A public benchmark for human performance in the detection of focal cortical dysplasia

Focal cortical dysplasias (FCDs) are malformations of cortical development and one of the most common causes of drug-resistant focal epilepsy. Once found, FCDs can be neurosurgically resected, which leads to seizure freedom in many cases. However, FCDs are difficult to detect in the visual assessment of magnetic resonance imaging. A myriad of algorithms for automated FCD detection have been developed, but their true clinical value remains unclear since there is no benchmark dataset for evaluation and comparison to human performance. Here, we use human FCD detection performance to define a benchmark dataset with which new methods for automated detection can be evaluated.

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Publication Details

Journal
Epilepsia Open
Published
2025-04-01
DOI
https://doi.org/10.1002/epi4.70028
Citations
5
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
7.36
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article

A public benchmark for human performance in the detection of focal cortical dysplasia

Albert J. Becker, Johannes Birkenheier, Philip von Wedel, Marilia Voigt et al.
5 citations
Epilepsia Open
Epilepsy research and treatment
7.36
article

A public benchmark for human performance in the detection of focal cortical dysplasia

Albert J. Becker, Johannes Birkenheier, Philip von Wedel, Marilia Voigt, Jan Pukropski, Christophe Théo Arendt, Sarah Mackert, Martin Vychopen, Hartmut Vatter, Laura Ostermann, Franziska Grau, Randi von Wrede, Karmele Olaciregui Dague, Aileen Sitter, Fabiane Schuch, Markus Kölle, Martin Reuter, Ulrike Attenberger, Christoph Endler, Valeri Borger, Tobias Bauer, Alexander Unruh-Pinheiro, Lennart Walger, Frederic Carsten Schmeel, Patrick Arthur Kupczyk, Alexandra Philipsen, Klaus von der Ropp, Elke Hattingen, Julia Nordsiek, Rainer Surges, Alexander Radbruch, Tobias Baumgartner, Christian Immanuel, David Kügler, Asadeh Lakghomi, Elisabeth Neuhaus, Theodor Rüber, Anna‐Maria Odenthal, Áttila Rácz, Matthias Schmitz, Felix Schrader
article en
5 citations

Abstract

Focal cortical dysplasias (FCDs) are malformations of cortical development and one of the most common causes of drug-resistant focal epilepsy. Once found, FCDs can be neurosurgically resected, which leads to seizure freedom in many cases. However, FCDs are difficult to detect in the visual assessment of magnetic resonance imaging. A myriad of algorithms for automated FCD detection have been developed, but their true clinical value remains unclear since there is no benchmark dataset for evaluation and comparison to human performance. Here, we use human FCD detection performance to define a benchmark dataset with which new methods for automated detection can be evaluated.

Epilepsia OpenVol. 10(3)
Goethe University Frankfurt (DE), University of Bonn (DE), Harvard University (US), University Hospital Bonn (DE), German Center for Neurodegenerative Diseases (DE), Massachusetts General Hospital (US), Athinoula A. Martinos Center for Biomedical Imaging (US), WHU – Otto Beisheim School of Management (DE)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Epilepsy research and treatment
7.36
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