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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

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Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study

The Lancet Oncology

Fecha de publicación: 2 April 2019

DOI: https://doi.org/10.1016/S1470-2045(19)30098-1

Autores: Philipp Kickingereder, MD., Fabian Isensee, MSc., Irada Tursunova, MD., Jens Petersen, MSc., Ulf Neuberger, MD., David Bonekamp, MD., et al.

Background: The Response Assessment in Neuro-Oncology (RANO) criteria and requirements for a uniform protocol have been introduced to standardise assessment of MRI scans in both clinical trials and clinical practice. However, these criteria mainly rely on manual two-dimensional measurements of contrast-enhancing (CE) target lesions and thus restrict both reliability and accurate assessment of tumour burden and treatment response.

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