Accuracy of 3D computer generated models from DBT images

  • Research type

    Research Study

  • Full title

    A retrospective study to investigate the accuracy of three-dimensional computer generated models derived from soft tissue abnormalities on Digital Breast Tomosynthesis Images for assessment of tumour volume and shape

  • IRAS ID

    203227

  • Contact name

    Yit Lim

  • Contact email

    yit.lim@uhsm.nhs.uk

  • Sponsor organisation

    University Hospital of South Manchester

  • Duration of Study in the UK

    0 years, 5 months, 2 days

  • Research summary

    This study will assess the accuracy of a computer programme in generating a 3D breast mass model from digital breast tomosynthesis (DBT) images. DBT is a technique used to acquire images from the breast and has been shown to have higher cancer detection rates when compared to standard x-ray mammography. There may be artefacts on DBT images which may make sometimes accurate measurement of tumour size difficult. This study will assess whether the application of this computer programme will make better assessment of the size and shape of breast cancer by comparing them with the standard measurements from DBT images and with the final histology results following surgery.

    This is a retrospective study in which all the women would have undergone standard treatment. Only anonymised images (which have been taken according to standard investigation) will be used for the analysis.

  • REC name

    North West - Preston Research Ethics Committee

  • REC reference

    16/NW/0457

  • Date of REC Opinion

    31 May 2016

  • REC opinion

    Favourable Opinion