Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification

Autor: Roelof J. Beukinga, Floris B. Poelmann, Gursah Kats-Ugurlu, Alain R. Viddeleer, Ronald Boellaard, Robbert J. De Haas, John Th. M. Plukker, Jan Binne Hulshoff

Publikováno v: Diagnostics, Vol 12, Iss 5, p 1070 (2022)

Background: Approximately 26% of esophageal cancer (EC) patients do not respond to neoadjuvant chemoradiotherapy (nCRT), emphasizing the need for pre-treatment selection. The aim of this study was to predict non-response using a radiomic model on bas

Externí odkaz: https://doaj.org/article/b2dc45d3e77041d2977f89b5cc1f45ba

Addition of HER2 and CD44 to F-18-FDG PET-based clinico-radiomic models enhances prediction of neoadjuvant chemoradiotherapy response in esophageal cancer

Autor: Da Wang, Veronique E.M. Mul, Johannes G. M. Burgerhof, Robert P. Coppes, Arend Karrenbeld, Willemieke P M Dijksterhuis, John T. M. Plukker, Roelof J Beukinga, Hette Faber, Riemer H. J. A. Slart

Publikováno v: European Radiology
European radiology, 31(5), 3306-3314. Springer Verlag
European radiology, 31(5), 3306-3314. Springer
European Radiology. SPRINGER

Objectives To assess the complementary value of human epidermal growth factor receptor 2 (HER2)-related biological tumor markers to clinico-radiomic models in predicting complete response to neoadjuvant chemoradiotherapy (NCRT) in esophageal cancer p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::458fdc99d82405017d04655569e28739
https://hdl.handle.net/11370/2d2ec2dd-f4da-4e1e-b610-eeb2b7cdd00c

Prediction of Response to Neoadjuvant Chemotherapy and Radiation Therapy with Baseline and Restaging F-18-FDG PET Imaging Biomarkers in Patients with Esophageal Cancer

Autor: Roelof J. Beukinga, Walter Noordzij, Jan Binne Hulshoff, Gursah Kats-Ugurlu, John T. M. Plukker, Riemer H. J. A. Slart, Veronique E.M. Mul

Publikováno v: Radiology, 287(3), 983-992. Radiological Society of North America Inc.
Radiology, 287(3):172229, 983-992. RADIOLOGICAL SOC NORTH AMERICA

Purpose: To assess the value of baseline and restaging fluorine 18 (F-18) fluorodeoxyglucose (FDG) positron emission tomography (PET) radiomics in predicting pathologic complete response to neoadjuvant chemotherapy and radiation therapy (NCRT) in pat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e42a61f376357ae7b508ae08b1d4af27
https://research.rug.nl/en/publications/dbeb6d77-6637-4476-af6d-3b71861f00bb

The Image Biomarker Standardization Initiative: standardized quantitative radiomics for highthroughput image-based phenotyping

Autor: Olivier Morin, Mahmoud A. Abdalah, Steffen Löck, Sandy Napel, Lisanne V. van Dijk, Arvind Rao, Muhammad Siddique, Jacopo Lenkowicz, Ronald Boellaard, Issam El Naqa, Jairo Socarras Fernandez, Marta Bogowicz, Spyridon Bakas, Jonas Scherer, Are Losnegård, Marie-Charlotte Desseroit, Robert J. Gillies, Gary Cook, Martin Vallières, Vincenzo Valentini, Alex Zwanenburg, Philip Whybra, Sarthak Pati, Sebastian Echegaray, Matthias Guckenberger, Christos Davatzikos, Emiliano Spezi, Roberto Gatta, Nicola Dinapoli, Daniela Thorwarth, Luca Boldrini, Roel J H M Steenbakkers, Esther G.C. Troost, Joost J. M. van Griethuysen, Irène Buvat, Sung Min Ha, Fiona Lippert, Hugo J.W.L. Aerts, Klaus H. Maier-Hein, Fanny Orlhac, Cuong V. Dinh, Stefan Leger, Philippe Lambin, Ralph T.H. Leijenaar, Fabian Isensee, Mathieu Hatt, Vicky Goh, Christian Richter, Roelof J. Beukinga, Henning Müller, Elisabeth Pfaehler, Nanna M. Sijtsema, Floris H. P. van Velden, Aditya Apte, Michael Götz, Arman Rahmim, Vincent Andrearczyk, Stephanie Tanadini-Lang, Adrien Depeursinge, Christophe Nioche, Andriy Fedorov, Saeed Ashrafinia, Taman Upadhaya

Publikováno v: Radiology 295(2020)2, 328-338
Radiology
Radiology, Radiological Society of North America, 2020, 295 (2), pp.328-338. ⟨10.1148/radiol.2020191145⟩
Radiology, 295(2), 328-338. RADIOLOGICAL SOC NORTH AMERICA
Zwanenburg, A, Vallières, M, Abdalah, M A, Aerts, H J W L, Andrearczyk, V, Apte, A, Ashrafinia, S, Bakas, S, Beukinga, R J, Boellaard, R, Bogowicz, M, Boldrini, L, Buvat, I, Cook, G J R, Davatzikos, C, Depeursinge, A, Desseroit, M C, Dinapoli, N, Dinh, C V & Echegaray, S 2020, ' The image biomarker standardization initiative : Standardized quantitative radiomics for high-throughput image-based phenotyping ', Radiology, vol. 295, no. 2, pp. 328-338 . https://doi.org/10.1148/radiol.2020191145
Radiology, vol 295, iss 2
Radiology, 295(2), 328-338. Radiological Society of North America, Inc.
Radiology, 2020, 295 (2), pp.328-338. ⟨10.1148/radiol.2020191145⟩
Radiology, 295(2), 328-338. Radiological Society of North America Inc.

International audience; Background Radiomic features may quantify characteristics present in medical imaging. However, the lack of standardized definitions and validated reference values have hampered clinical use. Purpose To standardize a set of 174

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a07c005740a02571d8d74ebfc9433efe
https://www.hzdr.de/publications/Publ-30321-1

Repeatability of

Autor: Elisabeth, Pfaehler, Roelof J, Beukinga, Johan R, de Jong, Riemer H J A, Slart, Cornelis H, Slump, Rudi A J O, Dierckx, Ronald, Boellaard

Publikováno v: Medical Physics

Background 18F‐fluoro‐2‐deoxy‐D‐Glucose positron emission tomography (18F‐FDG PET) radiomics has the potential to guide the clinical decision making in cancer patients, but validation is required before radiomics can be implemented in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::5ed9ddd2292cf52596edb353f31bde1f
https://pubmed.ncbi.nlm.nih.gov/30506687