Výsledky vyhledávání - "Suzan Vreemann"

Akademický článek

Interventional cardiac magnetic resonance imaging: current applications, technology readiness level, and future perspectives

Autor: Sophie C. Rier, Suzan Vreemann, Wouter H. Nijhof, Vincent J.H.M. van Driel, Ivo A.C. van der Bilt

Publikováno v: Therapeutic Advances in Cardiovascular Disease, Vol 16 (2022)

Background: Cardiac magnetic resonance (CMR) provides excellent temporal and spatial resolution, tissue characterization, and flow measurements. This enables major advantages when guiding cardiac invasive procedures compared with X-ray fluoroscopy or

Externí odkaz: https://doaj.org/article/fbc3ee1c63ec420d8640fb33cfa40b27

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Akademický článek

The added value of mammography in different age-groups of women with and without BRCA mutation screened with breast MRI

Autor: Suzan Vreemann, Jan C. M. van Zelst, Margrethe Schlooz-Vries, Peter Bult, Nicoline Hoogerbrugge, Nico Karssemeijer, Albert Gubern-Mérida, Ritse M. Mann

Publikováno v: Breast Cancer Research, Vol 20, Iss 1, Pp 1-12 (2018)

Abstract Background Breast magnetic resonance imaging (MRI) is the most sensitive imaging method for breast cancer detection and is therefore offered as a screening technique to women at increased risk of developing breast cancer. However, mammograph

Externí odkaz: https://doaj.org/article/5c0c15d61d354fc2a7d5477599bca24f

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Akademický článek

The correlation of background parenchymal enhancement in the contralateral breast with patient and tumor characteristics of MRI-screen detected breast cancers.

Autor: Suzan Vreemann, Albert Gubern-Mérida, Cristina Borelli, Peter Bult, Nico Karssemeijer, Ritse M Mann

Publikováno v: PLoS ONE, Vol 13, Iss 1, p e0191399 (2018)

Higher background parenchymal enhancement (BPE) could be used for stratification of MRI screening programs since it might be related to a higher breast cancer risk. Therefore, the purpose of this study is to correlate BPE to patient and tumor charact

Externí odkaz: https://doaj.org/article/ea1ae150eeff45af86967300ed80e7fd

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MRI Protocols for Breast Cancer Screening

Autor: Suzan Vreemann, Ritse M. Mann

Publikováno v: Breast MRI for High-risk Screening ISBN: 9783030412067

Magnetic resonance imaging (MRI) techniques for breast cancer screening keep evolving. At present, guidelines state only minimal requirements for breast MRI screening protocols. There is still no consensus on the optimal protocol to be used for breas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68b2e8061e887a8c212c77885ee04514
https://doi.org/10.1007/978-3-030-41207-4_4

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Influence of Risk Category and Screening Round on the Performance of an MR Imaging and Mammography Screening Program in Carriers of the BRCA Mutation and Other Women at Increased Risk

Autor: Margrethe Schlooz-Vries, Nico Karssemeijer, Peter Bult, Suzan Vreemann, Nicoline Hoogerbrugge, Carla H. van Gils, Albert Gubern-Mérida, Ritse M. Mann

Publikováno v: Radiology, 286, 2, pp. 443-451
Radiology, 286(2), 443. Radiological Society of North America Inc.
Radiology, 286, 443-451

Purpose: To evaluate the real-life performance of a breast cancer screening program for women with different categories of increased breast cancer risk with multiple follow-up rounds in an academic hospital with a large screening population. Material

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8219c7ca2afe0de118e795bb9f8edcbd
https://hdl.handle.net/2066/183935

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New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers

Autor: Nico Karssemeijer, Ritse M. Mann, Ioannis Sechopoulos, Albert Gubern-Mérida, Suzan Vreemann, Ramona W. Bouwman, Alejandro Rodriguez-Ruiz, Jonas Teuwen, Ruben E. van Engen

Publikováno v: Acta Radiologica (Stockholm, Sweden : 1987)
Acta Radiologica (Stockholm: 1921-62), 59, 1051-1059
Acta Radiologica (Stockholm: 1921-62), 59, 9, pp. 1051-1059

Background The image quality of digital breast tomosynthesis (DBT) volumes depends greatly on the reconstruction algorithm. Purpose To compare two DBT reconstruction algorithms used by the Siemens Mammomat Inspiration system, filtered back projection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6da0eb017350bd0d926b69f002cbd35c
http://europepmc.org/articles/PMC6088454

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Improvements of an objective model of compressed breasts undergoing mammography: Generation and characterization of breast shapes

Autor: Jan van Zelst, Suzan Vreemann, Steve Si Jia Feng, Ioannis Sechopoulos, Jessica R. Mann, Alejandro Rodriguez-Ruiz, Carl J. D'Orsi

Publikováno v: Medical Physics, 44, 6, pp. 2161-2172
Medical Physics, 44, 2161-2172

Item does not contain fulltext PURPOSE: To develop a set of accurate 2D models of compressed breasts undergoing mammography or breast tomosynthesis, based on objective analysis, to accurately characterize mammograms with few linearly independent para

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aa57391031ba3dffb843a9b4d4a5588
https://doi.org/10.1002/mp.12186

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Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program A retrospective cohort study

Autor: Albert Gubern-Mérida, Ritse M. Mann, Nico Karssemeijer, Suzan Vreemann, Peter Bult, Mireille J. M. Broeders, Mehmet Ufuk Dalmış

Publikováno v: European Radiology, 29, 4678-4690
European Radiology, 29, 9, pp. 4678-4690

The purpose of this study is to evaluate the predictive value of the amount of fibroglandular tissue (FGT) and background parenchymal enhancement (BPE), measured at baseline on breast MRI, for breast cancer development and risk of false-positive find

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcb0e98787c4aa1a3f83b51e0c001258
http://hdl.handle.net/2066/206247

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Artificial Intelligence-Based Classification of Breast Lesions Imaged With a Multiparametric Breast MRI Protocol With Ultrafast DCE-MRI, T2, and DWI

Autor: Suzan Vreemann, Nico Karssemeijer, Ritse M. Mann, Peter Bult, Albert Gubern-Mérida, Jonas Teuwen, Mehmet Ufuk Dalmış

Publikováno v: Investigative Radiology, 54, 325-332
Investigative Radiology, 54, 6, pp. 325-332

We investigated artificial intelligence (AI)-based classification of benign and malignant breast lesions imaged with a multiparametric breast magnetic resonance imaging (MRI) protocol with ultrafast dynamic contrast-enhanced MRI, T2-weighted, and dif

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839a74338db36275623a6a5ee67ab7d1
http://hdl.handle.net/2066/203897

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A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution

Autor: Suzan Vreemann, Albert Gubern-Mérida, Ritse M. Mann, Nico Karssemeijer, Bram Platel, Mehmet Ufuk Dalmış

Publikováno v: Medical Physics. 43:84-94

Purpose: With novel MRIsequences, high spatiotemporal resolution has become available in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast. Since benign structures in the breast can show enhancement similar to malignancies

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::23c76617fd5d9036e91f6a81c0719679
https://doi.org/10.1118/1.4937787

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