Senior Researcher Associate

Department of Radiology, University of Cambridge School of Clinical Medicine.

Honorary NHS Consultant Radiologist

Specialty: Breast Imaging

Contact: Email: rw585@cam.ac.uk

Profile

Dr Ramona Woitek obtained her medical degree in 2008 at the Medical University of Vienna, Austria. Between 2008 and 2014, she was a Radiology registrar at the Department of Biomedical Imaging and Image-guided Therapy at the Medical University of Vienna. In 2015, she obtained her PhD in fetal MRI at the Medical University of Vienna.

Between 2014 and 2017, she completed subspecialty training at the Division of Breast Imaging at the Medical University of Vienna.

Her research at the University of Cambridge is focused on oncologic imaging:

Together with Prof Evis Sala and her group she is working on the integration of radiomics and circulating tumour DNA in patients with ovarian cancer and metastatic breast cancer. The aim is to improve response assessment and develop models to predict treatment response and patient survival.

• Ovarian cancer segmentation and tissue-specific sub-segmentation on CT images
• Integration of Radiomics and circulating tumour DNA (ctDNA) for the development of predictive and prognostic biomarkers on patients with ovarian cancer
• Metastatic breast cancer

Dr Ramona Woitek’s work on early breast cancer focuses on hyperpolarised carbon-13 MRI and how this novel technique can be used to assess inter- and intratumoral heterogeneity and treatment response. This work is undertaken together with Dr Ferdia Gallagher and his group.

• Imaging breast cancer using hyperpolarized carbon-13 MRI 

Dr Ramona Woitek’s work is closely tied to the Mark Foundation Institute for Integrated Cancer Medicine and the CRUK Cambridge Centre.

Radiogenomics and Quantitative Imaging Group

Professional Education

Current Research

Breast Imaging, Radiogenomics, Ovarian Cancer Imaging

Last 5 Publications

Radiomics of computed tomography and magnetic resonance imaging in renal cell carcinoma-a systematic review and meta-analysis.
Ursprung S, Beer L, Bruining A, Woitek R, Stewart GD, Gallagher FA, Sala E.
Eur Radiol. 2020 Feb 14. doi: 10.1007/s00330-020-06666-3. [Epub ahead of print]

Imaging breast cancer using hyperpolarized carbon-13 MRI.
Gallagher FA, Woitek R, McLean MA, Gill AB, Manzano Garcia R, Provenzano E, Riemer F, Kaggie J, Chhabra A, Ursprung S, Grist JT, Daniels CJ, Zaccagna F, Laurent MC, Locke M, Hilborne S, Frary A, Torheim T, Boursnell C, Schiller A, Patterson I, Slough R, Carmo B, Kane J, Biggs H, Harrison E, Deen SS, Patterson A, Lanz T, Kingsbury Z, Ross M, Basu B, Baird R, Lomas DJ, Sala E, Wason J, Rueda OM, Chin SF, Wilkinson IB, Graves MJ, Abraham JE, Gilbert FJ, Caldas C, Brindle KM.
Proc Natl Acad Sci U S A. 2020 Jan 28;117(4):2092-2098. doi: 10.1073/pnas.1913841117. Epub 2020 Jan 21.

Noninvasive Differentiation of Meningiomas and Dural Metastases Using Intratumoral Vascularity Obtained by Arterial Spin Labeling.
Furtner J, Oth I, Schöpf V, Nenning KH, Asenbaum U, Wöhrer A, Woitek R, Widhalm G, Kiesel B, Berghoff AS, Hainfellner JA, Preusser M, Prayer D.
Clin Neuroradiol. 2019 Jun 26. doi: 10.1007/s00062-019-00808-x. [Epub ahead of print]

Diffusion tensor imaging of the normal-appearing deep gray matter in primary and secondary progressive multiple sclerosis.
Woitek R, Leutmezer F, Dal-Bianco A, Furtner J, Kasprian G, Prayer D, Schöpf V.
Acta Radiol. 2020 Jan;61(1):85-92. doi: 10.1177/0284185119852735. Epub 2019 Jun 6. No abstract available.

Quantifying normal human brain metabolism using hyperpolarized [1-₁₃C]pyruvate and magnetic resonance imaging.
Grist JT, McLean MA, Riemer F, Schulte RF, Deen SS, Zaccagna F, Woitek R, Daniels CJ, Kaggie JD, Matys T, Patterson I, Slough R, Gill AB, Chhabra A, Eichenberger R, Laurent MC, Comment A, Gillard JH, Coles AJ, Tyler DJ, Wilkinson I, Basu B, Lomas DJ, Graves MJ, Brindle KM, Gallagher FA.
Neuroimage. 2019 Apr 1;189:171-179. doi: 10.1016/j.neuroimage.2019.01.027. Epub 2019 Jan 11.

5 Selected Publications

Imaging breast cancer using hyperpolarized carbon-13 MRI.
Gallagher FA, Woitek R, McLean MA, Gill AB, Manzano Garcia R, Provenzano E, Riemer F, Kaggie J, Chhabra A, Ursprung S, Grist JT, Daniels CJ, Zaccagna F, Laurent MC, Locke M, Hilborne S, Frary A, Torheim T, Boursnell C, Schiller A, Patterson I, Slough R, Carmo B, Kane J, Biggs H, Harrison E, Deen SS, Patterson A, Lanz T, Kingsbury Z, Ross M, Basu B, Baird R, Lomas DJ, Sala E, Wason J, Rueda OM, Chin SF, Wilkinson IB, Graves MJ, Abraham JE, Gilbert FJ, Caldas C, Brindle KM.
Proc Natl Acad Sci U S A. 2020 Jan 28;117(4):2092-2098. doi: 10.1073/pnas.1913841117. Epub 2020 Jan 21.

Quantifying normal human brain metabolism using hyperpolarized [1-₁₃C]pyruvate and magnetic resonance imaging.
Grist JT, McLean MA, Riemer F, Schulte RF, Deen SS, Zaccagna F, Woitek R, Daniels CJ, Kaggie JD, Matys T, Patterson I, Slough R, Gill AB, Chhabra A, Eichenberger R, Laurent MC, Comment A, Gillard JH, Coles AJ, Tyler DJ, Wilkinson I, Basu B, Lomas DJ, Graves MJ, Brindle KM, Gallagher FA.
Neuroimage. 2019 Apr 1;189:171-179. doi: 10.1016/j.neuroimage.2019.01.027. Epub 2019 Jan 11.

Radiomics of computed tomography and magnetic resonance imaging in renal cell carcinoma-a systematic review and meta-analysis.
Ursprung S, Beer L, Bruining A, Woitek R, Stewart GD, Gallagher FA, Sala E.
Eur Radiol. 2020 Feb 14. doi: 10.1007/s00330-020-06666-3. [Epub ahead of print]

MRI-based quantification of residual fibroglandular tissue of the breast after conservative mastectomies.
Woitek R, Pfeiler G, Farr A, Kapetas P, Furtner J, Bernathova M, Schöpf V, Clauser P, Marino MA, Pinker K, Baltzer PA, Helbich TH.
Eur J Radiol. 2018 Jul;104:1-7. doi: 10.1016/j.ejrad.2018.04.028. Epub 2018 Apr 26.

A simple classification system (the Tree flowchart) for breast MRI can reduce the number of unnecessary biopsies in MRI-only lesions.
Woitek R, Spick C, Schernthaner M, Rudas M, Kapetas P, Bernathova M, Furtner J, Pinker K, Helbich TH, Baltzer PAT.
Eur Radiol. 2017 Sep;27(9):3799-3809. doi: 10.1007/s00330-017-4755-6. Epub 2017 Mar 8.