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Mei-Lin Ah-See

Researcher at Northwood University

Publications -  21
Citations -  869

Mei-Lin Ah-See is an academic researcher from Northwood University. The author has contributed to research in topics: Breast cancer & Dynamic contrast-enhanced MRI. The author has an hindex of 11, co-authored 21 publications receiving 765 citations. Previous affiliations of Mei-Lin Ah-See include Mount Vernon Hospital & The Breast Cancer Research Foundation.

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Journal ArticleDOI

Early Changes in Functional Dynamic Magnetic Resonance Imaging Predict for Pathologic Response to Neoadjuvant Chemotherapy in Primary Breast Cancer

TL;DR: Changes in breast tumor microvessel functionality as depicted by DCE-MRI early on after starting anthracycline-based neoadjuvant chemotherapy can predict final clinical and pathologic response.
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6 versus 12 months of adjuvant trastuzumab for HER2-positive early breast cancer (PERSEPHONE): 4-year disease-free survival results of a randomised phase 3 non-inferiority trial

Helena M. Earl, +117 more
- 29 Jun 2019 - 
TL;DR: 6-month trastuzumab treatment is shown to be non-inferior to 12-month treatment in patients with HER2-positive early breast cancer, with less cardiotoxicity and fewer severe adverse events, which support consideration of reduced duration trastzumab for women at similar risk of recurrence as to those included in the trial.
Journal ArticleDOI

Use of dynamic contrast-enhanced MR imaging to predict survival in patients with primary breast cancer undergoing neoadjuvant chemotherapy

TL;DR: Dynamic contrast-enhanced MR imaging parameters, in conjunction with traditional prognostic factors, have the potential to be prognostic biomarkers for disease-free and overall survival in primary breast cancer.
Journal ArticleDOI

Vascular characterisation of triple negative breast carcinomas using dynamic MRI

TL;DR: TNBC possess characteristic features on imaging, with lower extracellular space (higher cell density) and higher contrast agent wash-out rate (higher vascular permeability) suggesting a distinctive phenotype detectable by MRI.