Correction: Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans (European Radiology, (2026), 10.1007/s00330-026-12393-y)

Riedel EO, Schinz D, Keicher M, Rühling S, El Husseini M, Pellegrini C, Baum T, Dieckmeyer M, Malagutti L, Seeger I, Walburga AS, Wiestler B, Sollmann N, Löffler MT, Wagner A, Kirschke JS (2026)

Publication Type: Journal article, Erratum

Publication year: 2026

Journal

European Radiology Springer Verlag (Germany)

DOI: 10.1007/s00330-026-12637-x

Abstract

https://doi.org/10.1007/s00330-026-12393-y, published online 24 February 2026 The authors regret to inform that an error occurred in the statistical analysis presented in Tables 1–4 of the original article. Due to a default setting in the statistical software (R), the negative class (no fracture) was incorrectly assigned as the ‘positive class’ for the calculation of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Specifically, the values labeled as ‘Sensitivity’ in the original tables represent the ‘Specificity’ (detection of non-fractured vertebrae), and vice versa. Similarly, PPV and NPV values were transposed. This systematic labeling error affects all sub-analyses (in Tables 1–4, as well as the corresponding Figures 3, 5, and 6, and the descriptions in the “Results” and the first paragraph of the “Discussion” sections). The authors emphasize that the Kappa, Accuracy and AUROC values, as well as the overall ranking of the models and human raters, remain unaffected by this labeling error. The core conclusion—that specifically trained deep learning models achieve diagnostic performance comparable to or exceeding that of human experts—remains valid. To correct this, the labels “Spec” & “Sens” and “NPV” & “PPV” were transposed in the.

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Klinikum der Universität München (LMU Klinikum) DE Germany (DE)

How to cite

APA:

Riedel, E.O., Schinz, D., Keicher, M., Rühling, S., El Husseini, M., Pellegrini, C.,... Kirschke, J.S. (2026). Correction: Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans (European Radiology, (2026), 10.1007/s00330-026-12393-y). European Radiology. https://doi.org/10.1007/s00330-026-12637-x

MLA:

Riedel, Evamaria O., et al. "Correction: Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans (European Radiology, (2026), 10.1007/s00330-026-12393-y)." European Radiology (2026).

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