Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Gerben E Breimer"'
Autor:
Charlotte I Stroes, Sandor Schokker, Mohammed Khurshed, Stephanie O van der Woude, Ron AA Mathôt, Marije Slingerland, Judith de Vos-Geelen, Massimo Zucchetti, Cristina Matteo, Erik van Dijk, Bauke Ylstra, Victor Thijssen, Sarah Derks, Tesfay Godefa, Willemieke Dijksterhuis, Gerben E Breimer, Otto M van Delden, Rob HA Verhoeven, Sybren L Meijer, Maarten F Bijlsma, Hanneke WM van Laarhoven
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 14 (2022)
Purpose: Regorafenib monotherapy, a multikinase inhibitor of angiogenesis, tumor microenvironment, and tumorigenesis, showed promising results in gastric cancer. We aimed to assess the tolerability of regorafenib and paclitaxel in patients with advan
Externí odkaz:
https://doaj.org/article/aed72a810b8b46b7a7487a5ebbe32545
Autor:
Hilde J.G. Smits, Edwin Bennink, Lilian N. Ruiter, Gerben E. Breimer, Stefan M. Willems, Jan W. Dankbaar, Marielle E.P. Philippens
Publikováno v:
Translational Oncology, Vol 48, Iss , Pp 102051- (2024)
In this study, we present a method that enables voxel-by-voxel comparison of in vivo imaging to immunohistochemistry (IHC) biomarkers. As a proof of concept, we investigated the spatial correlation between dynamic contrast enhanced (DCE-)CT parameter
Externí odkaz:
https://doaj.org/article/7f3ffab99c6a46f1a57a9a9397a01029
Publikováno v:
Acta Oto-Laryngologica Case Reports, Vol 8, Iss 1, Pp 108-112 (2023)
AbstractPatients with Inflammatory Bowel Disease (IBD) are at increased risk of developing malignancies. IBD patients with oral cavity cancer may have reduced survival compared with the general population. This article describes two IBD patients, non
Externí odkaz:
https://doaj.org/article/bb347a043b9242f8a21eafb372fb0bf2
Autor:
W. F. Julius Scheurleer, Weibel W. Braunius, Bernard M. Tijink, Luuk M. Janssen, Frank A. Pameijer, Gerben E. Breimer, Ernst J. Smid, Remco de Bree, Lot A. Devriese, Johannes A. Rijken
Publikováno v:
Case Reports in Otolaryngology, Vol 2023 (2023)
Background. Sinonasal teratocarcinosarcoma is a rare, aggressive malignancy located almost exclusively in the nasal cavity, paranasal sinuses, or anterior skull base. Histopathological diagnosis can be challenging due to the heterogeneous composition
Externí odkaz:
https://doaj.org/article/c1821ff4500b4fe3823705ab9a65c914
Autor:
Hilde J.G. Smits, Justin E. Swartz, Marielle E.P. Philippens, Remco de Bree, Johannes H.A.M. Kaanders, Sjors A. Koppes, Gerben E. Breimer, Stefan M. Willems
Publikováno v:
Journal of Pathology Informatics, Vol 14, Iss , Pp 100198- (2023)
Objectives: This study aimed to validate a digital image analysis (DIA) workflow for automatic positive cell detection and positive region delineation for immunohistochemical hypoxia markers with a nuclear (hypoxia-inducible factor 1α [HIF-1α]) and
Externí odkaz:
https://doaj.org/article/96e24757cb57430cb275f68a69b3f140
Autor:
W. F. Julius Scheurleer, Homan Dehnad, W. Weibel Braunius, Luuk M. Janssen, Bernard M. Tijink, Gerben E. Breimer, Ernst J. Smid, Lot A. Devriese, Remco de Bree, Mischa de Ridder, Johannes A. Rijken
Publikováno v:
Brachytherapy. 22:221-230
Cancer of the nasal vestibule is a rare type of malignancy constituting less than one percent of all head and neck cancers. These tumors are typically diagnosed at an early stage. Both surgery and radiotherapy provide excellent oncological results, b
Autor:
Rachel N. Flach, Nina L. Fransen, Andreas F. P. Sonnen, Tri Q. Nguyen, Gerben E. Breimer, Mitko Veta, Nikolas Stathonikos, Carmen van Dooijeweert, Paul J. van Diest
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1042 (2022)
Building on a growing number of pathology labs having a full digital infrastructure for pathology diagnostics, there is a growing interest in implementing artificial intelligence (AI) algorithms for diagnostic purposes. This article provides an overv
Externí odkaz:
https://doaj.org/article/502f2b0a48f846a283879d2656e78a6b
Autor:
Carleen M. E. M. Adriaansens, Rob Noorlag, Wouter P. Visscher, Remco de Bree, Gerben E. Breimer, Robert J. J. van Es
Publikováno v:
Head & Neck. 45:983-992
Autor:
Carleen M. E. M. Adriaansens, Klijs J. de Koning, Remco de Bree, Jan Willem Dankbaar, Gerben E. Breimer, Robert J. J. van Es, Rob Noorlag
Publikováno v:
Head & Neck. 45:647-657
Image-guided surgery could help obtain clear (≥5.0 mm) resection margins. This feasibility study investigated ultrasound-guided resection accuracy of buccal mucosa squamous cell carcinoma (BMSCC).MRI and ultrasound measurements of tumor thickness w
Autor:
Garry L. Corthals, Frederike J. Bemelman, Francesco Fontana, Azam S Nurmohamed, Arjan D. van Zuilen, Maarten Naesens, Peter Boor, Jürgen Floege, Gerben E. Breimer, Tri Q. Nguyen, Joris J. T. H. Roelofs, Adeyemi Adefidipe Abiola, Barbara M. Klinkhammer, Saskia von Stillfried, Hessel Peters-Sengers, Sonja Djudjaj, Tobias T Pieters, Rianne Hofstraat, Roman D. Bülow, Sandrine Florquin, Jesper Kers, Jakob Nikolas Kather, David L Hölscher
Publikováno v:
The Lancet Digital Health, 4(1), 18-26. ELSEVIER
The Lancet Digital Health, 4(1), e18-e26. Elsevier Ltd
The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9
Kers, J, Bülow, R D, Klinkhammer, B M, Breimer, G E, Fontana, F, Abiola, A A, Hofstraat, R, Corthals, G L, Peters-Sengers, H, Djudjaj, S, von Stillfried, S, Hölscher, D L, Pieters, T T, van Zuilen, A D, Bemelman, F J, Nurmohamed, A S, Naesens, M, Roelofs, J J T H, Florquin, S, Floege, J, Nguyen, T Q, Kather, J N & Boor, P 2022, ' Deep learning-based classification of kidney transplant pathology : a retrospective, multicentre, proof-of-concept study ', The Lancet Digital Health, vol. 4, no. 1, pp. e18-e26 . https://doi.org/10.1016/S2589-7500(21)00211-9
The Lancet Digital Health, 4(1), e18-e26. Elsevier Ltd
The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9
Kers, J, Bülow, R D, Klinkhammer, B M, Breimer, G E, Fontana, F, Abiola, A A, Hofstraat, R, Corthals, G L, Peters-Sengers, H, Djudjaj, S, von Stillfried, S, Hölscher, D L, Pieters, T T, van Zuilen, A D, Bemelman, F J, Nurmohamed, A S, Naesens, M, Roelofs, J J T H, Florquin, S, Floege, J, Nguyen, T Q, Kather, J N & Boor, P 2022, ' Deep learning-based classification of kidney transplant pathology : a retrospective, multicentre, proof-of-concept study ', The Lancet Digital Health, vol. 4, no. 1, pp. e18-e26 . https://doi.org/10.1016/S2589-7500(21)00211-9
The lancet / Digital health 4(1), e18-e26 (2022). doi:10.1016/S2589-7500(21)00211-9
Published by The Lancet, London
Published by The Lancet, London