Article
Radiology, Nuclear Medicine & Medical Imaging
Martin Loh, Tobit Fuehres, Christoph Stuprich, Michael Uder, Marc Saake, Frederik Bernd Laun
Summary: This study compared the differences in IVIM parameters in the liver between different slice settings, and found that there were no significant differences in the parameters between studies using few slices and many slices.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tobit Fuehres, Andreas Julian Riexinger, Martin Loh, Jan Martin, Andreas Wetscherek, Tristan Anselm Kuder, Michael Uder, Bernhard Hensel, Frederik Bernd Laun
Summary: The purpose of this study was to investigate the TE-dependence of IVIM parameters and to check if the triexponential pseudodiffusion compartments are associated with arterial and venous blood. TE-dependence was observed for f, f(1) and f(2), while D, D*, D1* and D2* showed no significant TE-dependence. It was found that f(1) and f(2) exhibit a similar TE-dependence as f, suggesting that the triexponential pseudodiffusion compartments are most probably not associated with arterial and venous blood.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Eyesha Hashim, Darren A. Yuen, Anish Kirpalani
Summary: Quantification of renal flow using IVIM-DWI has the potential to serve as a surrogate measure of IRI severity to estimate the degree of and recovery from DGF. Study results show that IVIM-DWI parameters are negatively correlated with the time to recovery related to MRI.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Multidisciplinary Sciences
Qing Hu, Peipei Jiang, Yongjing Feng, Yan Xu, Nan Zhou, Weibo Chen, Li Zhu, Yali Hu, Zhengyang Zhou
Summary: IVIM MR imaging shows potential in evaluating endometrial fibrosis, with a combination model of ADC, D, and f values demonstrating good diagnostic accuracy. ADC performed better than ET in diagnosis, and reproducibility of IVIM parameters was good to excellent, indicating their potential as imaging biomarkers for noninvasive assessment of endometrial fibrosis.
SCIENTIFIC REPORTS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mona Bagheri, Farzaneh Ghorbani, Hossein Akbari-Lalimi, Hadi Akbari-Zadeh, Mohsen Asadinezhad, Afshin Shafaghi, Alireza Montazerabadi
Summary: This study aims to compare three different image processing methods on the quantitative parameters of IVIM sequence for benign and malignant liver tumors. The results indicate that using the extrapolated f method is the most effective way to distinguish liver lesions using IVIM parameters.
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
(2023)
Article
Neurosciences
Yen-Peng Liao, Shin-ichi Urayama, Tadashi Isa, Hidenao Fukuyama
Summary: The study proposed an optimal model mapping method to improve the reliability of perfusion parameter estimation in IVIM study, finding Gaussian, Kurtosis, and Gamma models optimal for different brain tissues. Using the optimal model mapping method resulted in more reliable estimations of perfusion fraction and pseudo diffusion coefficient compared to conventional methods, potentially providing additional information for clinical diagnosis.
FRONTIERS IN HUMAN NEUROSCIENCE
(2021)
Article
Mathematics
Jingting Yao, Muhammad Ali Raza Anjum, Anshuman Swain, David A. Reiter
Summary: This study introduces the IVIM and FFD models based on DWI for skeletal muscle perfusion and provides a mathematical framework for direct transformation of parameters between the two models. In vivo DWI measurements in skeletal muscle are analyzed using both models, demonstrating the difficulty of model selection based on goodness of fit to experimental data. This analysis offers a framework for interpreting and harmonizing perfusion parameters using IVIM and FFD models.
Article
Clinical Neurology
K. Yamashita, R. Kamei, H. Sugimori, T. Kuwashiro, S. Tokunaga, K. Kawamata, K. Furuya, S. Harada, J. Maehara, Y. Okada, T. Noguchi
Summary: The study evaluated the usefulness of intravoxel incoherent motion MR imaging in patients with acute ischemic stroke, showing high interobserver agreement and potential clinical utility in determining treatment strategies for patients, particularly in assessing the presence of presumed penumbral regions.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Elisa Scalco, Alfonso Mastropietro, Giovanna Rizzo, Ettore Lanzarone
Summary: This paper presents an improved IVIM model fitting method that combines clustering and CAR model, which can provide more reliable estimation of IVIM coefficients.
APPLIED SCIENCES-BASEL
(2022)
Article
Pharmacology & Pharmacy
Arturas Ziemys, Vladimir Simic, Miljan Milosevic, Milos Kojic, Yan Ting Liu, Kenji Yokoi
Summary: The compromised perfusion in breast cancer liver metastases may hinder therapeutic drug delivery due to inadequate blood pressure gradients. Computational simulations show that smaller tumors can experience reduced blood flow, potentially limiting tumor perfusion. The most beneficial locations for tumor growth based on blood flow and oxygen access were found to be the acinus and portal vessel locations within the liver lobule.
Article
Oncology
Mihaela Rata, Khurum Khan, David J. Collins, Dow-Mu Koh, Nina Tunariu, Maria Antonietta Bali, James D'Arcy, Jessica M. Winfield, Simona Picchia, Nicola Valeri, Ian Chau, David Cunningham, Matteo Fassan, Martin O. Leach, Matthew R. Orton
Summary: This study compared the use of DCE-MRI and IVIM-DWI methods in assessing response to anti-angiogenic treatment in colorectal liver metastases patients. It was found that DCE-MRI parameters significantly decreased post-treatment, while only the non-perfusion parameter D increased significantly in IVIM-DWI, with no change in perfusion-related parameters.
Article
Medicine, General & Internal
Milica Mitrovic-Jovanovic, Aleksandra Djuric-Stefanovic, Keramatollah Ebrahimi, Marko Dakovic, Jelena Kovac, Dimitrije Sarac, Dusan Saponjski, Aleksandra Jankovic, Ognjan Skrobic, Predrag Sabljak, Marjan Micev
Summary: The study aimed to evaluate the role of CT features, CT-perfusion, and MR-DWI related parameters in predicting the metastatic risk of gastric GIST. Results showed significant predictors for high-risk GIST.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alessandra Maiuro, Giada Ercolani, Francesca Di Stadio, Amanda Antonelli, Carlo Catalano, Lucia Manganaro, Silvia Capuani
Summary: This study aimed to investigate the potential of the two-perfusion model in differentiating between normal and abnormal placentas. The results showed that there were correlations between the parameters of the two-perfusion model and the pathological conditions of the placenta in different regions. The conclusion is that the two-perfusion model provides complementary information to IVIM parameters and may be helpful in identifying placenta impairment.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Diego Hernando, Yuxin Zhang, Ali Pirasteh
Summary: Diffusion MRI plays a significant role in evaluating abdominal and pelvic disease processes, with quantitative diffusion MRI offering improved standardization of tissue characterization, despite facing challenges such as acquisition artifacts, signal modeling limitations, and biological variability.
Article
Radiology, Nuclear Medicine & Medical Imaging
Haoyuan Huang, Baoer Liu, Yikai Xu, Wu Zhou
Summary: This study proposes a deep-learning model with synthetic-to-real domain adaptation to fit the IVIM model parameters of DWI. The results demonstrate that the proposed method outperforms previously reported methods in terms of fitting accuracy and noise robustness.
Review
Radiology, Nuclear Medicine & Medical Imaging
Christoph J. Zech, Ahmed Ssalamah, Thomas Berg, Hersh Chandarana, Gar-Yang Chau, Luigi Grazioli, Myeong-Jin Kim, Jeong Min Lee, Elmar M. Merkle, Takamichi Murakami, Jens Ricke, Claude B. Sirlin, Bin Song, Bachir Taouli, Kengo Yoshimitsu, Dow-Mu Koh
EUROPEAN RADIOLOGY
(2020)
Article
Radiology, Nuclear Medicine & Medical Imaging
An Tang, Karma Abukasm, Guilherme Moura Cunha, Bin Song, Jin Wang, Mathilde Wagner, Christoph F. Dietrich, Giuseppe Brancatelli, Kazuhiko Ueda, Jin-Young Choi, Diego Aguirre, Claude B. Sirlin
Summary: This international survey on imaging practices for HCC showed variations in practices and recommendations across geographical regions, highlighting the need for a unified diagnostic system to address regional differences and improve inter-reader agreement.
ABDOMINAL RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Houchun H. Hu, Takeshi Yokoo, Mustafa R. Bashir, Claude B. Sirlin, Diego Hernando, Dariya Malyarenko, Thomas L. Chenevert, Mark A. Smith, Suraj D. Serai, Michael S. Middleton, Walter C. Henderson, Gavin Hamilton, Jean Shaffer, Yunhong Shu, Jean A. Tkach, Andrew T. Trout, Nancy Obuchowski, Jean H. Brittain, Edward F. Jackson, Scott B. Reeder
Summary: This study aimed to evaluate the accuracy of CSE MRI methods for estimating PDFF, showing high correlation within the biologically relevant PDFF range. The slopes and intercepts across vendors and field strengths were within acceptable ranges, indicating that PDFF estimation using CSE MRI is accurate in different settings.
Article
Radiology, Nuclear Medicine & Medical Imaging
Nikita Consul, Claude B. Sirlin, Victoria Chernyak, David T. Fetzer, William R. Masch, Sandeep S. Arora, Richard K. G. Do, Robert M. Marks, Kathryn J. Fowler, Amir A. Borhani, Khaled M. Elsayes
Summary: Liver lesions exhibit various enhancement patterns at dynamic contrast-enhanced imaging, with LI-RADS utilizing enhancement kinetics for HCC diagnosis. Understanding and analyzing these spatial and temporal features is crucial for accurate characterization of liver masses. Focus is on patterns such as targetoid appearance, rim arterial phase hyperenhancement, and peripheral discontinuous nodular enhancement, which can aid in specific HCC diagnosis and treatment response assessment.
Article
Radiology, Nuclear Medicine & Medical Imaging
Christian B. van der Pol, Matthew D. F. McInnes, Jean-Paul Salameh, Brooke Levis, Victoria Chernyak, Claude B. Sirlin, Mustafa R. Bashir, Brian C. Allen, Lauren M. B. Burke, Jin-Young Choi, Sang Hyun Choi, Alejandro Forner, Tyler J. Fraum, Alice Giamperoli, Hanyu Jiang, Ijin Joo, Zhen Kang, Andrea S. Kierans, Hyo-Jin Kang, Gaurav Khatri, Jung Hoon Kim, Myeong-Jin Kim, So Yeon Kim, Yeun-Yoon Kim, Heejin Kwon, Jeong Min Lee, Sara C. Lewis, Katrina A. McGinty, Lorenzo Mulazzani, Mi-Suk Park, Fabio Piscaglia, Joanna Podgorska, Caecilia S. Reiner, Maxime Ronot, Grzegorz Rosiak, Bin Song, Ji Soo Song, An Tang, Eleonora Terzi, Jin Wang, Wei Wang, Stephanie R. Wilson, Takeshi Yokoo
Summary: The major features of the Liver Imaging Reporting and Data System (LI-RADS) have different independent associations with hepatocellular carcinoma (HCC). Arterial phase hyperenhancement and washout have the strongest associations with HCC in CT/MRI, while threshold growth has no association. In CEUS images, APHE, late and mild washout, and a size of at least 20 mm are associated with HCC.
Article
Nutrition & Dietetics
Desiree M. Sigala, Bettina Hieronimus, Valentina Medici, Vivien Lee, Marinelle Nunez, Andrew A. Bremer, Chad L. Cox, Candice A. Price, Yanet Benyam, Yasser Abdelhafez, John P. McGahan, Nancy L. Keim, Michael Goran, Giovanni Pacini, Andrea Tura, Claude B. Sirlin, Abhijit J. Chaudhari, Peter J. Havel, Kimber L. Stanhope
Summary: This study examined the dose-response effects of consuming high fructose corn syrup (HFCS)-sweetened beverages on hepatic lipid content and insulin sensitivity. The results showed that consuming HFCS-sweetened beverages was associated with an increase in hepatic lipid content and a decrease in insulin sensitivity. These findings strengthen the mechanistic evidence linking HFCS-sweetened beverage consumption to metabolic dysregulation, nonalcoholic fatty liver disease, and type 2 diabetes risk.
Correction
Radiology, Nuclear Medicine & Medical Imaging
Mark Barahman, Eduardo Grunvald, Pablo J. Prado, Alejandro Bussandri, Walter C. Henderson, Tanya Wolfson, Kathryn J. Fowler, Claude B. Sirlin
MAGNETIC RESONANCE IN MEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Sunyoung Lee, Yeun-Yoon Kim, Jaeseung Shin, Won Jeong Son, Yun Ho Roh, Jin-Young Choi, Claude B. Sirlin, Victoria Chernyak
Summary: The study aimed to estimate the percentages of hepatocellular carcinoma (HCC) and overall malignancy for each LI-RADS category using CT and MRI. The pooled percentages of HCC and overall malignancy did not differ between CT, MRI with extracellular contrast agents, and MRI with gadoxetate for any LI-RADS category.
Article
Computer Science, Interdisciplinary Applications
Jinyang Wang, Xiaoben Li, Mengyuan Ma, Changqing Wang, Claude B. Sirlin, Scott B. Reeder, Diego Hernando
Summary: This study aimed to model hepatic steatosis in adult humans with non-alcoholic fatty liver disease based on the stereology and spatial distribution of fat droplets. Histological analysis of liver biopsy specimens was performed, and the morphological features of fat droplets were characterized using the gamma distribution function in 2D and 3D spaces. Correlation analysis showed a strong relationship between the morphological features and fat fraction. Monte Carlo modeling was used to simulate the distribution of fat droplets in tissue. This study provides insights into the MRI signal behavior in the presence of liver steatosis.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Victoria Chernyak, Kathryn J. Fowler, Richard K. G. Do, Aya Kamaya, Yuko Kono, An Tang, Donald G. Mitchell, Jeffrey Weinreb, Cynthia S. Santillan, Claude B. Sirlin
Summary: Since its release in 2011, LI-RADS has evolved from a single algorithm for HCC diagnosis to a multialgorithm system covering all major liver imaging modalities. It has achieved global adoption in clinical care and research and unified HCC diagnostic systems in the US. However, there are still gaps in knowledge, such as challenges in surveillance, diagnostic population definition, and reporting. Future directions will focus on addressing these challenges and incorporating advanced technologies to create a probability-based system for liver cancer diagnosis and prognostication.
Letter
Radiology, Nuclear Medicine & Medical Imaging
Alexandra Roudenko, Zachary Berman, Joshua Cornman-Homonoff, Neil Halin, Mark Kleedehn, Kathryn J. Fowler, Mishal Mendiratta-Lalla, Victoria Chernyak, Claude B. Sirlin, Guilherme Moura Cunha
JOURNAL OF VASCULAR AND INTERVENTIONAL RADIOLOGY
(2023)
Review
Gastroenterology & Hepatology
Daniel Q. Q. Huang, Amit G. Singal, Fasiha Kanwal, Pietro Lampertico, Maria Buti, Claude B. Sirlin, Mindie H. Nguyen, Rohit Loomba
Summary: In this review, the authors discuss the current status of hepatocellular carcinoma (HCC) surveillance and the challenges that remain. They highlight the changing causes of liver disease and the need for strategies to improve the utilization and quality of surveillance. The underutilization of surveillance is attributed to limited disease awareness, knowledge gaps, and difficulty in identifying high-risk individuals. Non-alcoholic fatty liver disease and alcohol-associated liver disease are emerging as significant causes of HCC-related death, posing unique barriers to surveillance. The sensitivity of current surveillance approaches is limited, especially for patients with cirrhosis or obesity.
NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoyang Liu, Stephanie B. M. Tan, Muhammad O. Awiwi, Hyun-Jung Jang, Victoria Chernyak, Kathryn J. Fowler, Akram M. Shaaban, Claude B. Sirlin, Alessandro Furlan, Robert M. Marks, Khaled M. Elsayes
Summary: Cirrhosis, the end stage of chronic liver disease, is a major risk factor for hepatocellular carcinoma (HCC). Benign and malignant lesions in cirrhosis can have both typical and atypical imaging features, which can be accurately diagnosed through various imaging modalities.
Review
Oncology
Guilherme Moura Cunha, Victoria Chernyak, Kathryn J. Fowler, Claude B. Sirlin
Summary: Hepatocellular carcinoma is a major cause of mortality worldwide, with CT and MRI playing a pivotal role in diagnosis and treatment. Standardization through LI-RADS helps in proper imaging technique and personalized patient management.
JOURNAL OF HEPATOCELLULAR CARCINOMA
(2021)
Meeting Abstract
Gastroenterology & Hepatology
Veeral H. Ajmera, Jinho Jung, Keshin Purohit, Scarlett Lopez, Egbert Madamba, Sonia Bajwa-Dulai, Richele Bettencourt, Lisa M. Richards, Kathryn Fowler, Claude B. Sirlin, Rohit Loomba
Article
Radiology, Nuclear Medicine & Medical Imaging
Slimane Tounekti, Mahdi Alizadeh, Devon Middleton, James S. Harrop, Bassem Hiba, Laura Krisa, Choukri Mekkaoui, Feroze B. Mohamed
Summary: This study proposes and demonstrates a new method combining reduced field-of-view strategy with phase segmented EPI to address geometric distortion in post-operative DTI scans of patients with metal implants. The results show that the new method outperforms traditional techniques in reducing distortion.
MAGNETIC RESONANCE IMAGING
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Silvia Minosse, Eliseo Picchi, Valentina Ferrazzoli, Noemi Pucci, Valerio Da Ros, Raffaella Giocondo, Roberto Floris, Francesco Garaci, Francesca Di Giuliano
Summary: The aim of this study was to investigate the variation of DCE-MRI-derived kinetic parameters in brain tumors as a function of acquisition time. The results showed that K-ep and V-e were time-dependent and required longer scan times to obtain reliable parameter values, while K-trans was time-independent and remained the same in all acquisition times, making it a reliable parameter for short acquisition times.
MAGNETIC RESONANCE IMAGING
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xingmin Guan, Xinheng Zhang, Hsin-Jung Yang, Rohan Dharmakumar
Summary: This study aims to investigate why DIR-prepared dark-blood T2* weighted images have lower SNR, CNR, and diagnostic accuracy for intramyocardial hemorrhage (IMH) detection compared to non-DIR-prepared bright-blood T2* images. Through phantom and animal studies, it was confirmed that the signal loss on DIR-prepared T2* images mainly originates from spin-relaxation during the DIR preparation. Therefore, when used for IMH detection, extra attention should be paid to the SNR of DIR-prepared dark-blood T2* imaging protocols.
MAGNETIC RESONANCE IMAGING
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Beatriz Laureano, Hassna Irzan, Helen OReilly, Sebastian Ourselin, Neil Marlow, Andrew Melbourne
Summary: Prematurity and preterm stressors have significant effects on the development of infants, especially at earlier gestations. While neonatal care advances have reduced preterm mortality rates, disability rates continue to grow in middle-income settings. Imaging the preterm brain using MR technology has improved our understanding of its development and the affected regions and networks. This research aims to support interventions, improve neurodevelopment, and provide accurate prognoses for preterm infants. This study focuses on the fully developed brain of extremely preterm subjects and examines myelin-related biomarkers to assess long-term effects. The findings suggest altered connectivity and cognitive outcomes in the adult preterm brain.
MAGNETIC RESONANCE IMAGING
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Julian Rauch, Frederik B. Laun, Peter Bachert, Mark E. Ladd, Tristan A. Kuder
Summary: This study presents a method for reducing concomitant field effects in double diffusion encoding (DDE) sequences by adding oscillating gradient pulses. The modified sequences successfully reduced accumulated concomitant phase without significant changes in the original sequence characteristics. The proposed method led to an increase in signal-to-noise ratio (SNR) for phantom and in vivo experiments, supported by simulations.
MAGNETIC RESONANCE IMAGING
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Marlon Bran Lorenzana, Shekhar S. Chandra, Feng Liu
Summary: Sparse reconstruction is important in MRI for reducing acquisition time and improving spatial-temporal resolution. This paper introduces two decoupling techniques for explicit 1D regularization and a combined 1D + 2D reconstruction technique that improves image quality.
MAGNETIC RESONANCE IMAGING
(2024)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yifan Gou, W. Christopher Golden, Zixuan Lin, Jennifer Shepard, Aylin Tekes, Zhiyi Hu, Xin Li, Kumiko Oishi, Marilyn Albert, Hanzhang Lu, Peiying Liu, Dengrong Jiang
Summary: ARTS algorithm improves the reliability of Y-v estimation in noncompliant subjects, enhancing the utility of Y-v as a biomarker for brain diseases.
MAGNETIC RESONANCE IMAGING
(2024)
