Objective To investigate the influencing factors and establish a model predicting the performance of needle visualization in fine-needle aspiration (FNA) of thyroid nodules. Methods This study prospectively included 175 patients who underwent FNA of thyroid nodules in the Department of Ultrasound in China-Japan Friendship Hospital and compared the display of the needle tips in the examination of 199 thyroid nodules before and after the application of needle visualization.We recorded the location,the positional relationship with thyroid capsule,ultrasonic characteristics,and the distribution of the soft tissue strip structure at the puncture site of the nodules with unclear needle tips display before using needle visualization.Furthermore,according to the thyroid imaging reporting and data system proposed by the American College of Radiology,we graded the risk of the nodules.Lasso-Logistic regression was employed to screen out the factors influencing the performance of needle visualization and establish a nomogram for prediction. Results The needle tips were not clearly displayed in the examination of 135 (67.8%) and 53 (26.6%) nodules before and after the application of needle visualization,respectively,which showed a significant difference (P<0.001).Based on the positional relationship between the nodule and capsule,anteroposterior/transverse diameter (A/T) ratio,blood supply,and the distribution of subcutaneous strip structure at the puncture site,a nomogram was established to predict the probability of unclear display of the needle tips after application of needle visualization.The C-index of the prediction model was 0.75 (95%CI=0.67-0.84) and the area under the receiver operating characteristic curve was 0.72.The calibration curve confirmed the appreciable reliability of the prediction model,with the C-index of 0.70 in internal validation. Conclusions Needle visualization can improve the display of the needle tip in ultrasound-guided FNA of thyroid nodules.The nomogram established based on ultrasound features such as the positional relationship between the nodule and capsule,A/T ratio,blood supply,and the distribution of subcutaneous strip structure at the puncture site can predict whether needle visualization is suitable for the examination of nodules.
Humans ; Thyroid Nodule/diagnostic imaging* ; Biopsy, Fine-Needle/methods* ; Reproducibility of Results ; Ultrasonography ; Retrospective Studies ; Thyroid Neoplasms

Objective: To investigate the feasibility and value of histogram analysis based on two-dimensional gray-scale ultrasonography in the differential diagnosis of medullary thyroid carcinoma (MTC) and thyroid adenoma (TA). Methods: The preoperative ultrasound images of 86 newly diagnosed MTC patients and 100 TA patients treated in the Cancer Hospital of Chinese Academy of Medical Sciences from January 2015 to October 2021 were collected. Histograms were performed based on the regions of interest (ROIs) delineated manually by two radiologists, thereafter, mean, variance, skewness, kurtosis, percentiles (1st, 10th, 50th, 90th, 99th) were generated. The histogram parameters between the MTC group and the TA group were compared, and the independent predictors were screened by multivariate logistic regression analysis. Receiver operating characteristic (ROC) analysis was used to compare the individual diagnostic efficacy and joint diagnostic efficacy of independent predictors. Results: Multivariate regression analysis showed that mean, skewness, kurtosis and 50th percentile were independent factors. The skewness and kurtosis in the MTC group were significantly higher than those in the TA group, and the mean and 50th percentile were significantly lower than those in the TA group. The area under the individual ROC curve of mean, skewness, kurtosis and 50th percentile is 0.654-0.778. The area under the combined ROC curve is 0.826. Conclusion: Histogram analysis based on two-dimensional gray-scale ultrasonography is a promising tool to distinguish MTC from TA, in which the joint diagnosis value of mean, skewness, kurtosis and 50th percentile is the highest.
Humans ; ROC Curve ; Diagnosis, Differential ; Retrospective Studies ; Thyroid Neoplasms/diagnostic imaging* ; Ultrasonography ; Diffusion Magnetic Resonance Imaging/methods*

OBJECTIVE: To investigate the value of lymphatic contrast-enhanced ultrasound (LCEUS) with intra-glandular injection of contrast agent for diagnosis of central compartment lymph node metastasis of thyroid cancer. METHODS: From November, 2020 to May, 2022, the patients suspected of having thyroid cancer and scheduled for biopsy at our center received both conventional ultrasound and LCEUS examinations of the central compartment lymph nodes before surgery. All the patients underwent surgical dissection of the lymph nodes. The perfusion features in LCEUS were classified as homogeneous enhancement, heterogeneous enhancement, regular/irregular ring, and non-enhancement. With pathological results as the gold standard, we compared the diagnostic ability of conventional ultrasound and LCEUS for identifying metastasis in the central compartment lymph nodes. RESULTS: Forty-nine patients with 60 lymph nodes were included in the final analysis. Pathological examination reported metastasis in 34 of the lymph nodes, and 26 were benign lymph nodes. With ultrasound findings of heterogeneous enhancement, irregular ring and non-enhancement as the criteria for malignant lesions, LCEUS had a diagnostic sensitivity, specificity and accuracy of 97.06%, 92.31% and 95% for diagnosing metastatic lymph nodes, respectively, demonstrating its better performance than conventional ultrasound (P < 0.001). Receiver-operating characteristic curve analysis showed that LCEUS had a significantly greater area under the curve than conventional ultrasound for diagnosing metastatic lymph nodes (94.7% [0.856-0.988] vs 78.2% [0.656-0.878], P=0.003). CONCLUSION LCEUS can enhance the display and improve the diagnostic accuracy of the central compartment lymph nodes to provide important clinical evidence for making clinical decisions on treatment of thyroid cancer.
Humans ; Lymphatic Metastasis/diagnostic imaging* ; Thyroid Neoplasms/pathology* ; Ultrasonography/methods* ; Lymph Nodes/pathology* ; ROC Curve

Papillary thyroid carcinoma (PTC) is the most common pathological type of thyroid cancer,accounting for 90%.Most cases of PTC are inert tumors,while a few are invasive.Cervical lymph node metastasis is one of the major manifestations of invasive PTC.Preoperative accurate prediction of cervical lymph node metastasis is of great significance for the selection of therapeutic regimen and the evaluation of prognosis.New ultrasound technology is a non-invasive,convenient,and radiation-free examination method,playing a key role in predicting the cervical lymph node metastasis of PTC.This paper reviews the research status and makes an outlook on new ultrasound technology in predicting cervical lymph node metastasis of PTC.
Humans ; Thyroid Cancer, Papillary/diagnostic imaging* ; Lymphatic Metastasis/diagnostic imaging* ; Carcinoma, Papillary/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging* ; Technology

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*

China ; Data Systems ; Humans ; Radiology ; Retrospective Studies ; Thyroid Neoplasms/diagnostic imaging* ; Thyroid Nodule ; Ultrasonography/methods* ; United States

Objective To evaluate the efficacy of ultrasound and computed tomography (CT) in diagnosing cervical lymph node metastasis (CLNM) of papillary thyroid carcinoma (PTC). Methods The patients with PTC treated by surgery in the Chinese PLA General Hospital from January 2016 to January 2021 were selected for analysis.All the patients underwent preoperative ultrasound and CT examinations,the diagnostic values of which for CLNM were retrospectively analyzed. Results A total of 322 PTC patients were enrolled in this study,including 242 with CLNM and 80 with non-CLNM.The CLNM group and non-CLNM group had significant differences in age,tumor size,and maximum size of lateral CLNM (χ²=20.34,27.34,and 4.30,respectively,all P<0.001).For the central compartment,lateral compartment,and overall compartment,ultrasound diagnosis showed higher sensitivity (χ ²=82.26,P<0.001;χ²=114.01,P<0.001;χ²=82.26,P<0.001) and accuracy (χ²=20.27,P<0.001;χ²=15.56,P<0.001;χ²=44.00,P<0.001) than CT,and had no significant differences from ultrasound combined with CT (all P>0.05).However,ultrasound diagnosis had lower specificity than CT (χ²=17.01,P<0.001;χ²=21.29,P<0.001) in the central compartment and lateral compartment.Receiver operating characteristic curve analysis showed that in the central compartment,lateral compartment,and overall compartment,ultrasound diagnosis had larger AUC than CT (Z=2.99,P=0.003;Z=3.86,P<0.001;Z=4.47,P<0.001) and had no significant difference from ultrasound combined with CT (Z=1.87,P=0.062;Z=1.68,P=0.093;Z=1.61,P=0.107). Conclusions Ultrasound and CT have their own advantages in the diagnosis of central and lateral CLNM.In general,ultrasound has better performance than CT in the diagnosis of CLNM.
Humans ; Lymphatic Metastasis/diagnostic imaging* ; Retrospective Studies ; Thyroid Cancer, Papillary/pathology* ; Thyroid Neoplasms/surgery* ; Tomography, X-Ray Computed ; Ultrasonography/methods*

Objective To investigate the clinicopathological features and immunohistochemical phenotypes of brain metastatic carcinoma in Tibetan patients. Methods The clinical and pathological data of all patients with brain metastases from 2014 to 2020 in Tibet Autonomous Region People's Hospital were retrospectively analyzed,including 13 cases of brain metastatic carcinoma.All cases were diagnosed and classified by immunohistochemical staining. Results 13 cases(9 males and 4 females)of brain metastatic carcinoma,aged 26-62 years old,present with headache,dizziness,nausea and vomiting clinically.Four patients had a medical history of tumor,and among the 9 patients with no history of tumor,7 present space occupying lesions in both the brain and other organs.Imaging data could be found in 10 cases,including 4 cases of single lesion and 6 cases of multiple lesions.Primary tumors were identified in 11 cases(8 located in the lung,including 4 cases of adenocarcinoma,3 cases of small cell carcinoma,and 1 case of squamous cell carcinoma;1 case of urothelial carcinoma of the renal pelvis;1 case of thyroid papillary carcinoma;1 case of uterine choriocarcinoma),whereas the primary tumor was unknown for the other 2 cases(1 case of small cell carcinoma and 1 case of adenocarcinoma). Conclusions Brain metastatic carcinoma are more common among middle-aged and elderly people in Tibet.Most of the cases have no history of tumor,with the initial site at the brain metastatic lesions.The most common primary site is the lung,and the primary site of some cases is unknown.Multiple lesions are common in brain metastatic carcinoma,especially in the cerebral hemisphere.For older patients with multiple brain space occupying lesions,the possibility of brain metastatic carcinoma increases.
Adult ; Aged ; Brain ; Brain Neoplasms/diagnostic imaging* ; Carcinoma, Transitional Cell ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Thyroid Neoplasms ; Tibet ; Urinary Bladder Neoplasms

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 establish an artificial intelligence model based on B-mode thyroid ultrasound images to predict central compartment lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC). Methods We retrieved the clinical manifestations and ultrasound images of the tumors in 309 patients with surgical histologically confirmed PTC and treated in the First Medical Center of PLA General Hospital from January to December in 2018.The datasets were split into the training set and the test set.We established a deep learning-based computer-aided model for the diagnosis of CLNM in patients with PTC and then evaluated the diagnosis performance of this model with the test set. Result The accuracy,sensitivity,specificity,and area under receiver operating characteristic curve of our model for predicting CLNM were 80%,76%,83%,and 0.794,respectively. Conclusion Deep learning-based radiomics can be applied in predicting CLNM in patients with PTC and provide a basis for therapeutic regimen selection in clinical practice.
Artificial Intelligence ; Humans ; Lymph Nodes/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Risk Factors ; Thyroid Cancer, Papillary/diagnostic imaging* ; Thyroid Neoplasms/diagnostic imaging*