ArticleMedical science monitor : international medical journal of experimental and clinical research2017
Correlation Factors Analysis of Breast Cancer Tumor Volume Doubling Time Measured by 3D-Ultrasound.
Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Has tumor doubling time in breast cancer changed over the past 80 years? A systematic review.Cancer medicine · 2021Pooled it
- Effectiveness of 3-dimensional shoulder ultrasound in the diagnosis of rotator cuff tears: A meta-analysis.Medicine · 2018Pooled it
- Time-Varying Hormonal Treatment and Metastasis-Free Survival Among ER+ Breast Cancer Patients: A Natural History Modelling Approach.Statistics in medicine · 2026Article
- Tumour growth rate and invasive interval cancer characteristics in a UK breast cancer screening population.European radiology · 2025Article
- Predicting Tumor Volume Doubling Time and Progression-Free Survival in Untreated Patients from Patient-Derived-Xenograft (PDX) Models: A Translational Model-Based Approach.The AAPS journal · 2024Article
- Breast cancer: emerging principles of metastasis, adjuvant and neoadjuvant treatment from cancer registry data.Journal of cancer research and clinical oncology · 2023Review
- Estimating Distributions of Breast Cancer Onset and Growth in a Swedish Mammography Screening Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
- Value of Histogram of Gray-Scale Ultrasound Image in Differential Diagnosis of Small Triple Negative Breast Invasive Ductal Carcinoma and Fibroadenoma.Cancer management and research · 2022Article
- Prediction of Prognostic Factors and Genotypes in Patients With Breast Cancer Using Multiple Mathematical Models of MR Diffusion Imaging.Frontiers in oncology · 2022Article
- Article
- Bridging over troubled waters: the doubling time and histological subtypes of thymic epithelial tumors.Journal of thoracic disease · 2020Article
- Cancer recurrence times from a branching process model.PLoS computational biology · 2019Article
- The tumor doubling time is a useful parameter for predicting the histological type of thymic epithelial tumors.Surgery today · 2019Article
- Spontaneous Slowing and Regressing of Tumor Growth in Childhood/Adolescent Papillary Thyroid Carcinomas Suggested by the Postoperative Thyroglobulin-Doubling Time.Journal of thyroid research · 2018Article
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6 authors.
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Abstract
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 (P>0.05). Patients grouped by age, axillary lymphatic metastasis, histological differentiation, and Nottingham prognostic index (NPI) score exhibited significantly different TVDT (P<0.05). On the contrary, patients with different menstrual conditions, breast cancer family history, or pathological types presented similar TVDT (P>0.05). 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 (P<0.05). 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.
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