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Updated: Mar 10, 2026

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
Validating a digital recovery tool for autologous breast reconstruction
Richard M Kwasnicki1, Louise de Galbert2, Katherine Poon2
1Department of Surgery and Cancer, Imperial College London, London, UK; Department of Plastic and Reconstructive Surgery, Imperial College Healthcare NHS Trust, London, UK.
Background:
Recent research aims to leverage technology to further understand surgical recovery by using continuous data. Traditional metrics of readmission, flap failure, and patient-reported outcome measures are limited by poor accuracy and subjectivity. We aimed to validate smartphone-derived physical activity data to objectively measure and analyze trends in recovery following deep inferior epigastric perforator (DIEP) flap breast reconstruction.
Methods:
A single-center, retrospective study was conducted. Eligible participants who underwent DIEP reconstruction downloaded a bespoke smartphone application, which retrieved data from 1 month preoperatively to 12 months postoperatively. Physical activity was compared and validated against wearable activity monitor data from a previous study. Temporal trends were visualized using mean daily activity values over predefined intervals. Univariable linear regression assessed associations between clinical variables and short-term recovery.
Results:
Forty-one patients were included in the study. Wearable activity monitor and smartphone datasets (n=10) showed a positive correlation (0.6379, p=0.0105) demonstrating concurrent validity. Analysis of recovery in DIEP patients (n=34) demonstrated a median return to baseline activity at 27 days (IQR 12 days). Physical activity decreased after DIEP, with mean daily activity dropping to 18% of baseline in the first 2 weeks (SD=11%, p<0.0001) before improving to 107% at 8-12 weeks (SD=78%, p=0.9999). Immediate postoperative reconstruction (p=0.046) and lack of postoperative complications (p=0.0063), were short-term predictors of physical activity.
Conclusion:
This study validates smartphone physical activity as an objective recovery metric in DIEP reconstruction. Future applications include developing recovery prediction models for shared decision-making, implementing perioperative interventions, and postoperative monitoring.
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