Article
Neurosciences
Rita Oliveira, Andria Pelentritou, Giulia Di Domenicantonio, Marzia De Lucia, Antoine Lutti
Summary: This study presents a novel approach that allows the estimation of morphological features of axonal fibers from data acquired in vivo in humans. The proposed approach is based on a biophysical model of Magnetic Resonance Imaging (MRI) data and of axonal conduction velocity estimates obtained with Electroencephalography (EEG).
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Lu-Jun Luo, Xiu-Mei Liu, Xiao Zhang, Jiao Liu, Yuanyuan Gao, Tong-Yi Sun, Li-Li Li
Summary: In this study, a sensitive and quantitative MRI method was developed to calculate the aggregation degree (α(agg)), which showed a high fitting degree with the gold standard fluorescence method and contributed to enhanced T-1-weighted MR imaging of M2 macrophages in tumors.
Article
Radiology, Nuclear Medicine & Medical Imaging
Catherine A. Spilling, Franklyn A. Howe, Thomas R. Barrick
Summary: This study optimized the b-value selection for rapid clinical acquisition of QDTI data and demonstrated the robust parameterization of non-Gaussian diffusion signal decay provided by QDI in clinically feasible imaging times. The findings highlight the importance of optimizing diffusion MRI for in vivo brain imaging.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Neurosciences
Daniel Z. L. Kor, Saad Jbabdi, Istvan N. Huszar, Jeroen Mollink, Benjamin C. Tendler, Sean Foxley, Chaoyue Wang, Connor Scott, Adele Smart, Olaf Ansorge, Menuka Pallebage-Gamarallage, Karla L. Miller, Amy F. D. Howard
Summary: This study introduces an automated pipeline for extracting quantitative histological measures from immunohistochemical stains and correlating them with MRI parameters. The pipeline is reproducible, robust to artifacts and can be applied to multiple stains. Partial correlation results suggest caution in interpreting simple correlations between MRI and histological measures due to potential co-localization of other tissue features.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ella Wilczynski, Efrat Sasson, Uzi Eliav, Gil Navon, Uri Nevo
Summary: This study investigates the microstructural changes in liver disease using quantitative MRI. The MEX sequence and its derived macromolecular fraction are found to be correlated with collagen deposition and inflammation. This research is significant for liver fibrosis models.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Review
Physics, Applied
Nikolaus Weiskopf, Luke J. Edwards, Gunther Helms, Siawoosh Mohammadi, Evgeniya Kirilina
Summary: Quantitative magnetic resonance imaging and in vivo histology aim to characterize tissue microstructure of living brain, providing deeper understanding of MRI tissue contrast and more accurate image parameters as compared to traditional histology methods.
NATURE REVIEWS PHYSICS
(2021)
Article
Engineering, Multidisciplinary
Xiaozhen Zhang, Jinsong Yang, Tiantian Wang, Jingsong Xie, Longzhen Tian
Summary: This paper presents a new fatigue crack size quantification method under a variable temperature environment based on a Gaussian mixture model (GMM). A series of damage indexes are proposed to characterize the interaction mechanism between the signal and crack under temperature change. The effectiveness of the method is validated through fatigue crack experiments in a variable temperature environment.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Article
Materials Science, Biomaterials
Weijie Zhang, Yunxia Lv, Fangjun Huo, Yongbin Zhang, Caixia Yin
Summary: A viscosity-sensitive and hepatic-targeted NIR fluorescent probe has been developed for early diagnosis of hepatic fibrosis. The changes in liver viscosity upon hepatotoxicity and treatment offer promising clinical applications.
JOURNAL OF MATERIALS CHEMISTRY B
(2022)
Article
Chemistry, Analytical
Kseniya S. Shin, Shuaiqian Men, Angel Wong, Colburn Cobb-Bruno, Eleanor Y. Chen, Dan Fu
Summary: A multimodal quantitative imaging approach combining SRS, TPF, and SHG microscopy can provide useful diagnostic information for bone tissue, with the potential to separate bone cancer-associated diagnostic categories with an average accuracy of 92%.
ANALYTICAL CHEMISTRY
(2022)
Article
Biochemical Research Methods
Angela M. Jarrett, Anum S. Kazerouni, Chengyue Wu, John Virostko, Anna G. Sorace, Julie C. DiCarlo, David A. Hormuth, David A. Ekrut, Debra Patt, Boone Goodgame, Sarah Avery, Thomas E. Yankeelov
Summary: This protocol outlines a comprehensive pipeline for using quantitative MRI data to predict the response of locally advanced breast cancer to neoadjuvant therapy, involving image acquisition, segmentation, and mathematical modeling. Successful application of the protocol results in personalized predictions for individual patients' tumor responses to therapy.
Article
Radiology, Nuclear Medicine & Medical Imaging
Ping Liang, Guanjie Yuan, Shichao Li, Kangwen He, Yang Peng, Daoyu Hu, Zhen Li, Zufu Ma, Chuou Xu
Summary: The objective of this study was to compare the diagnostic performance of diffusion kurtosis imaging (DKI) and incoherent intravoxel movement (IVIM) with conventional diffusion-weighted imaging (DWI) in evaluating the clinical and pathological characteristics of chronic kidney disease (CKD). The results showed that DKI and IVIM provided more valuable information than ADC values and could assist in the auxiliary diagnosis and clinical management of CKD patients.
BRITISH JOURNAL OF RADIOLOGY
(2022)
Review
Immunology
P. Nwaubani, M. Cercignani, A. Colasanti
Summary: The hippocampus is a crucially involved brain region in neuroinflammation, with specific subregions being vulnerable to pathology in ex-vivo studies. Despite methodological challenges, optimizing neuroimaging techniques could help study the functional consequences of hippocampal neuroinflammation and define therapeutic end-points. Current imaging studies in autoimmune neuroinflammatory conditions showed inconsistent results, with future directions aimed at improving precision and sensitivity in characterizing hippocampal neuroinflammatory pathology.
CLINICAL AND EXPERIMENTAL IMMUNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Marek Smieja, Maciej Wolczyk, Jacek Tabor, Bernhard C. Geiger
Summary: SeGMA is a semi-supervised generative model that efficiently learns the joint probability distribution of data and classes, achieving good generative performance and additional features such as interpolation, continuous style transfer, and intensity adjustment of class characteristics in data points.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Neurosciences
Peter McColgan, Saskia Helbling, Lenka Vaculciakova, Kerrin Pine, Konrad Wagstyl, Fakhereh Movahedian Attar, Luke Edwards, Marina Papoutsi, Yongbin Wei, Martijn Pieter Van den Heuvel, Sarah J. Tabrizi, Geraint Rees, Nikolaus Weiskopf
Summary: The study demonstrates that R2* is highly correlated with layer-specific cell number and gene expression across cortical depths, while R1 is not. Additionally, the R1- and R2*-weighted connectivity strength of cortico-striatal and intra-hemispheric cortical white matter connections is highly correlated with grey matter R1 and R2* across cortical depths.
HUMAN BRAIN MAPPING
(2021)
Review
Radiology, Nuclear Medicine & Medical Imaging
Wadha Alyami, Andre Kyme, Roger Bourne
Summary: Validating MRI techniques for tissue characterization and disease-related tissue alterations requires rigorous validation with ground truth information such as histology. Direct correlation methods between histology and MRI often fail due to spatial errors. Standard protocols for clinical tissue processing and histology-based pathology reporting can be modified to address some of these errors, without compromising the clinical process. This review summarizes the advantages and limitations of MRI validation techniques based on coregistration of MRI with whole-mount histology of tissue specimens.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Gastroenterology & Hepatology
Tolga Gidener, Ross A. Dierkhising, Kristin C. Mara, Terry M. Therneau, Sudhakar K. Venkatesh, Richard L. Ehman, Meng Yin, Alina M. Allen
Summary: This study investigated the progression of NAFLD using longitudinal liver stiffness measurements and found that it is associated with liver-related outcomes.
Letter
Gastroenterology & Hepatology
Tolga Gidener, Ross Dierkhising, Kristin C. Mara, Terry M. Therneau, Sudhakar K. Venkatesh, Richard L. Ehman, Meng Yin, Alina M. Allen
Review
Pathology
Michael Torbenson, Sudhakar K. Venkatesh, Thorvardur R. Halfdanarson, Patrick J. Navin, Patrick Kamath, Lori A. Erickson
Summary: Primary hepatic neuroendocrine tumors and primary hepatic neuroendocrine carcinomas are rare and challenging to diagnose if they are primary to the liver or metastatic. The lack of a uniform definition for primary hepatic neuroendocrine neoplasms hinders understanding and treatment of these rare tumors. This article proposes a multidisciplinary definition and guidelines for diagnosing a neuroendocrine tumor/neuroendocrine carcinomas as being primary to the liver.
Review
Obstetrics & Gynecology
Kyle E. Robinson, Ali D. Tahbouh Amawi, Sudhakar K. Venkatesh, Jorge Torres-Mora, Ellen West, Amanika Kumar
Summary: This study reports a case of a 24-year-old female with chronic pelvic pain caused by a vulvar glomangioma. Diagnosis was made through magnetic resonance imaging and biopsy, followed by appropriate surgical management. She was found to have a heterozygous GLMN gene mutation.
GYNECOLOGIC ONCOLOGY REPORTS
(2022)
Article
Pathology
Gwyneth S. T. Soon, Saba Yasir, Tsung-Teh Wu, Christopher Welle, Sudhakar K. Venkatesh, Michael S. Torbenson, Zongming Eric Chen
Summary: Newer radiotherapy techniques, such as stereotactic body radiation, are increasingly used in the treatment of cholangiocarcinomas, particularly as a bridge to liver transplantation. However, these high-dose therapies result in tissue injury in the peritumoral liver tissue. This retrospective study characterized the morphologic changes in the liver after stereotactic body radiation and found that the changes in the radiated areas were more extensive than in the background liver.
AMERICAN JOURNAL OF SURGICAL PATHOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Matthew C. Pope, Michael C. Olson, Kristina T. Flicek, Neema J. Patel, Candice W. Bolan, Christine O. Menias, Zhen Wang, Sudhakar K. Venkatesh
Summary: This study reviewed the imaging findings of chemotherapy-associated liver morphological changes in hepatic metastases (CALMCHeM) on CT/MRI and its association with tumor burden. The results showed that there were significant morphological changes in the liver after chemotherapy, and the severity of the changes was associated with the initial metastatic liver disease burden.
DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY
(2023)
Article
Gastroenterology & Hepatology
Jiahui Li, Xin Lu, Zheng Zhu, Kyle J. Kalutkiewicz, Taofic Mounajjed, Terry M. Therneau, Sudhakar K. Venkatesh, Yi Sui, Kevin J. Glaser, Safa Hoodeshenas, Armando Manduca, Vijay H. Shah, Richard L. Ehman, Alina M. Allen, Meng Yin
Summary: This study explored the performance of several magnetic resonance imaging parameters in diagnosing at-risk NASH. Magnetic resonance elastography-assessed liver stiffness (LS) showed the highest accuracy in diagnosing at-risk NASH. Proton density fat fraction (PDFF) had the highest performance in diagnosing NASH with any fibrosis stage.
Editorial Material
Oncology
Behzad Ebrahimi, Andrew Howard, David J. Carlson, Hania Al-Hallaq
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Marika A. Pitot, Ali D. Tahboub Amawi, Lauren F. Alexander, Jordan D. LeGout, Lara Walkoff, Patrick J. Navin, Akira Kawashima, Adam J. Wood, Angela Dispenzieri, Sudhakar K. Venkatesh
Article
Radiology, Nuclear Medicine & Medical Imaging
Sarah Poetter-Lang, Alina Messner, Nina Bastati, Kristina I. Ringe, Maxime Ronot, Sudhakar K. Venkatesh, Raphael Ambros, Antonia Kristic, Aida Korajac, Gregor Dovjak, Martin Zalaudek, Jacqueline. C. Hodge, Christoph Schramm, Emina Halilbasic, Michael Trauner, Ahmed Ba-Ssalamah
Summary: T1-MRC was found to be superior to T2-MRCP in diagnosing and locating strictures, as well as predicting prognosis in patients with primary sclerosing cholangitis.
EUROPEAN RADIOLOGY
(2023)
Letter
Oncology
Behzad Ebrahimi, Andrew Howard, David J. Carlson, Hania Al-Hallaq
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Matthew A. Morgan, Rachita Khot, Karthik M. Sundaram, Daniel R. Ludwig, Rashmi T. Nair, Pardeep K. Mittal, Dhakshina M. Ganeshan, Sudhakar K. Venkatesh
Summary: Primary sclerosing cholangitis is a chronic disease that affects the bile ducts, leading to various complications. Imaging plays a crucial role in diagnosis and treatment.
ABDOMINAL RADIOLOGY
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Christopher L. Welle, Patrick J. Navin, Michael C. Olson, Safa Hoodeshenas, Michael S. Torbenson, Sudhakar K. Venkatesh
Summary: Primary sclerosing cholangitis is a chronic liver disease without effective medical treatment, and liver fibrosis is a crucial factor in patient outcome. Magnetic resonance elastography is an accurate non-invasive method for assessing liver fibrosis and is particularly important in evaluating PSC patients.
ABDOMINAL RADIOLOGY
(2023)
Article
Urology & Nephrology
Maroun Chedid, Christian Hanna, Ghaith Zaatari, Yaman Mkhaimer, Prajwal Reddy, Laureano Rangel, Dalia Zubidat, Daniel-Hasan Nabil Kaidbay, Maria V. Irazabal, Heidi M. Connolly, Sarah R. Senum, Charles D. Madsen, Marie C. Hogan, Ziad Zoghby, Peter C. Harris, Vicente E. Torres, Jonathan N. Johnson, Fouad T. Chebib
Summary: This study observed a higher frequency of CHD in ADPKD patients compared to the general population. Although only PKD1 pathogenic variants were identified, further research is needed to confirm this association and understand the role of polycystins in cardiac and vascular development.
AMERICAN JOURNAL OF NEPHROLOGY
(2022)
Article
Gastroenterology & Hepatology
Scott M. Thompson, Garima Suman, Michael S. Torbenson, Zong-Ming E. Chen, Danielle E. Jondal, Anurima Patra, Eric C. Ehman, James C. Andrews, Chad J. Fleming, Brian T. Welch, Anil N. Kurup, Lewis R. Roberts, Kymberly D. Watt, Mark J. Truty, Sean P. Cleary, Rory L. Smoot, Julie K. Heimbach, Nguyen H. Tran, Amit Mahipal, Jun Yin, Tyler Zemla, Chen Wang, Zachary Fogarty, Mark Jacobson, Bradley J. Kemp, Sudhakar K. Venkatesh, Geoffrey B. Johnson, David A. Woodrum, Ajit H. Goenka
Summary: PSMA expression is significantly higher in hepatocellular carcinoma compared to cholangiocarcinoma and hepatic adenoma, with a higher tumor grade associated with PSMA expression. PSMA expression correlates positively with FGF14 mRNA expression and negatively with MAD1L1 mRNA expression.
HEPATOLOGY COMMUNICATIONS
(2022)
