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Analysis of Correlated Factors Affecting Tumor Volume Doubling Time of Breast Cancer / 实用医学杂志
The Journal of Practical Medicine ; (24): 2955-2958, 2016.
Article in Chinese | WPRIM | ID: wpr-502884
ABSTRACT
Objective To measure volume of breast cancer , calculate tumor volume doubling time (TVDT), and analyze the correlated factors affecting TVDT using three-dimensional ultrasound (3D-US). Methods We applied 3D-US to measure the volume of breast cancer of BI-RADS-US 4A classified by conventional ultrasound. The breast cancer case scanned by 3D-US at least twice (the interval is 3 months at least) without any medical intervention were included in the study. We calculated TVDT according to the formula, and analyzed the affecting factors of TVDT using multiple linear regression. Results Sixty-nine cases were enrolled in the study. The TVDT of breast cancer were from 66 to 521 days , in an average of 185 ± 126 days and the median time of 164 days. We found that ① there were no statistics significances in TVDT between different breast cancer pattern , smoothing border lines , speculated sign , hyperechoic halo , microcalcification and different rear echo (P > 0.05). ② TVDT of different age groups, lymph node metastasis, pathological grade and NPI score were significantly different (P 0.05). ③ TVDT of patients with different expression of ER, PR and Ki-67, molecular typing showed statistically difference (P 0.05). ④ multi-factor analysis showed that the NPI score, lymph node metastasis, Ki-67 and molecular typing of breast cancer were relative factors in TVDT (P < 0.05). Conclusions The NPI score , lymph node metastasis , Ki-67 and molecular typing significantly correlate with TVDT of breast cancer. Triple-negative breast cancer in molecular typing has the fastest growth rate.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: The Journal of Practical Medicine Year: 2016 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: The Journal of Practical Medicine Year: 2016 Type: Article