Found 2,222 clinical trials
BREAST Choice Decision Tool R21
Breast reconstruction is a critical component of breast cancer treatment because it restores quality of life and body image after mastectomy. However, Spanish-speaking Latina women are significantly less likely to undergo reconstruction (13.5% vs. 41% for non-Latina White or highly acculturated Latina), meet with a reconstructive surgeon (18.1% vs. 72.6% …
Rapid Histologic Assessment for Stereotactic Breast Biopsy: Enhancing Early Detection With Miniature Mass Spectrometry and AI
Breast cancer is the leading cancer among Taiwanese women, and it is the second leading cause of cancer-related deaths in women. The five-year survival rate for early-stage breast cancer (Stage 0 to II) is over 90%, significantly better than the survival rates for Stage III and Stage IV breast cancer, …
MIBREAST Making in Immediate Breast REconstruction And the Measurement of the EffectS of RadioTherapy
Patients who require a removal of a breast (mastectomy) for breast cancer or future risk reduction often have immediate breast reconstruction (IBR). This can be performed using either an implant or the patient's own body fat to recreate the breast shape. Patients can find it difficult to imagine their own …
Intraoperative Detection of Breast Cancer by Electrosurgical Gas Analysis and Artificial Intelligence
The aim of this clinical trial is to assess the feasibility of training a device capable of distinguishing various gases emitted by tissues cauterized by an electrosurgical unit during a breast cancer resection surgery. The patients to be enrolled will be women over 18 years old diagnosed with breast cancer …
Social and Environmental Determinants of Breast Cancer Survivorship: the Black Breast Cancer Survivor's Intervention (BBCSI)
The goal of this research study is to learn about the effects of the BBCSI course on the quality of life of Black breast cancer survivors. A community-based and peer-led Black Breast Cancer Survivors Intervention (BBCSI) course has been developed to help improve the quality of life of Black breast …
Distribution of the Homologous Recombination-related (HRR) Genesmutationsand HRD in Breast Cancer
This is a cross-sectional and an observational study, investigator-initiated study in HER2-low breast cancer patients. Approximately 255 subjects with HRD (homologous recombination deficiency) assessment will be enrolled in this study to examine the distribution and features of HRD/HRR (homologous recombination repair). In this study, investigators plan to clarify the frequency …
Observational Clinical Study on Role of MRD in Predicting Local Therapy in Oligometastatic Breast Cancer
This is an observational clinical study of MRD as a predictor of local treatment in patients with oligometastatic breast cancer. The aim of the study is to assess the correlation between MRD levels and prognosis in patients with oligometastatic breast cancer who have undergone local treatment in order to identify …
Clinical Study of 18F-Labeled FAPI-04 in PET Imaging of Breast Cancer
This study aims to evaluate the diagnostic accuracy (sensitivity, specificity, positive/negative predictive value, and overall accuracy) of 18F-FAPI-04 PET imaging in breast cancer for detecting fibroblast activation protein (FAP)-rich lesions. Additionally, the study will longitudinally monitor dynamic changes in FAP expression levels and tumor size during therapy, including chemotherapy, targeted …
Prospective Validation and Application of an Artificial Intelligence-based Model for Evaluating the Efficacy of Breast Cancer Patients After Neoadjuvant Therapy
Breast cancer has become the world's number one cancer. While its therapeutic efficacy is increasing, how to achieve non-invasive evaluation of the efficacy of neoadjuvant therapy (NAT) for breast cancer patients and thus avoid surgery has become a bottleneck problem that needs to be broken through in clinical diagnosis and …
AI Model for Classifying Breast Cancer From Histopathology Images
Breast cancer, a prevalent and potentially fatal disease, underscores the need for early and accurate detection to improve patient outcomes. Traditional histopathological examination, the current gold standard for diagnosis, faces limitations like subjectivity and low efficiency. In response, this research seeks to revolutionize breast cancer diagnostics by using deep learning …
