Thyroid nodules are a common endocrine disorder, and their early detection and accurate diagnosis are crucial for the prevention of thyroid cancer. However, the highly heterogeneous morphology and boundaries of thyroid nodules pose significant challenges to their precise identification and classification. Traditional diagnostic approaches rely heavily on physicians' experience, which increases the risk of misdiagnosis and missed diagnoses. With the rapid advancement of computer-aided diagnosis (CAD) technologies, applying deep learning algorithms to the analysis of thyroid nodule ultrasound images has shown great potential. This paper reviews the latest research progress on deep learning-based CAD methods for thyroid nodules, with a focus on their applications in image preprocessing, segmentation and classification. The advantages and limitations of current techniques are analyzed, and potential future directions are discussed. This review aims to highlight the potential of deep learning in thyroid nodule diagnosis and to provide a foundation for selecting feasible pathways for future clinical applications.
Humans ; Thyroid Nodule/diagnostic imaging* ; Deep Learning ; Ultrasonography/methods* ; Diagnosis, Computer-Assisted/methods* ; Algorithms ; Thyroid Neoplasms/diagnostic imaging* ; Image Processing, Computer-Assisted/methods*

Objective To evaluate extrathyroidal extension (ETE) in papillary thyroid microcarcinoma (PTMC) with three-dimensional tomographic ultrasound imaging (3D-TUI). Methods A total of 97 thyroid nodules of 79 patients with PTMC treated in PUMC Hospital from February 2016 to January 2018 were included in this study.Two ultrasound experts performed independent blinded assessment of the relationship between thyroid nodules and thyroid capsule by two-dimensional ultrasound (2D-US) and 3D-TUI.The results of 2D-US and 3D-TUI in evaluating ETE were compared with intraoperative findings and postoperative histological and pathological results. Results Among the 97 nodules,54 (55.7%) nodules had ETE.The diagnostic sensitivity (68.5% vs.37.0%;χ²=10.737,P=0.002),accuracy (74.5% vs.56.7%;χ²=6.686,P=0.015),and area under the receiver operating characteristic curve[0.761 (95%CI=0.677-0.845) vs.0.592 (95%CI=0.504-0.680);Z=3.500,P<0.001] of 3D-TUI were higher than those of 2D-US.However,3D-TUI and 2D-US showed no significant difference in the specificity (84.1% vs.81.4%;χ²=0.081,P=0.776),negative predictive value (67.9% vs.50.7%;χ²=3.645,P=0.066),or positive predictive value (84.1% vs.71.4%;χ²=1.663,P=0.240). Conclusion Compared with 2D-US,3D-TUI demonstrates increased diagnostic efficiency for ETE of PTMC.
Humans ; Thyroid Nodule ; Thyroid Neoplasms/diagnosis* ; Carcinoma, Papillary/pathology* ; Ultrasonography/methods* ; Retrospective Studies

Objective To investigate the influencing factors of Bethesda Ⅲ results in fine-needle aspiration biopsy of thyroid nodules.Methods A total of 300 thyroid nodules with cytological diagnosis results were analyzed retrospectively,including 100 Bethesda Ⅲ nodules and 50 nodules of Bethesda Ⅱ,Ⅳ,Ⅴ,and Ⅵ categories,respectively.Univariate analysis and Logistic regression analysis were performed on the clinical data of patients and the ultrasound signs of thyroid nodules to clarify the factors influencing the diagnosis of Bethesda Ⅲ nodules.Results Univariate analysis showed that Bethesda Ⅲ nodules were mostly adjacent to the capsule(P<0.001),with no blood flow in the color Doppler assessment(P=0.011)and lack of blood supply(P=0.033)and maximum diameter ≤0.9 cm(P=0.038)as revealed by the contrast-enhanced ultrasound.Logistic regression showed that the position close to the capsule(OR=5.110,95%CI=2.153-12.130,P<0.001)and color Doppler without blood flow signal(OR=3.015,95%CI=1.094-8.311,P=0.033)were independent risk factors for the diagnosis of Bethesda Ⅲ nodules.Conclusions The puncture difficulty caused by the dangerous position of thyroid nodules close to the capsule and the aspiration difficulty caused by the absence of blood flow signal in color Doppler are the main factors influencing the diagnosis of Bethesda Ⅲ nodules.Therefore,corresponding avoidance measures should be taken during the aspiration process to reduce the diagnosis results of Bethesda Ⅲ nodules.
Humans ; Thyroid Nodule/diagnostic imaging* ; Thyroid Neoplasms/diagnosis* ; Biopsy, Fine-Needle/methods* ; Retrospective Studies ; Ultrasonography/methods*

Objective To evaluate the performance of micro-flow imaging(MFI)in the differential diagnosis of benign and malignant thyroid nodules. Methods Totally 50 patients with thyroid nodules examined by conventional ultrasound,MFI,and contrast-enhanced ultrasound and confirmed by histological or cytological pathology in the First Medical Center of Chinese PLA General Hospital from May to December in 2020 were enrolled in the study.The clinical data and ultrasound images were retrospectively analyzed.A binary logistic regression model was established to evaluate the performance of the model in predicting benign and malignant thyroid nodules. Results Logistic regression showed that composition and "S-W-C" sign were independent risk factors for predicting malignant thyroid nodule.The sensitivity,specificity,and Youden index of the logistic regression model were 73.33%,80.00%,and 0.53,respectively,and the area under receiver operating characteristic curve was 0.799(95%CI=0.662-0.899). Conclusion MFI facilitates the differential diagnosis of benign and malignant thyroid nodules and has the potential to be applied in the future.
Diagnosis, Differential ; Humans ; ROC Curve ; Retrospective Studies ; Thyroid Nodule/diagnostic imaging* ; Ultrasonography/methods*

Objective To explore the roles of conventional ultrasound and contrast-enhanced ultrasound in distinguishing between benign and malignant thyroid nodules with calcification. Methods A total of 102 solid thyroid nodules with calcification in 76 patients were evaluated by conventional ultrasound alone and conventional ultrasound combined with contrast-enhanced ultrasound.The features obtained through conventional ultrasound alone and that combined with contrast-enhanced ultrasound were scored,and the diagnostic performance of the two methods was analyzed based on the final pathological results. Results The distribution of microcalcification(
Calcinosis/diagnostic imaging* ; Contrast Media ; Diagnosis, Differential ; Humans ; Sensitivity and Specificity ; Thyroid Neoplasms ; Thyroid Nodule/diagnostic imaging* ; Ultrasonography

OBJECTIVE: To determine whether a computer-aided diagnosis (CAD) system for the evaluation of thyroid nodules is non-inferior to radiologists with different levels of experience.MATERIALS AND METHODS: Patients with thyroid nodules with a decisive diagnosis of benign or malignant nodule were consecutively enrolled from November 2017 to September 2018. Three radiologists with different levels of experience (1 month, 4 years, and 7 years) in thyroid ultrasound (US) reviewed the thyroid US with and without using the CAD system. Statistical analyses included non-inferiority testing of the diagnostic accuracy for malignant thyroid nodules between the CAD system and the three radiologists with a non-inferiority margin of 10%, comparison of the diagnostic performance, and the added value of the CAD system to the radiologists.RESULTS: Altogether, 197 patients were included in the study cohort. The diagnostic accuracy of the CAD system (88.48%, 95% confidence interval [CI] = 82.65–92.53) was non-inferior to that of the radiologists with less experience (1 month and 4 year) of thyroid US (83.03%, 95% CI = 76.52–88.02; p < 0.001), whereas it was inferior to that of the experienced radiologist (7 years) (95.76%, 95% CI = 91.37–97.96; p = 0.138). The sensitivity and negative predictive value of the CAD system were significantly higher than those of the less-experienced radiologists were, whereas no significant difference was found with those of the experienced radiologist. A combination of US and the CAD system significantly improved sensitivity and negative predictive value, although the specificity and positive predictive value deteriorated for the less-experienced radiologists.CONCLUSION: The CAD system may offer support for decision-making in the diagnosis of malignant thyroid nodules for operators who have less experience with thyroid US.
Cohort Studies ; Diagnosis ; Humans ; Prospective Studies ; Sensitivity and Specificity ; Thyroid Gland ; Thyroid Neoplasms ; Thyroid Nodule ; Ultrasonography

Digital medicine has the capacity to affect all aspects of medicine, including disease prediction, prevention, diagnosis, treatment, and post-treatment management. In the field of thyroidology, researchers are also investigating potential applications of digital technology for the thyroid disease. Recent studies using artificial intelligence (AI)/machine learning (ML) have reported reasonable performance for the classification of thyroid nodules based on ultrasonographic (US) images. AI/ML-based methods have also shown good diagnostic accuracy for distinguishing between benign and malignant thyroid lesions based on cytopathologic findings. Assistance from AI/ML methods could overcome the limitations of conventional thyroid US and fine-needle aspiration cytology. A web-based database has been developed for thyroid cancer care. In addition to its role as a nationwide registry of thyroid cancer, it is expected to serve as a clinical platform to facilitate better thyroid cancer care and as a research platform providing comprehensive disease-specific big data. Evidence has been found that biosignal monitoring with wearable devices may predict thyroid dysfunction. This real-world thyroid function monitoring could aid in the management and early detection of thyroid dysfunction. In the thyroidology field, research involving the range of digital medicine technologies and their clinical applications is expected to be even more active in the future.
Artificial Intelligence ; Biopsy, Fine-Needle ; Classification ; Diagnosis ; Hyperthyroidism ; Hypothyroidism ; Learning ; Machine Learning ; Thyroid Diseases ; Thyroid Gland ; Thyroid Neoplasms ; Thyroid Nodule

OBJECTIVE: Recent studies demonstrated that core needle biopsy (CNB) can effectively reduce the possibility of inconclusive results and prevent unnecessary diagnostic surgery. However, the effectiveness of CNB in patients with suspicious thyroid nodules has not been fully evaluated. This prospective study aimed to determine the potential of CNB to assess thyroid nodules with suspicious ultrasound (US) features. MATERIALS AND METHODS: Patients undergoing CNB for thyroid nodules with suspicious features on US were enrolled between May and August 2016. Diagnostic performance and the incidence of non-diagnostic results, inconclusive results, conclusive results, malignancy, unnecessary surgery, and complications were analyzed. Subgroup analysis according to nodule size was performed. The risk factors associated with inconclusive results were evaluated using multivariate logistic regression analysis. RESULTS: A total of 93 patients (102 thyroid nodules) were evaluated. All samples obtained from CNB were adequate for diagnosis. Inconclusive results were seen in 12.7% of cases. The diagnostic accuracy, sensitivity, specificity, positive predictive value, and negative predictive value for diagnosis of malignancy were 93.8%, 100%, 100%, 78.9%, and 95%, respectively. None of the patients underwent unnecessary surgery. The diagnostic performance was not significantly different according to nodule size. On multivariate logistic regression analysis, larger nodule size and shorter needle length were independent risk factors associated with inconclusive results. CONCLUSION: Samples obtained by CNB were sufficient for diagnosis in all cases and resulted in high diagnostic values and conclusive results in the evaluation of suspicious thyroid nodules. These findings indicated that CNB is a promising diagnostic tool for suspicious thyroid nodules.
Biopsy, Fine-Needle ; Biopsy, Large-Core Needle* ; Diagnosis ; Humans ; Incidence ; Logistic Models ; Needles ; Prospective Studies ; Risk Factors ; Sensitivity and Specificity ; Thyroid Gland* ; Thyroid Nodule* ; Ultrasonography* ; Unnecessary Procedures

Objective To compare the predictive value of different ratio measurement in predicting the risk of malignant thyroid nodules and to determine the best value of ratio in diagnosing thyroid nodules.Methods The clinical data of 342 thyroid nodules diagnosed by ultrasonography and confirmed by histology in our hospital from January 2018 to August 2018 were analyzed.The ratio of nodules in different sections,including longitudinal plane ratio(A/T)and transverse plane ratio(A/T),was obtained through the maximum head-foot diameter(T),the maximum left-right diameter(T),and the anterior-posterior diameter(A)of transverse section measured by ultrasonography.The correlation of histological diagnosis of benign or malignant nodule with longitudinal ratio and transverse ratio were analyzed.Results The A/T and A/T of malignant nodules were 1.00(0.83,1.17)and 0.81(0.65,1.00),respectively,which were significantly higher than those of benign nodules [0.81(0.67,0.93)(=-6.567,=0.000)and 0.63(0.52,0.75)(=-7.239,=0.000)].The area under the ROC curve of A/T and A/T was 0.734 and 0.712,respectively,showing no significant difference(area difference:0.0210,standard error:0.0213,95% :-0.0207-0.0627,=0.987,=0.3235).The threshold values of A/T and A/T for predicting malignant nodules were 0.784 161 5 and 0.985 714 5,respectively.Conclusions Both A/T and A/T has similar diagnostic value in predicting the risk of malignant nodules.The best cutoff value of the above two ratios are 0.78 and 0.99 respectively.
Diagnosis, Differential ; Humans ; ROC Curve ; Risk Assessment ; Sensitivity and Specificity ; Thyroid Neoplasms ; diagnostic imaging ; Thyroid Nodule ; diagnostic imaging ; Ultrasonography

Objective To compare the values of elasticity imaging(EI)and Virtual Touch tissue imaging and quantification(VTIQ)in diagnosing thyroid nodules and explore the factors influencing the accuracy of these two techniques.Methods Totally 62 patients who were planned to receive surgery for thyroid nodules underwent conventional ultrasound,EI,and VTIQ examinations.EI patterns were scored according to the degree and distribution of strain,the strain of nodule and surrounding normal reference tissue were measured,and then strain index was calculated.Shear wave velocity in nodules were obtained under VTIQ mode.Results The nodules were malignant in 40 patients and benign in 22 patients.When the strain score of 3 was regarded as malignant,the diagnostic sensitivity,specificity,and accuracy of EI in detecting thyroid nodules were 90.00%,31.82%,and 69.32%,respectively.Receiver operating characteristic curve results showed that the area under curves of EI-SI and VTIQ methods for diagnosing thyroid nodules was 77.8%(95%:0.64-0.91)(=0.000)and 74.3%(95%:0.62-0.87)(=0.002),respectively.Thyroid nodules' characteristics location(=0.04)and size(=0.02)were correlated with the diagnostic accuracy of EI.The accuracy of SI and VTIQ were not affected by thyroid nodules' characteristics(>0.05).Conclusions The diagnostic accuracy of EI for thyroid nodules is related to nodules' characteristics.EI combined with semi-quantitative SI and quantitative VTIQ can effectively improve the diagnostic capability for thyroid nodules.
Diagnosis, Differential ; Elasticity ; Elasticity Imaging Techniques ; Humans ; Reproducibility of Results ; Sensitivity and Specificity ; Thyroid Nodule ; diagnostic imaging ; Ultrasonography ; Virtual Reality