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This study aims to explore the application of AI-assisted ultrasound technology in the preoperative assessment of thyroid cancer. Traditional ultrasound examination data from thyroid cancer patients will be collected, and AI systems will be utilized to detect and diagnose thyroid nodules and lymph nodes. In cases where there is disagreement between the two-dimensional ultrasound and AI system results, further confirmation will be sought through biopsy. Subsequently, pathological results will serve as the "gold standard" for comparison between the AI system and traditional ultrasound examination results, assessing their accuracy and reliability. Through this research endeavor, a more accurate and reliable method for preoperative assessment of thyroid cancer is aspired to be offered, thereby supporting clinical decision-making and paving the way for novel applications of AI in the field of medical imaging diagnosis.
This study aims to investigate the application of AI-assisted ultrasound technology in the preoperative assessment of thyroid cancer. Traditional ultrasound examination data from patients with thyroid cancer, including two-dimensional ultrasound images, color Doppler flow images, and detailed characteristics of thyroid nodules and lymph nodes such as number, size, morphology, echogenicity, margins, calcifications, and aspect ratio, will be collected. Prior to surgery, a reassessment will be conducted using AI-assisted ultrasound technology, and the detection and diagnostic results of thyroid nodules and lymph nodes by the AI system will be recorded. In cases where there is discrepancy between the results of two-dimensional ultrasound and the AI system, fine needle aspiration biopsy or intraoperative biopsy will be performed for further confirmation of their nature. Post-surgery, the pathological results of each nodule will serve as the "gold standard" for comparative analysis between the AI system and traditional two-dimensional ultrasound examinations. The accuracy of the AI system in detecting and localizing nodules will be analyzed, and its sensitivity, specificity, and accuracy will be calculated to evaluate its diagnostic efficacy and reliability in the preoperative assessment of thyroid cancer. Through this research, a more accurate and reliable adjunctive diagnostic method for the preoperative assessment of thyroid cancer is aimed to be provided to assist clinical decision-making. Additionally, new avenues and directions for the application of AI in the field of medical imaging diagnosis will be explored.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Concordant Group | Other | Patients in whom the detection and diagnostic results of thyroid nodules and lymph nodes are consistent between traditional two-dimensional ultrasound and AI-assisted ultrasound. |
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| Discordant Group | Other | Patients in whom the detection and diagnostic results of thyroid nodules and lymph nodes differ between traditional two-dimensional ultrasound and AI-assisted ultrasound. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Supplementary Pathological Examination | Diagnostic Test | For the same thyroid nodule, if there is discordance between the interpretations of AI-assisted ultrasound and traditional two-dimensional ultrasound, supplementary fine needle aspiration biopsy or intraoperative biopsy will be performed to clarify the nature of the nodule. |
| Measure | Description | Time Frame |
|---|---|---|
| Supplementary Pathological Examination | For patients who have completed traditional two-dimensional color ultrasound and AI-assisted ultrasound, record whether a supplementary pathological examination was conducted. | One day after surgery |
| Change in Treatment Decision | For patients who have completed traditional two-dimensional color ultrasound, AI-assisted ultrasound, and undergone supplementary pathological examination, record whether there was a change in the surgical approach or scope. | One day after surgery |
| Measure | Description | Time Frame |
|---|---|---|
| Traditional Two-Dimensional Color Ultrasound Findings | Record ultrasound image features such as number, size, morphology, echogenicity, margins, calcifications, and TI-RADS score of thyroid nodules and lymph nodes under traditional two-dimensional color ultrasound. | Preoperative |
| AI-Assisted Ultrasound Interpretation Results |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Bo Wang Professor | Contact | 13959123550 | wangbo@fjmu.edu.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Fujian Medical University Union Hospital | Recruiting | Fuzhou | Fujian | 350001 | China |
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| ID | Term |
|---|---|
| D013964 | Thyroid Neoplasms |
| ID | Term |
|---|---|
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
| D006258 | Head and Neck Neoplasms |
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| No Need for Supplementary Pathological Examination | Other | For the same thyroid nodule, if there is discordance between the interpretations of AI-assisted ultrasound and traditional two-dimensional ultrasound, there is no need for supplementary fine needle aspiration biopsy or intraoperative biopsy. |
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Record ultrasound image features such as number, size, morphology, echogenicity, margins, calcifications, and TI-RADS score of thyroid nodules and lymph nodes under AI-assisted ultrasound. |
| Preoperative |
| Supplementary Pathological Examination Results | For patients who underwent supplementary pathological examination, record the results of their pathological examination. | One day Postoperative |
| Postoperative Pathology Report | Record the presence of thyroid lesions and lymph node metastasis in the postoperative pathology report. | One day after the postoperative pathology report is released |
| Statistical Indicators | Using pathological evidence as the gold standard, construct contingency tables for both preoperative traditional two-dimensional color ultrasound and AI-assisted ultrasound, calculate sensitivity, specificity | One day after the postoperative pathology report is released |
| Statistical Indicator missed diagnosis rate. | Using pathological evidence as the gold standard, construct contingency tables for both preoperative traditional two-dimensional color ultrasound and AI-assisted ultrasound, missed diagnosis rate. | One day after the postoperative pathology report is released |
| Statistical Indicator positive predictive value | Using pathological evidence as the gold standard positive predictive value | One day after the postoperative pathology report is released |
| Statistical Indicator Youden index | Using pathological evidence as the gold standard Youden index. | One day after the postoperative pathology report is released |
| D004700 |
| Endocrine System Diseases |
| D013959 | Thyroid Diseases |