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Active clinical trials for "Breast Cancer Lymphedema"

Results 101-105 of 105

Study the Usefulness of Bio-impedance Spectroscopy in the Early Assessment of Breast Cancer Related...

LymphedemaBreast Cancer Stage II1 more

The goal of the study is to investigate the use of bio-impedance spectroscopy in the assessment of breast cancer related lymphoedema in patients operated with lumpectomy or mastectomy, axillary lymph node dissection and radiotherapy compared to inverse water volumetry. As a control group, patients with colon rectal cancer are used to compare volumetric and spectometric changes during follow-up.

Completed10 enrollment criteria

COMPRESSION GARMENTS in BREAST CANCER-RELATED LYMPHEDEMA

Breast Cancer Lymphedema

Breast cancer is the most common cancer in women. It is an important health problem that has been increasingly encountered in recent years. With the advances in treatment, the survival time after breast cancer is prolonged, and as a result, many women face certain diseases during this period. One of these diseases, breast cancer-related lymphedema, is characterized by abnormal accumulation of protein-rich fluid in the interstitial tissue, which can occur at any time after breast cancer surgery or radiotherapy and is a major cause of morbidity. The aims of the treatment of lymphedema are to reduce edema, prevent the increase of edema, prevent infections, protect skin integrity, range of motion and limb functions. Complete Decongestive Therapy (CDT) is recommended by the International Society of Lymphology (ISL) as the international contemporary standard treatment for BCRL(breast cancer related lymphedema) treatment. CDT is a treatment method that includes manual lymph drainage (MLD), multilayer bandaging (Multilayer, short-stretch compression bandaging), exercise, skin care and compression garment. Compression garments, which are the most important component of the second phase of CDT, reduce the interstitial pressure of the extremity with the pressure they apply, and reduce capillary filtration and lymph production. Regular use of compression garments is very important during the treatment process. It is recommended that compression garments be worn during all waking hours. The success of compression garments is closely related to the patient's compliance with the treatment. Patients with lymphedema may need to wear compression garments for life. Wearing compression garments may have some difficulties for patients and this may affect compliance and adherence to treatment. The aim of this study is to investigate the compliance to compression garments and related factors among patients with breast cancer-related lymphedema.

Completed5 enrollment criteria

Reliability of Subcutaneous Echogenicity (SEG) Grade and Subcutaneous Echo-free Space (SEFS) Grade...

Postmastectomy Lymphedema Syndrome

The aims of this study is to determine the inter- and intra-rater reliability of SEG and SEFS grade systems for postmastectomy lymphedema.

Completed3 enrollment criteria

Effect of Upper Limb Posture on Limb Volume as Expressed in Circumference Measurement in Healthy...

Breast CancerLymphedema

Lymphedema is one side effect of breast cancer treatment. Measuring the edematous limb enables monitoring changes in the lymphedema and the effect of treatment. Circumference measurement using a measuring tape is an inexpensive simple method and therefore useful and widespread in clinical practice. Circumference measurement performance varies amongst therapists and lacks uniformity in the literature. To date, the effect of different limb positions on measurement results has not been examined. Purpose: The purpose of this study is to describe 1) the effect of position on upper limb volume measurement by using circumference measurement and 2) to examine whether the difference between positions are similar in the upper limbs of the same woman, and 3) between groups of women who are in the intensive phase, in the maintenance phase of lymphedema treatment and women without lymphedema

Unknown status7 enrollment criteria

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

Breast Cancer Related LymphedemaDeep Learning

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.

Unknown status2 enrollment criteria
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