Article
Oncology
Anna S. Kolodziejczak, Lea Guerrini-Rousseau, Julien Masliah Planchon, Jonas Ecker, Florian Selt, Martin Mynarek, Denise Obrecht, Martin Sill, Robert J. Autry, Eric Stutheit-Zhao, Steffen Hirsch, Elsa Amouyal, Christelle Dufour, Olivier Ayrault, Jacob Torrejon, Sebastian M. Waszak, Vijay Ramaswamy, Virve Pentikainen, Haci Ahmet Demir, Steven C. Clifford, Ed C. Schwalbe, Luca Massimi, Matija Snuderl, Kristyn Galbraith, Matthias A. Karajannis, Katherine Hill, Bryan K. Li, Mike Walsh, Christine L. White, Shelagh Redmond, Loizou Loizos, Marcus Jakob, Uwe R. Kordes, Irene Schmid, Julia Hauer, Claudia Blattmann, Maria Filippidou, Gianluca Piccolo, Wolfram Scheurlen, Ahmed Farrag, Kerstin Grund, Christian Sutter, Torsten Pietsch, Stephan Frank, Denis M. Schewe, David Malkin, Myriam Ben-Arush, Astrid Sehested, Tai-Tong Wong, Kuo-Sheng Wu, Yen-Lin Liu, Fernando Carceller, Sabine Mueller, Schuyler Stoller, Michael D. Taylor, Uri Tabori, Eric Bouffet, Marcel Kool, Felix Sahm, Andreas von Deimling, Andrey Korshunov, Katja von Hoff, Christian P. Kratz, Dominik Sturm, David T. W. Jones, Stefan Rutkowski, Cornelis M. van Tilburg, Olaf Witt, Gaelle Bougeard, Kristian W. Pajtler, Stefan M. Pfister, Franck Bourdeaut, Till Milde
Summary: This retrospective cohort study investigated medulloblastoma in Li-Fraumeni syndrome (LFS) patients and found poor prognosis. The results showed that patients who received radiotherapy and chemotherapy had better clinical outcomes, while chemotherapy intensity did not affect their prognosis.
Article
Pediatrics
Paula Sedano, Carmen Gonzalez-San Segundo, Lourdes De Ingunza, Pedro Cuesta-Alvaro, Marta Perez-Somarriba, Francisco Diaz-Gutierrez, Carmen Garrido Colino, Alvaro Lassaletta
Summary: This study analyzed treatment delivery variables in 40 pediatric patients with medulloblastoma and evaluated the impact on survival. The extent of surgery and radiotherapy-related factors did not significantly affect 5-year survival rates, while risk groups and leptomeningeal dissemination were associated with prognosis.
EUROPEAN JOURNAL OF PEDIATRICS
(2021)
Article
Multidisciplinary Sciences
Yanling Sun, Miao Li, Siqi Ren, Yan Liu, Jin Zhang, Shuting Li, Wenchao Gao, Xiaojun Gong, Jingjing Liu, Yuan Wang, Shuxu Du, Liming Sun, Wanshui Wu, Yongji Tian
Summary: In this study, detectable levels of tumor-derived cfDNA were identified in cerebrospinal fluid (CSF) samples from medulloblastoma (MB) patients, indicating the potential of using CSF as a source for monitoring genomic alterations. The study also found more alterations in circulating tumor DNA from CSF compared to genomic DNA from primary tumor, and observed the feasibility of detecting MB-associated mutations in plasma of patients undergoing chemotherapy.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hui Zheng, Jinning Li, Huanhuan Liu, Gui Ting, Qiufeng Yin, Rui Li, Ming Liu, Yuzhen Zhang, Shaofeng Duan, Yuhua Li, Dengbin Wang
Summary: This study aimed to evaluate the value of an MRI radiomics signature in stratifying the risk of pediatric MB and compared it with clinical-MRI features. The integrated model, combining radiomics signature, clinical, and conventional MRI features, showed the best performance in evaluating the overall survival of children with MB.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Oncology
Clemens Grassberger, Daniel Shinnick, Beow Y. Yeap, Mark Tracy, Susannah G. Ellsworth, Clayton B. Hess, Elizabeth A. Weyman, Sara L. Gallotto, Miranda P. Lawell, Benjamin Bajaj, David H. Ebb, Myrsini Ioakeim-Ioannidou, Jay S. Loeffler, Shannon M. MacDonald, Nancy J. Tarbell, Torunn Yock
Summary: The study found that absolute lymphocyte counts during early radiation therapy are associated with the recurrence risk in pediatric medulloblastoma. Low lymphocyte counts in the early stages of treatment serve as an independent prognostic factor.
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2021)
Review
Clinical Neurology
Kasey Jackson, Roger J. Packer
Summary: This review provides an overview of recent advances in the understanding and management of pediatric medulloblastoma, including etiology, biology, radiology, and treatment.
CURRENT NEUROLOGY AND NEUROSCIENCE REPORTS
(2023)
Review
Pediatrics
Jennifer K. Trittmann, Hanadi Almazroue, Leif D. Nelin, Terri A. Shaffer, Charanda R. Celestine, Henry W. Green, Raphael A. Malbrue
Summary: PATET ratio, a noninvasive quantitative measurement, is crucial in assessing pediatric PAH longitudinally. The review article discusses its application in infants, children, and neonatal mouse models, highlighting its potential as a routine measure for PAH evaluation. Studies are needed to further establish the role of PATET in disease models for precise monitoring and response to therapy.
PEDIATRIC RESEARCH
(2022)
Article
Oncology
Jason E. Farrar, Jenny L. Smith, Megan Othus, Benjamin J. Huang, Yi-Cheng Wang, Rhonda Ries, Tiffany Hylkema, Era L. Pogosova-Agadjanyan, Sneha Challa, Amanda Leonti, Timothy I. Shaw, Timothy J. Triche Jr, Alan S. Gamis, Richard Aplenc, E. Anders Kolb, Xiaotu Ma, Derek L. Stirewalt, Todd A. Alonzo, Soheil Meshinchi
Summary: Optimized risk classification strategies are crucial for personalized therapy in patients with biologically distinctive diseases. This study comprehensively evaluated the landscape of long noncoding RNA (lncRNA) transcripts in pediatric acute myeloid leukemia (pAML) and identified a 37 lncRNA signature (lncScore) associated with outcomes. The inclusion of the lncScore enhances the predictive power of traditional stratification methods in pAML, with potential to replace complex stratification schemes.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Michael Zhang, Samuel W. Wong, Jason N. Wright, Matthias W. Wagner, Sebastian Toescu, Michelle Han, Lydia T. Tam, Quan Zhou, Saman S. Ahmadian, Katie Shpanskaya, Seth Lummus, Hollie Lai, Azam Eghbal, Alireza Radmanesh, Jordan Nemelka, Stephen Harward, Michael Malinzak, Suzanne Laughlin, Sebastien Perreault, Kristina R. M. Braun, Robert M. Lober, Yoon Jae Cho, Birgit Ertl-Wagner, Chang Y. Ho, Kshitij Mankad, Hannes Vogel, Samuel H. Cheshier, Thomas S. Jacques, Kristian Aquilina, Paul G. Fisher, Michael Taylor, Tina Poussaint, Nicholas A. Vitanza, Gerald A. Grant, Stefan Pfister, Eric Thompson, Alok Jaju, Vijay Ramaswamy, Kristen W. Yeom
Summary: This study developed machine learning strategies to identify the four clinically significant molecular subgroups of pediatric medulloblastoma using MRI, providing important information for risk stratification and therapeutic decision making.
Article
Multidisciplinary Sciences
Thitiporn Jaruthien, Chonnipa Nantavithya, Sakun Santisukwongchote, Shanop Shuangshoti, Piti Techavichit, Darintr Sosothikul, Jiraporn Amornfa, Kanjana Shotelersuk
Summary: This study described the clinical characteristics and molecular subgroups of Thai pediatric patients with Medulloblastoma (MB), and found that the interval between surgery and radiotherapy was significantly associated with therapeutic outcomes.
Review
Cell Biology
Veronica Marabitti, Manuela Giansanti, Francesca De Mitri, Francesca Gatto, Angela Mastronuzzi, Francesca Nazio
Summary: Tumor-specific alterations in metabolism are crucial for sustaining cell growth and survival in various cancers, but the heterogeneous nature of metabolism poses challenges for effective anticancer therapies. Medulloblastoma is a highly heterogeneous pediatric brain tumor with complex intratumoral cellular diversity. This review highlights the mechanisms through which medulloblastoma cells rewire their metabolism and energy production networks to support rapid growth, resistance to stress, invasion, metastasis, and therapy. The potential clinical benefits of targeting energy metabolism in suppressing medulloblastoma progression and enhancing current therapies are also discussed.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2022)
Article
Clinical Neurology
Eleonora Tamilia, Margherita A. G. Matarrese, Georgios Ntolkeras, P. Ellen Grant, Joseph R. Madsen, Steve M. Stufflebeam, Phillip L. Pearl, Christos Papadelis
Summary: Intracranial electroencephalographic (icEEG) studies have shown that interictal ripples propagate across the brain in children with medically refractory epilepsy (MRE), with the onset of this propagation estimating the epileptogenic zone. This study aimed to map ripples and their propagation onset noninvasively using high-density EEG (HD-EEG) and magnetoencephalography (MEG) in pediatric epilepsy surgery, finding that resecting the virtual ROZ was associated with a good outcome. Noninvasive mapping of ripple onset may enhance surgery planning and improve outcomes for children with MRE.
ANNALS OF NEUROLOGY
(2021)
Article
Oncology
Sujith Baliga, Judith A. Adams, Benjamin V. M. Bajaj, Liam Van Benthuysen, Juliane Daartz, Sara L. Gallotto, Jacqueline R. Lewy, Nicholas DeNunzio, Elizabeth A. Weyman, Miranda P. Lawell, Joshua D. Palmer, Beow Y. Yeap, David H. Ebb, Mary S. Huang, Alisa F. Perry, Shannon M. MacDonald, Robin M. Jones, Nancy J. Tarbell, Torunn I. Yock
Summary: This study examined the recurrence patterns in pediatric patients with medulloblastoma treated with proton radiotherapy. The majority of failures occurred outside the hippocampus, a structure related to memory formation. Hippocampal sparing radiation plans using proton therapy showed significant reduction in dose to the hippocampus. The study provides rationale for exploring hippocampal sparing in pediatric medulloblastoma through a prospective clinical trial.
Article
Oncology
Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ralph Salloum, Peter de Blank, Ashley Margol, Ramon Correa, Jonathan Chen, Kaustav Bera, Volodymyr Statsevych, Mai-Lan Ho, Pranjal Vaidya, Ruchika Verma, Debra Hawes, Alexander Judkins, Pingfu Fu, Anant Madabhushi, Pallavi Tiwari
Summary: This study found that aggressive medulloblastoma tumors can induce pronounced local structural deformations in the surrounding brain parenchyma. Additionally, these local deformations are independently associated with molecular subgroups and overall survival in medulloblastoma patients. Combining the local deformation statistics with current risk stratification approaches can lead to more reliable risk assessment in pediatric medulloblastoma.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuan Guo, Xiaotong Xie, Wenjie Tang, Siyi Chen, Mingyu Wang, Yaheng Fan, Chuxuan Lin, Wenke Hu, Jing Yang, Jialin Xiang, Kuiming Jiang, Xinhua Wei, Bingsheng Huang, Xinqing Jiang
Summary: This study aimed to develop an MRI-based deep learning radiomics (DLR) signature for predicting HER2-low-positive status and investigating the prognosis using the DLR model. Traditional radiomics features and deep semantic segmentation feature-based radiomics (DSFR) features were extracted for model construction. The DLR model was able to distinguish between different HER2 statuses and predict disease-free survival (DFS) based on the obtained prediction score and lesion size.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Malgorzata Marjanska, Dinesh K. Deelchand, Roland Kreis, Jeffry R. Alger, Patrick J. Bolan, Tamas Borbath, Fawzi Boumezbeur, Carolina C. Fernandes, Eduardo Coello, Bharath Halandur Nagraja, Michal Povazan, Helene Ratiney, Diana Sima, Jana Starcukova, Brian J. Soher, Martin Wilson, Jack J. A. Van Asten
Summary: Fitting of MRS data is crucial in quantification of metabolite concentrations, and different spectral fitting packages show substantial differences in accuracy and precision of fit results. Soft constraints used in LCModel significantly influence the fitting results and their dependence on SNR.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Biophysics
Dadi Zhao, James T. Grist, Heather E. L. Rose, Nigel P. Davies, Martin Wilson, Lesley MacPherson, Laurence J. Abernethy, Shivaram Avula, Barry Pizer, Daniel R. Gutierrez, Tim Jaspan, Paul S. Morgan, Dipayan Mitra, Simon Bailey, Vijay Sawlani, Theodoros N. Arvanitis, Yu Sun, Andrew C. Peet
Summary: This study aimed to investigate metabolite selection from in vivo MRS for childhood brain tumor classification, and found a group of crucial metabolites that help achieve better discrimination between the tumors. Dimensionality reduction was achieved by selecting metabolite concentrations through multi-class receiver operating characteristics, and the selected metabolites provided significantly improved discrimination between the tumors compared with principal component analysis.
NMR IN BIOMEDICINE
(2022)
Article
Biophysics
Alexander R. Craven, Pallab K. Bhattacharyya, William T. Clarke, Ulrike Dydak, Richard A. E. Edden, Lars Ersland, Pravat K. Mandal, Mark Mikkelsen, James B. Murdoch, Jamie Near, Reuben Rideaux, Deepika Shukla, Min Wang, Martin Wilson, Helge J. Zollner, Kenneth Hugdahl, Georg Oeltzschner
Summary: This study compares seven algorithms used for studying gamma-aminobutyric acid (GABA) in the human brain using edited MRS sequences. The authors found systematic scale differences between datasets acquired on different hardware and also observed scale differences across algorithms. Most algorithms were similarly effective in detecting differences in GABA+, but there was weak consistency between algorithms. The findings highlight the need for consensus on appropriate modeling parameters across different algorithms and for detailed reporting of parameters to ensure reproducibility and meaningful comparison between studies.
NMR IN BIOMEDICINE
(2022)
Article
Neurosciences
Bofan Wu, Andrew P. Bagshaw, Clayton Hickey, Simone Kuehn, Martin Wilson
Summary: Advances in magnetic resonance imaging have revealed the relationship between individual differences in the structure and function of the human brain and health and cognition. However, the relationship between individual differences and neuro-metabolite levels remains largely unexplored. This study measured metabolite levels and achieved high classification accuracy using machine learning and metabolomic methodology. These findings suggest the existence of neuro-metabolic phenotypes that can be measured using widely available technology.
Article
Health Care Sciences & Services
Malte von Tottleben, Katie Grinyer, Ali Arfa, Lamine Traore, Dolores Verdoy, Sarah N. Lim Choi Keung, Igor Larranaga, Marie-Christine Jaulent, Esteban De Manuel Keenoy, Mikael Lilja, Marie Beach, Christopher Marguerie, Mustafa Yuksel, Gokce Banu Laleci Erturkmen, Gunnar O. Klein, Pontus Lindman, Javier Mar, Dipak Kalra, Theodoros N. Arvanitis
Summary: This study describes the protocol for evaluating the user experience, acceptability, and usefulness of two collaborative computer platforms developed by the Collaborative Care and Cure Cloud project. The results of the evaluation indicate promising results in terms of platform acceptance and socioeconomic impact, although the COVID-19 pandemic posed limitations.
JMIR RESEARCH PROTOCOLS
(2022)
Review
Nanoscience & Nanotechnology
Andrea Dsouza, Chrystala Constantinidou, Theodoros N. Arvanitis, David M. Haddleton, Jerome Charmet, Rachel A. Hand
Summary: Hydrogels are three-dimensional structures composed of cross-linked hydrophilic polymer chains. In recent years, the application of hydrogels in bacterial/antibacterial studies and infection management has become increasingly important due to the rise in bacterial infections and antimicrobial resistance. By utilizing their unique physicochemical characteristics, hydrogels have been developed to achieve various bacterial/antibacterial functions such as capture and detection, growth or elimination, antibiotic delivery, and sensing. Recent studies have demonstrated the fabrication of multifunctional hydrogels or composite hydrogels consisting of functionalized single hydrogels, which exhibit synergistic bacterial/antibacterial functions.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Stephanie B. Withey, Yu Sun, Jan Novak, Lesley Macpherson, Laurence Abernethy, Barry Pizer, Richard Grundy, Paul S. Morgan, Tim Jaspan, Simon Bailey, Dipayan Mitra, Dorothee P. Auer, Shivaram Avula, Theodoros N. Arvanitis, Andrew Peet
Summary: The objective of this study was to investigate the performance of qualitative review (QR) in assessing the quality of dynamic susceptibility contrast (DSC-) MRI data in pediatric normal brain, and to develop an automated alternative to QR. Two reviewers independently evaluated 1027 signal-time courses, and their results showed 7% disagreement with a Cohen's kappa value of 0.83. The study determined data quality thresholds for various measures, trained machine learning classifiers, and found that SDNR provided the best performance.
BRITISH JOURNAL OF RADIOLOGY
(2023)
Article
Medicine, General & Internal
Eimear M. Foley, Sian Lowri Griffiths, Alexander Murray, Jack Rogers, Fabiana Corsi-Zuelli, Hannah Hickinbotham, Ella Warwick, Martin Wilson, Muzaffer Kaser, Graham K. Murray, Bill Deakin, Deepak Jadon, John Suckling, Nicholas M. Barnes, Rachel Upthegrove, Golam M. Khandaker
Summary: The objective of this study is to test the role of IL-6 in the pathogenesis of first episode psychosis and examine its potential mechanisms of effect. The study will recruit 60 patients with a diagnosis of schizophrenia and related psychotic disorders as well as 30 patients without evidence of inflammation and 30 healthy controls for a comparison study. Study findings will be disseminated through peer-review journals and scientific presentations.
Article
Neurosciences
Olivia Vella, Andrew P. Bagshaw, Martin Wilson
Summary: In this work, a new analysis pipeline called SLIPMAT is presented for extracting high-quality, tissue-specific, spectral profiles from MR spectroscopic imaging data (MRSI). The method combines spectral decomposition with spatially dependent frequency and phase correction to obtain high signal-to-noise ratio white and grey matter spectra. It includes spectral processing steps to reduce unwanted spectral variation and direct spectral analysis using machine learning and statistical methods. The method is validated using data from 8 healthy participants, showing reliable spectral profiles and the discriminative value of metabolites in both grey and white matter.
Article
Multidisciplinary Sciences
Verena F. Demler, Elisabeth F. Sterner, Martin Wilson, Claus Zimmer, Franziska Knolle
Summary: Despite their differences, autism spectrum disorder and schizophrenia spectrum disorder share common environmental risk factors, genetic predispositions, neuronal abnormalities, and cognitive deficits. The study investigates the associations between glutamate concentrations and psychotic-like experiences and autistic traits. The findings suggest that glutamate levels in the anterior cingulate cortex are specifically linked to the expression of psychotic-like experiences and may help identify individuals at risk.
SCIENTIFIC REPORTS
(2023)
Review
Oncology
Teesta Mukherjee, Omid Pournik, Sarah N. Lim Choi N. Keung, Theodoros N. N. Arvanitis
Summary: Brain tumours are abnormal growths of cells in the human brain. Clinical decision support systems (CDSSs) have played an important role in the diagnosis and treatment of brain tumours. This study systematically identifies different types of CDSSs used in brain tumour diagnosis and prognosis through medical imaging.
Review
Immunology
Alex J. Murray, Clara S. Humpston, Martin Wilson, Jack C. Rogers, Mohammad Zia Ul Haq Katshu, Peter F. Liddle, Rachel Upthegrove
Summary: Oxidative stress may contribute to the worsening of psychosis and poor outcomes. Glutathione levels in psychosis patients are related to clinical features and spectroscopy protocols. Meta-analysis shows no difference in glutathione levels between total psychosis patients and controls, but reduced levels are seen in patients with stable schizophrenia. Additionally, older studies demonstrate greater reductions in glutathione levels.
BRAIN BEHAVIOR AND IMMUNITY
(2024)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Parisis Gallos, Rance Delong, Nicholas Matragkas, Allan Blanchard, Chokri Mraidha, Gregory Epiphaniou, Carsten Maple, Konstantinos Katzis, Jaime Delgado, Silvia Llorente, Pedro Malo, Bruno Almeida, Andreas Menychtas, Christos Panagopoulos, Ilias Maglogiannis, Petros Papachristou, Mariana Soares, Paula Breia, Ana Cristina Vidal, Martin Ratz, Ross Williamson, Eduard Erwee, Lukasz Stasiak, Orfeu Flores, Carla Clemente, John Mantas, Patrick Weber, Theodoros N. Arvanitis, Scott Hansen
Summary: The MedSecurance project focuses on identifying cyber security challenges in the context of emerging healthcare architectures, specifically in relation to hardware and software medical devices. The project aims to review best practices and gaps in current guidance, develop a comprehensive methodology and tools for engineering secure networks of medical devices, and ensure patient safety from malicious cyber actors and technology accidents.
CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023
(2023)
Article
Chemistry, Analytical
Vijayalaxmi Manoharan, Rui Rodrigues, Sara Sadati, Marcus J. Swann, Neville Freeman, Bowen Du, Ender Yildirim, Ugur Tamer, Theodoros N. Arvanitis, Dmitry Isakov, Ali Asadipour, Jerome Charmet
Summary: Researchers have developed an application called PocketEC, which can interface with multiple potentiostat ICs. Through Bluetooth technology, PocketEC can be connected to evaluation boards, open-source potentiostats, and custom-built potentiostats. The versatility of PocketEC was demonstrated by comparing its performance with standard benchtop potentiostats using various experiments. The application, along with its companion devices, can be used for a variety of wearable or portable electrochemical sensing applications.
Review
Health Care Sciences & Services
Ramachandran Venkataramanan, S. V. Subramanian, Mohannad Alajlani, Theodoros N. Arvanitis
Summary: This review summarizes the available evidence on mHealth interventions aiming to increase the utilization of Maternal and Child Health (MCH) care services, and investigates the barriers to mHealth adoption among healthcare workers and beneficiaries. The findings suggest that mHealth interventions can improve access to MCH services, but further studies with larger sample sizes and stronger research designs are recommended.
