Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks

Autor: Ragnhild Holden Helland, Alexandros Ferles, André Pedersen, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Tora Dunås, Marco Conti Nibali, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Rishi Nandoe Tewari, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Lisa M. Sagberg, Tommaso Sciortino, Tom Aalders, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Paulina L. Majewska, Asgeir S. Jakola, Ole Solheim, Philip C. De Witt Hamer, Ingerid Reinertsen, Roelant S. Eijgelaar, David Bouget

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)

Abstract Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images is essential. The cur

Externí odkaz: https://doaj.org/article/5ace2b3864664c65b8a85486587c3677

Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting

Autor: David Bouget, André Pedersen, Asgeir S. Jakola, Vasileios Kavouridis, Kyrre E. Emblem, Roelant S. Eijgelaar, Ivar Kommers, Hilko Ardon, Frederik Barkhof, Lorenzo Bello, Mitchel S. Berger, Marco Conti Nibali, Julia Furtner, Shawn Hervey-Jumper, Albert J. S. Idema, Barbara Kiesel, Alfred Kloet, Emmanuel Mandonnet, Domenique M. J. Müller, Pierre A. Robe, Marco Rossi, Tommaso Sciortino, Wimar A. Van den Brink, Michiel Wagemakers, Georg Widhalm, Marnix G. Witte, Aeilko H. Zwinderman, Philip C. De Witt Hamer, Ole Solheim, Ingerid Reinertsen

Publikováno v: Frontiers in Neurology, Vol 13 (2022)

For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods for tumor detection and gene

Externí odkaz: https://doaj.org/article/981e52963d18429e965bf6f6e6793861

Quantifying eloquent locations for glioblastoma surgery using resection probability maps

Autor: Wim Bouwknegt, Georg Widhalm, Frederik Barkhof, Lorenzo Bello, Domenique M J Müller, Michiel Wagemakers, Shawn L. Hervey-Jumper, W. Peter Vandertop, Wimar A. van den Brink, Marnix G. Witte, Pierre A. Robe, Tommaso Sciortino, Seunggu J. Han, Barbara Kiesel, Marco Conti Nibali, Julia Furtner, Philip C. De Witt Hamer, Marco Rossi, Roelant S Eijgelaar, Hilko Ardon, Martin Visser, Jan C. de Munck, Alfred Kloet, Albert J S Idema, Mitchel S. Berger, Aeilko H. Zwinderman

Publikováno v: Journal of Neurosurgery, 134(4), 1091-1101. AMER ASSOC NEUROLOGICAL SURGEONS
Müller, D M J, Robe, P A, Ardon, H, Barkhof, F, Bello, L, Berger, M S, Bouwknegt, W, van den Brink, W A, Nibali, M C, Eijgelaar, R S, Furtner, J, Han, S J, Hervey-Jumper, S L, Idema, A J S, Kiesel, B, Kloet, A, de Munck, J C, Rossi, M, Sciortino, T, Peter Vandertop, W, Visser, M, Wagemakers, M, Widhalm, G, Witte, M G, Zwinderman, A H & de Witt Hamer, P C 2021, ' Quantifying eloquent locations for glioblastoma surgery using resection probability maps ', Journal of Neurosurgery, vol. 134, no. 4, pp. 1091-1101 . https://doi.org/10.3171/2020.1.JNS193049, https://doi.org/10.3171/2020.1.JNS193049
Journal of neurosurgery, 134(4), 1091-1101. American Association of Neurological Surgeons
Journal of Neurosurgery, 134(4), 1091-1101. American Association of Neurological Surgeons

OBJECTIVE Decisions in glioblastoma surgery are often guided by presumed eloquence of the tumor location. The authors introduce the “expected residual tumor volume” (eRV) and the “expected resectability index” (eRI) based on previous decision

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b94b661ae7ecb647d4bd2d8f2b78f1f
https://doi.org/10.3171/2020.1.JNS193049

Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations

Autor: Lisa Millgård Sagberg, Marnix G. Witte, Domenique M J Müller, Frederik Barkhof, Marco Rossi, Wimar A. van den Brink, André Pedersen, Hilko Ardon, Pierre A. Robe, Ole Solheim, Ivar Kommers, Philip C. De Witt Hamer, Michiel Wagemakers, Georg Widhalm, Shawn L. Hervey-Jumper, Mitchel S. Berger, Aeilko H. Zwinderman, Roelant S Eijgelaar, Alfred Kloet, David Bouget, Albert J S Idema, Barbara Kiesel, Tommaso Sciortino, Even Hovig Fyllingen, Julia Furtner, Lorenzo Bello, Ingerid Reinertsen, Emmanuel Mandonnet, Marco Conti Nibali

Publikováno v: Cancers, 13(12):2854. MDPI AG
Cancers, Vol 13, Iss 2854, p 2854 (2021)
Cancers
Cancers, 13(12):2854. Multidisciplinary Digital Publishing Institute (MDPI)
Volume 13
Issue 12
Kommers, I, Bouget, D, Pedersen, A, Eijgelaar, R S, Ardon, H, Barkhof, F, Bello, L, Berger, M S, Nibali, M C, Furtner, J, Fyllingen, E H, Hervey-Jumper, S, Idema, A J S, Kiesel, B, Kloet, A, Mandonnet, E, Müller, D M J, Robe, P A, Rossi, M, Sagberg, L M, Sciortino, T, van den Brink, W A, Wagemakers, M, Widhalm, G, Witte, M G, Zwinderman, A H, Reinertsen, I, Solheim, O & de Witt Hamer, P C 2021, ' Glioblastoma surgery imaging—reporting and data system: Standardized reporting of tumor volume, location, and resectability based on automated segmentations ', Cancers, vol. 13, no. 12, 2854 . https://doi.org/10.3390/cancers13122854

Simple Summary Neurosurgical decisions for patients with glioblastoma depend on tumor characteristics in the preoperative MR scan. Currently, this is based on subjective estimates or manual tumor delineation in the absence of a standard for reporting

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb58ae80635bdc52131f43017886079e
https://doi.org/10.3390/cancers13122854

Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task

Autor: Marco Rossi, Lisa Millgård Sagberg, Ole Solheim, Frederik Barkhof, Wimar A. van den Brink, Ingerid Reinertsen, Mitchel S. Berger, Emmanuel Mandonnet, Shawn L. Hervey-Jumper, Lorenzo Bello, Aeilko H. Zwinderman, Marco Conti Nibali, David Bouget, Barbara Kiesel, André Pedersen, Philip C. De Witt Hamer, Pierre A. Robe, Georg Widhalm, Ivar Kommers, Roelant S Eijgelaar, Albert J S Idema, Tommaso Sciortino, Alfred Kloet, Michiel Wagemakers, Julia Furtner, Even Hovig Fyllingen, Marnix G. Witte, Hilko Ardon, Domenique M J Müller

Publikováno v: Cancers
Cancers, 13(18):4674. Multidisciplinary Digital Publishing Institute (MDPI)
Cancers, Vol 13, Iss 4674, p 4674 (2021)
Volume 13
Issue 18
Bouget, D, Eijgelaar, R S, Pedersen, A, Kommers, I, Ardon, H, Barkhof, F, Bello, L, Berger, M S, Nibali, M C, Furtner, J, Fyllingen, E H, Hervey-Jumper, S, Idema, A J S, Kiesel, B, Kloet, A, Mandonnet, E, Müller, D M J, Robe, P A, Rossi, M, Sagberg, L M, Sciortino, T, Van den Brink, W A, Wagemakers, M, Widhalm, G, Witte, M G, Zwinderman, A H, Reinertsen, I, De Witt Hamer, P C & Solheim, O 2021, ' Glioblastoma Surgery Imaging-Reporting and Data System : Validation and Performance of the Automated Segmentation Task ', Cancers, vol. 13, no. 18, 4674 . https://doi.org/10.3390/cancers13184674
Cancers, 13(18):4674. MDPI AG

Simple Summary Neurosurgical decisions for patients with glioblastoma depend on visual inspection of a preoperative MR scan to determine the tumor characteristics. To avoid subjective estimates and manual tumor delineation, automatic methods and stan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da0ed0f4e43e1a9ee779a912fc14e2b0
https://hdl.handle.net/11250/2994498