Article
Radiology, Nuclear Medicine & Medical Imaging
Julien Poublanc, Olivia Sobczyk, Reema Shafi, Ece Su Sayin, Jacob Schulman, James Duffin, Kamil Uludag, John C. Wood, Chau Vu, Rohan Dharmakumar, Joseph A. Fisher, David J. Mikulis
Summary: This study demonstrates the feasibility of mapping cerebral perfusion metrics using BOLD MRI during modulation of pulmonary venous oxygen saturation. Results show that induced changes in deoxyhemoglobin can be used as a noninvasive vascular contrast agent for cerebral perfusion imaging.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Chemistry, Physical
Hao Zhang, Zhijia Lv, Dongzhi Xue, Tianqi Zhang, Longhai Jin, Yue Cao, Shuai Zhang, Yinghui Wang, Hongjie Zhang
Summary: A TME-responsive theranostic nanoagent was fabricated using a layer-by-layer synthesis method, which can achieve enhanced chemotherapy within tumor cells without collateral damage to normal tissues. The nanoagent efficiently kills tumor cells in both in vitro and in vivo experiments.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Muhammad Asaduddin, Hong Gee Roh, Hyun Jeong Kim, Eung Yeop Kim, Sung-Hong Park
Summary: This study successfully extracted perfusion maps using deep learning methods from a single dose of contrast agent. Testing showed that U-net with multiple decoders and enhanced encoders performed the best, demonstrating strong agreement between the generated perfusion maps and the ground truth.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Materials Science, Multidisciplinary
Weixiu Zhou, Jiyun Shen, Jiaomin Lin, Miao An, Lu An, Qiwei Tian, Shiping Yang
Summary: This study successfully constructed the efficient T-1 MRI contrast agent Gd-DTPA@ZIF-8, which has good longitudinal relaxivity and biocompatibility, showing significantly enhanced imaging effects in in vivo MRI experiments.
JOURNAL OF MATERIALS SCIENCE
(2021)
Article
Biochemical Research Methods
Junwei Liu, Lulu Liu, Saisi Qu, Tongtong Zhang, Danyang Wang, Qinghua Ji, Tian Wang, Hongyu Shi, Kaichen Song, Weijia Fang, Wei Chen, Weiwei Yin
Summary: This study identified the impact of Gd contamination on CyTOF data quality, and developed a computational method named GdClean to effectively remove Gd contamination signals while preserving the real signals.
Review
Radiology, Nuclear Medicine & Medical Imaging
Faraz Ahmad, Lee Treanor, Trevor A. McGrath, Daniel Walker, Matthew D. F. McInnes, Nicola Schieda
Summary: The study found that the adverse event rate of ferumoxytol as an MRI contrast agent is 2%, with a mix of mild, moderate, and severe adverse events reported. There were no deaths related to ferumoxytol administration, but the safety of ferumoxytol as an alternative to gadolinium-based contrast agents in patients with prior hypersensitivity reactions remains unexplored.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Petra J. van Houdt, Sudarshan Ragunathan, Michael Berks, Zaki Ahmed, Lucy E. Kershaw, Oliver J. Gurney-Champion, Sirisha Tadimalla, Jonathan Arvidsson, Yu Sun, Jesper Kallehauge, Ben Dickie, Simon Levy, Laura Bell, Steven Sourbron, Michael J. Thrippleton
Summary: This article introduces a community-led open-source code repository established by the ISMRM Open Science Initiative for Perfusion Imaging (OSIPI) to promote sharing and testing of perfusion imaging processing software. The repository contains multiple implementations of perfusion processing steps and provides an automated unit-testing framework for evaluation. The results show that differences in output parameters mainly occur in the pharmacokinetic models, while other aspects of the implementations have similar output values.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Chemistry, Multidisciplinary
Jin Wang, Yinhang Jia, Qiyue Wang, Zeyu Liang, Guangxu Han, Zejun Wang, Jiyoung Lee, Meng Zhao, Fangyuan Li, Ruiliang Bai, Daishun Ling
Summary: The article introduces a T-1-T-2 dual-mode contrast agent designed for ultrahigh-field MRI, which not only improves resolution and signal-to-noise ratio, but also effectively displays microvasculature structures with high sensitivity and accuracy in detecting tumor vascular permeability.
ADVANCED MATERIALS
(2021)
Article
Oncology
Mark S. Shiroishi, Dane Weinert, Steven Y. Cen, Bino Varghese, Timothy Dondlinger, Melissa Prah, Jesse Mendoza, Sina Nazemi, Nima Ameli, Negin Amini, Salman Shohas, Shannon Chen, Bavrina Bigjahan, Gabriel Zada, Thomas Chen, Josh Neman-Ebrahim, Eric L. Chang, Frances E. Chow, Zhaoyang Fan, Wensha Yang, Frank J. Attenello, Jason Ye, Paul E. Kim, Vishal N. Patel, Alexander Lerner, Jay Acharya, Leland S. Hu, C. Chad Quarles, Jerrold L. Boxerman, Ona Wu, Kathleen M. Schmainda
Summary: This study aimed to investigate the feasibility of using low flip angle and no preload DSC-MRI at 1.5T MRI for brain imaging of HGG patients.
FRONTIERS IN ONCOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Paolo Arosio, Davide Cicolari, Amedea Manfredi, Francesco Orsini, Alessandro Lascialfari, Elisabetta Ranucci, Paolo Ferruti, Daniela Maggioni
Summary: In this study, a linear polyamidoamine (PAA) named BAC-EDDS was successfully synthesized and showed stable nanoaggregates with negative charge, demonstrating good performance as a contrast agent in magnetic resonance imaging.
Article
Computer Science, Artificial Intelligence
Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary Rutherford, Joseph V. Hajnal, Daniel C. Alexander
Summary: The algorithm presented in the study offers an unsupervised machine learning technique for spectroscopic analysis of quantitative MRI experiments, showing improved performance over current voxelwise spectral approaches. By simultaneously estimating spectral components and their weightings, the algorithm regularizes ill-posed problems and enables quantitative MRI spectroscopy in a wide range of new applications.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Chemistry, Physical
Davino M. A. Neto, Luelc S. da Costa, Fernando L. de Menezes, Lillian M. U. D. Fechine, Rafael M. Freire, Juliano C. Denardin, Manuel Banobre-Lopez, Igor F. Vasconcelos, Thiago S. Ribeiro, Luzia Kalyne A. M. Leal, Joao A. C. de Sousa, Juan Gallo, Pierre B. A. Fechine
Summary: The study demonstrates the successful functionalization of Fe3O4 NPs with DTPMP for potential use as an MRI contrast agent, showing non-cytotoxicity and high transverse relaxivity values. This novel material presents an excellent alternative magnetic option for biological and technological applications, particularly for MRI contrast imaging.
APPLIED SURFACE SCIENCE
(2021)
Article
Pharmacology & Pharmacy
Jiali Li, Xue Jiang, Lihuan Shang, Zhen Li, Conglian Yang, Yan Luo, Daoyu Hu, Yaqi Shen, Zhiping Zhang
Summary: The study successfully synthesized L-epigallocatechin gallate complexed Mn2+ nanoparticles with good biocompatibility, stability, pH sensitivity, and anti-tumor properties, potentially serving as an MRI contrast agent.
Article
Chemistry, Multidisciplinary
Sedigheh Cheraghali, Ghasem Dini, Isabella Caligiuri, Michele Back, Flavio Rizzolio
Summary: In this study, hierarchical MnZn ferrite nanoparticles were synthesized and their surface characteristics were improved by PEGylation. In vitro MRI studies confirmed the ability of the synthesized nanoparticles as a contrast agent. Results were compared with normal structured MnZn ferrite nanoparticles.
Article
Chemistry, Multidisciplinary
Hamidreza Saeidi, Morteza Mozaffari, Serhat Ilbey, Silvio Dutz, Diana Zahn, Gholamhassan Azimi, Michael Bock
Summary: This work provides a detailed description of the synthesis and characterizations of europium-substituted Mn-Zn ferrite magnetic nanoparticles. The europium substitution significantly affects the crystallite size, saturation magnetization, and relaxivity. The results show that the europium-substituted nanoparticles have potential as dual-mode MRI contrast agents with enhanced contrast and improved biocompatibility.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ryan T. Woodall, David A. Hormuth II, Chengyue Wu, Michael R. A. Abdelmalik, William T. Phillips, Ande Bao, Thomas J. R. Hughes, Andrew J. Brenner, Thomas E. Yankeelov
Summary: The study presents a computational fluid dynamics approach to predict the spatial distribution of Re-186-nanoliposomes for individual patients with recurrent glioblastoma multiforme. The models were calibrated and validated using patient-specific pre-operative MRI data and showed potential for optimizing catheter placement in future studies using convection-enhanced delivery.
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS
(2021)
Article
Engineering, Biomedical
Birkan Tunc, David A. Hormuth, George Biros, Thomas E. Yankeelov
Summary: This study evaluated the performance of three mathematical models of tumor growth using MRI data from a murine model of glioma. The RDM model most accurately predicts tumor growth, while the RDAM model demonstrates the least variation in estimates of diffusion coefficient and proliferation rate. The mathematical models successfully capture tumor development and mass effect observed in experiments.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2021)
Article
Medicine, Research & Experimental
Alexey Surov, Jin You Kim, Marco Aiello, Wei Huang, Thomas E. Yankeelov, Andreas Wienke, Maciej Pech
Summary: In this study, the relationships between quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE MRI) and prognostic factors in breast cancer (BC) were investigated. The results showed that DCE MRI parameters were positively correlated with KI-67, but could not be used as reliable markers for hormone receptor status, tumor stage, and grade in BC. However, K-trans could discriminate lesions with high and low proliferation activity.
Article
Radiology, Nuclear Medicine & Medical Imaging
Sean D. McGarry, Michael Brehler, John D. Bukowy, Allison K. Lowman, Samuel A. Bobholz, Savannah R. Duenweg, Anjishnu Banerjee, Sarah L. Hurrell, Dariya Malyarenko, Thomas L. Chenevert, Yue Cao, Yuan Li, Daekeun You, Andrey Fedorov, Laura C. Bell, C. Chad Quarles, Melissa A. Prah, Kathleen M. Schmainda, Bachir Taouli, Eve LoCastro, Yousef Mazaheri, Amita Shukla-Dave, Thomas E. Yankeelov, David A. Hormuth, Ananth J. Madhuranthakam, Keith Hulsey, Kurt Li, Wei Huang, Wei Huang, Mark Muzi, Michael A. Jacobs, Meiyappan Solaiyappan, Stefanie Hectors, Tatjana Antic, Gladell P. Paner, Watchareepohn Palangmonthip, Kenneth Jacobsohn, Mark Hohenwalter, Petar Duvnjak, Michael Griffin, William See, Marja T. Nevalainen, Kenneth A. Iczkowski, Peter S. LaViolette
Summary: 14 site-specific parametric fitting algorithms were compared on DWI data, with K, DK, and MEADC showing higher prostate cancer detection capability compared to bi-exponential parameters. Post-processing decisions on DWI data can significantly impact sensitivity and specificity in prostate cancer studies.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Computer Science, Artificial Intelligence
Chengyue Wu, David A. Hormuth, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov
Summary: This study introduces a dynamic digital phantom for validating dynamic contrast-enhanced magnetic resonance imaging methods, evaluates the performance of standard and ultra-fast acquisitions, and demonstrates the influence of acquisition parameters on image generation.
MEDICAL IMAGE ANALYSIS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Martin D. Holland, Andres Morales, Sean Simmons, Brandon Smith, Samuel R. Misko, Xiaoyu Jiang, David A. Hormuth, Chase Christenson, Roy P. Koomullil, Desiree E. Morgan, Yufeng Li, Junzhong Xu, Thomas E. Yankeelov, Harrison Kim
Summary: The DP4 phantom is reliable, portable, and capable of significantly improving the reproducibility of qDCE-MRI measurements.
Article
Radiology, Nuclear Medicine & Medical Imaging
Jianchen Yang, Tessa Davis, Anum S. Kazerouni, Yuan-I. Chen, Meghan J. Bloom, Hsin-Chih Yeh, Thomas E. Yankeelov, John Virostko
Summary: The study successfully transfected FRET reporters quantifying glucose and lactate concentration into breast cancer cell lines, allowing for tracking of nutrient dynamics and response to therapy. The FRET ratio from the reporters increased with ligand concentration and decreased over time for high initial concentrations, indicating the potential for monitoring metabolic changes in cancer cells.
MOLECULAR IMAGING AND BIOLOGY
(2022)
Correction
Radiology, Nuclear Medicine & Medical Imaging
Jianchen Yang, Tessa Davis, Anum S. Kazerouni, Yuan-I. Chen, Meghan J. Bloom, Hsin-Chih Yeh, Thomas E. Yankeelov, John Virostko
MOLECULAR IMAGING AND BIOLOGY
(2022)
Article
Oncology
Junyan Liu, David A. Hormuth, Jianchen Yang, Thomas E. Yankeelov
Summary: This study proposes and validates a time-resolved mathematical model to predict the changes in tumor response to fractionated radiation. By experimentally verifying the model, it establishes a framework for quantitative characterization and prediction of the dynamic radiobiological response of gliomas to fractionated radiotherapy.
FRONTIERS IN ONCOLOGY
(2022)
Article
Biology
Yuan- Chen, Yin-Jui Chang, Shih-Chu Liao, Trung Duc Nguyen, Jianchen Yang, Yu-An Kuo, Soonwoo Hong, Yen-Liang Liu, H. Grady Rylander, Samantha R. Santacruz, Thomas E. Yankeelov, Hsin-Chih Yeh
Summary: In this study, Chen et al. introduced a new deep learning-based method called flimGANE to rapidly generate accurate and high-quality FLIM images even in the photon-starved conditions. flimGANE is particularly useful in fundamental biological research and clinical applications.
COMMUNICATIONS BIOLOGY
(2022)
Article
Oncology
Anum S. Kazerouni, David A. Hormuth, Tessa Davis, Meghan J. Bloom, Sarah Mounho, Gibraan Rahman, John Virostko, Thomas E. Yankeelov, Anna G. Sorace
Summary: This study investigated tumor heterogeneity in a mouse model of HER2+ breast cancer using magnetic resonance imaging (MRI). The results showed that the baseline imaging phenotypes can predict therapy response, and there were correlations between imaging habitats and histological measures. These findings have potential implications for improving personalized treatment strategies for breast cancer patients.
Article
Biochemistry & Molecular Biology
Qi Xu, Jaspreet Kaur, Dennis Wylie, Karuna Mittal, Hongxiao Li, Rishab Kolachina, Mohammed Aleskandarany, Michael S. Toss, Andrew R. Green, Jianchen Yang, Thomas E. Yankeelov, Shristi Bhattarai, Emiel A. M. Janssen, Jun Kong, Emad A. Rakha, Jeanne Kowalski, Ritu Aneja
Summary: This study explores the intratumoral heterogeneity (ITH) in triple-negative breast cancer (TNBC) by evaluating gene expression and imaging differences within the same tumor. The results show extensive intertumoral heterogeneity and regional ITH in gene expression and image-derived features in TNBC. Concerns are raised regarding gene expression based TNBC subtyping.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Oncology
Meghan J. Bloom, Patrick N. Song, John Virostko, Thomas E. Yankeelov, Anna G. Sorace
Summary: In vitro and in vivo studies have shown that combination trastuzumab and radiotherapy have an additive effect and can achieve similar efficacy as higher dose radiotherapy with fewer adverse effects. The combination therapy also showed potential in increasing immune infiltration.
Article
Radiology, Nuclear Medicine & Medical Imaging
Stephen M. Moore, James D. Quirk, Andrew W. Lassiter, Richard Laforest, Gregory D. Ayers, Cristian T. Badea, Andriy Y. Fedorov, Paul E. Kinahan, Matthew Holbrook, Peder E. Z. Larson, Renuka Sriram, Thomas L. Chenevert, Dariya Malyarenko, John Kurhanewicz, A. McGarry Houghton, Brian D. Ross, Stephen Pickup, James C. Gee, Rong Zhou, Seth T. Gammon, Henry Charles Manning, Raheleh Roudi, Heike E. Daldrup-Link, Michael T. Lewis, Daniel L. Rubin, Thomas E. Yankeelov, Kooresh I. Shoghi
Summary: Preclinical imaging is critical for translational research in cancer, but there are complexities and regional differences. The NCI emphasizes the use of oncology models to study the biological and molecular basis of cancer prevention and treatment. To address the issues, the NCI conducted a survey and summarized the metadata requirements for reproducible quantitative co-clinical imaging to support translational imaging research.
Article
Radiology, Nuclear Medicine & Medical Imaging
Emel Alkim, Heidi Dowst, Julie DiCarlo, Lacey E. Dobrolecki, Anadulce Hernandez-Herrera, David A. Hormuth II, Yuxing Liao, Apollo McOwiti, Robia Pautler, Mothaffar Rimawi, Ashley Roark, Ramakrishnan Rajaram Srinivasan, Jack Virostko, Bing Zhang, Fei Zheng, Daniel L. Rubin, Thomas E. Yankeelov, Michael T. Lewis
Summary: Co-clinical trials involve evaluating therapeutics in both patients and patient-derived xenografts (PDX) to determine how well PDX responses match patient responses, in order to inform pre-clinical and clinical trials. The challenge lies in managing and analyzing the vast amount of data generated across different scales and species. To overcome this challenge, a web-based tool called MIRACCL is being developed to correlate MRI-based changes in tumor characteristics with mRNA expression data in a co-clinical trial setting.