Ultrasonic features of papillary thyroid microcarcinoma coexisting with a thyroid abnormality

Li, Bo; Zhang, Yaqiong; Yin, Ping; Zhou, Jian

doi:10.3892/ol.2016.4999

Cited by 9 publications

(8 citation statements)

References 19 publications

(19 reference statements)

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“…Statistically significant differences were observed in some of the ultrasonographic appearance variables (unclear border, hypoechogenicity, irregular morphology, microcalcification, attenuation, cystic change, and elasticity modulus value) between the control and case groups, indicating that these variables can be considered specific manifestations of thyroid malignant nodules, consistent with previously reported findings [ 33 ]. PTMC nests are not susceptible to liquefied necrosis, and cystic change is rarely seen, while they have a tendency to undergo longitudinal division.…”

Section: Discussionsupporting

confidence: 90%

Correlation between Ultrasonographic Appearance of Papillary Thyroid Microcarcinoma and BRAF V600E Mutation

Liang

Huang

2022

Journal of Oncology

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The study was conducted to investigate the correlation between the ultrasonographic appearance of a thyroid nodule and the BRAF V600E mutation. Patients with thyroid nodules ( n = 186 ), for which BRAF V600E testing and cytopathology analysis were performed, and who underwent subsequent surgery for nodule resection were enrolled in this study. For each patient, color Doppler ultrasonography was performed to observe the variables of the nodules. The nodules were then characterized using the thyroid imaging reporting and data system classification TI-RADS. Furthermore, the ultrasonographic appearance of the control group, encompassing patients with nodular thyroid goiters, and the case group, encompassing patients with papillary thyroid microcarcinoma (PTMC), was statically analyzed. Similarly, a statistical analysis of the ultrasonographic appearance of the BRAF V600E-positive and BRAF V600E-negative subgroups was also performed. The accuracy was significantly different for the corresponding values when color Doppler ultrasonography, BRAF V600E testing, or cytopathology alone was used for diagnosis. There were significant differences in the ultrasonographic appearance variables between the control and case groups. Comparing with the BRAF V600E-negative subgroup of the case group, the ultrasonographic appearances of the BRAF V600E-positive subgroup showed less circumscribed and more irregularly shaped nodules, with significantly different aspect ratios of >1. The combination of BRAF V600E testing and color Doppler ultrasonography or cytopathology improved the accuracy of the PTMC diagnose. We found that the ultrasonographic appearance of thyroid nodules was related to PTMC.

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Section: Discussionsupporting

confidence: 90%

Correlation between Ultrasonographic Appearance of Papillary Thyroid Microcarcinoma and BRAF V600E Mutation

Liang

Huang

2022

Journal of Oncology

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“…As the thyroid knee blood vessel only has an arterial blood supply, which is different from the liver with dual arterial and portal blood supply, the effect on the effect of angiography is different. In addition, the frequency of the superficial ultrasound probe does not match the resonance frequency of the ultrasound contrast, which makes the performance of the ultrasound contrast in the thyroid scan deviation [22,23]. erefore, a deep learning-based ultrasound image lesion diagnosis model C-LSTM was proposed in this work, and the the C-LSTM model designed in this work can perform the task of diagnosing benign and malignant thyroid with contrast-enhanced ultrasound images.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic Value of Contrast-Enhanced Ultrasound Image Features under Deep Learning in Benign and Malignant Thyroid Lesions

Long

et al. 2022

Scientific Programming

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This study aimed to analyze the application of the diagnostic model based on deep learning technology in the evaluation of thyroid contrast-enhanced ultrasound images and to provide a reference for the evaluation of benign and malignant thyroid. A diagnosis model of ultrasound images based on long- and short-term memory neural network (LSTM), C-LSTM, was proposed. The diagnostic method was compared with that based on support vector machine (SVM) and manual feature (MF), and it was applied to the diagnosis of thyroid contrast-enhanced ultrasound images. The results showed that the sensitivity, specificity, and accuracy of the C-LSTM model were greatly higher than those of SVM and MF, and the differences were considerable ( P < 0.05 ). The number of parameters and the calculation amount of the C-LSTM model were greatly lower than those of SVM- and MF-based diagnosis methods ( P < 0.05 ). The sensitivity, specificity, and accuracy of the C-LSTM model were greatly greater than those of the C-LSTM-0 model, while the amounts of parameters and calculations were greatly lesser than those of the C-LSTM-0 model ( P < 0.05 ). The numbers of benign tumors with contrast-enhanced ultrasound modes of no enhancement, no enhancement at early stage, and low enhancement were more than those of malignant tumors, while the numbers of high-enhancement tumors were greatly less than those of malignant tumors ( P < 0.05 ). The diagnostic area under the curve (AUC) of rise time (RT) ratio, time to peak (TTP) ratio, and mean transit time (mTT) ratio for malignant masses were large, which were 0.856, 0.794, and 0.761, respectively. RT ratio, TTP ratio, and mTT ratio were of high diagnostic sensitivity and specificity for malignant masses, while RT, TTP, and mTT were of low diagnostic sensitivity and specificity. In summary, the contrast-enhanced ultrasound images based on the deep learning C-LSTM model can effectively improve the diagnostic effect of benign and malignant thyroid masses. The image feature parameters RT ratio, TTP ratio, and mTT ratio were of good efficiency in diagnosing benign and malignant thyroid masses.

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“…Ultrasound is one of the main diagnostic methods for thyroid cancer. The following ultrasonic features of thyroid nodules were significantly associated with PTMC: an irregular shape; an aspect ratio of 1; an unclear boundary; blurred margins; internal heterogeneous hypoechogenicity; and microcalcification ( 24 ). An ultrasound can diagnose thyroid cancer by fine-needle aspiration biopsy (FNAB).…”

Section: Discussionmentioning

confidence: 99%

Bibliometric insights in advances of papillary thyroid microcarcinoma: Research situation, hot points, and global trends

et al. 2022

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BackgroundThyroid cancer has been on the rise over the last decade. Papillary thyroid microcarcinoma (PTMC) accounts for more than half of all thyroid cancers. Micropapillary carcinoma of the thyroid is a common but non-fatal form of thyroid cancer. To better comprehend, nearly two decades of scientific outputs were analyzed and summarized using bibliometric methods in this study.MethodsApproximately 1098 publications from 2000 and 2021 were included in WoS database through systematic retrieval. The general information was characterized, and developmental skeleton and research frontiers were explored. CiteSpace, VOSviewer, and R, Tableau were used to evaluate and visualize the results.ResultsA total of 1098 publications from across 75 countries were identified. The annual number of publications showed an increasing trend in the past 21 years. China, Korea, the United States of America (USA), Italy, and Japan made remarkable contributions to the research of PTMC. Thyroid was the most productive journal. Miyauchi Akira published maximum articles. The utmost productive institution was the University of Ulsan. Risk stratification, active surveillance, and thermal ablation garnered the attention of researchers leading to novel approaches in the clinical diagnosis and treatment of micropapillary thyroid carcinoma.ConclusionsThis bibliometric study provides a comprehensive analysis of global productivity, collaboration, and research hotspots within PTMC field, which will aid in directing research toward PTMC in the coming years.

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Ultrasonic features of papillary thyroid microcarcinoma coexisting with a thyroid abnormality

Cited by 9 publications

References 19 publications

Correlation between Ultrasonographic Appearance of Papillary Thyroid Microcarcinoma and BRAF V600E Mutation

Correlation between Ultrasonographic Appearance of Papillary Thyroid Microcarcinoma and BRAF V600E Mutation

Diagnostic Value of Contrast-Enhanced Ultrasound Image Features under Deep Learning in Benign and Malignant Thyroid Lesions

Bibliometric insights in advances of papillary thyroid microcarcinoma: Research situation, hot points, and global trends

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