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Esther M. Heuts

Researcher at Maastricht University

Publications -  62
Citations -  1704

Esther M. Heuts is an academic researcher from Maastricht University. The author has contributed to research in topics: Breast cancer & Breast reconstruction. The author has an hindex of 24, co-authored 56 publications receiving 1207 citations. Previous affiliations of Esther M. Heuts include Maastricht University Medical Centre.

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Contrast-enhanced spectral mammography in patients referred from the breast cancer screening programme.

TL;DR: CESM increases diagnostic performance of conventional mammography, even in lower prevalence patient populations such as referrals from breast cancer screening, and is feasible in the workflow of referrals from routine breast screening.
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'Reconstruction: before or after postmastectomy radiotherapy?' A systematic review of the literature.

TL;DR: A definite implant reconstruction placed before radiotherapy limits the rate of complications and for autologous reconstruction, less fibrosis is seen if reconstruction is performed after radiotherapy, but timing had no significant impact on total complication rate.
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The Quality of Tumor Size Assessment by Contrast-Enhanced Spectral Mammography and the Benefit of Additional Breast MRI

TL;DR: Quality of tumor size measurement using CESM is good and matches the quality of these measurement assessed by breast MRI, which did not observe any advantage of performing an additional breast MRI after CESM in any of the cases.
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Internal mammary lymph drainage and sentinel node biopsy in breast cancer - A study on 1008 patients.

TL;DR: Evaluation of IMSNs improves nodal staging in breast cancer, and true IM node-negative patients can be spared the morbidity associated with adjuvant radiotherapy.
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The role of MRI in axillary lymph node imaging in breast cancer patients: a systematic review.

TL;DR: The diagnostic performance of some MRI protocols for excluding axillary lymph node metastases approaches the NPV needed to replace SLNB, however, current observations are based on studies with heterogeneous study designs and limited populations.