Introduction: A thyroid nodule is a localized hypertrophy within the thyroid parenchyma. The aim of our study was to study the benefit of ultrasound in the Ti-rads classification of thyroid nodules. Methodology: This ...Introduction: A thyroid nodule is a localized hypertrophy within the thyroid parenchyma. The aim of our study was to study the benefit of ultrasound in the Ti-rads classification of thyroid nodules. Methodology: This was a prospective study with a descriptive aim, with prospective collection, which took place over a period of 17 months at the “Marie Curie” medical clinic. The ultrasound machine used was a Voluson E8 from 2011 and the examinations were carried out by two radiologists and two experienced sonographers. The parameters studied were sociodemographic data;clinical data and ultrasound aspects of the Ti-rads classification in the management of nodules. Results: We collected 235 patients out of 738 patients referred to the service for a cervical ultrasound, i.e. a frequency of 31.84% of cases. There was a female predominance with 95.7% of cases and a sex ratio of 0.04. The average age of our patients was 50 years. We found on cervical ultrasound: Isthmo-lobar glandular hyperplasia in 99 patients, i.e. a frequency of 42.1%. The Ti-rads 3 classification was the most represented in 69.4% of cases. The benignity criterion represented 85.6% of cases in our patients and the malignancy criterion represented 14.4% of cases. Conclusion: The precise description of a thyroid nodule provided by ultrasound (Ti-rads) is essential in the management of nodules.展开更多
<strong>Context: </strong>Diagnostic imaging has increased the rate of thyroid nodules detection and improved utilization of fine-needle aspiration (FNA). <strong>Objective:</strong> This study...<strong>Context: </strong>Diagnostic imaging has increased the rate of thyroid nodules detection and improved utilization of fine-needle aspiration (FNA). <strong>Objective:</strong> This study aims to demonstrate the effects of the most reliable non-invasive technique on thyroid nodules. <strong>Methods:</strong> Between 2016 and 2020, 190 patients with 214 nodules visiting King Khalid University Hospital were randomly selected and retrospectively reviewed. Following the ACR TI-RADS recommendations for FNA and correlating cytology reports. Two expert radiologists with ultrasonographic imaging experience re-evaluated and reviewed the images. 88 nodules (41%) in 79 patients were excluded because the nodule size was smaller than the FNA recommended size. <strong>Results:</strong> Following the ACR TI-RADS for FNA recommended selection, 27 nodules (21.4%) out of the recommended 126 nodules were consistent with malignancy in cytology, with overall mean sensitivities, specificities, accuracies, precisions, and negative predictive values (NPV) of 96.4%, 40.7%, 48.7%, 28.4%, and 98.6% respectively. The nodules were subdivided into the TI-RADS 3, 4, and 5.<strong> Conclusion:</strong> In conclusion, ACR TI-RADS is feasible, reliable, and well structured, easily applicable in thyroid nodules reporting. ACR TI-RADS can eliminate many unnecessary FNAs, providing a decline in costs and complications. We recommend the ACR TI-RADS in our radiology department to eliminate reporting discrepancies and cut costs, thereby standardizing the reports, improving intra-user agreements, and improving overall patients’ health care.展开更多
The diagnosis and management of thyroid cancer is fraught with challenges despite the advent of innovative diagnostic,surgical,and chemotherapeutic modalities.Challenges like inaccuracy in prognostication,uncertainty ...The diagnosis and management of thyroid cancer is fraught with challenges despite the advent of innovative diagnostic,surgical,and chemotherapeutic modalities.Challenges like inaccuracy in prognostication,uncertainty in cytopathological diagnosis,trouble in differentiating follicular neoplasms,intra-observer and inter-observer variability on ultrasound imaging preclude personalised treatment in thyroid cancer.Artificial intelligence(AI)is bringing a paradigm shift to the healthcare,powered by quick advancement of the analytic techniques.Several recent studies have shown remarkable progress in thyroid cancer diagnostics based on AI-assisted algorithms.Application of AI techniques in thyroid ultrasonography and cytopathology have shown remarkable improvement in sensitivity and specificity over the traditional diagnostic modalities.AI has also been explored in the development of treatment algorithms for indeterminate nodules and for prognostication in the patients with thyroid cancer.The benefits of high repeatability and straightforward implementation of AI in the management of thyroid cancer suggest that it holds promise for clinical application.Limited clinical experience and lack of prospective validation studies remain the biggest drawbacks.Developing verified and trustworthy algorithms after extensive testing and validation using prospective,multi-centre trials is crucial for the future use of AI in the pipeline of precision medicine in the management of thyroid cancer.展开更多
The purpose of this study was to evaluate the predictive value of real-time ultrasound elastography (RUE) in differentiating benign from malignant thyroid nodules, with fine needle aspiration cytology analysis as the ...The purpose of this study was to evaluate the predictive value of real-time ultrasound elastography (RUE) in differentiating benign from malignant thyroid nodules, with fine needle aspiration cytology analysis as the reference standard. A total of 78 consecutive patients with thyroid nodules who were selected for fine needle aspiration biopsies were examined in this prospective study. 78 nodules in these patients were examined by conventional ultrasound, and ultrasound elastography. The final diagnosis was obtained from cytological findings. Tissue stiffness on ultrasound elastography was scored from 1 (low stiffness over the entire nodule) to 5 (high stiffness over the entire nodule and surrounding tissue). On real-time ultrasound elastography, 47 of 62 benign nodules (76%) had a score of 1 or 2, whereas 15 of 16 malignant nodules had a score of 3 to 5, with sensitivity of 93.7%, specificity of 90%, a positive predictive value of 71%, and a negative predictive value of 98%. Real-time ultrasound elastography is a promising imaging technique that is useful in the differential diagnosis of thyroid cancer. Utilization of ultrasound elastography could reduce the rate of thyroid biopsies because of its high elasticity being highly associated with benign cytology.展开更多
BACKGROUND Cervical lymph node metastasis in papillary thyroid carcinoma(PTC) affects the treatment and prognosis of patients. Ultrasound is a common imaging method for detecting cervical lymph nodes in PTC patients; ...BACKGROUND Cervical lymph node metastasis in papillary thyroid carcinoma(PTC) affects the treatment and prognosis of patients. Ultrasound is a common imaging method for detecting cervical lymph nodes in PTC patients; however, it is not accurate in determining lymph node metastasis.AIM To evaluate the value of contrast-enhanced ultrasound combined with elastography in evaluating cervical lymph node metastasis in PTC.METHODS A total of 94 patients with PTC were recruited. According to pathological results,lymph nodes were divided into two groups: metastatic group(n = 50) and reactive group(n = 63). The routine ultrasound findings, contrast-enhanced ultrasound and elastography data were recorded and compared. Logistic regression was used to generate predictive probability distributions for the diagnosis of lymph node metastasis with different indicators. Receiver operating characteristic curve analysis was used to test the efficacy of contrast-enhanced ultrasound combined with elastography based on routine ultrasound in evaluating PTC cervical lymph node metastasis.RESULTS The ratio of long diameter/short diameter(L/S) ≤ 2, irregular marginal morphology, missing lymphatic portal, peripheral or mixed blood flow distribution, peak intensity(PI), non-uniform contrast distribution and elasticity score in the metastatic group were significantly higher than those in the reactive group(P < 0.05). L/S ratio, missing lymphatic portal, PI and elasticity score had a significant influence on the occurrence of PTC cervical lymph node metastasis(P< 0.05). Furthermore, the area under the curve(AUC) for lymph node metastasis diagnosed using the combination of PI ratio, elasticity score, missing lymphatic portal and LS was 0.936, which was significantly higher than the AUC for PI ratio alone. The difference was statistically significant(P < 0.05). The fitting equation for the combined diagnosis was logit(P) =-12.341 + 1.482 × L/S ratio + 3.529 ×missing lymphatic portal + 0.392 × PI + 3.288 × elasticity score.CONCLUSION Based on the gray-scale ultrasound, the combination of contrast-enhanced ultrasound and elastography can accurately assess PTC cervical lymph node metastasis.展开更多
Objective: The aim of this study was to develop a simple predictor model to diagnose malignancy by using ultrasound features of thyroid nodules and the association with cytopathological diagnosis obtained by fine need...Objective: The aim of this study was to develop a simple predictor model to diagnose malignancy by using ultrasound features of thyroid nodules and the association with cytopathological diagnosis obtained by fine needle aspiration. Materials and Methods: The likelihood of malignancy from ultrasound features was assessed in thyroid nodules obtained by fine-needle aspiration biopsy (FNAB) according to cytopathological findings reported using Bethesda System. A score was developed depending on the presence of each ultrasound feature evaluated. Results: 429 nodules were assessed, 103 (24%) were malignant. The following ultrasound features were associated with malignancy, according to the logistic regression analysis and were assigned a score of 0, +1, +2 depending on the presence or absence of each one: hypoechogenicity, solid appearance, irregular margins, microcalcifications, absence of a halo, diameter of ≥10 mm and intranodular vascular flow. The area under the curve of the proposed model was 0.900, demonstrating its predictive capacity. 4 risk categories were stablished based on the score obtained. Malignant nodules scored higher than the benign nodules (7.24 ±1.87 vs. 3.74 ±1.83). Conclusions: The proposed predictive model demonstrated to be useful and easy to apply when stratifying thyroid nodule risk of malignancy using presented US features and applying the proposed risk categories to increase the accuracy at selecting nodules that need to be studied with FNA.展开更多
Retrospective study was done at KAUH to determine the sonographic characteristics in predicting the malignancy of thyroid nodules. The sample was 120 patients consisting of 70 benign nodules and 50 malignant nodules. ...Retrospective study was done at KAUH to determine the sonographic characteristics in predicting the malignancy of thyroid nodules. The sample was 120 patients consisting of 70 benign nodules and 50 malignant nodules. Out of 120 patients, 106 (88.3%) female and 14 (11.7%) male patients. Out of 106 female patients, 64 (91.45) had benign and 42 had malignant thyroid nodules. Out of 14 (11.7) male patients, 6 had benign and 8 had malignant thyroid nodules. The youngest patient in our study was 31 years and the oldest patient was 76 years. The common range of patients age was ≥ 60 years and consisting of twenty (28.6%) benign thyroid nodules and fourteen (28%) malignant thyroid nodules. The majority of patients’ age group with malignant thyroid nodules were between 50 - 60 years and consisting of twenty (40%) malignant nodules. In our study, according to the result of gray scale and color Doppler ultrasonography, hypo-echogenicity, solid echo structure, micro-calcification and intra-nodular vascularity were the significant characteristics of malignancy in nodules with sensitivity (72%, 74%, 48% and 88% respectively), specificity (66%, 63%, 94% and 69% respectively), PPV (60%, 59%, 86% and 67% respectively) and NPV (77%, 77%, 72% and 89% respectively).展开更多
文摘Introduction: A thyroid nodule is a localized hypertrophy within the thyroid parenchyma. The aim of our study was to study the benefit of ultrasound in the Ti-rads classification of thyroid nodules. Methodology: This was a prospective study with a descriptive aim, with prospective collection, which took place over a period of 17 months at the “Marie Curie” medical clinic. The ultrasound machine used was a Voluson E8 from 2011 and the examinations were carried out by two radiologists and two experienced sonographers. The parameters studied were sociodemographic data;clinical data and ultrasound aspects of the Ti-rads classification in the management of nodules. Results: We collected 235 patients out of 738 patients referred to the service for a cervical ultrasound, i.e. a frequency of 31.84% of cases. There was a female predominance with 95.7% of cases and a sex ratio of 0.04. The average age of our patients was 50 years. We found on cervical ultrasound: Isthmo-lobar glandular hyperplasia in 99 patients, i.e. a frequency of 42.1%. The Ti-rads 3 classification was the most represented in 69.4% of cases. The benignity criterion represented 85.6% of cases in our patients and the malignancy criterion represented 14.4% of cases. Conclusion: The precise description of a thyroid nodule provided by ultrasound (Ti-rads) is essential in the management of nodules.
文摘<strong>Context: </strong>Diagnostic imaging has increased the rate of thyroid nodules detection and improved utilization of fine-needle aspiration (FNA). <strong>Objective:</strong> This study aims to demonstrate the effects of the most reliable non-invasive technique on thyroid nodules. <strong>Methods:</strong> Between 2016 and 2020, 190 patients with 214 nodules visiting King Khalid University Hospital were randomly selected and retrospectively reviewed. Following the ACR TI-RADS recommendations for FNA and correlating cytology reports. Two expert radiologists with ultrasonographic imaging experience re-evaluated and reviewed the images. 88 nodules (41%) in 79 patients were excluded because the nodule size was smaller than the FNA recommended size. <strong>Results:</strong> Following the ACR TI-RADS for FNA recommended selection, 27 nodules (21.4%) out of the recommended 126 nodules were consistent with malignancy in cytology, with overall mean sensitivities, specificities, accuracies, precisions, and negative predictive values (NPV) of 96.4%, 40.7%, 48.7%, 28.4%, and 98.6% respectively. The nodules were subdivided into the TI-RADS 3, 4, and 5.<strong> Conclusion:</strong> In conclusion, ACR TI-RADS is feasible, reliable, and well structured, easily applicable in thyroid nodules reporting. ACR TI-RADS can eliminate many unnecessary FNAs, providing a decline in costs and complications. We recommend the ACR TI-RADS in our radiology department to eliminate reporting discrepancies and cut costs, thereby standardizing the reports, improving intra-user agreements, and improving overall patients’ health care.
文摘The diagnosis and management of thyroid cancer is fraught with challenges despite the advent of innovative diagnostic,surgical,and chemotherapeutic modalities.Challenges like inaccuracy in prognostication,uncertainty in cytopathological diagnosis,trouble in differentiating follicular neoplasms,intra-observer and inter-observer variability on ultrasound imaging preclude personalised treatment in thyroid cancer.Artificial intelligence(AI)is bringing a paradigm shift to the healthcare,powered by quick advancement of the analytic techniques.Several recent studies have shown remarkable progress in thyroid cancer diagnostics based on AI-assisted algorithms.Application of AI techniques in thyroid ultrasonography and cytopathology have shown remarkable improvement in sensitivity and specificity over the traditional diagnostic modalities.AI has also been explored in the development of treatment algorithms for indeterminate nodules and for prognostication in the patients with thyroid cancer.The benefits of high repeatability and straightforward implementation of AI in the management of thyroid cancer suggest that it holds promise for clinical application.Limited clinical experience and lack of prospective validation studies remain the biggest drawbacks.Developing verified and trustworthy algorithms after extensive testing and validation using prospective,multi-centre trials is crucial for the future use of AI in the pipeline of precision medicine in the management of thyroid cancer.
文摘The purpose of this study was to evaluate the predictive value of real-time ultrasound elastography (RUE) in differentiating benign from malignant thyroid nodules, with fine needle aspiration cytology analysis as the reference standard. A total of 78 consecutive patients with thyroid nodules who were selected for fine needle aspiration biopsies were examined in this prospective study. 78 nodules in these patients were examined by conventional ultrasound, and ultrasound elastography. The final diagnosis was obtained from cytological findings. Tissue stiffness on ultrasound elastography was scored from 1 (low stiffness over the entire nodule) to 5 (high stiffness over the entire nodule and surrounding tissue). On real-time ultrasound elastography, 47 of 62 benign nodules (76%) had a score of 1 or 2, whereas 15 of 16 malignant nodules had a score of 3 to 5, with sensitivity of 93.7%, specificity of 90%, a positive predictive value of 71%, and a negative predictive value of 98%. Real-time ultrasound elastography is a promising imaging technique that is useful in the differential diagnosis of thyroid cancer. Utilization of ultrasound elastography could reduce the rate of thyroid biopsies because of its high elasticity being highly associated with benign cytology.
基金Supported by Shenzhen Science and Technology Plan Funding Project,No.201102125
文摘BACKGROUND Cervical lymph node metastasis in papillary thyroid carcinoma(PTC) affects the treatment and prognosis of patients. Ultrasound is a common imaging method for detecting cervical lymph nodes in PTC patients; however, it is not accurate in determining lymph node metastasis.AIM To evaluate the value of contrast-enhanced ultrasound combined with elastography in evaluating cervical lymph node metastasis in PTC.METHODS A total of 94 patients with PTC were recruited. According to pathological results,lymph nodes were divided into two groups: metastatic group(n = 50) and reactive group(n = 63). The routine ultrasound findings, contrast-enhanced ultrasound and elastography data were recorded and compared. Logistic regression was used to generate predictive probability distributions for the diagnosis of lymph node metastasis with different indicators. Receiver operating characteristic curve analysis was used to test the efficacy of contrast-enhanced ultrasound combined with elastography based on routine ultrasound in evaluating PTC cervical lymph node metastasis.RESULTS The ratio of long diameter/short diameter(L/S) ≤ 2, irregular marginal morphology, missing lymphatic portal, peripheral or mixed blood flow distribution, peak intensity(PI), non-uniform contrast distribution and elasticity score in the metastatic group were significantly higher than those in the reactive group(P < 0.05). L/S ratio, missing lymphatic portal, PI and elasticity score had a significant influence on the occurrence of PTC cervical lymph node metastasis(P< 0.05). Furthermore, the area under the curve(AUC) for lymph node metastasis diagnosed using the combination of PI ratio, elasticity score, missing lymphatic portal and LS was 0.936, which was significantly higher than the AUC for PI ratio alone. The difference was statistically significant(P < 0.05). The fitting equation for the combined diagnosis was logit(P) =-12.341 + 1.482 × L/S ratio + 3.529 ×missing lymphatic portal + 0.392 × PI + 3.288 × elasticity score.CONCLUSION Based on the gray-scale ultrasound, the combination of contrast-enhanced ultrasound and elastography can accurately assess PTC cervical lymph node metastasis.
文摘Objective: The aim of this study was to develop a simple predictor model to diagnose malignancy by using ultrasound features of thyroid nodules and the association with cytopathological diagnosis obtained by fine needle aspiration. Materials and Methods: The likelihood of malignancy from ultrasound features was assessed in thyroid nodules obtained by fine-needle aspiration biopsy (FNAB) according to cytopathological findings reported using Bethesda System. A score was developed depending on the presence of each ultrasound feature evaluated. Results: 429 nodules were assessed, 103 (24%) were malignant. The following ultrasound features were associated with malignancy, according to the logistic regression analysis and were assigned a score of 0, +1, +2 depending on the presence or absence of each one: hypoechogenicity, solid appearance, irregular margins, microcalcifications, absence of a halo, diameter of ≥10 mm and intranodular vascular flow. The area under the curve of the proposed model was 0.900, demonstrating its predictive capacity. 4 risk categories were stablished based on the score obtained. Malignant nodules scored higher than the benign nodules (7.24 ±1.87 vs. 3.74 ±1.83). Conclusions: The proposed predictive model demonstrated to be useful and easy to apply when stratifying thyroid nodule risk of malignancy using presented US features and applying the proposed risk categories to increase the accuracy at selecting nodules that need to be studied with FNA.
文摘Retrospective study was done at KAUH to determine the sonographic characteristics in predicting the malignancy of thyroid nodules. The sample was 120 patients consisting of 70 benign nodules and 50 malignant nodules. Out of 120 patients, 106 (88.3%) female and 14 (11.7%) male patients. Out of 106 female patients, 64 (91.45) had benign and 42 had malignant thyroid nodules. Out of 14 (11.7) male patients, 6 had benign and 8 had malignant thyroid nodules. The youngest patient in our study was 31 years and the oldest patient was 76 years. The common range of patients age was ≥ 60 years and consisting of twenty (28.6%) benign thyroid nodules and fourteen (28%) malignant thyroid nodules. The majority of patients’ age group with malignant thyroid nodules were between 50 - 60 years and consisting of twenty (40%) malignant nodules. In our study, according to the result of gray scale and color Doppler ultrasonography, hypo-echogenicity, solid echo structure, micro-calcification and intra-nodular vascularity were the significant characteristics of malignancy in nodules with sensitivity (72%, 74%, 48% and 88% respectively), specificity (66%, 63%, 94% and 69% respectively), PPV (60%, 59%, 86% and 67% respectively) and NPV (77%, 77%, 72% and 89% respectively).