Correlation Factors Analysis of Breast Cancer Tumor Volume Doubling Time Measured by 3D-Ultrasound
| Autor: | Cheng Wang, Ji Dong, Yan Ding, Shuyin Zhang, Qiaoying Zhou, Wu Pengxi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Oncology
Adult medicine.medical_specialty Medical Technology Multivariate analysis Volume Doubling Time Breast Neoplasms Triple Negative Breast Neoplasms 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Breast cancer Imaging Three-Dimensional Internal medicine Medicine Humans 3D ultrasound skin and connective tissue diseases Aged Ultrasonography medicine.diagnostic_test business.industry Ultrasound Breast lumps General Medicine Middle Aged medicine.disease Tumor Burden 030220 oncology & carcinogenesis Multivariate Analysis Linear Models Nottingham Prognostic Index Female Microcalcification medicine.symptom business Factor Analysis Statistical |
| Zdroj: | Medical Science Monitor : International Medical Journal of Experimental and Clinical Research |
| ISSN: | 1643-3750 1234-1010 |
| Popis: | BACKGROUND Tumor volume doubling time (TVDT) is relatively important for breast cancer diagnosis and prognosis evaluation. This study aimed to analyze the related factors that may affect the TVDT of breast cancer by three-dimensional ultrasound (3D-US). MATERIAL AND METHODS A total of 69 breast cancer patients were selected. 3D-US was applied to measure the volume of breast lumps diagnosed as BI-RADS-US 4A by conventional ultrasound. TVDT was calculated according to the formula TVDT=DT×log2/log(V2/V1). Multiple linear regression analysis was performed to analyze the factors influencing breast cancer TVDT. RESULTS The mean and median TVDT were 185±126 (range 66-521) and 164 days, respectively. TVDT showed no statistical significance according to regular shape, coarse margin, spicule sign, peripheral hyperechoic halo, microcalcification, and different posterior echo characteristics (P0.05). Patients grouped by age, axillary lymphatic metastasis, histological differentiation, and Nottingham prognostic index (NPI) score exhibited significantly different TVDT (P0.05). On the contrary, patients with different menstrual conditions, breast cancer family history, or pathological types presented similar TVDT (P0.05). TVDT was obviously different in breast cancer with different ER, PR, Ki-67, and molecular subtyping but not HER2 expression. Multivariate analysis revealed that NPI score, axillary lymphatic metastasis, Ki-67, and molecular subtyping were risk factors of TVDT in breast cancer (P0.05). CONCLUSIONS Breast cancer TVDT was significantly correlated with NPI score, axillary lymphatic metastasis, Ki-67, and molecular subtyping. Triple-negative breast cancer exhibited the most rapid growth. |
| Databáze: | OpenAIRE |
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