TY  - JOUR
AU  - Haase, Robert
AU  - Pinetz, Thomas
AU  - Kobler, Erich
AU  - Bendella, Zeynep
AU  - Zülow, Stefan
AU  - Schievelkamp, Arndt-Hendrik
AU  - Schmeel, Frederic Carsten
AU  - Panahabadi, Sarah
AU  - Stylianou, Anna Magdalena
AU  - Paech, Daniel
AU  - Foltyn-Dumitru, Martha
AU  - Wagner, Verena
AU  - Schlamp, Kai
AU  - Heussel, Gudula
AU  - Holtkamp, Mathias
AU  - Heussel, Claus Peter
AU  - Vahlensieck, Martin
AU  - Luetkens, Julian A
AU  - Schlemmer, Heinz-Peter
AU  - Haubold, Johannes
AU  - Radbruch, Alexander
AU  - Effland, Alexander
AU  - Deuschl, Cornelius
AU  - Deike-Hofmann, Katerina
TI  - Deep Learning-Based Signal Amplification of T1-Weighted Single-Dose Images Improves Metastasis Detection in Brain MRI.
JO  - Investigative radiology
VL  - 60
IS  - 8
SN  - 0020-9996
CY  - Philadelphia, Pa.
PB  - Lippincott Williams & Wilkins
M1  - DZNE-2025-00778
SP  - 543 - 551
PY  - 2025
AB  - 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.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.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
KW  - Humans
KW  - Deep Learning
KW  - Brain Neoplasms: diagnostic imaging
KW  - Brain Neoplasms: secondary
KW  - Female
KW  - Middle Aged
KW  - Male
KW  - Magnetic Resonance Imaging: methods
KW  - Prospective Studies
KW  - Contrast Media: administration & dosage
KW  - Sensitivity and Specificity
KW  - Aged
KW  - Image Interpretation, Computer-Assisted: methods
KW  - Image Enhancement: methods
KW  - artificial double-dose (Other)
KW  - brain metastasis (Other)
KW  - contrast maximization (Other)
KW  - convolutional neural network (Other)
KW  - deep learning (Other)
KW  - gadolinium-based contrast agent (Other)
KW  - magnetic resonance imaging (Other)
KW  - metastasis detection (Other)
KW  - virtual contrast (Other)
KW  - Contrast Media (NLM Chemicals)
LB  - PUB:(DE-HGF)16
C6  - pmid:39961132
DO  - DOI:10.1097/RLI.0000000000001166
UR  - https://pub.dzne.de/record/279447
ER  -