Article
Chemistry, Multidisciplinary
Qilin Zou, Luan Passini, Laure Gibot, Delphine Lagarde, Jie Hu, Haomiao Zhu, Franck Desmoulin, Pierre Sicard, Nitchawat Paiyabhroma, Marc Verelst, Robert Mauricot, Clement Roux
Summary: This study presents a versatile strategy for synthesizing ultrasmall rare-earth oxysulfide (RE2O2S) nanoparticles ranging from 3 to 10 nm. The stability of PVP-coated Gd0.8Nd1.2O2S nanoparticles with a size of 6 nm in culture medium is investigated. The results demonstrate the potential of these nanoparticles for applications in various imaging techniques, including magnetic resonance, X-ray computed tomography, photoacoustic, ultrasound, and second near-infrared fluorescence imaging. This study lays the foundation for further research on the bioapplications of ultrasmall RE2O2S nanoparticles.
MATERIALS CHEMISTRY FRONTIERS
(2023)
Article
Neurosciences
Ece Su Sayin, Jacob Schulman, Julien Poublanc, Harrison T. Levine, Lakshmikumar Venkat Raghavan, Kamil Uludag, James Duffin, Joseph A. Fisher, David J. Mikulis, Olivia Sobczyk
Summary: The assessment of resting perfusion measures currently requires a susceptibility contrast agent such as gadolinium. This study compared the perfusion measures obtained using hypoxia-induced deoxyhemoglobin and gadolinium in healthy participants. The results showed that the perfusion measures calculated using hypoxia-induced deoxyhemoglobin were comparable to those obtained with gadolinium injection.
HUMAN BRAIN MAPPING
(2023)
Review
Chemistry, Multidisciplinary
Mike Jeon, Mackenzie Halbert, Zachary R. Stephen, Miqin Zhang
Summary: Gadolinium-based chelates are commonly used contrast agents for MRI, but their toxicity and potential retention in patients' bodies have raised safety concerns. Iron oxide nanoparticles have emerged as a promising alternative due to their non-toxic and biodegradable nature, but their development as T-1 contrast agents is complex and challenging. Progress is being made in exploring IONPs as safe and improved alternatives, but there are still many hurdles to overcome before they can be used clinically.
ADVANCED MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Shange Liu, Yuxing Jiang, Pengcheng Liu, Yu Yi, Dayong Hou, You Li, Xiao Liang, Yifan Wang, Zhi Li, Jia He, Hongpan Rong, Dingsheng Wang, Jiatao Zhang
Summary: This study introduces a single-atom gadolinium nano-contrast agent (Gd-SA) that enhances tumor magnetic resonance imaging (MRI). Gd atoms are atomically dispersed on a hollow carbon nanosphere, reducing the risk of toxic gadolinium ion leakage. Gd-SA shows excellent T1-weighted magnetic resonance enhancement and outperforms the commercial gadolinium-diethylenetri-amine pentaacetic acid (Gd-DTPA) in terms of spatial resolution and imaging time window for tumors.
Article
Pharmacology & Pharmacy
Yongkang Gai, Yuying Li, Shuangping Wu, Ling Xu, Yao Lu, Xiaoli Lan, Guangya Xiang, Xiang Ma
Summary: The aim of this study was to synthesize and characterize a new micelle-based TPGS gadolinium chelate as a biocompatible MRI contrast agent for prolonged blood circulation time and good tumor imaging contrast. The successfully prepared TPGS-L-NETA-Gd micelle exhibited improved cellular uptake in HepG2 cells and xenografts and high in vivo safety. The in vitro and in vivo properties of TPGS-L-NETA-Gd make it a favorable macromolecular MRI contrast agent for future in vivo imaging.
Review
Pharmacology & Pharmacy
Luca Pasquini, Antonio Napolitano, Matteo Pignatelli, Emanuela Tagliente, Chiara Parrillo, Francesco Nasta, Andrea Romano, Alessandro Bozzao, Alberto Di Napoli
Summary: The development of 'virtual' and 'augmented' contrasts in biomedical imaging using artificial intelligence techniques has enabled the generation of synthetic post-contrast images through computational modeling, reducing the risks and limitations associated with traditional contrast media in clinical practice.
Article
Materials Science, Biomaterials
Xingtai Huang, Zihan Wang, Shujie Li, Shiqi Lin, Lirong Zhang, Zhaowei Meng, Xuejun Zhang, Shao-Kai Sun
Summary: In this study, a non-invasive diagnosis method for acute kidney injury using contrast-enhanced magnetic resonance imaging (CE-MRI) based on manganese-doped carbon dots (Mn-CDs) was developed. The synthesized Mn-CDs possess small size, good biocompatibility, and high T1 relaxation rate, which can effectively enhance kidney signal and clearly show kidney structures. In an acute kidney injury model, Mn-CDs-based CE-MRI can accurately and intuitively reveal the site of kidney injury and reflect the functional changes in the injured kidney.
BIOMATERIALS SCIENCE
(2023)
Review
Chemistry, Inorganic & Nuclear
Rocio Uzal-Varela, Aurora Rodriguez-Rodriguez, Huan Wang, David Esteban-Gomez, Isabel Brandariz, Eric M. Gale, Peter Caravan, Carlos Platas-Iglesias
Summary: This research developed a method for predicting Gd(III)-ligand formation constant and pGd at pH 7.4 using known stability constants and structural descriptors, showing strong predictive power and potential for screening potential ligands.
COORDINATION CHEMISTRY REVIEWS
(2022)
Article
Multidisciplinary Sciences
Chuan Chen, Reshani Perera, Michael C. Kolios, Hessel Wijkstra, Agata A. Exner, Massimo Mischi, Simona Turco
Summary: Investigation of a unique second-wave phenomenon in nanobubble contrast-enhanced ultrasound (CEUS) imaging was conducted. The second wave was observed accompanying the first pass of the contrast agent bolus, which has not been previously observed in CEUS with microbubbles. The study aimed to investigate this phenomenon and its potential clinical applications, and found that the characteristics of the second wave differed between tumor and normal tissue, suggesting its potential for cancer diagnosis.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Connor M. Ellis, Daohe Yuan, Ferenc E. Mozes, Jack J. Miller, Jason J. Davis
Summary: Paramagnetically-doped polymer micelles with ionizable poly(acrylic acid) (PAA) block enable high-contrast MR imaging at clinically relevant field strengths with strong pH sensitivity. The reversible switch in polymer strand charge directly affects the local rigidity and rotational correlation time characteristics of the integrated Gd-chelate, resulting in a 50% amplitude switch in positive contrast.
CHEMICAL COMMUNICATIONS
(2023)
Review
Chemistry, Multidisciplinary
Ruth Antwi-Baah, Yajing Wang, Xiaoqin Chen, Kui Yu
Summary: Metal-based nanoparticles, especially gadolinium, manganese, and iron, have shown potential as MRI contrast agents due to their desirable properties. However, most nanoparticles have not been translated into clinical applications yet.
ADVANCED MATERIALS INTERFACES
(2022)
Article
Chemistry, Inorganic & Nuclear
Richard Botar, Eniko Molnar, Zoltan Garda, Eniko Madarasi, Gyorgy Trencsenyi, Janos Kiss, Ferenc K. Kalman, Gyula Tircso
Summary: A new potential MRI contrast agent candidate has been synthesized, which shows high thermodynamic stability, inertness, and efficient binding to proteins, allowing for visualization in vivo.
INORGANIC CHEMISTRY FRONTIERS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Feng Wang, Xiaofang Zhou, Ruiquan Chen, Jie Kang, Xinyi Yang, Jinzhu Lin, Fang Liu, Dairong Cao, Zhen Xing
Summary: This study aimed to compare the accuracy of relative cerebral blood volume (rCBV) and percentage signal recovery (PSR) obtained from high flip-angle dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) sequences with and without contrast agent (CA) preload for presurgical discrimination of brain glioblastoma and lymphoma.
EUROPEAN RADIOLOGY
(2023)
Review
Gastroenterology & Hepatology
Cesare Maino, Federica Vernuccio, Roberto Cannella, Francesco Cortese, Paolo Niccolo Franco, Clara Gaetani, Valentina Giannini, Riccardo Inchingolo, Davide Ippolito, Arianna Defeudis, Giulia Pilato, Davide Tore, Riccardo Faletti, Marco Gatti
Summary: The liver is commonly affected by metastatic disease, and imaging techniques, especially CT and MRI, play a central role in identifying liver metastases. Differential diagnosis between benign and secondary lesions is also important.
WORLD JOURNAL OF GASTROENTEROLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Nan Huang, Yu Chen, Dejun She, Zhen Xing, Tanhui Chen, Dairong Cao
Summary: The combined use of DKI and DCE-MRI can help differentiate different types of parotid gland tumors, improving diagnostic accuracy.
EUROPEAN RADIOLOGY
(2022)
Article
Clinical Neurology
F. D'Amore, G. Vinacci, E. Agosti, L. P. Cariddi, A. Terrana, F. A. Vizzari, M. Mauri, A. Giorgianni
AMERICAN JOURNAL OF NEURORADIOLOGY
(2020)
Letter
Clinical Neurology
Nicoletta Anzalone, Antonella Castellano, Roberta Scotti, Anna Mara Scandroglio, Massimo Filippi, Fabio Ciceri, Moreno Tresoldi, Andrea Falini
JOURNAL OF NEUROLOGY
(2020)
Review
Oncology
Jerrold L. Boxerman, Chad C. Quarles, Leland S. Hu, Bradley J. Erickson, Elizabeth R. Gerstner, Marion Smits, Timothy J. Kaufmann, Daniel P. Barboriak, Raymond H. Huang, Wolfgang Wick, Michael Weller, Evanthia Galanis, Jayashree Kalpathy-Cramer, Lalitha Shankar, Paula Jacobs, Caroline Chung, Martin J. van den Bent, Susan Chang, W. K. Al Yung, Timothy F. Cloughesy, Patrick Y. Wen, Mark R. Gilbert, Bruce R. Rosen, Benjamin M. Ellingson, Kathleen M. Schmainda
Review
Clinical Neurology
Edoardo Agosti, Andrea Giorgianni, Francesco D'Amore, Gabriele Vinacci, Sergio Balbi, Davide Locatelli
Summary: The case of acute monophasic Guillain-Barre syndrome (GBS) in a COVID-19 patient is rare and may have an etiological correlation with SARS-CoV-2. COVID-19 associated neurological clinic should be considered as standalone clinical entities, requiring further research.
NEUROLOGICAL SCIENCES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Paolo Vitali, Marina Pan, Fulvia Palesi, Giancarlo Germani, Arianna Faggioli, Nicoletta Anzalone, Pietro Francaviglia, Brigida Minafra, Roberta Zangaglia, Claudio Pacchetti, Claudia A. M. Gandini Wheeler-Kingshott
Letter
Critical Care Medicine
Antonella Castellano, Nicoletta Anzalone, Silvia Pontesilli, Evgeny Fominskiy, Andrea Falini
INTENSIVE CARE MEDICINE
(2020)
Article
Biochemistry & Molecular Biology
William Lotter, Abdul Rahman Diab, Bryan Haslam, Jiye G. Kim, Giorgia Grisot, Eric Wu, Kevin Wu, Jorge Onieva Onieva, Yun Boyer, Jerrold L. Boxerman, Meiyun Wang, Mack Bandler, Gopal R. Vijayaraghavan, A. Gregory Sorensen
Summary: Breast cancer poses a global challenge and early detection through screening mammography is crucial. Recent advancements in applying deep learning to mammography have addressed key difficulties, enhancing accuracy and accessibility of screening mammography.
Article
Oncology
Ramon F. Barajas, Letterio S. Politi, Nicoletta Anzalone, Heiko Schoder, Christopher P. Fox, Jerrold L. Boxerman, Timothy J. Kaufmann, C. Chad Quarles, Benjamin M. Ellingson, Dorothee Auer, Ovidiu C. Andronesi, Andres J. M. Ferreri, Maciej M. Mrugala, Christian Grommes, Edward A. Neuwelt, Prakash Ambady, James L. Rubenstein, Gerald Illerhaus, Motoo Nagane, Tracy T. Batchelor, Leland S. Hu
Summary: The article discusses the molecular and pathophysiologic characteristics of PCNSL, as well as critically reviewing the use of PET and MRI in diagnosis and treatment of PCNSL. Recommendations on standardized imaging practices are provided, along with ideal and minimum standard protocols for 3T and 1.5T MR systems to facilitate widespread adoption.
Article
Clinical Neurology
Sonia Francesca Calloni, Marianna Perrotta, Luisa Roveri, Pietro Panni, Anna del Poggio, Paolo Quintiliano Vezzulli, Massimo Filippi, Andrea Falini, Nicoletta Anzalone
Summary: The study showed that CE-MRA is a reliable tool for ruling out intracranial pathology associated with supraortic steno-occlusive disease and also reduces examination time. In cases of suspicion of dissection, a T1-weighted sequence should be added to detect the presence of subacute vessel wall hematoma.
NEUROLOGICAL SCIENCES
(2021)
Article
Clinical Neurology
Danka Jandric, Ilona Lipp, David Paling, David Rog, Gloria Castellazzi, Hamied Haroon, Laura Parkes, Geoff J. M. Parker, Valentina Tomassini, Nils Muhlert
Summary: This study found that cognitive impairment in patients with multiple sclerosis is associated with functional connectivity abnormalities, which are accompanied by local cerebral blood flow and structural connectivity abnormalities. However, these effects do not exactly occur in the same location.
Article
Oncology
Benjamin M. Ellingson, Elizabeth R. Gerstner, Andrew B. Lassman, Caroline Chung, Howard Colman, Patricia E. Cole, David Leung, Joshua E. Allen, Manmeet S. Ahluwalia, Jerrold Boxerman, Matthew Brown, Jonathan Goldin, Edjah Nduom, Islam Hassan, Mark R. Gilbert, Ingo K. Mellinghoff, Michael Weller, Susan Chang, David Arons, Clair Meehan, Wendy Selig, Kirk Tanner, W. K. Alfred Yung, Martin van den Bent, Patrick Y. Wen, Timothy F. Cloughesy
Summary: Imaging response assessment plays a crucial role in patient care and drug development in oncology, but the current methods are insufficient in evaluating treatment effects comprehensively. Proposed modifications to the existing framework aim to improve the accuracy in measuring treatment effects and provide a reliable basis for selecting candidate therapies and identifying effective treatments.
Article
Biotechnology & Applied Microbiology
Michela Destito, Aldo Marzullo, Riccardo Leone, Paolo Zaffino, Sara Steffanoni, Federico Erbella, Francesco Calimeri, Nicoletta Anzalone, Elena De Momi, Andres J. M. Ferreri, Teresa Calimeri, Maria Francesca Spadea
Summary: This study aimed to investigate whether radiomics features can improve outcome prediction in patients with Primary Central Nervous System Lymphoma (PCNSL). By extracting and selecting radiomics features from normalized MR images and using machine learning models for survival prediction, better performance was achieved compared to current clinical prognostic factors. These results indicate that radiomics features can improve prognosis stratification of PCNSL patients and pave the way for further study on their potential role in treatment choice.
BIOENGINEERING-BASEL
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Marta Gaviraghi, Giovanni Savini, Gloria Castellazzi, Fulvia Palesi, Nicolo Rolandi, Simone Sacco, Anna Pichiecchio, Valeria Mariani, Elena Tartara, Laura Tassi, Paolo Vitali, Egidio D'Angelo, Claudia A. M. Gandini Wheeler-Kingshott
Summary: This study developed a fully automated segmentation method for dentate nuclei (DNs) and tested it on healthy subjects and patients with Temporal Lobe Epilepsy (TLE). Results showed that using Convolutional Neural Network (CNN) yielded better segmentation results, showcasing its potential for accurate extraction of DNs from different resolution DWI data.
COMPUTATIONAL DIFFUSION MRI
(2021)
Meeting Abstract
Clinical Neurology
Sarah Hays, Eleanor DiBiasio, Audra Caine, Grayson Baird, Shawna Cutting, Shadi Yaghi, Jerrold Boxerman, Gaurav Jindal, Tina Burton, Ali Saad, Mac Brian Grory, Karen Furie, Ryan McTaggart, Mahesh Jayaraman
Article
Radiology, Nuclear Medicine & Medical Imaging
Laura C. Bell, Natenael Semmineh, Hongyu An, Cihat Eldeniz, Richard Wahl, Kathleen M. Schmainda, Melissa A. Prah, Bradley J. Erickson, Panagiotis Korfiatis, Chengyue Wu, Anna G. Sorace, Thomas E. Yankeetoy, Neal Rutledge, Thomas L. Chenevert, Dariya Malyarenko, Yichu Liu, Andrew Brenner, Leland S. Hu, Yuxiang Zhou, Jerrold L. Boxerman, Yi-Fen Yen, Jayashree Kalpathy-Cramer, Andrew L. Beers, Mark Muzi, Ananth J. Madhuranthakam, Marco Pinho, Brian Johnson, C. Chad Quarles