Clinical Trials Logo

Breast Neoplasms clinical trials

View clinical trials related to Breast Neoplasms.

Filter by:

NCT ID: NCT04829890 Completed - Breast Cancer Clinical Trials

Adjuvant Chemotherapy With Epirubicin, CMF, and Weekly Docetaxel or Weekly Paclitaxel in Patients With Resected High-risk Breast Cancer

Start date: February 2004
Phase:
Study type: Observational

This study was a transnational pooled analysis of biological material from patients with resected high risk breast cancer who had received adjuvant chemotherapy with epirubicin and cyclophosphamide followed by weekly docetaxel or weekly paclitaxel.

NCT ID: NCT04829643 Recruiting - Breast Cancer Clinical Trials

Axillary Staging in Early Breast Cancer: SNB vs PET/MRI

Start date: July 3, 2020
Phase: N/A
Study type: Interventional

The gold standard of surgical treatment for patients with early breast cancer (BC) is breast conservation and sentinel node biopsy (SNB). Ongoing randomized trials are evaluating to omit surgery at all when axillary imaging is negative. However, the available diagnostic tools still have several limitations in accuracy. Combining the specificity of PET, with the superior sensitivity of MRI, hybrid PET/MRI might be a non-invasive, one-stage, operator-independent imaging method to accurately define nodal status and, whenever negative, might replace surgery for axillary staging. The project includes patients with <3 cm BC without overt nodal involvement who will undergo PET/MRI prior to surgery. The primary aim is to compare the staging power between SNB and PET/MRI in detecting axillary lymph node macrometastases (>2 mm). Additionally, general concordance and diagnostic accuracy of PET/MRI vs SNB, eventual correlation with BC molecular subtypes and MRI findings will be evaluated.

NCT ID: NCT04829604 Recruiting - Clinical trials for HER2 Positive Metastatic Breast Cancer

ARX788 in HER2-positive, Metastatic Breast Cancer Subjects (ACE-Breast-03)

Start date: October 26, 2021
Phase: Phase 2
Study type: Interventional

A Global, Phase 2 Study of ARX788 in HER2-positive Metastatic Breast Cancer Patients who were previously treated with T-DXd

NCT ID: NCT04828044 Withdrawn - Breast Cancer Clinical Trials

Microwave Ablation of Breast Tumors

Start date: September 2012
Phase:
Study type: Observational

The purpose of this protocol is to pathologically evaluate the amount of destruction of cancer cells by Microwave Ablation (MWA) in primary breast tumors.

NCT ID: NCT04826367 Completed - Breast Cancer Clinical Trials

Relaxation Training by Tele-Rehabilitation in Patients With Breast Cancer

Start date: January 20, 2021
Phase: N/A
Study type: Interventional

With developing treatment methods, oncological rehabilitation has become an important complementary part of cancer treatment. Due to the COVID-19 pandemic, the use of tele-rehabilitation has gained importance in terms of access to physical therapy in individuals with breast cancer. Considering the home environment and the patient profile, it is thought that relaxation exercises can be used in the most comfortable and safe way for patients to reduce the side effects of chemotherapy and can be used as home exercises whose effectiveness has been reported in the literature. The purpose of our study; to examine the effects of relaxation exercises performed by tele-rehabilitation on functional capacity, fatigue, emotional state, quality of life, cognitive status, sleep quality and kinesiophobia in breast cancer patients receiving chemotherapy. A total of 64 patients, will randomly be allocated to the exercise group (n = 32) and to the control group (n = 32). Participants will be evaluated at first appoinment and after 6 weeks of intervention. 'Brief Pain Questionnaire' for assessment of pain as assessment methods, 'Fatigue Impact Scale' for fatigue assessment, 'Hospital Anxiety-Depression Scale' for emotional state, 'EORTC QLQ-C30 Quality of Life Scale' for quality of life assessment, 'The FACT-Cog questionnaire' for cognitive state assessment, the' Pitsburg Sleep Quality Scale 'for the measurement of sleep quality, and the' Tampa Kinesophobia Scale 'for the assessment of kinesiophobia will be used.

NCT ID: NCT04826211 Recruiting - Clinical trials for Breast Cancer Female

Axillary Staging in Node Positive Breast Cancer Patients Receiving PST. SNB vs PET/MRI

Start date: November 4, 2019
Phase: N/A
Study type: Interventional

The management of axillary nodes in breast cancer patients is a highly debated and evolving field. To date, an increasing number of patients with positive lymph nodes receives primary systemic therapy (PST) prior to surgery leading to down-staging axillary nodes in about 40% of women. However, the available diagnostic methods have several limitations in properly evaluating the response after treatment both in the breast and in the nodes and might lead to either under or over-treatment in these patients. Fully integrated scanners capable of simultaneous acquisition of PET and MRI have now been developed, with the potential to combine the specificity obtained by the functional imaging of PET, with the superior sensitivity of MRI, to provide higher diagnostic accuracy. It is expected that PET/MRI could better determine the response after PST to distinguish patients with negative versus patients with positive axillary nodes after medical treatment. As the excision of axillary nodes has mainly a staging purpose, the reliable identification of node negative patients might eventually spare women from unnecessary surgery. An accurate over-time and final imaging work-up might help choose the appropriate type of surgery according to the extent of nodal involvement: either SNB or complete axillary clearance.

NCT ID: NCT04826016 Withdrawn - Clinical trials for Advanced Breast Cancer

POL6326 (Balixafortide) Plus Nab-paclitaxel or Eribulin in Patients With HER2-negative Advanced Breast Cancer

POLTER
Start date: March 16, 2022
Phase: Phase 1/Phase 2
Study type: Interventional

This is a multicenter Phase Ib/II, open-label, dose-escalation study to optimize POL6326 (balixafortide) in combination with nab-paclitaxel or eribulin in patients with HER2-negative advanced breast cancer.

NCT ID: NCT04825444 Not yet recruiting - Ultrasonography Clinical Trials

Clinical Study of Vascular Imaging Evaluation of Computed Tomography Photoacoustic Breast Imaging System

Start date: March 31, 2021
Phase:
Study type: Observational

Using color Doppler ultrasound to screen people with breast masses. For the patients who show only a single mass on either side of the breast in color Doppler ultrasound, computer tomography photoacoustic breast imaging will be performed. By comparing the two modalities, the blood vessel imaging performance of the computer tomography photoacoustic breast imaging system developed by Union Photoacoustic technologies Co., Ltd is evaluated. The evaluation index of this experiment is the percentage of blood vessel pixels in the same region of interest (Region Of Interest, ROI) to the total area of the ROI.

NCT ID: NCT04824599 Completed - Breast Neoplasm Clinical Trials

Regional Anesthesia and Partial Mastectomy

Start date: February 19, 2021
Phase: N/A
Study type: Interventional

Pectoralis nerves plane block (PECS) first described by Blanco in 2011 has become part of postoperative pain management in breast surgery, thoracic surgery and thoracic trauma. The combination of low complication risk and easiness in mastering of PECS block has made it an interesting alternative to thoracic epidural anesthesia (TEDA) and paravertebral blockade (PVB) for pain treatment after breast surgery. Several studies showed good results when PECS was compared to PVB. PECS blockade however is a procedure requiring some resources in the operating room. An alternative approach is to inject local anesthetics (LA) in the operation field by the surgeon. The hypothesis' tested in this study is primarily: that PECS blockade is superior to LA being injected by surgeon in the operating field measured by end points such as: post-operative pain, post-operative analgesics use, post-operative nausea or vomiting (PONV) and length of stay in the post anesthesia care unit (PACU).

NCT ID: NCT04824378 Recruiting - Deep Learning Clinical Trials

Study on Classification Method of Indocyanine Green Lymphography Based on Deep Learning

BCRL;ICG
Start date: October 1, 2016
Phase:
Study type: Observational

Breast cancer related lymphedema (BCRL) is the most common complication after breast cancer surgery, which brings a heavy psychological and spiritual burden to patients. For a long time, the diagnosis and treatment of lymphedema has been a difficult point in domestic and foreign research. To a large extent, it is because most of the patients who come to see a doctor have already developed obvious lymphedema, and the internal lymphatic vessels have undergone pathological remodeling[1] Therefore, it is particularly important to detect early lymphedema and intervene in time through the use of sensitive screening tools. Indocyanine green (ICG) lymphangiography is a relatively new method, which can display superficial lymph flow in real time and quickly, and will not be affected by radioactivity [7]. In 2007, indocyanine green lymphography was used for the first time to evaluate the function of superficial lymphatic vessels. In 2011, Japanese scholars found skin reflux signs based on ICG lymphography data of 20 patients with lymphedema after breast cancer surgery, and they were roughly divided into three types according to their severity: splash, star cluster, and diffuse (Figure 1) [8]. Later, in 2016, a prospective study involving 196 people affirmed the value of ICG lymphography in the early diagnosis of lymphedema, and made the images of ICG lymphography more specific stages 0-5 [9], but The staging is still based on the three types of skin reflux symptoms found in a small sample clinical study in 2011, which is not completely applicable in actual clinical applications. In addition, when abnormal skin reflux symptoms appear on ICG lymphangiography, the pathophysiological changes that occur in the body lack research and exploration. Therefore, this research hopes to refine the image features of ICG lymphography through machine learning (deep learning), and establish a PKUPH model for diagnosing early lymphedema by staging the image features.