Active clinical trials for "Breast Neoplasms"

Identify the imaging features of breast cancer with different molecular types Reveal the association between hormone receptor positive/HER2 negative breast cancer and imaging histology, Oncotype Dx recurrence score Combine genomics and imaging to establish a predictive model for the sensitivity of HER2-positive breast cancer targeted therapy Establish an imaging genomics prediction model for triple-negative breast cancer molecular subtypes, and clarify the imaging genomics characteristics of the therapeutic targets of each subtype

Breast cancer (BrCa) is the most common malignant neoplasm in women worldwide with a continuous rise on both its incidence and cancer-related deaths. Accurate evaluation of the presence, extent and status (benign or malignant) of axillary lymph nodes (ALNs) in patients with BrCa has an important prognostic value, and is essential for disease staging and treatment planning. Many radiological diagnostic modalities have been utilized to assess the nature of ALNs in the pre-operative stage. Each modality has its weaknesses and strengths. Multimodal imaging combines two or more imaging modalities into one system to produce details in clinical diagnostic imaging that are more precise than any conventional imaging alone. Therefore, the present study is designed to assess the role of simultaneous multi-modal sonographic tools [conventional grey-scale ultrasound; US, Color-Doppler ultrasound; CDU, strain ultrasound elastography; UE) in evaluating the nature (benign or malignant) of ipsilateral ALNs in patients with primary BrCa together with comparing the diagnostic indices of each with that of all-together (combined modalities). A total of 30 patients with BrCa and US-visible ALNs will be included. All will be subjected to simultaneous examination by US, CDU, UE and US-guided FNA cytology examination of their ipsilateral ALNs. Data will be collected and analyzed using SPSS version 23. Area under the receiver Operating Characteristic (ROC) curve will be calculated and the diagnostic indices of each modality and of all modalities will be measured.

Detection of multifocal, multicentric breast cancer in patients with breast cancer affects surgical decision. Histology-proven additional cancer foci have been reported to be detected in 21.0% to 63.0% of affected breasts in women thought to have localized cancer based on clinical assessment and mammography. Dynamic contrast-enhanced (DCE) MRI is often applied in the preoperative local staging of breast cancer due to its high sensitivity and identifies additional foci that would have otherwise remained undetected on clinical assessment and conventional imaging (mammography and ultrasonography). However, DCE MRI is limited in use due to its low specificity with high false positive rate, causing unnecessary and incorrect conversion to more extensive surgery. Diffusion-weighted MRI (DWI) is a fast, functional MRI technique that measures the movement of water molecules to create tissue contrast without the need for contrast injection. Breast malignancies exhibit hindered diffusion and appear hyperintense on DWI with low apparent diffusion coefficient (ADC) values compared to normal surrounding tissue or benign tumors. Multiple studies including one prospective multi-center trial showed that DWI can reduce unnecessary benign biopsies of suspicious mammographic or DCE MRI-detected lesions and DWI is now considered as an important part of multi-parametric breast MRI protocols. However, little is known about the role of DWI as an adjunct to DCE MRI in the local staging of women with breast cancer. The purpose of our study is to determine whether DWI improves the performance of preoperative DCE MRI in the evaluation of additional lesions in breast cancer patients.

The primary objective of this study, sponsored by Travera in Massachusetts, is to validate whether the mass response biomarker has potential to predict response of patients to specific therapies or therapeutic combinations using isolated tumor cells from varying cancers and biopsy formats.

Enrolled women will undergo a bilateral Contrast-Enhanced Breast Magnetic Resonance Imaging (CE-BMRI) as per usual clinical practice within 30 days of breast cancer diagnosis. Up to 8 weeks after the CE-BMRI exam, subjects will undergo a Dual Energy Contrast Enhanced Digital Mammograph (DE-CEDM).

This is a pilot imaging study for women whose tumors express NIS [Na+I- symporter, sodium iodide symporter]. Eligibility is limited to the presence of strong (3+) and/or plasma membrane staining in > 20% of cells as determined by immunohistochemical methods. A total of 10 patients will be imaged with 124I PET/CT (serial scans over 24 hour period) to determine radioiodide uptake and distribution in tumor tissue. Thyroid iodide uptake and retention will be blocked beginning one week prior to 124I PET/CT scan with thyroid hormone (T3) and methimazole (impedes organification). Tumor, organ and whole body dosimetry will be calculated in each patient.

The primary objective of this trial is to compare GeneSearch™ Breast Lymph Node (BLN) Test Kit to permanent pathological section, so as to evaluate the clinical sensitivity and specificity of GeneSearch™ Breast Lymph Node (BLN) Test Kit in detecting axillary sentinel lymph node metastases in breast cancer patients. The secondary objective of this trial is to evaluate the positive predictive value and negative predictive value of GeneSearch™ Breast Lymph Node (BLN) Test Kit when used in the detection of axillary sentinel lymph node metastases in breast cancer patients. Prospective and multi-center clinical trial

This study aims to use a combination of abbreviated protocol and artificial intelligence to automatically identify lesions and make diagnosis without decreasing the diagnostic accuracy of breast cancer, thus enhancing the comfort of patient examination, accelerating the flow of examination and reducing the load of clinical work.

The investigators will retrospectively study the demographic , clinicopathological characteristics and survival of breast cancer patients admitted to Assiut University hospital from the year 2015 to 2019

This study aims to evaluate how breast cancer cells metabolise nutrients in order to grow. Patients enrolled into this study will undergo a research biopsy that will aim to collect up to 4 cores of tumour tissue. These tissues will then be used in translational research to analyse how specific pro-tumorigenic events change breast cancer cell metabolism (compared to healthy cell metabolism).