The Experts below are selected from a list of 32253 Experts worldwide ranked by ideXlab platform

Mingzhao Xing - One of the best experts on this subject based on the ideXlab platform.

  • prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound strain elastography and acoustic radiation force impulse arfi elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Xiao Wan Bo, Mingzhao Xing, Xiao-hong Xu, Shen Qu, Xiao Long Li
    Abstract:

    To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P   1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P < 0.001). ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. • Conventional ultrasound is useful in predicting Cervical Lymph Node metastasis preoperatively. • Virtual touch tissue imaging area ratio is the strongest predicting factor. • Predictive performance is markedly improved by combining ultrasound characteristics with VAR. • Acoustic radiation force impulse elastography may be a promising complementary tool.

  • Prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound, strain elastography, and acoustic radiation force impulse (ARFI) elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Le Hang Guo, Lin Na Liu, Xiao Wan Bo, Chang Liu, Xiao-hong Xu, Shen Qu, Mingzhao Xing
    Abstract:

    OBJECTIVES To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). METHODS A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. RESULTS Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P  1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P 

Jun Mei Xu - One of the best experts on this subject based on the ideXlab platform.

  • prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound strain elastography and acoustic radiation force impulse arfi elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Xiao Wan Bo, Mingzhao Xing, Xiao-hong Xu, Shen Qu, Xiao Long Li
    Abstract:

    To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P   1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P < 0.001). ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. • Conventional ultrasound is useful in predicting Cervical Lymph Node metastasis preoperatively. • Virtual touch tissue imaging area ratio is the strongest predicting factor. • Predictive performance is markedly improved by combining ultrasound characteristics with VAR. • Acoustic radiation force impulse elastography may be a promising complementary tool.

  • Prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound, strain elastography, and acoustic radiation force impulse (ARFI) elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Le Hang Guo, Lin Na Liu, Xiao Wan Bo, Chang Liu, Xiao-hong Xu, Shen Qu, Mingzhao Xing
    Abstract:

    OBJECTIVES To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). METHODS A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. RESULTS Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P  1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P 

Xiao Long Li - One of the best experts on this subject based on the ideXlab platform.

  • prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound strain elastography and acoustic radiation force impulse arfi elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Xiao Wan Bo, Mingzhao Xing, Xiao-hong Xu, Shen Qu, Xiao Long Li
    Abstract:

    To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P   1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P < 0.001). ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. • Conventional ultrasound is useful in predicting Cervical Lymph Node metastasis preoperatively. • Virtual touch tissue imaging area ratio is the strongest predicting factor. • Predictive performance is markedly improved by combining ultrasound characteristics with VAR. • Acoustic radiation force impulse elastography may be a promising complementary tool.

Hui Xiong Xu - One of the best experts on this subject based on the ideXlab platform.

  • prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound strain elastography and acoustic radiation force impulse arfi elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Xiao Wan Bo, Mingzhao Xing, Xiao-hong Xu, Shen Qu, Xiao Long Li
    Abstract:

    To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P   1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P < 0.001). ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. • Conventional ultrasound is useful in predicting Cervical Lymph Node metastasis preoperatively. • Virtual touch tissue imaging area ratio is the strongest predicting factor. • Predictive performance is markedly improved by combining ultrasound characteristics with VAR. • Acoustic radiation force impulse elastography may be a promising complementary tool.

  • Prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound, strain elastography, and acoustic radiation force impulse (ARFI) elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Le Hang Guo, Lin Na Liu, Xiao Wan Bo, Chang Liu, Xiao-hong Xu, Shen Qu, Mingzhao Xing
    Abstract:

    OBJECTIVES To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). METHODS A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. RESULTS Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P  1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P 

Shen Qu - One of the best experts on this subject based on the ideXlab platform.

  • prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound strain elastography and acoustic radiation force impulse arfi elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Xiao Wan Bo, Mingzhao Xing, Xiao-hong Xu, Shen Qu, Xiao Long Li
    Abstract:

    To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P   1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P < 0.001). ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. • Conventional ultrasound is useful in predicting Cervical Lymph Node metastasis preoperatively. • Virtual touch tissue imaging area ratio is the strongest predicting factor. • Predictive performance is markedly improved by combining ultrasound characteristics with VAR. • Acoustic radiation force impulse elastography may be a promising complementary tool.

  • Prediction of Cervical Lymph Node metastasis in patients with papillary thyroid cancer using combined conventional ultrasound, strain elastography, and acoustic radiation force impulse (ARFI) elastography
    European Radiology, 2016
    Co-Authors: Jun Mei Xu, Yi Feng Zhang, Hui Xiong Xu, Le Hang Guo, Lin Na Liu, Xiao Wan Bo, Chang Liu, Xiao-hong Xu, Shen Qu, Mingzhao Xing
    Abstract:

    OBJECTIVES To investigate the value of combined conventional ultrasound (US), strain elastography (SE) and acoustic radiation force impulse (ARFI) elastography for prediction of Cervical Lymph Node metastasis (CLNM) in papillary thyroid cancer (PTC). METHODS A consecutive series of 203 patients with 222 PTCs were preoperatively evaluated by US, SE, and ARFI including virtual touch tissue imaging (VTI) and virtual touch tissue quantification (VTQ). A multivariate analysis was performed to predict CLNM by 22 independent variables. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic performance. RESULTS Multivariate analysis demonstrated that VTI area ratio (VAR) > 1 was the best predictor for CLNM, followed by abnormal Cervical Lymph Node (ACLN), capsule contact, microcalcification, capsule involvement, and multiple nodules (all P  1. As combination of US characteristics with and without VAR, the Az, sensitivity, and specificity were 0.803 and 0.556, 83.0 % and 100.0 %, and 77.6 % and 11.2 %, respectively (P