Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Rebecca Geach

1PUBLICATIONS

6CO-AUTHORS

Clinical midwifery

Featured researcher

Get your video featured.

Publish with JoVE

Featured researcher

Get your video featured.

Publish with JoVE

Publications (1)

Sort by Publication Date:

|Sep 29, 2025

FAST MRI: DYAMOND trial protocol (can an abbreviated MRI scan detect breast cancers missed by mammography for screening clients with average mammographic density attending their first screening mammogram?)-a diagnostic yield study within the NHS population-risk breast screening programme.

Lyn Isobel Jones, Rebecca Geach, Abi Loose

Pageof 1

Frequent Collaborators

1 joint publications

Lyn Isobel Jones

1 joint publications

Mark Halling-Brown

1 joint publications

Sam Harding

1 joint publications

Sarah Vinnicombe

1 joint publications

Abeer M Shaaban

1 joint publications

Sian Taylor-Phillips

Frequent Collaborators

1 joint publications

Lyn Isobel Jones

1 joint publications

Mark Halling-Brown

1 joint publications

Sam Harding

1 joint publications

Sarah Vinnicombe

Top Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on : Dec 15, 2014

See more related videos

Top Related Videos

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on : Dec 15, 2014

See more related videos