109 patients who underwent ultrasound (US) and SWE before needle biopsy were enrolled. The optimal cutoff value of elasticity indices (EIs) was determined by receiver operating characteristic (ROC) curves. The c-statistic, net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were used to compare extended model and traditional one.<h4>Results</h4>Malignant LNs had higher EIs than benign nodes (p < 0.001). The optimal cutoff point was 42 kilopascal, corresponding to 83.3% sensitivity, 64.7% specificity, and 68.8% overall accuracy. A multivariable logistic regression analysis confirmed that EI was an independent predictor for malignancy. The new extended prediction model had a positive NRI (0.96) and IDI (0.10) for predicting malignant neck LNs. Nevertheless, the c-statistic was not significantly different between the two models.<h4>Conclusion</h4>The parameter of SWE theoretically improve the model performance. However, its real clinical impact is minor, as the parameters of US-based model is already very robust. SWE can be considered as an adjunctive quantitative tool beyond conventional US examination.