Article
Radiology, Nuclear Medicine & Medical Imaging
Angela Bernabeu-Sanz, Maria Fuentes-Baile, Cristina Alenda
Summary: The study found that IDH1-wt tumors are more necrotic than IDH1-mut tumors, and that the infiltrative pattern in HGG is associated with loss of p53 expression, Ki-67 index, and Glx levels. Additionally, tumor choline levels could be used as a predictive factor in survival, in addition to IDH1 status, to provide a more accurate prediction of survival in HGG patients.
EUROPEAN RADIOLOGY
(2021)
Article
Biophysics
Atsushi Mahara, Keigo Shima, Raghav Soni, Ryutaro Onishi, Yoshiaki Hirano, Shigeyoshi Saito, Tetsuji Yamaoka
Summary: The study developed a supramolecular magnetic resonance contrast agent for long-term whole-tissue observation in a single individual. The results showed that microvessels formed inside cancer tissues at the early stage are leaky, but they form continuous microvessels after 12 days.
COLLOIDS AND SURFACES B-BIOINTERFACES
(2023)
Review
Medicine, General & Internal
Alok Jaju, Kristen W. Yeom, Maura E. Ryan
Summary: This article reviews the imaging methodology, including conventional and advanced MRI techniques, and illustrates the MRI appearances of common pediatric brain tumors.
Article
Medicine, General & Internal
Bart R. J. van Dijken, Hanne-Rinck Jeltema, Justyna Klos, Peter Jan van Laar, Roelien H. Enting, Ronald G. H. J. Maatman, Klaas Bijsterveld, Wilfred F. A. Den Dunnen, Rudi A. Dierckx, Paul E. Sijens, Anouk van der Hoorn
Summary: This study proposes a straightforward method for 2-HG quantification by MR spectroscopy for IDH mutation status detection and directly compares in vivo 2-HG MR spectroscopy with ex vivo 2-HG concentration measured in resected tumor tissue. The study shows that in vivo 2-HG MR spectroscopy can non-invasively determine IDH status in glioma and demonstrates a strong correlation with ex vivo 2-HG concentration in patients with lower-grade glioma.
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaorui Su, Xibiao Yang, Huaiqiang Sun, Yanhui Liu, Ni Chen, Shuang Li, Zongyao Huang, Hanbing Shao, Simin Zhang, Qiyong Gong, Qiang Yue
Summary: This study aimed to evaluate the value of MRI biomarkers for the identification of IDH mutation and 1p/19q codeletion in adult patients with diffuse glioma. ADC and CBV models were built to determine the status of IDH mutation and 1p/19q codeletion, and the performance of these models was improved by incorporating metabolite concentrations. The results showed that the ADC model performed well in identifying IDH mutation status, while the CBV model outperformed in predicting 1p/19q codeletion.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Medicine, General & Internal
Ghazanfar Latif
Summary: This study focuses on three areas of brain MR image processing: brain MR image classification, tumor region segmentation, and tumor classification. By proposing different deep learning models, it achieves accurate segmentation and classification of brain tumors.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sirui Li, Yuan Zheng, Wenbo Sun, Samo Lasic, Filip Szczepankiewicz, Qing Wei, Shihong Han, Shuheng Zhang, Xiaoli Zhong, Liang Wang, Huan Li, Yuxiang Cai, Dan Xu, Zhiqiang Li, Qiang He, Danielle van Westen, Karin Bryskhe, Daniel Topgaard, Haibo Xu
Summary: The DIVIDE technique shows promise for characterizing and diagnosing gliomas, with the potential to differentiate between different grades, molecular features, and microstructural characteristics of tumors. The diffusion metrics obtained from DIVIDE imaging are able to accurately distinguish between high-grade and low-grade gliomas, as well as between wild-type and mutated IDH tumors.
EUROPEAN RADIOLOGY
(2021)
Article
Oncology
Pamela Franco, Irene Huebschle, Carl Philipp Simon-Gabriel, Karam Dacca, Oliver Schnell, Juergen Beck, Hansjoerg Mast, Horst Urbach, Urs Wuertemberger, Marco Prinz, Jonas A. Hosp, Daniel Delev, Irina Mader, Dieter Henrik Heiland
Summary: Radiomics is a research field that aims to integrate radiological and genetic information, with the goal of developing a simple tool for preoperatively predicting and correlating metabolic signatures of CNS lesions, particularly in gliomas. Proton magnetic resonance spectroscopy (H-1-MRS) provides non-invasive metabolic information about brain pathologies, but its use is not widespread. Developing automated analysis tools for H-1-MRS could simplify interpretation of metabolic and genetic data for a broader audience in clinical practice.
Article
Materials Science, Multidisciplinary
Beilei Zhang, Yue Gao, Rui Yang, Zhijun Ouyang, Hongwei Yu, Han Wang, Xiangyang Shi, Mingwu Shen
Summary: Unobtrusive metastasis and invasion are the major causes of cancer patient death, and the lack of specificity and abrupt release of anticancer drugs applied to primary tumors cause serious side effects in cancer management. Therefore, the development of controlled local drug delivery systems that can effectively treat primary tumors and inhibit tumor metastasis is crucial for improved cancer therapeutics.
ADVANCED FIBER MATERIALS
(2022)
Article
Oncology
Chia-Lin Tseng, Hanbo Chen, James Stewart, Angus Z. Lau, Rachel W. Chan, Liam S. P. Lawrence, Sten Myrehaug, Hany Soliman, Jay Detsky, Mary Jane Lim-Fat, Nir Lipsman, Sunit Das, Chinthaka Heyn, Pejman J. Maralani, Shawn Binda, James Perry, Brian Keller, Greg J. Stanisz, Mark Ruschin, Arjun Sahgal
Summary: This study presents the workflow and initial clinical experience of high grade glioma (HGG) radiotherapy on the 1.5 T MR-Linac (MRL), focusing on the temporal variations of the tumor and the feasibility of acquiring multi-parametric images (mpMRI) during routine treatment. Ten HGG patients were treated with radiation on the MRL, and the results showed that the treatment times were acceptable and adaptive re-planning was triggered for selected patients based on daily online MRL imaging. Additionally, mpMRIs were successfully acquired on the MRL, and there was a significant correlation between the FLAIR volumes and the apparent diffusion coefficient (ADC) within the tumor region.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tom Finck, Jens Gempt, Claus Zimmer, Jan S. Kirschke, Nico Sollmann
Summary: The study suggests that CE BB imaging can significantly improve the delineation of therapy-naive HGGs compared to traditional TFE imaging, indicating a potential supplementary role for CE BB sequences in MRI protocols for brain tumors.
EUROPEAN RADIOLOGY
(2021)
Article
Materials Science, Biomaterials
Jianming Ni, Huiting Xu, Yanqi Zhong, Yongping Zhou, Shudong Hu
Summary: The synthesized copper sulphide nanoparticles wrapped on the surface of upconversion nanoparticles via manganese dioxide coatings provide O-2 self-supplementing and enhanced combinational RT/photothermal therapy. The nanoplatforms can be rapidly enriched at tumor sites and respond to the tumor microenvironment. By irradiation with near-infrared light, the scattered CuS NPs can convert light energy into heat to destroy tumor cells and reinforce the therapeutic effects of RT.
JOURNAL OF MATERIALS CHEMISTRY B
(2022)
Article
Oncology
Xiaorui Su, Yanhui Liu, Haoyu Wang, Ni Chen, Huaiqiang Sun, Xibiao Yang, Weina Wang, Simin Zhang, Xinyue Wan, Qiaoyue Tan, Qiang Yue, Qiyong Gong
Summary: In this study, it was found that patients with H3 K27M mutations were typically younger in age among midline glioma patients. Analysis showed that in the mutation group, some relative apparent diffusion coefficient (rADC) histogram parameters and myo-inositol/creatine plus phosphocreatine (Ins/tCr) ratio were lower compared to the wild-type group. A predictive model was constructed using factors such as age, Ins/tCr, and rADC_15th, showing good diagnostic power with a validated C-index of 0.884 and an AUC of 0.898.
Article
Radiology, Nuclear Medicine & Medical Imaging
Lei Zhang, Liu-qing Yang, Li Wen, Sheng-qing Lv, Jun-hao Hu, Qing-rui Li, Jian-ping Xu, Ru-fu Xu, Dong Zhang
Summary: The study investigated the performance of multi-parametric magnetic resonance imaging (MRI) for glioma grading, and found that normalized relative cerebral blood flow (rCBV), mean kurtosis (MK), and water molecular diffusion heterogeneity index (alpha) were the most accurate parameters for assessing glioma grading. Multiparametric MRI can increase the accuracy of glioma grading.
ACADEMIC RADIOLOGY
(2021)
Review
Clinical Neurology
Manoj Kumar, Ravi Prakash Reddy Nanga, Gaurav Verma, Neil Wilson, Jean Christophe Brisset, Kavindra Nath, Sanjeev Chawla
Summary: Proton magnetic resonance spectroscopy (H-1-MRS) is a non-invasive method to analyze the biochemical profile of brain tumors. Traditional H-1-MRS methods face challenges in spatial coverage and resolution. In recent years, more advanced metabolic imaging and spectroscopic sequences have greatly influenced the field of neuro-oncologic metabolomics. This review article summarizes the potential clinical applications of emerging techniques in studying brain tumor metabolism.
FRONTIERS IN NEUROLOGY
(2022)
Article
Endocrinology & Metabolism
Andreas Stadlbauer, Thomas M. Kinfe, Max Zimmermann, Ilker Eyuepoglu, Nadja Brandner, Michael Buchfelder, Moritz Zaiss, Arnd Doerfler, Sebastian Brandner
Summary: Functional magnetic resonance imaging (fMRI) is widely used for preoperative localization of eloquent cortical areas. However, lesion-induced impairment of neurovascular coupling (NVC) may result in false-negative fMRI results. This study investigated the physiological factors impacting NVC and found that perilesional hypoxia and reduced vascular perfusion and architecture were associated with lesion-induced impairment of NVC. A novel physiologic MRI approach was developed for preoperative risk assessment to prevent severe postoperative functional deficits.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2022)
Article
Oncology
Andreas Stadlbauer, Thomas M. Kinfe, Ilker Eyuepoglu, Max Zimmermann, Melitta Kitzwoegerer, Klaus Podar, Michael Buchfelder, Gertraud Heinz, Stefan Oberndorfer, Franz Marhold
Summary: The study retrospectively evaluated MRI follow-up examinations of 56 GBM patients, showing early pathophysiologic changes before radiological recurrence and providing a model for the pathophysiology of GBM recurrence. The study suggests that hypoxia may represent an early sign for GBM recurrence.
CLINICAL CANCER RESEARCH
(2021)
Editorial Material
Clinical Neurology
Thomas Kinfe, Michael Buchfelder, Andreas Stadlbauer
EXPERT REVIEW OF NEUROTHERAPEUTICS
(2021)
Review
Clinical Neurology
Martin Nuessel, Melanie Hamperl, Anna Maslarova, Shafqat R. Chaudhry, Julia Kohn, Andreas Stadlbauer, Michael Buchfelder, Thomas Kinfe
Summary: The review focused on the use of burst and conventional motor cortex stimulation for chronic pain, particularly in patients with central post-stroke pain. While burstMCS showed promising results in reducing post-stroke pain, further large-scale sham-controlled trials are recommended to determine its utility compared to cMCS.
Article
Cell Biology
Krista Mineia Wartchow, Benjamin Schmid, Philipp Tripal, Andreas Stadlbauer, Michael Buchfelder, Carlos-Alberto Goncalves, Andrea Kleindienst
Summary: The study demonstrates that treatment with a cAMP analog/activator reduces GB growth and invasion.
Article
Oncology
Fengjuan Fan, Stefano Malvestiti, Sonia Vallet, Judith Lind, Jose Manuel Garcia-Manteiga, Eugenio Morelli, Qinyue Jiang, Anja Seckinger, Dirk Hose, Hartmut Goldschmidt, Andreas Stadlbauer, Chunyan Sun, Heng Mei, Martin Pecherstorfer, Latifa Bakiri, Erwin F. Wagner, Giovanni Tonon, Martin Sattler, Yu Hu, Pierfrancesco Tassone, Dirk Jaeger, Klaus Podar
Summary: This study demonstrates a significant correlation between JunB and angiogenic factors in MM, independent of hypoxia. JunB plays a dual role as a mediator of MM cell survival, proliferation, drug resistance, and also promotes angiogenesis in the BM microenvironment. These findings suggest targeting JunB as a potential strategy in MM therapy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Elisabeth Heynold, Max Zimmermann, Nirjhar Hore, Michael Buchfelder, Arnd Doerfler, Andreas Stadlbauer, Natalia Kremenevski
Summary: The study evaluated a physiological MRI approach that showed significant differences in the pathophysiology of GB and BM, and has potential to noninvasively distinguish these two brain tumors using this method.
MOLECULAR IMAGING AND BIOLOGY
(2021)
Article
Oncology
Andreas Stadlbauer, Stefan Oberndorfer, Gertraud Heinz, Max Zimmermann, Thomas M. Kinfe, Arnd Doerfler, Michael Buchfelder, Natalia Kremenevski, Franz Marhold
Summary: Anaplastic gliomas (AG) are aggressive primary brain tumors that affect young adults. This study found that physiological MRI biomarkers can help detect pathophysiological changes before radiological recurrence of IDH-mutated AG, with intensifying hypoxia and upregulation of neovascularization activity preceding recurrence. These findings may lead to the development of new MRI imaging modalities and tailored therapy options for recurrent AG patients.
Article
Clinical Neurology
Andreas Stadlbauer, Gertraud Heinz, Stefan Oberndorfer, Max Zimmermann, Thomas M. Kinfe, Michael Buchfelder, Arnd Doerfler, Natalia Kremenevski, Franz Marhold
Summary: This study demonstrated the diagnostic performance of physiological MRI biomarkers for detecting recurrence of IDH-mutant WHO grade 3 glioma, with a focus on microvascular features and tissue oxygen tension as early signs of neovascularization activity, providing valuable information for early detection of recurrence.
Letter
Medicine, General & Internal
Philipp Treib, Sebastian Treib, Werner Adler, Hajo Hamer, Stefan Schwab, Hermann Stefan, Thilo Hammen, Johannes Treib
DEUTSCHES ARZTEBLATT INTERNATIONAL
(2021)
Article
Multidisciplinary Sciences
Sebastian Brandner, Simon Aicher, Sarah Schroeter, Izabela Swierzy, Thomas M. Kinfe, Michael Buchfelder, Anna Maslarova, Andreas Stadlbauer
Summary: Assessing the release and re-uptake of glutamate in the brain is crucial for understanding its role in normal brain function and neurological disorders. This study used fluorescent nanosensors to image glutamate transients in human cortical brain slices obtained from epilepsy surgery patients. The results showed that the nanosensor signals were in agreement with the stimulation electrode position and electrical stimulation dynamics. Pharmacological manipulation of glutamate release and reuptake also affected the nanosensor signals. This study demonstrates the potential of fluorescent nanosensors in detecting neuronal activity in human brain slices with high spatiotemporal precision.
SCIENTIFIC REPORTS
(2022)
Article
Oncology
Andreas Stadlbauer, Franz Marhold, Stefan Oberndorfer, Gertraud Heinz, Michael Buchfelder, Thomas M. Kinfe, Anke Meyer-Base
Summary: The pretreatment diagnosis of contrast-enhancing brain tumors is challenging due to their similar appearance on MRI. This study combined machine learning algorithms with a physiological MRI technique to develop a radiophysiomics approach for the classification of brain tumors. The results showed that radiophysiomics could be helpful in the clinical routine diagnosis of contrast-enhancing brain tumors, but further automation using deep neural networks is required.
Review
Clinical Neurology
Martin Nuessel, Yining Zhao, Constantin Knorr, Martin Regensburger, Andreas Stadlbauer, Michael Buchfelder, Alessandro del Vecchio, Thomas Kinfe
Summary: Chronic pain is a burden for patients and society, and conventional therapies have limited effectiveness. Reversible deep brain stimulation, stereotactic radiosurgery, and magnetic resonance-guided focused ultrasound are potential treatment options for modulating the affective pain network. However, heterogeneity in observation periods, stimulation patterns, lesioning techniques, and chronic pain etiology limit the evidence and comparative analysis.
Article
Biochemistry & Molecular Biology
Andreas Stadlbauer, Gertraud Heinz, Franz Marhold, Anke Meyer-Baese, Oliver Ganslandt, Michael Buchfelder, Stefan Oberndorfer
Summary: Glioblastoma and brain metastasis have similar appearances in conventional MRI, making their differentiation a major challenge in clinical neurooncology. This study shows that the combination of radiomic features and deep convolutional neural networks can effectively support the pre-therapeutic differentiation of these brain tumors.
Article
Medicine, General & Internal
Laszlo Barany, Nirjhar Hore, Andreas Stadlbauer, Michael Buchfelder, Sebastian Brandner
Summary: This study aimed to compare the performance of a deep-learning-based image segmentation with manual segmentation for predicting the topography of white matter tracts on T1-weighted MR images. After reconstructing the corticospinal tract using deterministic diffusion tensor imaging, a segmentation model was trained and evaluated. The results showed that the algorithm performed well in predicting the topography of the corticospinal pathway on T1-weighted images in healthy subjects.
