My year abroad has ended and I have returned to Vienna. AN Ideal opportunity to check out my complete podcast series. ;-)
https://creators.spotify.com/pod/profile/gilbert-hangel/episodes/
#MRI #7T #7Tesla #MRSI
#Glioma #research #UCL #medicaluniversityofvienna #FWF
Yesterday, we had a lovely away day of the OxCin physics group down at the river - learning about Spinoff ideas and getting rained on.
With great joy I share my first Podcast: https://podcasters.spotify.com/pod/show/gilbert-hangel/episodes/Folge-1---Vorstellung-e2pea94
In it I talk about my stay abroad - but in German.
#MRI #7T #7Tesla #MRSI
#Glioma #research #UCL #medicaluniversityofvienna #FWF
Epic Adventures UK ist ein Podcast über das Leben als Gastforscher im Vereinigten Königreich Großbritannien und Nordirland von Gilbert Hangel. Gilbert forscht seit September 2024 an einem Projekt zur 7 Tesla Magnetresonanztomografie und wird nicht nur erklären was es damit auf sich hat, sondern auch seine Erfahrungen mit der Organisation seines einjährigen Abenteuers teilen. Gefördert von dem Österreichischen Wissenschaftsfonds Projekt 10.55776/J4820 . Aufgenommen und bearbeitet mit Podcastle und Audacity. Feedback und Fragen an: [email protected]
This September, my reseach fellowship (FWF Schrödinger stipend funded) in the UK starts. Together with my hosts and collaborators, we will further 7T MRSI.
#MRI #7T #7Tesla #MRSI
#Glioma #research #UCL #medicaluniversityofvienna #FWF
My PhD student Cornelius' first paper was published recenty! In it, we explore the diagnostic use of 7T MRSI to preoperatively identify glioma grade and IDH status.
https://doi.org/10.1186%2Fs40644-024-00704-9
#MRI #7T #7Tesla #MRSI #Glioma #research #medicaluniversityofvienna #AI #cancerimaging
Introduction With the application of high-resolution 3D 7 Tesla Magnetic Resonance Spectroscopy Imaging (MRSI) in high-grade gliomas, we previously identified intratumoral metabolic heterogeneities. In this study, we evaluated the potential of 3D 7 T-MRSI for the preoperative noninvasive classification of glioma grade and isocitrate dehydrogenase (IDH) status. We demonstrated that IDH mutation and glioma grade are detectable by ultra-high field (UHF) MRI. This technique might potentially optimize the perioperative management of glioma patients. Methods We prospectively included 36 patients with WHO 2021 grade 2–4 gliomas (20 IDH mutated, 16 IDH wildtype). Our 7 T 3D MRSI sequence provided high-resolution metabolic maps (e.g., choline, creatine, glutamine, and glycine) of these patients’ brains. We employed multivariate random forest and support vector machine models to voxels within a tumor segmentation, for classification of glioma grade and IDH mutation status. Results Random forest analysis yielded an area under the curve (AUC) of 0.86 for multivariate IDH classification based on metabolic ratios. We distinguished high- and low-grade tumors by total choline (tCho) / total N-acetyl-aspartate (tNAA) ratio difference, yielding an AUC of 0.99. Tumor categorization based on other measured metabolic ratios provided comparable accuracy. Conclusions We successfully classified IDH mutation status and high- versus low-grade gliomas preoperatively based on 7 T MRSI and clinical tumor segmentation. With this approach, we demonstrated imaging based tumor marker predictions at least as accurate as comparable studies, highlighting the potential application of MRSI for pre-operative tumor classifications.
ISMRM digest: My PhD student Philipp Lazen won the best trainee poster award of the Metabolomics & Metabolomic Imaging study group. Here, Candace Fleischer is handing over the certificate.
#MRI #ISMRM #ismrm24 #medicaluniversityofvienna #research #imaging #science #MRSI #award
My PhD student Philipp's first paper was published recenty! In it, we elaborate the conjunction of our MRSI and MRF studies in gliomas.
https://doi.org/10.3390/cancers16050943
#MRI #7T #7Tesla #MRSI #MRF #Glioma #research #medicaluniversityofvienna
This paper investigated the correlation between magnetic resonance spectroscopic imaging (MRSI) and magnetic resonance fingerprinting (MRF) in glioma patients by comparing neuro-oncological markers obtained from MRSI to T1/T2 maps from MRF. Data from 12 consenting patients with gliomas were analyzed by defining hotspots for T1, T2, and various metabolic ratios, and comparing them using Sørensen–Dice similarity coefficients (DSCs) and the distances between their centers of intensity (COIDs). The median DSCs between MRF and the tumor segmentation were 0.73 (T1) and 0.79 (T2). The DSCs between MRSI and MRF were the highest for Gln/tNAA (T1: 0.75, T2: 0.80, tumor: 0.78), followed by Gly/tNAA (T1: 0.57, T2: 0.62, tumor: 0.54) and tCho/tNAA (T1: 0.61, T2: 0.58, tumor: 0.45). The median values in the tumor hotspot were T1 = 1724 ms, T2 = 86 ms, Gln/tNAA = 0.61, Gly/tNAA = 0.28, Ins/tNAA = 1.15, and tCho/tNAA = 0.48, and, in the peritumoral region, were T1 = 1756 ms, T2 = 102 ms, Gln/tNAA = 0.38, Gly/tNAA = 0.20, Ins/tNAA = 1.06, and tCho/tNAA = 0.38, and, in the NAWM, were T1 = 950 ms, T2 = 43 ms, Gln/tNAA = 0.16, Gly/tNAA = 0.07, Ins/tNAA = 0.54, and tCho/tNAA = 0.20. The results of this study constitute the first comparison of 7T MRSI and 3T MRF, showing a good correspondence between these methods.
Wenn man bei der Anfangsszene genau hinschaut, kann man sehen, wie die #PZH2000 im #MRSI-Verfahren schießt. Nach jedem Schuß wird das Rohr ein wenig gesenkt. Dadurch und durch eine veränderte Treibladung kann man erreichen, dass die Geschosse nahezu gleichzeitig im Ziel einschlagen.
Gilbert Hangel
nehrka - RIP Natenom