Zobrazeno 1 - 10 of 77 pro vyhledávání: '"Stefanie J, Hectors"'
1
Akademický článek
4D flow MRI in abdominal vessels: prospective comparison of k-t accelerated free breathing acquisition to standard respiratory navigator gated acquisition
Autor: Octavia Bane, Daniel Stocker, Paul Kennedy, Stefanie J. Hectors, Emilie Bollache, Susanne Schnell, Thomas Schiano, Swan Thung, Aaron Fischman, Michael Markl, Bachir Taouli
Publikováno v: Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Volumetric phase-contrast magnetic resonance imaging with three-dimensional velocity encoding (4D flow MRI) has shown utility as a non-invasive tool to examine altered blood flow in chronic liver disease. Novel 4D flow MRI pulse sequences wi
Externí odkaz: https://doaj.org/article/91befae785304a019c37369a59393c28
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2
Akademický článek
Rapid stromal remodeling by short‐term VEGFR2 inhibition increases chemotherapy delivery in esophagogastric adenocarcinoma
Autor: Anne Steins, Remy Klaassen, Igor Jacobs, Matthias C. Schabel, Monique G. J. T. B. vanLier, Eva A. Ebbing, Stefanie J. Hectors, Sander W. Tas, Chrissta X. Maracle, Cornelis J. A. Punt, Maria Siebes, Jacques J. G. H. M. Bergman, Jan Paul Medema, Johanna W. Wilmink, Ron A. A. Mathot, Gustav J. Strijkers, Maarten F. Bijlsma, Hanneke W. M. vanLaarhoven
Publikováno v: Molecular Oncology, Vol 14, Iss 4, Pp 704-720 (2020)
Anti‐angiogenic agents combined with chemotherapy is an important strategy for the treatment of solid tumors. However, survival benefit is limited, urging the improvement of combination therapies. We aimed to clarify the effects of vascular endothe
Externí odkaz: https://doaj.org/article/4fc054b713b34feebcdc0f4ca8a8d073
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4
Akademický článek
Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
Autor: Stefanie J. Hectors, Mathilde Wagner, Octavia Bane, Cecilia Besa, Sara Lewis, Romain Remark, Nelson Chen, M. Isabel Fiel, Hongfa Zhu, Sacha Gnjatic, Miriam Merad, Yujin Hoshida, Bachir Taouli
Publikováno v: Scientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
Abstract Tumour heterogeneity poses a significant challenge for treatment stratification. The goals of this study were to quantify heterogeneity in hepatocellular carcinoma (HCC) using multiparametric magnetic resonance imaging (mpMRI), and to report
Externí odkaz: https://doaj.org/article/39f4514f50d24738a39c08b39ae94817
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7
Precision of MRI radiomics features in the liver and hepatocellular carcinoma
Autor: Bachir Taouli, Daniel Stocker, Stefanie J. Hectors, Paul Kennedy, Guillermo Carbonell, Olivier Gevaert, Maria El Homsi, Ammar Kirmani, Sara Lewis, Daniela Said, Pritam Mukherjee, Octavia Bane
Publikováno v: European Radiology. 32:2030-2040
To assess the precision of MRI radiomics features in hepatocellular carcinoma (HCC) tumors and liver parenchyma. The study population consisted of 55 patients, including 16 with untreated HCCs, who underwent two repeat contrast-enhanced abdominal MRI
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::76c33d4188f9332124453c1396c25c2a
https://doi.org/10.1007/s00330-021-08282-1
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8
Prostate heterogeneity correlates with clinical features on multiparametric MRI
Autor: Daniel Margolis, Stefanie J. Hectors, Elizabeth M. Sweeney, Jim C. Hu, Zihan Yang, Christine Chen
Publikováno v: Abdominal Radiology. 46:5369-5376
Prostate heterogeneity on multi-parametric MRI (mpMRI) may confound image interpretation by obscuring lesions; systematic biopsy may have a role in this context. To determine if prostate heterogeneity (1) correlates with clinical risk factors for pro
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::491bbdaa9d2f5c77d31c8f55163d29c7
https://doi.org/10.1007/s00261-021-03221-6
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9
Magnetic Resonance Imaging Radiomics‐Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI‐RADS 3 Lesions
Autor: Stefanie J. Hectors, Christine Chen, Johnson Chen, Jade Wang, Sharon Gordon, Miko Yu, Bashir Al Hussein Al Awamlh, Mert R. Sabuncu, Daniel J.A. Margolis, Jim C. Hu
Publikováno v: Journal of Magnetic Resonance Imaging. 54:1466-1473
Background While Prostate Imaging Reporting and Data System (PI-RADS) 4 and 5 lesions typically warrant prostate biopsy and PI-RADS 1 and 2 lesions may be safely observed, PI-RADS 3 lesions are equivocal. Purpose To construct and cross-validate a mac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::638afe9dcbc981ac49f80b6c8da87baa
https://doi.org/10.1002/jmri.27692
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10
Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response
Autor: Bachir Taouli, Yuri S. Velichko, Amir A. Borhani, Stefanie J. Hectors, Sara Lewis, Roberta Catania
Publikováno v: Abdominal Radiology. 46:3674-3685
Radiomics refers to the process of conversion of conventional medical images into quantifiable data ("features") which can be further mined to reveal complex patterns and relationships between the voxels in the image. These high throughput features c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3ebf057058d5eacb363e17914419d94b
https://doi.org/10.1007/s00261-021-03085-w
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