Association Between Preoperative US, Elastography Features and Prognostic Factors of Papillary Thyroid Cancer With BRAFV600E Mutation

Xu, Junmei; Chen, Yongjun; Dang, Yuanyuan; Chen, Man

doi:10.3389/fendo.2019.00902

Cited by 7 publications

(4 citation statements)

References 38 publications

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“…Alongside traditional diagnostic techniques, such as lung ultrasound, acoustic palpation tissue quantification (VTQ) technology has emerged as a promising tool for evaluating lung tumors. VTQ is based on acoustic radiation force pulse technology, which uses low-pressure pulses to induce local micro-deformation and measure the velocity of shear waves generated by transverse deformation to quantify tissue hardness ( 8 , 15 , 16 ). This study applied VTQ technology to the dynamic and quantitative evaluation of lung tumors and found that the AUC of VTQ for diagnosing lung tumors was 0.67, with the optimal diagnostic cutoff being 3.33 m/s.…”

Section: Discussionmentioning

confidence: 99%

The synergized diagnostic value of VTQ with chemokine CXCL13 in lung tumors

Zhang

Lu²,

Huang³

et al. 2023

Front. Oncol.

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Virtual Touch Tissue Quantification (VTQ) offers several advantages in the diagnosis of various lung diseases. Chemokine expression levels, such as CXCL13, play a vital role in the occurrence and development of tumors and aid in the diagnosis process. The purpose of this study was to evaluate the combined value of VTQ and changes in CXCL13 expression levels for the diagnosis of lung tumors. A total of 60 patients with thoracic nodules and pleural effusion were included, with 30 of them having malignant pleural effusion (based on pathology) and the remaining 30 having benign thoracic nodules and pleural effusion. The relative expression level of CXCL13 was measured in the collected pleural effusions using Enzyme-Linked Immunosorbent Assay (ELISA). The relationship between CXCL13 expression levels and various clinical features was analyzed. A Receiver Operating Characteristic (ROC) curve analysis was conducted on the VTQ results and relative expression levels of CXCL13, and the areas under the curve, critical values, sensitivity, and specificity were calculated. Multivariate analysis incorporating multiple indicators was performed to determine the accuracy of lung tumor diagnosis. The results showed that the expression levels of CXCL13 and VTQ were significantly higher in the lung cancer group compared to the control group (P < 0.05). In the Non-Small Cell Lung Cancer (NSCLC) group, CXCL13 expression levels increased with later TNM staging and poorer tumor differentiation. The expression level of CXCL13 in adenocarcinoma was higher than that in squamous cell carcinoma. The ROC curve analysis revealed that CXCL13 had an area under the curve (AUC) of 0.74 (0.61, 0.86) with an optimal cut-off value of 777.82 pg/ml for diagnosing lung tumors. The ROC curve analysis of VTQ showed an AUC of 0.67 (0.53, 0.82) with a sensitivity of 60.0% and a specificity of 83.3%, and an optimal diagnostic cut-off of 3.33 m/s. The combination of CXCL13 and VTQ for diagnosing thoracic tumors had an AUC of 0.842 (0.74, 0.94), which was significantly higher than either factor alone. The results of the study demonstrate the strong potential of combining VTQ results with chemokine CXCL13 expression levels for lung tumor diagnosis. Additionally, the findings suggest that elevated relative expression of CXCL13 in cases of malignant pleural effusion caused by non-small cell lung cancer may indicate a poor prognosis. This provides promising potential for using CXCL13 as a screening tool and prognostic indicator for patients with advanced lung cancer complicated by malignant pleural effusion.

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Section: Discussionmentioning

confidence: 99%

The synergized diagnostic value of VTQ with chemokine CXCL13 in lung tumors

Zhang

Lu²,

Huang³

et al. 2023

Front. Oncol.

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“…With regard to the conventional US features, Xu et al. ( 29 ) reported that solid component, marked hypoechogenicity or hypoechogenicity, microcalcification, ill-defined margins, and taller than wide shape were all not significant in positive BRAF V600E mutation patients with central LNM or lateral LNM. On the contrary, in the present study, US features including ill-defined margins and microcalcification were associated with LNM in positive BRAF V600E mutation PTCs.…”

Section: Discussionmentioning

confidence: 99%

Risk Factors for Neck Nodal Metastasis in Papillary Thyroid Cancer With BRAF V600E Mutation

Han

Hou²,

Li³

et al. 2022

Front. Endocrinol.

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BackgroundThe BRAF V600E mutation is the most common genetic variant in papillary thyroid cancer (PTC), but the relationship between the BRAF V600E mutation in PTC and cervical lymph node metastasis (LNM) remains controversial.ObjectiveTo estimate risk factors for neck nodal metastasis in PTC with BRAF V600E mutation.PatientsA total of 292 patients diagnosed with BRAF V600E mutation related PTC were admitted.DesignIn this retrospective study, data from 292 patients, including clinical, molecular, and ultrasonic characteristics, were analyzed. Univariate and multivariate logistic regression analyses were applied to identify risk factors for LNM in PTC with the BRAF V600E mutation.ResultsIn the univariate analysis of all PTC patients with the BRAF V600E mutation, the LNM was found to be significantly associated with age (P = 0.010), size (P = 0.000), bilaterality (P = 0.000), multifocality (P = 0.002), LNM in ultrasound (US) (P = 0.000), and capsular invasion (P = 0.010). In ultrasonic image characteristics, margin (P = 0.036), shape (P = 0.046), and microcalcification (P = 0.002) were significantly associated with LNM. In multivariate analysis, LNM in PTCs with BRAF V600E mutation was significantly associated with age ≤ 45 years (OR = 1.869, P = 0.020, 95% CI = 1.106 - 3.158), size ≥ 1cm (OR = 3.131, P = 0.001, 95% CI = 1.578 - 6.212), LNM in US (OR = 6.962, P = 0.000, 95% CI = 2.924 - 16.572), bilaterality (OR = 1.626, P = 0.007, 95% CI = 1.142 - 2.314), ill-defined margins in US (OR = 1.980, P = 0.033, 95% CI = 1.057 - 3.709), and microcalcification in US (OR = 2.786, P = 0.002, 95% CI = 1.464 - 5.303).ConclusionThis study revealed that several significant risk factors for LNM in PTCs with the BRAF V600E mutation included: age ≤ 45 years, size ≥ 1cm, LNM in US, bilaterality, ill-defined margins in US, and microcalcification in US.

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“… 13 Previous studies have extracted morphological features from ultrasound (US) images for preoperative prediction of BRAF V600E mutation. 14 , 15 However, others have argued that ultrasound features are not closely associated with BRAF mutations. 16 , 17 Texture analysis, also known as radiomics, is a technique utilizing high-throughput mining of quantitative image features for precision diagnosis and treatment, providing a powerful tool for modern medicine.…”

Section: Introductionmentioning

confidence: 99%

MRI-Based Texture Analysis for Preoperative Prediction of BRAF V600E Mutation in Papillary Thyroid Carcinoma

Zheng¹,

Hu²,

Wang³

et al. 2023

JMDH

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Purpose BRAF V600E mutation can compensate for the low detection rate by fine-needle aspiration (FNA) and is related to aggressiveness and lymph node metastasis. This study aimed to investigate the relationship between texture analysis features based on magnetic resonance imaging (MRI) and mutations. Methods Retrospective analysis was performed on patients with postoperative pathology confirmed papillary thyroid carcinoma (PTC) from 2017 to 2021. One thousand one hundred and thirty-two texture features were extracted from T2-weighted imaging (T2WI) and contrast-enhanced T1-weighted imaging (CE-T1WI) separately by outlining the tumor volume of interest (VOI). Univariate, minimum redundancy maximum relevance (mRMR), and multivariate analyses were used for feature selection to construct 3 models (T2WI, CE-T1WI, and combined model) to predict mutation. The reproducibility between observers was evaluated by intraclass correlation coefficient (ICC). Receiver operating characteristic (ROC) analysis was used to assess the performance of models. The diagnostic performance of the optimal cut-off value of models were calculated and validated by 10-fold cross-validation. Results A total of 80 PTCs (22 BRAF V600E wild-type and 58 BRAF V600E mutant) were included in our study. Good interobserver agreement was found on texture features we selected (all ICCs >0.75). The area under the ROC curves (AUCs) for the T2WI model, CE-T1WI model, and combined model were 0.83 (95% CI: 0.75–0.91), 0.83 (95% CI: 0.73–0.90), and 0.88 (95% CI: 0.81–0.94), respectively. The accuracy, sensitivity, specificity, PPV, and NPV were 0.776, 0.679, 0.905, 0.905, and 0.679 for the T2WI model at a cut-off value of 0.674; 0.755, 0.750, 0.762, 0.808, and 0.696 for the CE-T1WI model at a cut-off value of 0.573; 0.816, 0.893, 0.714, 0.806, and 0.833 for the combined model at a cut-off value of 0.420. Conclusion MRI-based texture analysis could be a potential method for predicting BRAF V600E mutation in PTC preoperatively.

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Association Between Preoperative US, Elastography Features and Prognostic Factors of Papillary Thyroid Cancer With BRAFV600E Mutation

Cited by 7 publications

References 38 publications

The synergized diagnostic value of VTQ with chemokine CXCL13 in lung tumors

The synergized diagnostic value of VTQ with chemokine CXCL13 in lung tumors

Risk Factors for Neck Nodal Metastasis in Papillary Thyroid Cancer With BRAF V600E Mutation

MRI-Based Texture Analysis for Preoperative Prediction of BRAF V600E Mutation in Papillary Thyroid Carcinoma

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