We assessed the quality of life (QoL) associated with patient's characteristics and different cancer treatments among Chinese breast cancer survivors in Taiwan. A cross‐sectional survey was conducted in 2017 where 193 patients with hormone receptor‐positive/human epidermal growth factor receptor‐2‐negative metastatic breast cancer were recruited. Three QoL questionnaires were administered: European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ‐C30), its breast cancer supplementary measure (QLQ‐BR23) and EQ‐5D‐5L. Multiple linear regression was performed to assess the association between QoL and cancer treatments, with adjustment for patient's characteristics. The mean age of study participants was 55.52 years. Simple linear regression showed that cancer stage and receiving chemotherapy were significantly associated with QoL scores (p < 0.05). Significant adverse effects of chemotherapy on QoL were found among early‐stage cancer women (i.e., I or II), including poor cognitive and sexual functioning, and a higher symptom burden (i.e., dyspnoea, constipation, systematic therapy side effects). Multiple linear regression also revealed that receiving chemotherapy was significantly associated with poor QoL (e.g., lower functional health and higher symptom burden measured by the QLQ‐BR23), compared to none chemotherapy (p < 0.05). Receiving chemotherapy was associated with poor QoL, especially among early‐stage breast cancer patients.

This work presents a digital image processing approach with a unique hive triangle pattern by integrating subpixel analysis for noncontact measurement of structural dynamic response data. Feasibility of proposed approach is demonstrated based on numerical simulation of a photography experiment. According to those results, the measured time-history displacement of simulated image correlates well with the numerical solution. A small three-story frame is then mounted on a small shaker table, and a linear variation differential transformation (LVDT) is set on the second floor. Experimental results indicate that the relative error between data from LVDT and analyzed data from digital image correlation is below 0.007%, 0.0205 in terms of frequency and displacement, respectively. Additionally, the appropriate image block affects the estimation accuracy of the measurement system. Importantly, the proposed approach for evaluating pattern center and size is highly promising for use in assigning the adaptive block for a digital image correlation method.

No abstract