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 <0.05). ROC analyses of these characteristics showed the areas under the curve (Az), sensitivity, and specificity were 0.600–0.630, 47.7 %–93.2 %, and 26.9 %–78.4 % for US, respectively; and they were 0.784, 83.0 %, and 73.9 %, respectively, for VAR > 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). Conclusions: ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. Key Points: • 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.
| Original language | English (US) |
|---|---|
| Journal | European Radiology |
| DOIs | |
| State | Accepted/In press - Nov 11 2015 |
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Keywords
- Acoustic radiation force impulse
- Conventional ultrasound
- Thyroid cancer
- Thyroid nodule
- Virtual touch tissue imaging
ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
Cite this
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. / Xu, Jun Mei; Xu, Xiao Hong; Xu, Hui Xiong; Zhang, Yi Feng; Guo, Le Hang; Liu, Lin Na; Liu, Chang; Bo, Xiao Wan; Qu, Shen; Xing, Michael Mingzhao; Li, Xiao Long.
In: European Radiology, 11.11.2015.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - 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
AU - Xu, Jun Mei
AU - Xu, Xiao Hong
AU - Xu, Hui Xiong
AU - Zhang, Yi Feng
AU - Guo, Le Hang
AU - Liu, Lin Na
AU - Liu, Chang
AU - Bo, Xiao Wan
AU - Qu, Shen
AU - Xing, Michael Mingzhao
AU - Li, Xiao Long
PY - 2015/11/11
Y1 - 2015/11/11
N2 - 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 <0.05). ROC analyses of these characteristics showed the areas under the curve (Az), sensitivity, and specificity were 0.600–0.630, 47.7 %–93.2 %, and 26.9 %–78.4 % for US, respectively; and they were 0.784, 83.0 %, and 73.9 %, respectively, for VAR > 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). Conclusions: ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. Key Points: • 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.
AB - 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 <0.05). ROC analyses of these characteristics showed the areas under the curve (Az), sensitivity, and specificity were 0.600–0.630, 47.7 %–93.2 %, and 26.9 %–78.4 % for US, respectively; and they were 0.784, 83.0 %, and 73.9 %, respectively, for VAR > 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). Conclusions: ARFI elastography shows superior performance over conventional US, particularly when combined with US, in predicting CLNM in PTC patients. Key Points: • 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.
KW - Acoustic radiation force impulse
KW - Conventional ultrasound
KW - Thyroid cancer
KW - Thyroid nodule
KW - Virtual touch tissue imaging
UR - http://www.scopus.com/inward/record.url?scp=84946781264&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946781264&partnerID=8YFLogxK
U2 - 10.1007/s00330-015-4088-2
DO - 10.1007/s00330-015-4088-2
M3 - Article
C2 - 26560715
AN - SCOPUS:84946781264
JO - European Radiology
JF - European Radiology
SN - 0938-7994
ER -