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BackgroundElectronic patient-reported outcome (PROs) provides a fast and reliable assessment of a patient’s health-related quality of life. Nevertheless, using PRO in the traditional paper format is not practical for clinical practice due to the limitations associated with data analysis and management. A questionnaire app was developed to address the need for a practical way to group and use distress and physical activity assessment tools. ObjectiveThe purpose of this study was to assess the level of agreement between electronic (mobile) and paper-and-pencil questionnaire responses. MethodsWe validated the app version of the distress thermometer (DT), International Physical Activity Questionnaire (IPAQ), and Patient Health Questionnaire–9 (PHQ-9). A total of 102 participants answered the paper and app versions of the DT and IPAQ, and 96 people completed the PHQ-9. The study outcomes were the correlation of the data between the paper-and-pencil and app versions. ResultsA total of 106 consecutive breast cancer patients were enrolled and analyzed for validation of paper and electronic (app) versions. The Spearman correlation values of paper and app surveys for patients who responded to the DT questionnaire within 7 days, within 3 days, and on the same day were .415 (P

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.

We investigated the safety and performance of the Da Vinci SP single-port robot (SP robot) in nipple-sparing mastectomy (NSM) with immediate reconstruction. Medical records of 60 women aged ≥ 19 years who had undergone SP robot-assisted unilateral or bilateral NSM with immediate reconstruction between October 2020 and August 2021 were retrospectively analyzed. Stage I (31, 47.1%) was the most common pathological tumor-node-metastasis stage, followed by stages II (22, 33.3%), 0 (7, 10.6%), and III (4, 6.0%). The median total duration of NSM performed by a breast surgeon and reconstruction performed by a plastic surgeon was 154.0 min (interquartile range [IQR], 130.5–206.0 min) and 133.0 min (IQR, 80.0–255.0 min), respectively. The median length of hospitalization was 5.5 days (IQR, 3.0–9.0 days). Conversion to robotic multiport or open surgery was not required in any case. The median duration to drain removal was 5.0 days (IQR, 4.0–6.0 days). Recurrence of cancer within 6 months was not observed in any patient. SP robot-assisted NSM with immediate reconstruction was performed successfully in all patients without conversion to open surgery or the incidence of significant perioperative complications, indicating its precision and ability to minimize the size of the surgical incision. [ABSTRACT FROM AUTHOR]

In breast-conserving surgery (BCS), clear resection margins are crucial to prevent recurrence. Accurate imaging is vital for precise BCS, with MRI being the most accurate. However, MRI has limitations in identifying the exact extent of breast cancer in patients who have undergone neoadjuvant chemotherapy (NACT). A 3D-Printed Breast Surgical Guide (3DP-BSG) can address this issue by effectively pinpointing cancer extent in NACT patients, thus enhancing surgical accuracy. This retrospective single-institution cohort study focused on female patients diagnosed with invasive breast cancer who underwent NACT. Between November 2015 and October 2021, patients received BCS with the aid of a 3DP-BSG. Personalized 3DP-BSG targeted tumors by tracking changes in breast and tumor anatomy on MRI before and after NACT. 203 patients with invasive breast cancer were enrolled in the study. According to exclusion criteria, 197 patients were analyzed. The median follow-up period was 35.3 months (range: 2.2–96.8 months). 3 patients (1.5%) had positive resection margins. During the follow-up period, 17 patients (8.6%) experienced recurrence, with one patient (0.5%) confirmed local recurrences. The application of MRI-based 3DP-BSG is effective in achieving low positive margins and local recurrence in patients undergoing BCS after NACT, offering a promising approach for improving surgical outcomes. [ABSTRACT FROM AUTHOR]