Direct image to subtype prediction for brain tumors using deep learning
Neuro-Oncology Advances, vol. 5, pp. vdad139
Abstract
Abstract Background Deep Learning (DL) can predict molecular alterations of solid tumors directly from routine histopathology slides. Since the 2021 update of the World Health Organization (WHO) diagnostic criteria, the classification of brain tumors integrates both histopathological and molecular information. We hypothesize that DL can predict molecular alterations as well as WHO subtyping of brain tumors from hematoxylin and eosin-stained histopathology slides. Methods We used weakly supervised DL and applied it to three large cohorts of brain tumor samples, comprising N = 2845 patients. Results We found that the key molecular alterations for subtyping, IDH and ATRX, as well as 1p19q codeletion, were predictable from histology with an area under the receiver operating characteristic curve (AUROC) of 0.95, 0.90, and 0.80 in the training cohort, respectively. These findings were upheld in external validation cohorts with AUROCs of 0.90, 0.79, and 0.87 for prediction of IDH, ATRX, and 1p19q codeletion, respectively. Conclusions In the future, such DL-based implementations could ease diagnostic workflows, particularly for situations in which advanced molecular testing is not readily available.
Authors 16
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Universitätsklinikum Aachen · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
Department of Medicine III, University Hospital RWTH Aachen , Aachen, North Rhine-Westphalia , Germany
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Universitätsklinikum Aachen · University Hospital Carl Gustav Carus · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
Department of Internal Medicine I, University Hospital Carl Gustav Carus , Dresden, Saxony , Germany
Department of Medicine III, University Hospital RWTH Aachen , Aachen, North Rhine-Westphalia , Germany
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University Hospital Carl Gustav Carus · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
Department of Visceral, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus Dresden , Dresden, Saxony , Germany
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Affiliation as printed
Department of Medicine 1, Division of Oncology, Medical University of Vienna , Vienna, Vienna , Austria
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Klinikum St. Georg · Leipzig University
Affiliation as printed
Department of Pathology, St. Georg Teaching Hospital, University of Leipzig , Leipzig, Saxony , Germany
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Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
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Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
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Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
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Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
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German Cancer Research Center · University Hospital Heidelberg · National Center for Tumor Diseases · Deutsches Konsortium für Translationale Krebsforschung
Affiliation as printed
Clinical Cooperation Unit Neuro-oncology, Department of Neurology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ) , Heidelberg, Baden- Württemberg , Germany
Neurology Clinic, Department of Neurology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg , Heidelberg, Baden- Württemberg , Germany
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Universitätsklinikum Aachen · RWTH Aachen University
Affiliation as printed
Department of Medicine III, University Hospital RWTH Aachen , Aachen, North Rhine-Westphalia , Germany
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Affiliation as printed
School of Medicine, Faculty of Medicine and Dentistry, University College London , London, Greater London , UK
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Queen Mary University of London · UCL Queen Square Institute of Neurology · Blizard Institute · University College London
Affiliation as printed
Blizard Institute, Faculty of Medicine and Dentistry, Barts and The London School of Medicine and Dentistry, Queen Mary University of London , London, Greater London , UK
Division of Neuropathology, Queen Square Institute of Neurology, University College London , London, Greater London , UK
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UCL Queen Square Institute of Neurology · University College London
Affiliation as printed
Division of Neuropathology, Queen Square Institute of Neurology, University College London , London, Greater London , UK
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University Hospital Carl Gustav Carus
Affiliation as printed
Institut für Pathologie, University Hospital Carl Gustav Carus , Dresden, Saxony , Germany
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University of Leeds · Heidelberg University · University Hospital Heidelberg · National Center for Tumor Diseases · Universitätsklinikum Aachen · University Hospital Carl Gustav Carus · Else Kröner Fresenius Center for Digital Health · Technische Universität Dresden · RWTH Aachen University
Affiliation as printed
Clinical Artificial Intelligence, Else Kroener Fresenius Center for Digital Health, Technical University Dresden , Dresden, Saxony , Germany
Department of Internal Medicine I, University Hospital Carl Gustav Carus , Dresden, Saxony , Germany
Department of Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg , Heidelberg, Baden- Württemberg , Germany
Department of Medicine III, University Hospital RWTH Aachen , Aachen, North Rhine-Westphalia , Germany
Pathology & Data Analytics, Faculty of Medicine and Health, Leeds Institute of Medical Research at St James’s, University of Leeds , Leeds, West Yorkshire , UK
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