Shear wave elastography combined with gray-scale ultrasound for predicting central lymph node metastasis of papillary thyroid carcinoma

Li, Tingting; Li, Huizhan; Xue, Jiping; Miao, Junwang; Chen, Kang

doi:10.1016/j.suronc.2020.11.004

Cited by 28 publications

(25 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Real-time SWE employs the acoustic pulse generated by the probe to measure the tissue stiffness, which quanti es the elasticity as shear wave velocity or young's modulus [31]. The nding that larger SWV mean and SWV ratio shown to be prone to CLNM is similar to previous literature (p = 0.005, p = 0.004) [21,32]. It may be that the invasive tumor leads to interstitial collagen remodeling, making the nodule stiffer in CLNM group [33].…”

Section: Discussionsupporting

confidence: 82%

“…What is more, some CLNM was too minimal to be found in conventional US. Therefore, researchers made an effort to study the association between US characteristics of PTCs and CLNM, nding that it may be a promising strategy to predict CLNM before surgery to avoid unnecessary pCND [20,21]. Previous studies have shown that the most important contributing factors to CLNM including patient age, male, multifocality, tumor size and location, margin, microcalci cation, ETE and concomitant HT [14,22,23].…”

Section: Discussionmentioning

confidence: 99%

“…Advances in US technology for tumor improved diagnostic e ciency immensely, including contrast-enhanced ultrasound (CEUS), shear wave elastography (SWE) and superb microvascular imaging (SMI). Several studies have shown that the SWE and CEUS characteristics of PTCs are closely related to the extrathyroid extension (ETE) and lymph node metastasis of PTCs, suggesting that multimodal US may have great potential in predicting CLNM [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of decision tree algorithms to predict central lymph node metastasis in well-differentiated papillary thyroid carcinoma based on multimodal ultrasound parameters: a retrospective study

Wan

Zhang

et al. 2022

Preprint

View full text Add to dashboard Cite

Background: Prophylactic central neck dissection (pCND) in well-differentiated primary papillary thyroid carcinoma (PTC) patients have become controversial. Several attempts have been made to predict central compartment lymph node metastasis (CLNM) based on clinical and conventional ultrasonic parameters. This study seeks to develop a decision tree (DT) model for predicting the risk of CLNM in these patients based on clinical and preoperative multimodal ultrasound (US) characteristics.Methods: A total of 148 PTC nodules confirmed by surgical pathology at Beijing Tiantan Hospital were retrospectively analyzed. All nodules underwent multimodal US examinations from January 2020 to September 2021 before surgery. Correlation analysis of CLNM with clinical characteristics, multimodal US parameters of PTC lesions based on grayscale US, color Doppler flow imaging, superb microvascular imaging, contrast-enhanced US and shear wave elastography technology was carried out. Finally, the Chi-squared automatic interaction detector with a ten-fold cross test was used to establish DT models based on multimodal US parameters to predict CLNM. The area under the curve (AUC) was calculated for comparing prediction performance.Results: Univariate analysis indicated that CLNM was positively correlated with Tg level, maximum size, tall than wide, the number of microcalcifications greater than or equal to 5, contact capsule, US reported abnormal cervical lymph nodes, non-centripetal perfusion, delayed clearance, SWV mean and SWV ratio (p<0.05). The multimodal US algorithm based on tall than wide, contact the capsule, US reported abnormal cervical lymph nodes, centripetal enhancement as independent variables showed good discrimination: the sensitivity, specificity, accuracy and AUC were 80.0%, 76.7%, 78.4%, and 0.837 (95% CI: 0.771-0.902). There was a significant difference between multimodal US DT with conventional ultrasound DT (p<0.001). Conclusions: This study implies that the DT model based on preoperative multimodal US characteristics of PTCs has reasonable prediction ability for CLNM, which can be conveniently used for clinical decision-making of individualized treatment in well-differentiated PTC patients.

show abstract

Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of decision tree algorithms to predict central lymph node metastasis in well-differentiated papillary thyroid carcinoma based on multimodal ultrasound parameters: a retrospective study

Wan

Zhang

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Accurate preoperative predicting the cervical LNM of patients with PTC is of great importance for guiding clinical treatment, particularly, for surgeons to determine the extent of the surgical resection and assessing the necessity of CLN dissection (3,13). Neck US examination plays a pivotal role in PTC staging.…”

Section: Discussionmentioning

confidence: 99%

“…Despite having an indolent clinical course, PTC is associated with cervical lymph node metastasis (LNM) (2). Cervical LNM occurs in approximately 30-80% of PTC cases and is one of the most important risk factors for locoregional recurrence (3). The presence of LNM also affects the staging and treatment options for PTC (4).…”

Section: Introductionmentioning

confidence: 99%

Ultrasound-Based Radiomics Analysis for Preoperative Prediction of Central and Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Multi-Institutional Study

Tong

Zhang

et al. 2022

Preprint

View full text Add to dashboard Cite

Background An accurate preoperative assessment of cervical lymph node metastasis (LNM) is important for choosing optimal therapeutic strategy for papillary thyroid carcinoma (PTC) patients. This study aimed to develop and validate two ultrasound (US) nomograms for the individual prediction of central and lateral compartment LNM in patients with PTC. Methods A total of 720 PTC patients from 3 institutions were enrolled in this study. They were categorized into a primary cohort, an internal validation, and two external validation cohorts. Radiomics features were extracted from conventional US images. LASSO regression was used to select optimized features to construct the radiomics signature. Two nomograms integrating independent clinical variables and radiomics signature were established with multivariate logistic regression. The performance of the nomograms was assessed with regard to discrimination, calibration, and clinical usefulness. Results The radiomics scores were significantly higher in patients with central/lateral LNM. A radiomics nomogram indicated good discrimination for central compartment LNM, with an area under the curve (AUC) of 0.875 in the training set, the corresponding value in the validation sets were 0.856, 0.870 and 0.870, respectively. Another nomogram for predicting lateral LNM also demonstrated good performance with a training AUC of 0.938, an internal validation AUC of 0.905, and two external validation AUC of 0.881 and 0.903, respectively. The clinical utility of the nomograms was confirmed by the decision curve analysis. Conclusion The nomograms proposed here have favorable performance for preoperatively predicting cervical LNM, and hold promise for optimizing the personalized treatment, which may improve the survival outcome in PTC patients.

show abstract

Combined Conventional Ultrasound and Contrast‐Enhanced Computed Tomography for Cervical Lymph Node Metastasis Prediction in Papillary Thyroid Carcinoma

Zhao

Yue

Wang

et al. 2022

J of Ultrasound Medicine

View full text Add to dashboard Cite

Objectives-This study aimed to evaluate conventional ultrasound (US) combined with contrast-enhanced computed tomography (CT) of the neck to predict central lymph node metastasis (CLNM) in clinical lymphnegative patients with papillary thyroid carcinoma (PTC), establish a simple preoperative risk-scoring model, and validate its effectiveness in a two-center dataset.Methods-A total of 423 patients with PTC preoperatively evaluated by US and contrast-enhanced CT were included in the modeling group, and 102 patients from two hospitals were enrolled in the validation group. Independent predictive factors were determined using multivariate logistic regression analysis. Diagnostic performance was evaluated using receiver operating characteristic curve analysis.Results-The independent predictive factors for CLNM were age ≤45 years (odds ratio [OR] = 3.950), nodule presence in the non-upper pole (OR = 2.385), nodule size >12.5 mm (OR = 2.130), Thyroid Imaging Reporting and Data System score ≥9 (OR = 2.857), normalized enhancement CT value ≥0.75 (OR = 3.132), central enhancement (OR = 0.222), and capsular invasion (OR = 3.478). The area under the curve (AUC) of the model was 0.790 (95% confidence interval [CI]: 0.747-0.834), and the sensitivity and specificity were 70.4% and 73.9%, respectively. The AUC in the validation group was 0.827 (95% CI: 0.747-0.907), and the sensitivity and specificity were 88.9% and 63.2%, respectively.Conclusions-We found conventional US combined with contrast-enhanced CT of the neck to be useful in predicting CLNM preoperatively and established a simple risk-scoring model that might help surgeons with appropriate surgical plans and prognostic evaluation.

show abstract

Shear wave elastography combined with gray-scale ultrasound for predicting central lymph node metastasis of papillary thyroid carcinoma

Cited by 28 publications

References 23 publications

Application of decision tree algorithms to predict central lymph node metastasis in well-differentiated papillary thyroid carcinoma based on multimodal ultrasound parameters: a retrospective study

Application of decision tree algorithms to predict central lymph node metastasis in well-differentiated papillary thyroid carcinoma based on multimodal ultrasound parameters: a retrospective study

Ultrasound-Based Radiomics Analysis for Preoperative Prediction of Central and Lateral Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma: A Multi-Institutional Study

Combined Conventional Ultrasound and Contrast‐Enhanced Computed Tomography for Cervical Lymph Node Metastasis Prediction in Papillary Thyroid Carcinoma

Contact Info

Product

Resources

About