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

ABSTRACT:

Rationale and objectives

To assess the performance of shear wave elastography (SWE) and an extended model in predicting malignant cervical lymph nodes (LNs).

Materials and methods

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.

Results

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

SUBMITTER: Lo WC 

PROVIDER: S-EPMC6695226 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature