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Leveraging Turbidity and Thromboelastography for Complementary Clot Characterization
Published on: June 4, 2020
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Thromboelastogram and coagulation function index: relevance for female breast cancer
Qiongle Peng1, Jinmei Zhu2, Xiaoling Ren3
1Department of Blood Transfusion, Affiliated Hospital of Jiangsu University, Zhenjiang, China.
Frontiers in Oncology
|August 1, 2024
Summary
Thromboelastogram (TEG) and coagulation tests reveal significant differences in breast cancer patients, aiding in predicting secondary bleeding disorders. These findings highlight TEG
Area of Science:
- Oncology
- Hematology
- Medical Diagnostics
Background:
- Screening and postoperative intervention for breast tumors are crucial for effective diagnosis and treatment.
- Reliable diagnostic and screening methods are essential for managing breast disease progression.
Purpose of the Study:
- To explore the predictive value of thromboelastogram (TEG), routine platelet (PLT) count, and coagulation function indicators in patients with breast diseases for secondary bleeding disorders.
- To analyze differences in coagulation parameters between benign and malignant breast diseases.
Main Methods:
- 131 patients with breast diseases were selected.
- Thromboelastogram (TEG), routine platelet (PLT) count, and coagulation function indicators were determined.
- Receiver operating curve (ROC) analysis was used to evaluate predictive value.
Main Results:
- Malignant breast disease group showed lower reaction (R) and coagulation (K) times, but higher coagulation angle (α), maximum amplitude (MA), coagulation index (CI), fibrinogen (FIB), and D-dimer (D-D) compared to the benign group.
- MA and FIB values were statistically significant (p < 0.05) between benign and malignant groups.
- ROC analysis indicated significant predictive value for CI and α angle in secondary bleeding disorders.
Conclusions:
- Coagulation tests reveal significant differences in breast cancer patients compared to those with benign breast diseases.
- TEG combined with conventional coagulation indicators shows potential value in predicting secondary bleeding disorders in breast cancer patients.

