Deep learning-based signal amplification of T1-weighted single-dose images improves metastasis detection in brain MRI
Objectives - Double-dose contrast-enhanced brain imaging improves tumor delineation and detection of occult metastases but is limited by concerns about gadolinium-based contrast agents' effects on patients and the environment. The purpose of this study was to test the benefit of a deep learnin...
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
August 2025
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| In: |
Investigative radiology
Year: 2025, Jahrgang: 60, Heft: 8, Pages: 543-551 |
| ISSN: | 1536-0210 |
| DOI: | 10.1097/RLI.0000000000001166 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1097/RLI.0000000000001166 Verlag, lizenzpflichtig, Volltext: https://journals.lww.com/investigativeradiology/abstract/2025/08000/deep_learning_based_signal_amplification_of.10.aspx 
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| Verfasserangaben: | Robert Haase, Thomas Pinetz, Erich Kobler, Zeynep Bendella, Stefan Zülow, Arndt-Hendrik Schievelkamp, Frederic Carsten Schmeel, Sarah Panahabadi, Anna Magdalena Stylianou, Daniel Paech, Martha Foltyn-Dumitru, Verena Wagner, Kai Schlamp, Gudula Heussel, Mathias Holtkamp, Claus Peter Heussel, Martin Vahlensieck, Julian A. Luetkens, Heinz-Peter Schlemmer, Johannes Haubold, Alexander Radbruch, Alexander Effland, Cornelius Deuschl, Katerina Deike |
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| 245 | 1 | 0 | |a Deep learning-based signal amplification of T1-weighted single-dose images improves metastasis detection in brain MRI |c Robert Haase, Thomas Pinetz, Erich Kobler, Zeynep Bendella, Stefan Zülow, Arndt-Hendrik Schievelkamp, Frederic Carsten Schmeel, Sarah Panahabadi, Anna Magdalena Stylianou, Daniel Paech, Martha Foltyn-Dumitru, Verena Wagner, Kai Schlamp, Gudula Heussel, Mathias Holtkamp, Claus Peter Heussel, Martin Vahlensieck, Julian A. Luetkens, Heinz-Peter Schlemmer, Johannes Haubold, Alexander Radbruch, Alexander Effland, Cornelius Deuschl, Katerina Deike |
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| 520 | |a Objectives - Double-dose contrast-enhanced brain imaging improves tumor delineation and detection of occult metastases but is limited by concerns about gadolinium-based contrast agents' effects on patients and the environment. The purpose of this study was to test the benefit of a deep learning-based contrast signal amplification in true single-dose T1-weighted (T-SD) images creating artificial double-dose (A-DD) images for metastasis detection in brain magnetic resonance imaging. - Materials and Methods - In this prospective, multicenter study, a deep learning-based method originally trained on noncontrast, low-dose, and T-SD brain images was applied to T-SD images of 30 participants (mean age ± SD, 58.5 ± 11.8 years; 23 women) acquired externally between November 2022 and June 2023. Four readers with different levels of experience independently reviewed T-SD and A-DD images for metastases with 4 weeks between readings. A reference reader reviewed additionally acquired true double-dose images to determine any metastases present. Performances were compared using Mid-p McNemar tests for sensitivity and Wilcoxon signed rank tests for false-positive findings. - Results - All readers found more metastases using A-DD images. The 2 experienced neuroradiologists achieved the same level of sensitivity using T-SD images (62 of 91 metastases, 68.1%). While the increase in sensitivity using A-DD images was only descriptive for 1 of them (A-DD: 65 of 91 metastases, +3.3%, P = 0.424), the second neuroradiologist benefited significantly with a sensitivity increase of 12.1% (73 of 91 metastases, P = 0.008). The 2 less experienced readers (1 resident and 1 fellow) both found significantly more metastases on A-DD images (resident, T-SD: 61.5%, A-DD: 68.1%, P = 0.039; fellow, T-SD: 58.2%, A-DD: 70.3%, P = 0.008). They were therefore able to use A-DD images to increase their sensitivity to the neuroradiologists' initial level on regular T-SD images. False-positive findings did not differ significantly between sequences. However, readers showed descriptively more false-positive findings on A-DD images. The benefit in sensitivity particularly applied to metastases ≤5 mm (5.7%-17.3% increase in sensitivity). - Conclusions - A-DD images can improve the detectability of brain metastases without a significant loss of precision and could therefore represent a potentially valuable addition to regular single-dose brain imaging. | ||
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