Active clinical trials for "Breast Neoplasms"

Study objective: Cohort 1: To quantify the uptake of 68GaNOTA-Anti-HER2 VHH1 in local or distant metastases from breast carcinoma patients and to assess repeatability of the image-based HER2 quantification. The uptake will be correlated to results obtained via biopsy of the same lesion, if available. Cohort 2: To report on uptake of 68GaNOTA-Anti-HER2 VHH1 in different cancer types that might overexpress HER2 Cohort 3: To explore the feasibility and added value of 68GaNOTA-Anti-HER2 VHH1 in the neoadjuvant setting of HER2-expressing breast carcinoma Time schedule: After inclusion, patients will be injected intravenously with 37 - 185 MBq 68GaNOTA-Anti-HER2 VHH1 with a total mass of up to 200 μg NOTA-Anti-HER2 VHH1. Serum and plasma samples will be collected at injection. At 90 min after injection, a total body PET/CT scan will be performed. Patients in cohort 1 will undergo a second PET/CT procedure, identical to the first procedure, within 8 days, with a minimal interval of 18h and maximal interval of 8 days. Patients in cohort 2 can undergo an optional 18F-FDG-PET/CT within 21 days prior to or after 68GaNOTA-Anti-HER2 VHH1. In cohort 1 and 2, based on PET/CT images, up to 2 lesions will be selected for optional image-guided biopsy. Biopsy will be performed max. 28 days after the last PET/CT. Plasma and serum samples will be obtained between 60 and 365 days after first injection for patients in cohort 1 and between 42 and 365 days after first injection for patients in cohort 2. Patients in cohort 3 will undergo 68GaNOTA-Anti-HER2 VHH1 PET/CT prior to the start of neoadjuvant treatment and again after the last cycle of neoadjuvant treatment but prior to surgery. Plasma and serum samples will be obtained before each injection and between 42 and 365 days after the last injection.

This study investigates the uptake of the radiopharmaceutical 68-GaNOTA-Anti-HER2 VHH1 in brain metastasis using PET/CT imaging. Patients with HER2-positive and HER2-negative breast cancer will be included and the uptake in their lesions will be compared. Optional 68-GaNOTA-Anti-HER2 VHH1 scans may be performed during or after treatment, at time points 12±6 weeks and 24±9 weeks after the first scan.

The purpose of this study is to learn more about how to treat patients with HER-2/neu positive invasive breast cancer (IBC). HER-2/neu is a type of protein that is known to be over-expressed in aggressive breast cancer. The study drug for this trial is DC1 study vaccine which is a HER2-sensitized dendritic cell (DC) study vaccine. This study vaccine is made from the participant's blood cells collected from a procedure called leukapheresis. Dendritic cells are immune cells that can tell the immune system to fight infection. In laboratory testing and from previous studies in participants, these cells may also help the immune system attack tumors such as breast cancer.

The purpose of this study is to test the ability of a breast MRI biopsy to accurately diagnose a complete tumor response to the neoadjuvant chemotherapy (NAC) that the patient just finished. Numerous studies have shown that MRI has the highest accuracy for diagnosing a complete tumor response. The investigator wants to see if in a certain group of women who's breast cancer is no longer visible on the post-treatment MRI that the biopsy specimens from a MRI guided biopsy will accurately diagnose a complete tumor response to treatment which may in the future make breast surgery unnecessary in some women.

In this study, the purpose of this study is to investigate whether prophylactic medical compression therapy in breast cancer patients receiving docetaxel adjuvant chemotherapy could reduce the incidence and severity of lymphedema in the upper limbs that received axillary lymph node resection (sentinel lymph node biopsy or axillary lymph node dissection).

This project intends to prospectively collect patients with suspected breast malignant tumors by ultrasound or mammography. After routine MRI scanning, all patients underwent diffusion spectrum imaging (DSI) sequence scanning. The inclusion criteria were as follows: (1) breast cancer was confirmed by surgery or biopsy. (2) pathologically diagnosis of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor 2 (HER-2), Ki-67, and lymphatic vessel invasion (LVI) status in breast cancer. (3) routine MRI and DSI scans were performed within one week before the pathologic examination. The exclusion criteria were as follows: (1) patients who had received treatment before DSI scanning; (2) patients who underwent breast tumor biopsy within two weeks before DSI image acquisition; (3) pathology results of breast masses were other diseases besides breast cancer. (4) post-processing of DSI data cannot be performed due to poor image quality, such as motion artifacts. Breast MRI data were collected on a 3T MR scanner (Magnetom skyra, Siemens Healthcare, Erlangen, Germany). All participants used standardized breast MRI scanning schemes, including T2 weighted imaging (T2WI), T1 weighted imaging (T1WI), diffusion-weighted imaging (DWI), DSI, and contrast dynamic enhancement (DCE). A total of 22 GSI quantitative parameters were derived from NeudiLab software that is based on the open-source platform DIPY (diffusion imaging in Python, http://nipy.org/dipy). The correlation between DSI quantitative parameters and pathological indexes (i.e., ER, PR, HER-2, Ki-67, and LVI) was evaluated by Spearman correlation analysis. The independent predictors of GSI quantitative parameters for different pathologic characteristics discrimination in breast cancer were determined by the logistic regression analysis. The predictive performance of DSI quantitative parameters for difference pathologic classifications was assessed by the receiver operating characteristic (ROC) curves and their respective area under the curves (AUCs).

This clinical trial examines the integration of cancer genetic testing in various ethnic populations. Studying individuals and families at risk of cancer may help identify cancer genes and other persons at risk. The information from this study may provide an opportunity for cancer risk stratification and individualized screening in these ethnic populations.

This early phase I studies how well a new 3D ultrasound (3D-US) imaging technology works in evaluating axillary lymph nodes in patients with breast cancer. Ultrasound uses high-frequency sound waves to generate images of the body.

Nipple discharge is one of the common symptoms of breast disease patients. Nipple discharge can be divided into physiological and pathological nipple discharge (PND). Among patients with PND symptoms who undergo biopsy, 5%-21% of them are malignant, and the risk of malignancy increases with age. The primary diagnostic imaging methods for PND patients include mammography and breast ultrasound. Nearly half of PND patients who undergo traditional mammography and ultrasound examination have negative findings, but this does not rule out the presence of malignant lesions. Central duct excision is the gold standard for PND diagnosis, but invasive surgery without imaging guidance can lead to some complications. Magnetic Resonance Ductography (MRD), which uses water imaging technology to visualize the inside of the duct without contrast injection, can show imaging features of ductal lesions such as filling defects, irregularities of duct walls, and ductal obstruction. However, previous studies have shown that the signal-to-noise ratio of MRD images needs to be improved. Microscopy coil has the characteristics of small voxels and high spatial resolution, making it suitable for high signal-to-noise ratio imaging of small superficial structures. This provides a hardware foundation for improving the quality of MRD images. Therefore, in this study, the investigators aim to use the 3T MR instrument and microscopy coil to perform non-invasive high-resolution Magnetic Resonance Ductography (HR-MRD) on PND patients to evaluate the ability of HR-MRD to detect PND causes and the imaging features of duct-related lesions on HR-MRD, to assist in the accurate diagnosis and treatment of PND.

To learn if piflufolastat F18 can be used in imaging scans for patients with breast cancer, HCC, or pancreatic cancer