3D Simulation for Breast Conserving Therapy

  • Research type

    Research Study

  • Full title

    The use of 3D surface imaging to simulate appearance after breast conserving therapy

  • IRAS ID

    218564

  • Contact name

    Jennifer Rusby

  • Contact email

    jennifer.rusby@rmh.nhs.uk

  • Sponsor organisation

    Royal Marsden NHS Foundation Trust

  • Duration of Study in the UK

    6 years, 4 months, 1 days

  • Research summary

    Most women with breast cancer are able to have an operation to remove the cancer while preserving the breast (breast conserving therapy, BCT). Whilst cancer control is the most important goal, appearance of the breast after surgery has been shown to affect the quality of a woman’s life after treatment. This is even more relevant now that most women are surviving breast cancer.

    Before surgery, women are prepared for how they will look afterwards by having a discussion with the Surgeon or Breast Care Nurse. Sometimes women are shown two dimensional (2D) (standard) photographs of other women who had a similar operation. Patients claim that viewing photographs of other patients does not prepare them adequately for their own experience of surgery.

    Three dimensional (3D) digital photography is currently being used to predict the appearance of the breasts after enlargement surgery using specialist software. We intend to use a similar system to simulate a patient’s appearance after BCT for cancer. We believe that this will lead women to feel better prepared for their surgery, reduce stress, and lead to greater satisfaction with their breast after treatment.

    Our study invites women undergoing BCT to be assigned at random to one of three groups receiving standard care (discussion), a 2D photograph, or the 3D simulation before their operation.

    We will find out whether women feel better prepared for surgery and are more satisfied with their outcome if they are shown a simulated image of how their own breasts are likely to look.

    By taking 3D photographs of all study patients before and after surgery, a more accurate way to predict appearance after surgery will be developed for future patients.

  • REC name

    London - Hampstead Research Ethics Committee

  • REC reference

    17/LO/0399

  • Date of REC Opinion

    8 Mar 2017

  • REC opinion

    Favourable Opinion