Clinical Trials Logo

Breast Malignant Tumor clinical trials

View clinical trials related to Breast Malignant Tumor.

Filter by:
  • None
  • Page 1

NCT ID: NCT05576545 Completed - Breast Cancer Clinical Trials

Develop and Evaluate the Effectiveness of a Self-Care Smartphone Application on the Self-Efficacy, and Resilience Among Newly Diagnosed Breast Cancer Patients Undergoing Treatment

Start date: September 18, 2020
Phase: N/A
Study type: Interventional

This study was to develop and evaluate the self-efficacy and resilience of the Breast Cancer Self-Care App in newly diagnosed breast cancer patients undergoing chemotherapy.

NCT ID: NCT05486520 Enrolling by invitation - Clinical trials for Malignant Neoplasm of Breast

Low-field MRI for Breast Cancer Screening

Start date: September 1, 2022
Phase: N/A
Study type: Interventional

This research study wants to learn more about improving the attainable image quality for ultra-low field MRI of the breast using new data acquisition methods(also called MRI pulse sequences) and image reconstruction algorithms. For this pilot study, are testing a new method to image breast cancers at ultra-low magnetic field. The findings from this breast imaging technique will be compared with results obtained from standard mammograms, ultrasounds, MRIs, clinical examinations, and pathology evaluations, when available. The ultra-low field breast MRI performed for this study will be for research purposes and will not be used to guide clinical care.

NCT ID: NCT04340180 Active, not recruiting - Clinical trials for Breast Malignant Tumor

Evaluating the Performance of AI in Evaluating Breast MRI Performed With Dose Reduction

Start date: July 14, 2021
Phase: Phase 1
Study type: Interventional

The purpose of this study is to evaluate the ability of AI to correctly aid in characterization of benign and malignant lesions even when a low dose of gadolinium is administered. This study is relevant for several reasons, most notably being the reduction of MRI dose and decreased gadolinium deposition in the brain. In addition, use of AI may provide increased sensitivity and specificity for the radiologist evaluating a breast MRI exam. Half of the population will have benign pathologies and the other half will have malignant pathologies.