Prostate cancer is a leading cause of cancer-related mortality among men worldwide. Biparametric magnetic resonance imaging (bpMRI) plays a crucial role in early detection and evaluation of prostate lesions. Artificial intelligence (AI) has emerged as a promising tool for optimizing...

Multiple sclerosis (MS) is a chronic autoimmune disorder that leads to neurodegeneration and progressive neurological impairment. A key imaging feature of MS is the presence of demyelinating brain lesions, which vary in distribution and size. This study aimed to assess...

Objectives: To quantify the clinical value of integrating a commercially available artificial intelligence (AI) algorithm for intracranial aneurysm detection in a screening setting that utilizes cranial magnetic resonance imaging (cMRI) scans acquired primarily for other clinical purposes....

In Multiple Sclerosis (MS) cerebral MRI is essential for disease and treatment monitoring. For this purpose, software solutions are available to support the radiologist with image interpretation and reporting of follow up imaging. Aim of this study was to evaluate...

This study evaluates the clinical value of a deep learning–based artificial intelligence (AI) system that performs rapid brain volumetry with automatic lobe segmentation and age- and sex-adjusted percentile comparisons....

This study aims to evaluate the diagnostic performance of a commercial, fully-automated, artificial intelligence (AI) driven software tool in identifying and grading prostate lesions in prostate MRI, using histopathological findings as the reference standard, while contextualizing its performance within the...

The aim of our study was to assess the diagnostic performance of commercially available AI software for intracranial aneurysm detection and to determine if the AI system enhances the radiologist’s accuracy in identifying aneurysms and reduces image analysis time....

Multiple Sclerosis (MS) is a common autoimmune disease of the central nervous system. MRI plays a crucial role in diagnosing as well as in disease and treatment monitoring. Therefore, evaluation of cerebral MRI of MS patients is part of daily...

The aim of this study was to employ artificial intelligence (AI)-based magnetic resonance imaging (MRI) brain volumetry to potentially distinguish between idiopathic normal pressure hydrocephalus (iNPH), Alzheimer’s disease (AD), and age- and sex-matched healthy controls (CG) by evaluating cortical, subcortical,...

Automatic lesion counting and volumetry is feasible with both 2D- and 3D-weightend FLAIR images. Still, it leads to partly significant differences even between two sequences that both are conform to the 2021 MAGNIMS-CMSC NAIMS consensus recommendations....

The purpose of this study was to explore the effects of the integration of machine learning into daily radiological diagnostics, using the example of the machine learning software mdbrain® (Mediaire GmbH, Germany) in the diagnostic MRI workflow of patients with...

The aim of this study was to investigate brain atrophy in patients with confirmed, progressed Huntington's disease using a certified software for automated volumetry and to compare the results with the manual measurement methods used in clinical practice as well...

To evaluate the impact of an AI-based software trained to detect cerebral aneurysms on TOF-MRA on the diagnostic performance and reading times across readers with varying experience levels....

Published in Brain Communications, Volume 5, Issue 6, 2023 Authors Purrer, V., Pohl, E., Lueckel, J. M., Borger, V., Sauer, M., Radbruch, A., Wüllner, U., Schmeel, F. C. Abstract Essential tremor and Parkinson’s disease patients may present with various tremor...

Published in Life (2023), 13(1):16 Authors Bruno, F., Tommasino, E., Catalucci, A., Pastorelli, C., Borea, F., Caldarelli, G., Bellini, M., Badini, P., Mancini, S., Santobuono, C., et al. Abstract The purpose of the study is to quantify volumetric variations of...

Published in Diagnostics (2023) Authors Bendella, Z., Widmann, C.N., Layer, J.P., Layer, Y.L., Haase, R., Sauer, M., Bieler, L., Lehnen, N.C., Paech, D., Heneka, M.T., Radbruch, A., Schmeel, F.C. Abstract Cohort studies that quantify volumetric brain data among individuals with...

Published in American Journal of Neuroradiology (2022) Authors N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch and D. Paech Abstract Background and Purpose Cerebral aneurysms yield the risk of rupture, severe disability and death. Thus, early...

Presented at Clinical Neuroradiology, 31(Supplement 1), 40-41. (2021) Authors Aruci, M., Dünnwald, M., Schreiber, F., Sciarra, A., Maass, A., Schreiber, S., Oeltze-Jafra, S. Abstract Purpose White matter hyperintensities of presumed vascular origin (WMH), a hallmark feature of cerebral small vessel...

Published in Radiologie up2date 2022; 22 (2): 121–136 (2022) Authors M.-L. Kromrey, S. Grothe, C. Nell, B. Rosenberg Abstract Due to the enormous amount of digital data clinical radiology is highly suitable for the successful operation of artificial intelligence (AI)....

Published in Frontiers in Neuroscience (2022) Authors Dalbis T., Fritz T., Grilo J., Hitziger S., Ling W. X. Abstract We present a deep learning method for the segmentation of new lesions in longitudinal FLAIR MRI sequences acquired at two different...

Presented at Congress of the European Society of Radiology (2022) Authors Albert J., Fernandez M., Thauerer M., Egger K., Gärtner F., Peters S., Hock S., Trautmann D., Opalka J. Abstract Purpose To assess whether the AI-based system mdbrain leads to...

Presented at Congress of the European Society of Radiology (2022) Authors Dalbis T., Grilo J., Hitziger S., Ling W. X., Opalka J., Lemke A. Abstract Purpose The diagnosis of multiple sclerosis (MS) requires the assessment of lesion load from brain MRIs....

Presented at Swiss Congress of Radiology (2022) Authors Klail T., Radojewski P. Abstract Purpose Small incidental aneurysms represent a clinical challenge, since it is often difficult to distinguish them other structures (e.g. infundibulary branch) using standard field strengths (1.5/3T MRI)....

Veröffentlicht in Clinical Neuroradiology, 31(Supplement 1), 29-30. (2021) Autoren A.-L. Mayer, A. Mennecke, S. W. Hock, D. Marterstock, J. Rösch, H. Hamer, B. Kasper, A. Dörfer, M. Schmidt Abstract Ziel der Studie Die automatisierte Berechnung des Hirnvolumens aus MRT-3D-Datensätzen erlaubt...

Published in Clinical Neuroradiology, 31(Supplement 1), 41-42. (2021) Authors S. W. Hock, D. C. Marterstock, A.-L- Mayer, C. Bettray, K. Huhn, V. Rothhammer, A. Dörfler, M. Schmidt Abstract Purpose Artificial intelligence (AI) algorithms have already had a major impact on...

Published in Clinical Neuroradiology, 31(Supplement 1), 21-22. (2021) Authors J. Rudolph, J. Rückel, J. Döpfert, X. Ling, J. Opalka, C. Brem et al. Abstract Purpose Brain volumetry is a key aspect in dementia diagnostics. We applied an artificial intelligence (AI)...

Published in MAGMA Vol. 34(4) Pp: 487–497 (2021) Authors M. Dieckmeyer, A. Guha Roy, J. Senapati, C. Wachinger, L. Grundl, J. Döpfert, P. Ferrera Bertran, A. Lemke, C. Zimmer, J. S. Kirschke, D. M. Hedderich Abstract Objectives To investigate the...

Presented at European Society of Radiology (2021) Authors J. Meissner, P. Mann, H. Michaely, J. Opalka, A. Lemke Abstract Purpose To quantify the performance of a new Deep Learning (DL)-based algorithm in differentiating Progressive Supranuclear Palsy (PSP) patients from healthy...

Veröffentlicht in Fortschr Röntgenstr; 193: S25. (2021) Autoren L. Krause, N. Lummel, T. Baum, M. Röttinger, I. Kleiter, M. Notohamiprodjo Abstract Ziel der Studie Vergleich von zwei Software-Lösungen zur automatisierten Quantifizierung des Hirn- und Läsionsvolumens bei Multiple-Sklerose-Patienten. Materialen & Methoden...

Presented at Congress of the European Society of Radiology (2022) Authors Opalka J., Ferrera Bertran P., Lemke A. Abstract Purpose To test and compare the repeatability and diagnostic accuracy of different academic and commercial brain volumetry solutions with different methodologies...