BackgroundImprovements in mobile telecommunication technologies have enabled clinicians to collect patient-reported outcome (PRO) data more frequently, but there is as yet limited evidence regarding the frequency with which PRO data can be collected via smartphone applications (apps) in breast cancer patients receiving chemotherapy.ObjectiveThe primary objective of this study was to determine the feasibility of an app for sleep disturbance-related data collection from breast cancer patients receiving chemotherapy. A secondary objective was to identify the variables associated with better compliance in order to identify the optimal subgroups to include in future studies of smartphone-based interventions.MethodsBetween March 2013 and July 2013, patients who planned to receive neoadjuvant chemotherapy for breast cancer at Asan Medical Center who had access to a smartphone app were enrolled just before the start of their chemotherapy and asked to self-report their sleep patterns, anxiety severity, and mood status via a smartphone app on a daily basis during the 90-day study period. Push notifications were sent to participants daily at 9 am and 7 pm. Data regarding the patients’ demographics, interval from enrollment to first self-report, baseline Beck’s Depression Inventory (BDI) score, and health-related quality of life score (as assessed using the EuroQol Five Dimensional [EQ5D-3L] questionnaire) were collected to ascertain the factors associated with compliance with the self-reporting process.ResultsA total of 30 participants (mean age 45 years, SD 6; range 35-65 years) were analyzed in this study. In total, 2700 daily push notifications were sent to these 30 participants over the 90-day study period via their smartphones, resulting in the collection of 1215 self-reporting sleep-disturbance data items (overall compliance rate=45.0%, 1215/2700). The median value of individual patient-level reporting rates was 41.1% (range 6.7-95.6%). The longitudinal day-level compliance curve fell to 50.0% at day 34 and reached a nadir of 13.3% at day 90. The cumulative longitudinal compliance curve exhibited a steady decrease by about 50% at day 70 and continued to fall to 45% on day 90. Women without any form of employment exhibited the higher compliance rate. There was no association between any of the other patient characteristics (ie, demographics, and BDI and EQ5D-3L scores) and compliance. The mean individual patient-level reporting rate was higher for the subgroup with a 1-day lag time, defined as starting to self-report on the day immediately after enrollment, than for those with a lag of 2 or more days (51.6%, SD 24.0 and 29.6%, SD 25.3, respectively; P=.03).ConclusionsThe 90-day longitudinal collection of daily self-reporting sleep-disturbance data via a smartphone app was found to be feasible. Further research should focus on how to sustain compliance with this self-reporting for a longer time and select subpopulations with higher rates of compliance for mobile health care.

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PurposeBreast cancer is one of the most frequent malignancies in Korean women, and its incidence is increasing at a rapid rate. Since 1996, the Korean Breast Cancer Society has collected nationwide breast cancer data using an online registration program and analyzed the data biennial. The purpose of this study was to evaluate the characteristics of Korean breast cancer and to analyze changes in these characteristics over the period of time.MethodsData were collected from 41 medical schools (74 hospitals), 24 general hospitals, and 6 private clinics. Data on the total number, gender, and age of newly-diagnosed breast cancer patients were collected through a questionnaire. Additional data were collected and analyzed from the online database.ResultsIn 2010, 16,398 patients in Korea were newly diagnosed with breast cancer. The crude incidence rate of female breast cancer was 67.2 cases per 100,000, and the median age at diagnosis was 49 years. The incidence of breast cancer was highest in patients aged between 40 and 49 years. Since 1996, there has been a significant increase in the proportion of early-stage cancers (detected in stage 1 or 2), the percentage of estrogen receptor-positive cancers, and in the proportion of patients receiving breast-conserving surgery.ConclusionThe incidence and clinical characteristics of Korean breast cancer are slowly changing to the patterns of Western countries. To understand changing patterns in the characteristics of Korean breast cancer, the nationwide data should be continuously analyzed.

PurposeBreast cancer is a group of diseases with different intrinsic molecular subtypes. However, anatomic staging alone is insufficient to determine prognosis. The present study analyzed the prognostic value of the American Joint Committee for Cancer (AJCC) 8th edition cancer staging system.MethodsThis retrospective, single-center study included breast cancer cases diagnosed from January 1999 to December 2008. We restaged patients based on the 8th edition AJCC cancer staging system and analyzed the prognostic value of the anatomic and prognostic staged groups. Follow-up data including disease-free survival (DFS), overall survival (OS), and clinic-pathological data were collected to analyze the differences between the two staging subgroups.ResultsThe study enrolled 7458 breast cancer patients with a 98.7-month median follow-up. Both the 5-year DFS and OS were significantly different between the anatomic and prognostic staged groups. The 5-year OS according to disease subtype was as follows: hormone receptor-positive/human epidermal growth factor receptor 2-negative [HR(+)/HER2(−)], 90.9%; HR(+)/HER2(+), 84.7%; HR(−)/HER2(+), 81.1%; and HR(−)/HER2(−), 80.9%. According to the anatomic stage, the 5-year OS of patients with stage III HR(+)/HER2(−) disease was superior to that of patients with stage II HR(−)/HER2(−) disease (88.3 vs. 86.5%). Per the prognostic stage, both the 5-year DFS and OS rates of patients with stage II HR(−)/HER2(−) disease were higher than those of patients with stage III HR(+)/HER2(−) disease (90.1 and 94.3% vs. 79.1 and 88.9%).ConclusionsThe prognostic staging system is a refined version of the anatomic staging system and encourages a more personalized approach to breast cancer treatment.

To evaluate the oncological outcomes of patients with breast cancer after nipple-sparing mastectomy (NSM)/skin-sparing mastectomy (SSM), followed by immediate reconstruction, as compared to conventional mastectomy (CM).SSM/NSM has been increasingly used to treat women with breast cancer who wish to preserve the overlying breast skin, but concern exist regarding its oncological safety due to the potential for residual breast tissue. We report our experience performing SSM/NSM for breast cancer treatment compared to CM with a long follow-up period.All consecutive patients who underwent mastectomy for breast cancer at Asan Medical Center between January 1993 and December 2008 were identified by retrospective medical chart review. The patients who underwent NSM/SSM, followed by immediate breast reconstruction with a pedicled transverse rectus abdominis musculocutaneous flap (TRAM), were compared to the patients who underwent CM in terms of breast-cancer specific survival (BCSS) rate, distant metastasis-free survival (DMFS) rate, and local recurrence (LR) rate.During the study period, 6028 patients underwent mastectomy for breast cancer. Of these, 1032 and 4996 underwent NSM/SSM with TRAM and CM, respectively. Their median follow-up durations were 94.4 (range, 8.1-220.2) and 110.8 (range, 6.1-262.0) months, respectively. Their 5 year BCSS rates were 95.4% and 88.1%, respectively (log-rank, P < .001). Their 5 year DMFS rates were 93.0% and 85.6%, respectively (log-rank, P < .001).Relative to CM, NSM/SSM, followed by immediate breast reconstruction, may be a viable and oncologically safe surgical treatment in selected patients with breast cancer.

The Korean Breast Cancer Society has constructed a nationwide breast cancer database through utilization of an online registration program. We have reported the basic facts about breast cancer in Korea in 2012, and analyzed the changing patterns in the clinical characteristics and management of breast cancer in Korea over the last 10 years. Data on patients newly diagnosed with breast cancer were collected for the year 2012 from 97 hospitals and clinics nationwide using a questionnaire survey, and from the online registry database. A total of 17,792 patients were newly diagnosed with breast cancer in 2012. The crude incidence rate of female breast cancer, including invasive cancer and in situ cancer, was 70.7 cases per 100,000 women. The median age at diagnosis was 51 years, and the proportion of postmenopausal women was higher than that of premenopausal women among those diagnosed with breast cancer. The proportion of cases of early breast cancer increased continuously, and breast-conserving surgery was performed in more cases than total mastectomy in that same year. The total number of breast reconstruction surgeries increased approximately 3-fold over last 10 years. The 5-year overall survival rate for all stages of breast cancer patients was extremely high. The clinical characteristics of breast cancer have changed in ways that resulted in high overall survival over the past 10 years in Korea, and the surgical management of the disease has changed accordingly. Analysis of nationwide registry data will contribute to a better understanding of the characteristics of breast cancer in Korea.

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In recent years, artificial intelligence (AI) technologies have greatly advanced and become a reality in many areas of our daily lives. In the health care field, numerous efforts are being made to implement the AI technology for practical medical treatments. With the rapid developments in machine learning algorithms and improvements in hardware performances, the AI technology is expected to play an important role in effectively analyzing and utilizing extensive amounts of health and medical data. However, the AI technology has various unique characteristics that are different from the existing health care technologies. Subsequently, there are a number of areas that need to be supplemented within the current health care system for the AI to be utilized more effectively and frequently in health care. In addition, the number of medical practitioners and public that accept AI in the health care is still low; moreover, there are various concerns regarding the safety and reliability of AI technology implementations. Therefore, this paper aims to introduce the current research and application status of AI technology in health care and discuss the issues that need to be resolved.