Article
Engineering, Biomedical
Lijun Qian, Qing Zhou, Xiaohuan Cao, Wenjun Shen, Shiteng Suo, Shanshan Ma, Guoxiang Qu, Xuhua Gong, Yunqi Yan, Jianrong Xu, Luan Jiang
Summary: A cascade network framework composed of a de-enhancement network and a registration network is proposed for efficient registration of liver images in DCE-MRI. Experimental results show that the method improves efficiency while maintaining registration performance.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2021)
Article
Biophysics
Li Feng
Summary: This paper proposes a highly accelerated 4D dynamic MRI framework with subsecond temporal resolution to reduce intraframe motion blurring. The method combines radial sampling and tailored reconstruction. The proposed approach enables highly-accelerated 4D dynamic imaging at subsecond temporal resolution, and it has been successfully tested in abdominal motion phantom and dynamic contrast-enhanced MRI.
NMR IN BIOMEDICINE
(2023)
Article
Oncology
Antonella Petrillo, Roberta Fusco, Elio Di Bernardo, Teresa Petrosino, Maria Luisa Barretta, Annamaria Porto, Vincenza Granata, Maurizio Di Bonito, Annarita Fanizzi, Raffaella Massafra, Nicole Petruzzellis, Francesca Arezzo, Luca Boldrini, Daniele La Forgia
Summary: The potential of statistical and artificial intelligence algorithms in assisting radiologists in interpreting mammographic images has been evaluated. These algorithms showed promising results in discriminating benign from malignant breast lesions and identifying hormone receptor presence. Logistic regression and tree-based algorithms were found effective in developing decision-making tools for radiologists. The use of these tools can help assess breast lesions and determine appropriate follow-up without relying on histology.
Article
Clinical Neurology
M. Seo, K. -j. Ahn, Y. Choi, N. -y. Shin, J. Jang, B. -s. Kim
Summary: This study assessed the performance of T1-relative CBV in postoperative patients with high-grade gliomas. The results showed that T1-relative CBV can serve as a valid alternative to T2*-PWI and demonstrated good diagnostic performance in detecting progressive lesions.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Oncology
Michelle Roytman, Sean Kim, Shannon Glynn, Charlene Thomas, Eaton Lin, Whitney Feltus, Rajiv S. Magge, Benjamin Liechty, Theodore H. Schwartz, Rohan Ramakrishna, Nicolas A. Karakatsanis, Susan C. Pannullo, Joseph R. Osborne, Jonathan P. S. Knisely, Jana Ivanidze
Summary: This study investigated the correlation between tumor vascularity and SSTR2 expression in meningiomas using Gallium-68-DOTATATE PET/MRI. The results showed a strong correlation between tumor vascularity and SSTR2 expression in WHO-2 and WHO-3 meningiomas, but not in WHO-1 meningiomas.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhibo Zhu, R. Marc Lebel, Yannick Bliesener, Jay Acharya, Richard Frayne, Krishna S. Nayak
Summary: A high-resolution whole-brain VFA T1 mapping technique was developed and evaluated for quantitative DCE-MRI, demonstrating feasibility with sparse sampling. Results showed stable performance in both simulated data and patient data, with acceptable levels of bias and standard deviation in T1 mapping precision under various conditions.
MAGNETIC RESONANCE IN MEDICINE
(2021)
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
Konstantin Hellwig, Stephan Ellmann, Markus Eckstein, Marco Wiesmueller, Sandra Rutzner, Sabine Semrau, Benjamin Frey, Udo S. Gaipl, Antoniu Oreste Gostian, Arndt Hartmann, Heinrich Iro, Rainer Fietkau, Michael Uder, Markus Hecht, Tobias Baeuerle
Summary: DCE parameters were used to assess treatment response, and a random forest machine learning algorithm based on these parameters was able to predict treatment response to induction chemo-immunotherapy.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
John Virostko, Anna G. Sorace, Kalina P. Slavkova, Anum S. Kazerouni, Angela M. Jarrett, Julie C. DiCarlo, Stefanie Woodard, Sarah Avery, Boone Goodgame, Debra Patt, Thomas E. Yankeelov
Summary: This study aimed to determine if advanced quantitative MRI could be used in community settings to predict the response of breast cancer to neoadjuvant therapy. Analysis showed that quantitative MRI could accurately predict the response, leading to the potential incorporation of these parameters into standard care and increasing clinical community sites participation in drug trials requiring quantitative MRI.
BREAST CANCER RESEARCH
(2021)
Article
Biochemical Research Methods
Simon Mayer, Eberhard Munz, Sebastian Hammer, Steffen Wagner, Andre Guendel, Hardy Rolletschek, Peter M. Jakob, Ljudmilla Borisjuk, Thomas Neuberger
Summary: In this study, a new approach for plant Dynamic Contrast Enhanced Magnetic Resonance Imaging (pDCE-MRI) was designed and tested, allowing non-invasive investigation of contrast agent allocation in living plants. The improved time resolution enables dynamic analysis at low velocities, opening up possibilities for further research in plant biology.
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhou Liu, Bingyu Yao, Jie Wen, Meng Wang, Ya Ren, Yuming Chen, Zhanli Hu, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, Dehong Luo, Na Zhang
Summary: This study proposes a novel data-driven approach based on voxel-wise mapping of DCE-MRI time-intensity-curve (TIC) profiles to quantify and visualize hemodynamic heterogeneity. The results demonstrate that this approach outperforms traditional methods in differentiating lesion malignancy and predicting tumor proliferation status.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Weibo Gao, Jixin Chen, Bin Zhang, Xiaocheng Wei, Jinman Zhong, Xiaohui Li, Xiaowei He, Fengjun Zhao, Xin Chen
Summary: A deep learning-based system with a cascade feature pyramid network was developed for the detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The system outperformed other systems in terms of detecting and classifying breast lesions, especially small lesions.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ping N. Wang, Julia V. Velikina, Roberta M. Strigel, Leah C. Henze Bancroft, Alexey A. Samsonov, Ty A. Cashen, Kang Wang, Frederick Kelez, Kevin M. Johnson, Frank R. Korosec, Ali Ersoz, James H. Holmes
Summary: The MOCCO reconstruction was able to capture rapid lesion kinetics and provide high image quality across a range of optimal regularization values. In comparison, the CS-TV method demonstrated either high spatial resolution with reduced temporal accuracy at large regularization values or recovery of rapid lesion kinetics with reduced image quality at low regularization values. Simulations showed that MOCCO with radial acquisition is a robust imaging technique for improving temporal fidelity while maintaining high spatial resolution and image quality in bilateral breast DCE MRI.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Engineering, Biomedical
Shanshan Wang, Jiaye Liu, Bolun Wan, Wei Li
Summary: Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is an important medical imaging technique that provides multiple time-series images without ionizing radiation. However, the long scan time of DCE-MRI affects the patient experience. To address this issue, this paper proposes a Hybrid Feature Fusion Neural Network (HybridF) that combines Transformer and CNN for DCE-MRI super-resolution reconstruction.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Pharmacology & Pharmacy
Nicola Melillo, Daniel Scotcher, J. Gerry Kenna, Claudia Green, Catherine D. G. Hines, Iina Laitinen, Paul D. Hockings, Kayode Ogungbenro, Ebony R. Gunwhy, Steven Sourbron, John C. Waterton, Gunnar Schuetz, Aleksandra Galetin
Summary: This study used a physiologically-based pharmacokinetic (PBPK) modeling to predict changes in the metabolism of Gadoxetate caused by different drugs. The results showed that Ciclosporin and Rifampicin significantly decreased the concentration of Gadoxetate in the liver. The effects of other drugs were marginal.
Review
Cardiac & Cardiovascular Systems
Betty Raman, David A. Bluemke, Thomas F. Luescher, Stefan Neubauer
Summary: Long COVID, characterized by persistent COVID-19 symptoms beyond 3 months, is expected to significantly affect the lives of millions worldwide. Cardiopulmonary symptoms are common, along with cardiovascular abnormalities such as inflammation, myocardial infarction, and arrhythmias. The pathophysiological mechanisms behind delayed complications are still not well understood, and COVID-19 is anticipated to alter the long-term trajectory of chronic cardiac diseases. Research is ongoing to evaluate treatment strategies for long COVID and its associated cardiovascular sequelae.
EUROPEAN HEART JOURNAL
(2022)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
David A. Bluemke
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Susanna I. Lee, David A. Bluemke
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Mark Schiebler, David Bluemke
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Anna Trofimova, David A. Bluemke
Article
Radiology, Nuclear Medicine & Medical Imaging
Theo Pezel, Bharath Ambale-Venkatesh, Thiago Quinaglia, Susan R. Heckbert, Yoko Kato, Henrique Doria de Vasconcellos, Colin O. Wu, Wendy S. Post, Patrick Henry, David A. Bluemke, Joao A. C. Lima
Summary: The left atrioventricular coupling index and its change can serve as independent predictors of atrial fibrillation, providing valuable prognostic information.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Prashant Nagpal, David A. Bluemke
Article
Radiology, Nuclear Medicine & Medical Imaging
Charlene A. Mauger, Kathleen Gilbert, Avan Suinesiaputra, David A. Bluemke, Colin O. Wu, Joao A. C. Lima, Alistair A. Young, Bharath Ambale-Venkatesh
Summary: This study aimed to quantify the relationship between left ventricular (LV) three-dimensional shape at MRI and incident cardiovascular events over 10 years. Results showed that adding LV remodeling signatures to traditional cardiovascular risk factors improved the prediction of heart failure, coronary heart disease, and cardiovascular disease events over 10 years.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Michael A. Jacobs
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
David A. Bluemke
Article
Cardiac & Cardiovascular Systems
Maria Doughan, Omar Chehab, Henrique Doria de Vasconcellos, Ralph Zeitoun, Vinithra Varadarajan, Bassel Doughan, Colin O. Wu, Michael J. Blaha, David A. Bluemke, Joao A. C. Lima
Summary: A self-reported history of periodontal disease was found to be associated with increased measures of interstitial myocardial fibrosis in men, but not in women. This suggests a possible link between periodontal disease and subclinical myocardial fibrosis.
JOURNAL OF THE AMERICAN HEART ASSOCIATION
(2023)
Article
Urology & Nephrology
Faeq Husain-Syed, Matthew F. DiFrancesco, Rajat Deo, R. Graham Barr, Julia J. Scialla, David A. Bluemke, Richard A. Kronmal, Joao A. C. Lima, Amy Praestgaard, Russell P. Tracy, Michael Shlipak, Steven M. Kawut, John S. Kim
Summary: Low glomerular filtration rate (GFR) and increased albuminuria are associated with all-cause and cardiovascular mortality. Limited data are available on the independent associations of GFR and albuminuria with cardiac morphology, especially in early chronic kidney disease (CKD). This study found that reductions in eGFR within the normal range and higher albuminuria were associated with smaller right ventricular volumes, and albuminuria had a stronger association with mortality among those with smaller RV volumes.
CLINICAL KIDNEY JOURNAL
(2023)
Article
Oncology
Yilin Cao, Vishwa S. Parekh, Emerson Lee, Xuguang Chen, Kristin J. Redmond, Jay J. Pillai, Luke Peng, Michael A. Jacobs, Lawrence R. Kleinberg
Summary: We propose a new framework called tumor connectomics, which combines complex graph theory and multiparametric radiomics, to distinguish radiation necrosis (RN) from true progression (TP) in brain metastases. Our method utilizes MRI-based features, clinical and treatment factors, and machine-learning techniques to achieve accurate classification. The combined features of connectomics and radiomics achieved high sensitivity, specificity, and AUC values in distinguishing TP from RN.
Article
Radiology, Nuclear Medicine & Medical Imaging
Tarek Zghaib, Thiago Quinaglia A. C. Silva, Bharath Ambale-Venkatesh, Eric Xie, Mohammad R. Ostovaneh, Mohammadali Habibi, David A. Bluemke, Elsayed Z. Soliman, Colin O. Wu, Susan R. Heckbert, Saman Nazarian, Joao A. C. Lima
Summary: The purpose of this study was to investigate the prevalence and correlates of left atrial late gadolinium enhancement (LGE) at cardiac MRI and its association with atrial fibrillation (AF). The results showed that LA LGE was associated with adverse atrial remodeling and independently predicted the development of AF in a multiethnic population-based sample.
RADIOLOGY-CARDIOTHORACIC IMAGING
(2023)
Review
Cardiac & Cardiovascular Systems
Betty Raman, David A. Bluemke, Thomas F. Luscher, Stefan Neubauer
Summary: Long COVID, a condition characterized by the persistence of COVID-19 symptoms beyond 3 months, is expected to significantly impact the lives of millions of people globally. Cardiopulmonary symptoms are common and associated with disability, anxiety, and public awareness. Various cardiovascular abnormalities have been reported, but the pathophysiological mechanisms are still poorly understood.
EUROPEAN HEART JOURNAL
(2022)