Observation of tumor microvessels that are controlled by blood flow in breast cancer

2015 ◽  
Vol 106 (17) ◽  
pp. 173703 ◽  
Author(s):  
H. Ishida ◽  
T. Andoh ◽  
S. Akiguchi ◽  
T. Kyoden ◽  
T. Hachiga
2021 ◽  
Vol 11 (6) ◽  
pp. 1608-1615
Author(s):  
Ding Zuopeng ◽  
Liu Weiyong ◽  
Hu Chunmei ◽  
Wang Tao ◽  
Wang Mingming

The incidence of breast cancer ranks first among female malignant tumor. With the increase of the sensitivity of color Doppler ultrasound blood flow, the blood flow distribution in and around the tumor can be clearly displayed, and the analysis of hemodynamic parameters is provided, which provides convenience for the study of tumor blood flow characteristics. Studies have shown that tumor cells can secrete a substance called angiogenesis factor, which makes the tumor site form a rich vascular network to promote tumor growth and metastasis. The tumor has many new blood vessels, abnormal structure, thin wall, lack of muscle layer, and is prone to form arteriovenous rash. These characteristics provide a pathological basis for color Doppler flow imaging (CDFI) for the diagnosis of breast cancer. This article discusses the role of two-dimensional sonographic features in the differential diagnosis of benign and malignant breast masses, CDFI was used to study the blood flow distribution and hemodynamic characteristics in benign and malignant breast masses; explore the value of blood flow characteristics and blood flow parameters in the differential diagnosis of breast masses. The experimental results show that the detection rate of blood flow signals and the classification of blood flow signals in the malignant group are higher than those in the benign group, mainly level II and III blood flow, and the irregular branched blood flow is more common, especially when the tumor appears penetrating blood flow supports the diagnosis of malignancy. PSV, RI and PI have a certain differential meaning in the diagnosis of benign and malignant breast masses. PSV, RI and PI of malignant masses are higher than benign masses. For tumors without obvious necrosis, the larger the tumor diameter, the richer the blood flow and the higher the blood flow grade is. The malignant tumors have more blood flow than the benign ones.


2002 ◽  
Vol 29 (7) ◽  
pp. 719-727 ◽  
Author(s):  
David A Mankoff ◽  
Lisa K Dunnwald ◽  
Julie R Gralow ◽  
Georgiana K Ellis ◽  
Erin K Schubert ◽  
...  

2021 ◽  
Vol 11 (7) ◽  
pp. 1887-1894
Author(s):  
Chen Cheng ◽  
Chunhong Hu ◽  
Shengli Zhou ◽  
Hongyan Zhao ◽  
Ming Yu

Breast cancer is one of the most common malignant tumors that seriously endangers women’s physical and mental health and even life-threatening. With the increasing incidence of breast malignant tumors year by year, people are increasingly concerned about the health of female breasts. However, due to the lack of primary prevention methods for breast cancer, the key to improving the cure rate of breast cancer and reducing mortality is early detection, early diagnosis, and early treatment. Hemodynamics embodies the characteristics and laws of the movement of blood and its components in the body. Clinically, monitoring of hemodynamic indicators is usually used to reveal the physiological or pathological changes of the body and understand the development process of the disease. The blood flow in the tumor tissue is high-speed and high-impedance. CDFI can show the distribution of blood flow in the mass. The highest peak velocity (PSV), resistance index (RI) and pulsatility index (PI) of systolic phase can be measured by sampling. This study use contrast-enhanced ultrasound (CEUS) combined with color energy Doppler flow imaging (CDFI) to explore the hemodynamic information of the main blood supply arteries and masses of the breast, analyze the abnormal hemodynamic information of tumors and surrounding tissues, and explore the blood in the breast, the clinical value of hydrodynamics in the qualitative diagnosis of breast masses.


1989 ◽  
Vol 10 (4) ◽  
pp. 337-341 ◽  
Author(s):  
M Nitzan ◽  
Y Mahler ◽  
J Roberts ◽  
O Khan ◽  
E Gluck ◽  
...  

2008 ◽  
Vol 7 (6) ◽  
pp. 814-819 ◽  
Author(s):  
Sebastian Strieth ◽  
Donata Strelczyk ◽  
Martin E. Eichhorn ◽  
Marc Dellian ◽  
Siiri Luedemann ◽  
...  

Radiology ◽  
2002 ◽  
Vol 223 (2) ◽  
pp. 558-565 ◽  
Author(s):  
Jean-Paul Delille ◽  
Priscilla J. Slanetz ◽  
Eren D. Yeh ◽  
Daniel B. Kopans ◽  
Leoncio Garrido

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