Application of Ultrasonography in the Diagnosis and Management of Papillary Thyroid Microcarcinoma

Huang, Kun; Liu, Ji‐Bin

doi:10.37015/audt.2020.200001

Advanced Ultrasound in Diagnosis and Therapy

2020

DOI: 10.37015/audt.2020.200001

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Application of Ultrasonography in the Diagnosis and Management of Papillary Thyroid Microcarcinoma

Kun Huang¹,

Ji‐Bin Liu²

Abstract: Thyroid carcinoma is the most common malignant tumor of the endocrine system. Nearly 90% of thyroid carcinomas are papillary type, of which many are thyroid papillary microcarcinoma (PTMC) with a maximum diameter≤1 cm. Highresolution ultrasound imaging plays an important role in evaluating PTMC and guiding biopsy for pathology as well as appropriate treatment. This review paper discusses the ultrasonography features of PTMC and explores the clinical value of ultrasonography with gene testing in the diagnosis a… Show more

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Cited by 5 publications

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Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features

Yi,

He,

Yang

et al. 2024

J of Clinical Ultrasound

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ObjectiveTo predict post‐thyroidectomy complications in papillary thyroid microcarcinoma (PTMC) patients using a deep learning model based on preoperative ultrasonographic features. This study addresses the global rise in PTMC incidence and the challenges in treatment decision‐making with high‐resolution ultrasonography.MethodThis study enrolled 1638 patients with clinically staged cN0 PTMC who received surgical treatment from 1997 to 2019 at Beijing Friendship Hospital. Deep learning model was developed using fully connected neural network. Feature selection included 1000 iterations of Bootstrap sampling and Recursive Feature Elimination (RFE) to identify the top 10 features. Data preprocessing involved normalization and imputation for missing values. SMOTE addressed class imbalance. The model was trained and tested on random data split, with performance metrics including Accuracy (ACC), Area Under the Curve (AUC), Sensitivity (SEN), and Specificity (SPE), visualized through a ROC curve and confusion matrix.ResultsThe fully connected deep neural network model demonstrated high accuracy (ACC 0.81), Area Under the Curve (AUC 0.74), sensitivity (SEN 0.65), and specificity (SPE 0.83) and visualized by ROC curve and confusion matrix. These results highlight the model's reliability and potential as an effective tool in predicting postoperative complications and assisting in clinical decision‐making for PTMC patients.ConclusionThis study highlights the potential of deep learning in enhancing medical predictions and personalized healthcare. Despite promising results, limitations include a single‐center data source and unconsidered factors like lifestyle and genetics. Future research should expand data sources, include more influencing factors, and refine algorithms to improve accuracy and applicability in thyroid cancer treatment.

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Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features

Yi,

He,

Yang

et al. 2024

J of Clinical Ultrasound

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Analysis and evaluation of the efficacy of ultrasound-guided microwave ablation for papillary thyroid microcarcinoma

Wang

Niu

et al. 2021

International Journal of Hyperthermia

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Objective: The choice of the most appropriate therapeutic approach for a diagnosed papillary thyroid microcarcinoma (PTMC) remains controversial. The present study aimed to evaluate the efficacy of microwave ablation (MWA) for unifocal PTMC with a diameter of 0.6 cm. Methods: A total of 63 consecutive patients with PTMC treated with MWA were studied retrospectively. MWA was performed using the hydrodissection technique and multidimensional fixed-needle principle. We analyzed the absorption of the MWA area and evaluated the prognosis over a follow-up period of 24 months. In addition, 83 patients with PTMC who underwent surgery were selected. The operating room characteristics and procedural complications of the two groups were compared. Results: In the MWA group, the volume of nodules (p < 0.05) decreased from 0.04 ± 0.03 cm 3 to 0.0001 ± 0.0004 cm 3 at the 24-month follow-up after MWA, and the volume reduction rate (p < 0.05) was 99.43 ± 1.58%. The incidence of temporary reactive hyperplastic lymphadenectasis was higher and that of other complications was lower in the MWA group than in the surgery group. One percent of the patients in the surgery group had recurrence or metastasis, but none were detected in the MWA group. The loss of thyroid tissue volume (p < 0.001), operating room time (p < 0.001), and the mean length of hospital stay (p < 0.001) were significantly lower in the MWA group than in the surgery group. Conclusion: Ultrasound-guided MWA is an effective treatment strategy for unifocal PTMC with a diameter of 0.6 cm.

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Evaluating the safety and efficacy of microwave ablation in treatment of cervical metastatic lymph nodes of papillary thyroid carcinoma compared to repeat surgery

Tang

Sun

Niu

et al. 2022

International Journal of Hyperthermia

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Application of Ultrasonography in the Diagnosis and Management of Papillary Thyroid Microcarcinoma

Cited by 5 publications

References 55 publications

Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features

Artificial neural network prediction of postoperative complications in papillary thyroid microcarcinoma based on preoperative ultrasonographic features

Analysis and evaluation of the efficacy of ultrasound-guided microwave ablation for papillary thyroid microcarcinoma

Evaluating the safety and efficacy of microwave ablation in treatment of cervical metastatic lymph nodes of papillary thyroid carcinoma compared to repeat surgery

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