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Abstract #4610

Predicting response to neoadjuvant chemotherapy in breast cancer by biomechanics quantified with Magnetic Resonance Elastography.

Aaditya Sinha1,2, Patriek Jurrius1,2, Omar Darwish1, Belul Shida1,2, Zhane Peterson1,2, Hannah Jeffery1,2, Karen Welsh1,2, Anna Metafa3, John Spence2, Ashutosh Kothari1,2, Hisham Hamed2, Georgina Bitsakou2, Vasileios Karydakis2, Mangesh Thorat2, Elina Shaari2, Ali Sever2, Keshthra Satchithananda3, Tony Ng1, Anne Rigg2, Sarah Pinder1,2, Ralph Sinkus4,5, and Arnie Purushotham1,2
1School of Cancer and Pharmaceutical Sciences, King’s College London, London, United Kingdom, 2Guy’s and St Thomas Foundation Trust NHS, London, United Kingdom, 3King's College Hospital NHS Foundation Trust, London, United Kingdom, 4School of Biomedical Engineering & Imaging Sciences, King’s College London, London, United Kingdom, 5LVTS, Inserm U1148, University Paris Diderot, Paris, France

Synopsis

Keywords: Breast, Cancer, Breast, Response, Chemotherapy

Motivation: To achieve de-escalation of surgery in breast cancer patients having complete response after primary chemotherapy, we require better accuracy than the current gold standard DCE-MRI, which has a sensitivity of 80-90% and a specificity of 37-97%.

Goal(s): Investigate the diagnostic value of biomechanical imaging biomarkers quantified via MR-Elastography (MRE) for gauging complete pathological response non-invasively.

Approach: Incorporate MRE into standard Breast MRI protocol for NACT patients within standard-of-care MRI protocol.

Results: Biomechanical changes in conjunction with DCE MRI improved sensitivity to 94.4% and specificity to 95.7%, making this approach a promising new concept to predict complete response after NACT.

Impact: Quantifying biomechanics throughout chemotherapy via MR-Elastography (MRE) in conjunction with DCE-MRI in breast cancer patients undergoing primary chemotherapy yields more accurate results in predicting complete pathological response than current international imaging gold standard methods.

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Keywords