Neoplasms

Skin and Connective Tissue Diseases

All Conditions

Breast Neoplasms

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 breast surgery or breast 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.

Ultrasound diagnosis of lesions with Samsung S-Detect and ECI technology

Ultrasound diagnosis

Li-Qiang Zhou, MD

Xin-Wu Cui, PhD,MD

You-Bin Deng, PhD,MD

The application of computer-aided diagnosis (CAD) technology "S-Detect" enables qualitative and quantitative automated analysis of ultrasound images to obtain objective, repeatable and more accurate diagnostic results. The Elastic Contrast Index (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-Detect technology for benign and malignant breast nodules and evaluate the differential diagnosis consistency of the ultrasound S-Detect technique and the examiner for benign and malignant breast nodules and explore the differential diagnosis value of Samsung ultrasound elastic contrast Index (ECI) technique for benign and malignant breast nodules.

Breast cancer is the most common malignancy in women and the second leading cause of cancer deaths worldwide. Therefore, early detection of breast cancer and timely treatment are of great significance for controlling and reducing breast cancer mortality. Breast ultrasound is an adjunct to extensive use in the detection of breast cancer, but ultrasound is highly technically dependent on the examiner, and the results are greatly influenced by the subjective nature of the examiner, adding unnecessary surgery and puncture, which causes great problems for clinicians and patients.Moreover, the value of conventional ultrasound in the differential diagnosis of breast mass is still limited, and the emergence of new technologies such as artificial intelligence and elastography has improved the accuracy of ultrasound diagnosis to varying degrees.

S-Detect technology is a computer-aided (CAD) system recently developed by Samsung Medical Center for breast ultrasound to assist in morphological analysis based on the Breast Imaging Reporting and Data System (BI-RADS) description and final assessment.This provides a new way to identify the benign and malignant breast nodules.

The E-Breast 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.

Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Breast Nodules

A Multi-center Study of Differential Diagnosis Breast Nodules by Ultrasound Artificial Intelligence and Ultrasound Elastography

Not public because of the personal information of the participants

The pathological diagnosis of benign or malignant lesions from surgery samples

Xinhua Hospital, Shanghai Jiao Tong University School of Medicine

Taizhou Hospital

Wuhan Hospital of Traditional Chinese Medicine

Macheng People's Hospital

Huangshi Central Hospital, China

Affiliated Hospital of Jiangsu University

The First People's Hospital of Yichang

The Second People's Hospital of Yichang

Xiangyang Central Hospital

The Second Hospital of Anhui Medical University

Anqing People's Hospital

Huainan People's Hospital

Wenzhou Central Hospital

Xuzhou First People's Hospital

The Central Hospital of Lishui City

Huai'an First People's Hospital

WISCO General Hospital

First People's Hospital of Jiangxia District, Wuhan City

Enshi State Central Hospital

Lianyungang Third People's Hospital

Xiangyang First People's Hospital

Xin-Wu Cui

Professor

Gland and Hormone Related Diseases

Thyroid Diseases

Thyroid Nodule

Endocrine System Diseases

Thyroid Neoplasms

Endocrine Gland Neoplasms

Head and Neck Neoplasms

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.

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.

Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Thyroid Nodules

A Multi-center Study of Differential Diagnosis Thyroid Nodules by Ultrasound Artificial Intelligence and Ultrasound Elastography

Jiangxia District First People's Hospital

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization
Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Breast Nodules	NCT03887598	Breast Cancer	Ultrasound diag...	18 Years -	Tongji Hospital
Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Breast Nodules	NCT03887598	Breast Cancer	Ultrasound diag...	18 Years -	Tongji Hospital
Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Thyroid Nodules	NCT03887611	Thyroid Nodule	Ultrasound diag...	18 Years -	Tongji Hospital

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