Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zelda Paquier"'
Autor:
Guus Grimbergen, Hidde Eijkelenkamp, Louk M.W. Snoeren, Rana Bahij, Uffe Bernchou, Erik van der Bijl, Hanne D. Heerkens, Shawn Binda, Sylvia S.W. Ng, Christelle Bouchart, Zelda Paquier, Kerryn Brown, Richard Khor, Robert Chuter, Linnéa Freear, Alex Dunlop, Robert Adam Mitchell, Beth A. Erickson, William A. Hall, Paola Godoy Scripes, Neelam Tyagi, Jeremiah de Leon, Charles Tran, Seungjong Oh, Paul Renz, Andrea Shessel, Edward Taylor, Martijn P.W. Intven, Gert J. Meijer
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 47, Iss , Pp 100797- (2024)
Background and purpose: Treatment planning for MR-guided stereotactic body radiotherapy (SBRT) for pancreatic tumors can be challenging, leading to a wide variation of protocols and practices. This study aimed to harmonize treatment planning by devel
Externí odkaz:
https://doaj.org/article/071a76da20144668a7eb39a5afdc91e1
Autor:
Ayoub Mokhtari, Roberto Casale, Zohaib Salahuddin, Zelda Paquier, Thomas Guiot, Henry C. Woodruff, Philippe Lambin, Jean-Luc Van Laethem, Alain Hendlisz, Maria Antonietta Bali
Publikováno v:
Diagnostics, Vol 14, Iss 7, p 712 (2024)
Purpose. This multicenter retrospective study aims to identify reliable clinical and radiomic features to build machine learning models that predict progression-free survival (PFS) and overall survival (OS) in pancreatic ductal adenocarcinoma (PDAC)
Externí odkaz:
https://doaj.org/article/6e649826eb8640619648ca585bff6ec5
Autor:
Ayoub Mokhtari, Roberto Casale, Zelda Paquier, Thomas Guiot, Zohaib Salahuddin, Henry Woodruff, Philippe Lambin, Jean-Luc Van Laethem, Maria Bali
Publikováno v:
EMJ Radiology. :43-45
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f3c0871d8a8726c6f6e5da0ce58d64
https://doi.org/10.33590/emjradiol/10309894
https://doi.org/10.33590/emjradiol/10309894
Autor:
Zelda, Paquier, Shih-Li, Chao, Giacomo, Bregni, Ana Veron, Sanchez, Thomas, Guiot, Jennifer, Dhont, Akos, Gulyban, Hugo, Levillain, Francesco, Sclafani, Nick, Reynaert, Maria Antonietta, Bali
Publikováno v:
Physica Medica. 103:138-146
The aim of this study was to perform a quantitative quality assurance of diffusion-weighted MRI to assess the variability of the mean apparent diffusion coefficient (ADC) and other radiomic features across the scanners involved in the REGINA trial.Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d1d1a8b309485f5fba51eaef2db40ec
https://doi.org/10.1016/j.ejmp.2022.10.009
https://doi.org/10.1016/j.ejmp.2022.10.009
Autor:
Zelda Paquier, Shih-Li Chao, Anaïs Acquisto, Chifra Fenton, Thomas Guiot, Jennifer Dhont, Hugo Levillain, Akos Gulyban, Maria Antonietta Bali, Nick Reynaert
Publikováno v:
Biomedical Physics & Engineering Express. 8:065008
Introduction. Radiomics is a promising imaging-based tool which could enhance clinical observation and identify representative features. To avoid different interpretations, the Image Biomarker Standardisation Initiative (IBSI) imposed conditions for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb52767b3a46a5ce32c27c85758aafc3
https://doi.org/10.1088/2057-1976/ac8e6f
https://doi.org/10.1088/2057-1976/ac8e6f