Literature DB >> 29598835

Why validation of prognostic models matters?

Alex Zwanenburg1, Steffen Löck2.   

Abstract

Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as to demonstrate methods to generate generalisable models.
Copyright © 2018 Elsevier B.V. All rights reserved.

Keywords:  Biomarkers; Prognostic models; TRIPOD; Validation

Mesh：

Year:  2018        PMID： 29598835     DOI： 10.1016/j.radonc.2018.03.004

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN： 0167-8140            Impact factor:   6.280


  15 in total

1.  External validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer patients treated with chemoradiotherapy.

Authors:  François Lucia; Dimitris Visvikis; Martin Vallières; Marie-Charlotte Desseroit; Omar Miranda; Philippe Robin; Pietro Andrea Bonaffini; Joanne Alfieri; Ingrid Masson; Augustin Mervoyer; Caroline Reinhold; Olivier Pradier; Mathieu Hatt; Ulrike Schick
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-12-07       Impact factor: 9.236

2.  Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis.

Authors:  Alex Zwanenburg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-06-25       Impact factor: 9.236

Review 3.  How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts.

Authors:  Burak Kocak; Ece Ates Kus; Ozgur Kilickesmez
Journal:  Eur Radiol       Date:  2020-10-01       Impact factor: 5.315

4.  Comparison of patient stratification by computed tomography radiomics and hypoxia positron emission tomography in head-and-neck cancer radiotherapy.

Authors:  Jairo A Socarrás Fernández; David Mönnich; Sara Leibfarth; Stefan Welz; Alex Zwanenburg; Stefan Leger; Steffen Löck; Christina Pfannenberg; Christian La Fougère; Gerald Reischl; Michael Baumann; Daniel Zips; Daniela Thorwarth
Journal:  Phys Imaging Radiat Oncol       Date:  2020-07

5.  Impact of suboptimal dosimetric coverage of pretherapeutic 18F-FDG PET/CT hotspots on outcome in patients with locally advanced cervical cancer treated with chemoradiotherapy followed by brachytherapy.

Authors:  François Lucia; Vincent Bourbonne; Dorothy Gujral; Gurvan Dissaux; Omar Miranda; Maelle Mauguen; Olivier Pradier; Ronan Abgral; Ulrike Schick
Journal:  Clin Transl Radiat Oncol       Date:  2020-05-11

6.  Use of Baseline 18 F-FDG PET/CT to Identify Initial Sub-Volumes Associated With Local Failure After Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer.

Authors:  François Lucia; Omar Miranda; Ronan Abgral; Vincent Bourbonne; Gurvan Dissaux; Olivier Pradier; Mathieu Hatt; Ulrike Schick
Journal:  Front Oncol       Date:  2020-05-07       Impact factor: 6.244

7.  Challenges and caveats of a multi-center retrospective radiomics study: an example of early treatment response assessment for NSCLC patients using FDG-PET/CT radiomics.

Authors:  Janna E van Timmeren; Sara Carvalho; Ralph T H Leijenaar; Esther G C Troost; Wouter van Elmpt; Dirk de Ruysscher; Jean-Pierre Muratet; Fabrice Denis; Tanja Schimek-Jasch; Ursula Nestle; Arthur Jochems; Henry C Woodruff; Cary Oberije; Philippe Lambin
Journal:  PLoS One       Date:  2019-06-03       Impact factor: 3.240

8.  Independent validation of tumour volume, cancer stem cell markers and hypoxia-associated gene expressions for HNSCC after primary radiochemotherapy.

Authors:  Annett Linge; Stefan Schmidt; Fabian Lohaus; Constanze Krenn; Anna Bandurska-Luque; Ivan Platzek; Cläre von Neubeck; Steffen Appold; Alexander Nowak; Volker Gudziol; Frank Buchholz; Gustavo B Baretton; Michael Baumann; Steffen Löck; Mechthild Krause
Journal:  Clin Transl Radiat Oncol       Date:  2019-03-18

9.  Multicenter CT phantoms public dataset for radiomics reproducibility tests.

Authors:  Petros Kalendralis; Alberto Traverso; Zhenwei Shi; Ivan Zhovannik; René Monshouwer; Martijn P A Starmans; Stefan Klein; Elisabeth Pfaehler; Ronald Boellaard; Andre Dekker; Leonard Wee
Journal:  Med Phys       Date:  2019-01-29       Impact factor: 4.071

10.  Size and Shape Filtering of Malignant Cell Clusters within Breast Tumors Identifies Scattered Individual Epithelial Cells as the Most Valuable Histomorphological Clue in the Prognosis of Distant Metastasis Risk.

Authors:  Velicko Vranes; Nemanja Rajković; Xingyu Li; Konstantinos N Plataniotis; Nataša Todorović Raković; Jelena Milovanović; Ksenija Kanjer; Marko Radulovic; Nebojša T Milošević
Journal:  Cancers (Basel)       Date:  2019-10-22       Impact factor: 6.639
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.