Clinical trials: Benign Breast Lesions
Breast - Female, Dense Breast Parenchyma
Evaluation and Reclassification of ( BI-RADS 3) Breast Lesions in Dense Breast
This prospective study aims to compare combined breast ultrasound (US) and digital mammography (DM) with digital breast tomosynthesis (DBT) in the evaluation and reclassification of BI-RADS 3 (probably benign) breast lesions.
- Conditions
- Breast - Female, Dense Breast Parenchyma, Breast Lesion, Digital Mammography
- Trial name
- NCT07804147
- Where
- Egypt
- Volunteers
- 30 people
- Sponsor
- Sohag University
Breast Diseases
Radiomics Model Based on DCE-MRI and Ultrasound Images for Breast Lesion Classification
To develop and compare multi-modality radiomics models based on DCE-MRI, B-mode ultrasound (BMUS) and strain elastography (SE) images for classifying benign and malignant breast lesions.
- Trial name
- NCT06497023
- Where
- China
- Volunteers
- 550 people
- Sponsor
- Ma Zhe
Breast Diseases
Using Deep Learning and Radiomics to Diagnose Benign and Malignant Breast Lesions Based on Ultrasound
This retrospective study aimed to create a prediction model using deep learning and radiomics features extracted from intratumoral and peritumoral regions of breast lesions in ultrasound images, to diagnose benign and malignant…
- Trial name
- NCT06069921
- Where
- China
- Volunteers
- 400 people
- Sponsor
- Ma Zhe
Cancer Risk, Cancer Predisposition Syndrome
InAdvance: Surveillance, Prevention, and Interception in a Population at Risk for Cancer
This research study is creating a way to collect and store specimens and information from participants who may be at an increased risk of developing cancer, or has been diagnosed with an early phase of a cancer or a family member…
- Conditions
- Cancer Risk, Cancer Predisposition Syndrome, Hereditary Cancer Prediction, Childhood Cancer Survivors
- Trial name
- NCT05463796
- Testing
- Samples
- Where
- United States
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Dana-Farber Cancer Institute