| Online-Ressource |
Verfasst von: | Lohmann, Philipp [VerfasserIn]  |
| Franceschi, Enrico [VerfasserIn]  |
| Vollmuth, Philipp [VerfasserIn]  |
| Dhermain, Frédéric [VerfasserIn]  |
| Weller, Michael [VerfasserIn]  |
| Preusser, Matthias [VerfasserIn]  |
| Smits, Marion [VerfasserIn]  |
| Galldiks, Norbert [VerfasserIn]  |
Titel: | Radiomics in neuro-oncological clinical trials |
Verf.angabe: | Philipp Lohmann, Enrico Franceschi, Philipp Vollmuth, Frédéric Dhermain, Michael Weller, Matthias Preusser, Marion Smits, Norbert Galldiks |
E-Jahr: | 2022 |
Jahr: | 25 October 2022 |
Umfang: | 9 S. |
Fussnoten: | Gesehen am 31.01.2023 |
Titel Quelle: | Enthalten in: The lancet. Digital health |
Ort Quelle: | London : The Lancet, 2019 |
Jahr Quelle: | 2022 |
Band/Heft Quelle: | 4(2022), 11 vom: Okt., Seite e841-e849 |
ISSN Quelle: | 2589-7500 |
Abstract: | The development of clinical trials has led to substantial improvements in the prevention and treatment of many diseases, including brain cancer. Advances in medicine, such as improved surgical techniques, the development of new drugs and devices, the use of statistical methods in research, and the development of codes of ethics, have considerably influenced the way clinical trials are conducted today. In addition, methods from the broad field of artificial intelligence, such as radiomics, have the potential to considerably affect clinical trials and clinical practice in the future. Radiomics is a method to extract undiscovered features from routinely acquired imaging data that can neither be captured by means of human perception nor conventional image analysis. In patients with brain cancer, radiomics has shown its potential for the non-invasive identification of prognostic biomarkers, automated response assessment, and differentiation between treatment-related changes from tumour progression. Despite promising results, radiomics is not yet established in routine clinical practice nor in clinical trials. In this Viewpoint, the European Organization for Research and Treatment of Cancer Brain Tumour Group summarises the current status of radiomics, discusses its potential and limitations, envisions its future role in clinical trials in neuro-oncology, and provides guidance on how to address the challenges in radiomics. |
DOI: | doi:10.1016/S2589-7500(22)00144-3 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1016/S2589-7500(22)00144-3 |
| Volltext: https://www.sciencedirect.com/science/article/pii/S2589750022001443 |
| DOI: https://doi.org/10.1016/S2589-7500(22)00144-3 |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 183279881X |
Verknüpfungen: | → Zeitschrift |
Radiomics in neuro-oncological clinical trials / Lohmann, Philipp [VerfasserIn]; 25 October 2022 (Online-Ressource)