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| Name | Class |
|---|---|
| Xinhua Hospital, Shanghai Jiao Tong University School of Medicine | OTHER |
| Wuhan Hospital of Traditional Chinese Medicine | OTHER |
| Macheng People's Hospital | UNKNOWN |
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The application of computer-aided diagnosis (CAD) technology "S-DetectTM" enables qualitative and quantitative automated analysis of ultrasound images to obtain objective, repeatable and more accurate diagnostic results. The Elastic Contrast Factor (ECI) technique, unlike conventional strain-elastic imaging techniques, can evaluate the elastic distribution in the region of interest. The purpose of the study was to evaluate the differential diagnosis value of ultrasound S-DetectTM technology for benign and malignant thyroid nodules and evaluate the consistency of ultrasound S-DetectTM technology and sonographer in the differential diagnosis of thyroid nodules and explore the differential diagnosis value of Samsung ultrasound ECI technology for benign and malignant thyroid nodules.
Thyroid nodules are one of the most common nodular lesions in adults, and their incidence is increasing. Clinical studies have found that about 10%-15% of adults have thyroid nodules, most of which are benign nodules, only 7% of thyroid nodules tend to be malignant, but if not treated promptly, 5% of patients will still from benign to malignant. The incidence of thyroid cancer increases with age. According to the National Cancer Research Center, about 64,300 new cases of thyroid cancer occurred in the world in 2016, and about 1,980 died of thyroid cancer. Timely and accurate detection of thyroid nodules and differentiation of benign and malignant are important for improving clinical treatment and improving patient prognosis.
S-Detect technology is a computer-aided (CAD) system recently developed by Samsung Medical Center for thyroid ultrasound to assist in morphological analysis based on the Thyroid Imaging Reporting and Data System (TI-RADS) description and final assessment.This provides a new way to identify the benign and malignant thyroid nodules.
The ECI technique, unlike conventional strain-elastic imaging technology, performs an elastic analysis of the entire two-dimensional image. Moreover, when measuring the elastic ratio, it is only necessary to place a region of interest (ROI) at the nodule. Compared with the average elasticity of the surrounding area, it is more reflective of the elastic ratio of the mass to the surrounding tissue.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| thyroid nodules | Those with one or more breast nodules, age 18 or older, upcoming FNAB or surgery and signed informed consent.Those without adverse effects on the test or threatening other candidates, such as mental illness, pregnancy, poor ultrasound image quality, history of thyroid surgery or thyroid biopsy, simple cystic nodules, calcification, excessive mass or too small, the S-DetectTM system can not identify the boundary of the tumor, the basic information is incomplete. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Ultrasound diagnosis | Device | Ultrasound diagnosis of lesions with Samsung S-Detect and ECI technology |
|
| Measure | Description | Time Frame |
|---|---|---|
| Benign or malignant lesions as determined by pathology | The pathological diagnosis of benign or malignant lesions from surgery samples | Before surgery or biopsy |
| Elastic ratio | Clear ECI value | Before surgery or biopsy |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with thyroid nodules in large tertiary hospitals
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Li-Qiang Zhou, MD | Contact | 15387076275 | zlq_1118@hust.edu.cn |
| Name | Affiliation | Role |
|---|---|---|
| Xin-Wu Cui, PhD,MD | Tongji Hospital | Study Chair |
| You-Bin Deng, PhD,MD | Tongji Hospital | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Xin-Wu Cui | Recruiting | Wuhan | Hubei | 430030 | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 28071987 | Result | Choi YJ, Baek JH, Park HS, Shim WH, Kim TY, Shong YK, Lee JH. A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment. Thyroid. 2017 Apr;27(4):546-552. doi: 10.1089/thy.2016.0372. Epub 2017 Feb 28. |
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Not public because of the personal information of the participants
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| ID | Term |
|---|---|
| D016606 | Thyroid Nodule |
| ID | Term |
|---|---|
| D013964 | Thyroid Neoplasms |
| D004701 | Endocrine Gland Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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| ID | Term |
|---|---|
| D014463 | Ultrasonography |
| ID | Term |
|---|---|
| D003952 | Diagnostic Imaging |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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| Huangshi Central Hospital |
| OTHER |
| Affiliated Hospital of Jiangsu University | OTHER |
| The First People's Hospital of Yichang | UNKNOWN |
| Yichang Second People's Hospital | OTHER |
| Xiangyang Central Hospital | OTHER |
| The Second Hospital of Anhui Medical University | OTHER |
| Anqing Municipal Hospital | OTHER |
| Huainan People's Hospital | UNKNOWN |
| Taizhou Hospital | OTHER |
| Wenzhou Central Hospital | OTHER |
| Xuzhou First People's Hospital | UNKNOWN |
| The Central Hospital of Lishui City | OTHER |
| Huai'an First People's Hospital | OTHER |
| WISCO General Hospital | UNKNOWN |
| Jiangxia District First People's Hospital | UNKNOWN |
| Enshi State Central Hospital | UNKNOWN |
| Lianyungang Third People's Hospital | UNKNOWN |
| First People's Hospital of Xianyang | OTHER |
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| D006258 |
| Head and Neck Neoplasms |
| D004700 | Endocrine System Diseases |
| D013959 | Thyroid Diseases |