An enhanced artificial intelligence breast MRI interpretation system

  • Research type

    Research Study

  • Full title

    A comparative single-centre study to evaluate an enhanced artificial intelligence breast MRI interpretation system in women over 20 with breast lesions

  • IRAS ID

    258617

  • Contact name

    Susann Wolfram

  • Contact email

    s.wolfram@tees.ac.uk

  • Sponsor organisation

    Teesside University

  • Eudract number

    2019-000067-25

  • Clinicaltrials.gov Identifier

    NCT03829423

  • Duration of Study in the UK

    1 years, 3 months, 31 days

  • Research summary

    Breast cancer is the most common type of cancer in women worldwide, with nearly 1.7 million new cases diagnosed in 2015. In the UK, one in five cases of breast cancer results in a fatality.

    The IntelliScan project aims to develop a technological solution that addresses a significant healthcare challenge in the UK. IntelliScan will develop a software system that will be able to interpret breast MR images automatically in order to identify potential breast cancers. In this first study, the system's user interface as well as the breast MRI interpretation algorithm will be developed using existing MRI scans. Existing MRI scans with known breast anomalies will be used as training dataset to develop the decision-making basis for the algorithm. The system will then be tested using existing MRI scans without information about possible anomalies and results will be compared to results from the software system currently in use. In addition, the user-friendliness of the system's user interface will also be evaluated.

  • REC name

    North West - Greater Manchester South Research Ethics Committee

  • REC reference

    19/NW/0257

  • Date of REC Opinion

    24 Jun 2019

  • REC opinion

    Further Information Favourable Opinion