ObjectiveTo explore the value of ultrasound-guided core needle biopsy (CNB) in diagnosis of thyroid nodules. MethodsThe clinical data of 347 patients with thyroid nodules who underwent ultrasoundguided CNB were retrospectively analyzed, and the results of CNB pathology were compared with postoperative wax pathology results. ResultsAll patients completed CNB successfully and satisfaction rate for tissue samples was 100%. After CNB, local hematoma occurred in two cases and relieved by conservative therapy. The CNB pathology results of 347 cases of patients were as follows: 117 cases were malignancy, including papillary thyroid cancer in 115 cases, undifferentiated adenocarcinoma in 1 case, and squamous cell carcinoma in 1 case; 230 cases were benign, including thyroiditis in 53 cases, and nodular goiter in 141 cases, adenoma in 16 cases, and nodular goitre coexisting thyroiditis in 20 cases. In 132 cases of patients underwent surgery including 113 cases of malignancy and 19 cases of benign disease, the CNB pathology results in 127 cases were consistent with postoperative wax pathology results and false negative occurred in 5 cases. The diameter of thyroid nodules were not more than 0.5 cm in 4 cases, 0.5-1.0 cm in 59 cases, 1-2 cm in 46 cases, and more than 2 cm in 23 cases, and the accuracy rate of CNB pathology results was 75.0%（3/4）, 98.3%（58/59）, 97.8%（45/46）, and 91.3%（21/23）, respectively, which was the highest in 0.5-2.0 cm. The accuracy, sensibility, specificity, positive predictive value, negative predictive value, failure rate, and misdiagnosis rate of ultrasound-guided CNB for differential diagnosis of thyroid malignant nodules from benign nodules were 96.21% (127/132), 95.76% (113/118), 100% (14/14), 1 (113/113), 0.74 (14/19), 4.24%(5/118), and 0 (0/14), respectively. ConclusionUltrasound-guided CNB has important value on differential diagnosis of thyroid nodules, and important guiding significance on treatment of thyroid diseases.
ObjectiveTo investigate the clinical value of real-time elastosonography in diagnosis of thyroid nodules. MethodsThe clinical date of 168 patients with thyroid nodules, admitted to our hospital from June 2009 to December, were retrospectively analyzed with pathological findings as the reference standard． The findings on elastography were classified into five grades: grade 0 to Ⅳ. The nodules with grade less than Ⅱ were diagnosed as benign, otherwise more than Ⅲ were diagnosed as malignancy. ResultsThere were 208 nodules in 168 patients: nodular goiter was in 125 cases, thyroid adenoma in 36 cases, thyroid malignant tumor in 41 cases including 39 cases for thyroid papillary carcinoma, 1 case for thyroid medullary carcinoma, 1 case for thyroid non-Hodgkin lymphoma. Other nodules were in 6 cases, including diffuse toxic goiter in 1 case, local lymphocytic thyroiditis in 3 cases, and subacute granulomatous thyroiditis in 2 cases. There were 148 thyroid nodules in grade 0-Ⅱ and 60 nodules in grade Ⅲ-Ⅳ. According to the pathological findings, 97.3%(144/148) thyroid nodules of grade 0-Ⅱ were benign, however, 38.3% (23/60) of grade Ⅲ-Ⅳ were benign. Furthermore, 2.7% (4/148) thyroid nodules of grade 0-Ⅱ were malignancy, while 61.7% (37/60) of grade Ⅲ-Ⅳ were malignancy. The sensitivity， specificity, and accuracy of the real-time elastosonography in diagnosis of thyroid nodules was 90.2%(37/41), 86.2%(144/167), and 87.0%(181/208), respectively. ConclusionReal-time elastosonography can reflect the relative hardness of thyroid nodules and provide useful information for diagnosis, which is helpful in differentiating benign and malignant thyroid nodules.
Objective
To evaluate the diagnostic performance of thyroid imaging reporting and data system (TI-RADS)classification and elastography in differentiating benign and malignant thyroid nodules according to size.
Methods
A total of 222 thyroid nodules (209 cases) with solid or predominantly solid internal contentdiagnosed at pathological findings were enrolled in this study, all the 209 cases underwent surgery in our hospital from Jan.2014 to Jun.2014. The diagnostic performance of TI-RADS classification and elastography in differentiating benign and malignant thyroid nodules according to size nodules were evaluated (for≤1 cm and > 1 cm respectively).
Results
By using TI-RADS category and elastography, 178 thyroid nodules were diagnosed as malignant nodules, and 44 thyroid nodules were diagnosed as benign nodules. The high predictive factors for malignant thyroid nodules of > 1 cm were irregular shape(OR=6.376), microcalcification(OR=21.525), and capsule invasion(OR=3.852), P < 0.05. The factors for thyroid nodules of≤1 cm were anteroposterior to transverse diameter ratio≥1(OR=3.406), capsule invasion (OR=3.922), and high elastography score(OR=1.606), that suggested the possibility of malignant (P < 0.05). For nodules of > 1 cm, the sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and Youden index of TI-RADS combining with elastography were 98.3%(59/60), 68.6%(24/35), 87.4%(83/95), 84.3%(59/70), 96.0% (24/25), and 66.9% respectively; for nodules of≤1 cm, the sensitivity, specificity, accuracy, positive predictive value, negative predictive value, and Youden index were 98.5%(67/68), 30.5%(18/59), 66.9%(85/127), 62.0%(67/108), 94.7%(18/19), and 29.0% respectively.
Conclusion
TI-RADS category combined with elastography for diagnosis of thyroid nodules in different size has just a bit differently diagnostic indicators, but that play a high diagnostic performance on the thyroid nodules with maximum diameter > 1 cm.
ObjectiveTo evaluate the clinical value of ultrasonic elastosonography in the diagnosis of thyroid nodules.
MethodsThe elastosonography images of 119 thyroid nodules in 71 patients treated between February 2010 and February 2013 were analyzed and the hardness of the nodule was classified into five grades according to the results of elastosonography. It was defined that the nodules with grade 0-Ⅱ hardness were benign while those with grade Ⅲ-Ⅳ were malignant. The results of elastosonography were compared with surgery and pathology.
ResultsIn these patients, the number of benign and malignant thyroid nodules were 102 and 17, respectively according to pathology. The sensitivity, specificity and accuracy of elastosonography in the diagnosis of thyroid nodules were respectively 100.0%, 73.5% and 77.3%.
ConclusionUltrasonic elastosonography is helpful in the diagnosis between benign and malignant thyroid nodules; the combined elastosonography and conventional ultrasound can improve diagnostic accuracy.
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.
Objective
To explore the value of virtual touch tissue quantification(VTQ) of acoustic radiation force impulse (ARFI) in the differential diagnosis between benign and malignant thyroid nodules.
Methods
The ultrasound (US), elastography imaging(EI), and VTQ of ARFI were performed to determine the characteristics and features of 63 thyroid nodules. The pathological diagnosis was the gold standard. According to the receiver operating characteristic curve (ROC) of US, EI, and VTQ, the critical points and diagnostic values of US, EI, and VTQ in diag-nosis of malignant thyroid nodules were achieved.
Results
Of the 63 nodules, 45 were benign and 18 were malignant. The area under curves of US, EI, and shear wave velocity(SWV) were 0.837(95% CI:0.712-0.962), 0.863(95% CI:0.751-0.974), and 0.900 (95% CI:0.810-0.990) respectively, and all the 3 kinds of technique had diagnostic value(P=0.001), but there were no significant difference among the 3 kinds of technique on the area under curve(P > 0.05). According to the receiver operating characteristic(ROC) curve, the critical point of US in distinguishing benign nodules with malignant nodules was 3 conventional ultrasonography, which displayed a sensitivity of 83.3%, a specificity of 86.7%, and a accuracy of 85.7%. The critical point of EI grades in distinguishing benign nodules with malignant nodules was gradeⅣ, which displayed a sensitivity of 94.1%, a specificity of 82.6%, and a accuracy of 87.3%. The critical value of SWV in distinguishing benign nodules with malignant nodules was 3.39 m/s, which displayed a sensiti-vity of 88.9%, a specificity of 91.1%, and a accuracy of 90.5%.
Conclusion
US, EI, and VTQ techniques all have diagnostic values in the differential diagnosis between benign and malignant thyroid nodules, and we should make combination with all of the 3 kinds of technique when performing differential diagnosis.
To address the high computational complexity of the Transformer in the segmentation of ultrasound thyroid nodules and the loss of image details or omission of key spatial information caused by traditional image sampling techniques when dealing with high-resolution, complex texture or uneven density two-dimensional ultrasound images, this paper proposes a thyroid nodule segmentation method that integrates the receiving weighted key-value (RWKV) architecture and spherical geometry feature (SGF) sampling technology. This method effectively captures the details of adjacent regions through two-dimensional offset prediction and pixel-level sampling position adjustment, achieving precise segmentation. Additionally, this study introduces a patch attention module (PAM) to optimize the decoder feature map using a regional cross-attention mechanism, enabling it to focus more precisely on the high-resolution features of the encoder. Experiments on the thyroid nodule segmentation dataset (TN3K) and the digital database for thyroid images (DDTI) show that the proposed method achieves dice similarity coefficients (DSC) of 87.24% and 80.79% respectively, outperforming existing models while maintaining a lower computational complexity. This approach may provide an efficient solution for the precise segmentation of thyroid nodules.
Objective
To report our experience in using The Bethesda System for Reporting Thyroid Cytopathology(TBSRTC), and to investigate the diagnostic value of the system based on the cytologic-histologic result.
Methods
Pathological data of 2 257 thyroid nodules classified by TBSRTC which were obtained from the Department of Pathology of West China Hospital between Jan.2010 to Dec.2012 were collected and analyzed, to investigate the diagnostic evaluation indicators, such as the sensitivity, specificity, and diagnostic accuracy of the system based on the cytologic-histologic result.
Results
Of the 2 257 thyroid nodules, 442 (19.6%) were diagnosed as categoryⅠ, 1 184(52.4%) were diagnosed as categoryⅡ, 216(9.6%) were diagnosed as categoryⅢ, 38(1.7%) were diagnosed as categoryⅣ, 172(7.6%) were diagnosed as categoryⅤ, 205(9.1%) were diagnosed as categoryⅥ. Using TBSRTC categoryⅡas the boundary point of diagnosing benign and malignant diseases, the sensitivity, specificity, and diagnostic accuracy were 93.7%(236/252), 86.6%(323/373), and 89.4%(559/625)respectively, while categoryⅢwas excluded from analysis. When including categoryⅢinto analysis, the sensitivity, specificity, and diagnostic accuracy were 94.3%(267/283), 74.9%(323/431), and 82.6%(590/714)respectively.
Conclusion
The validity of TBSRTC was high at our institution. TBSRTC has proven to be an accurate and reliable approach for the diagnosis of thyroid nodules.
Objective To evaluate the clinical value of elasticity indicators in differential diagnosis of thyroid nodules. Methods Gray-scale ultrasound and elasticity imaging were used to examine 116 thyroid nodules. The rate of diameter change and ratio of area in the elasticity and gray-scale imaging were calculated and compared with pathology. Results In nodules of the ultrasonic elasticity grade 4 level and above, the proportion of malignant nodules was significanty higher than that of benign thyroid nodules （P＜0.05）. The malignant nodules was significanty higher than benign thyroid nodules in the rate of diameter change and ratio of area in the elasticity and gray-scale imaging （P＜0.05）. According to ROC analysis, the value of diagnosis and the diagnostic accuracy of the ratio of area was superior to that of the rate of diameter change （P＜0.05）. Conclusion As diagnostic indicators for differential diagnosis of thyroid nodules, the rate of diameter change and the ratio of area in elasticity can significantly improve the value of diagnosis and the accuracy of differential diagnosis level of thyroid nodules.
ObjectiveTo assess the effect of the size of thyroid nodules on the diagnostic rate of ultrasound guided aspiration cytology (US-FNAB).
MethodsThe data of 1 142 (performed by two doctors, 571 each) thyroid nodules between March 2011 and April 2014 in our hospital were retrospectively analyzed. Yields of US-FNAB were divided into two levels of adequacy and inadequacy according to the classification standard of the Bethesda system. The thyroid nodules were classified into five groups according to the largest diameter:≤5 mm group, 5-10 mm group,10-20 mm group, 20-30 mm group, and <30 mm group. According to the grouping of the nodules and the efficiency of US-FNAB drawed curve, the adequacy rates of alone and total of two examiners in each group were analyzed, respectively.
ResultsThe adequacy rates of US-FNAB of alone and total of two examiners in≤5 mm group, 5-10 mm group,10-20 mm group, 20-30 mm group, and <30 mm group was 68.42%, 83.72%, 86.08%, 84.62%, and 73.53% (examiner 1); 68.75%, 70.53%, 81.05%, 86.15%, and 73.91% (examiner 2); 68.59%, 77.53%, 83.59%, 85.47%, and 73.75% (total of two examiners), respectively. The total adequacy rate of US-FNAB of two examiners in≤5 mm group was lower than that in 10-20 mm group (P<0.001) and 20-30 mm group (P=0.001). The adequacy rate of US-FNAB of examiner 1 in 5-10 mm group was higher than that examiner 2 (P=0.001).
ConclusionsThe size of thyroid nodules significantly influences the adequate diagnostic rate of US-FNAB. The adequacy rates of US-FNAB of the largest diameter≤5 mm or <3mm were lower. The low adequacy rate of US-FNAB may be associated with cystic degeneration in the larger nodules.
