Article
Clinical Neurology
Sonia Mazzucchi, Eleonora Del Prete, Mauro Costagli, Daniela Frosini, Davide Paoli, Gianmichele Migaleddu, Paolo Cecchi, Graziella Donatelli, Riccardo Morganti, Gabriele Siciliano, Mirco Cosottini, Roberto Ceravolo
Summary: This study evaluated the diagnostic potential of a multimodal MRI protocol combining morphometric and quantitative susceptibility mapping (QSM) imaging in patients with determined parkinsonisms. The results showed that QSM had excellent diagnostic accuracy in distinguishing PD from PSP and good accuracy in distinguishing PD from MSA-p. Combining morphometric imaging and QSM could improve the diagnostic phase of degenerative parkinsonisms.
EUROPEAN JOURNAL OF NEUROLOGY
(2022)
Article
Neurosciences
Jingwen Yao, Melanie A. Morrison, Angela Jakary, Sivakami Avadiappan, Yicheng Chen, Johanna Luitjens, Julia Glueck, Theresa Driscoll, Michael D. Geschwind, Alexandra B. Nelson, Javier E. Villanueva-Meyer, Christopher P. Hess, Janine M. Lupo
Summary: This study evaluated the performance of different dipole inversion algorithms for iron-sensitive susceptibility imaging using 7T on healthy subjects and Huntington's disease patients. The results showed that single-step QSM methods with either total variation or total generalized variation constraints (SSTV/SSTGV) and the single-step deep learning method iQSM provided the best performance in terms of correlation with iron deposition and differentiation between healthy controls and premanifest HD individuals, while deep learning QSM methods trained with multiple-orientation susceptibility data created QSM maps that were most similar to the multiple orientation reference and with the best visual scores.
Review
Neurosciences
Yuto Uchida, Hirohito Kan, Keita Sakurai, Kenichi Oishi, Noriyuki Matsukawa
Summary: This review summarizes the latest advances in the diagnosis and pathological mechanisms of Alzheimer's disease, including the closer association of tau pathology rather than beta-amyloid pathology with the onset and progression of Alzheimer's symptoms, as well as the pathomechanism of altered iron metabolism interacting with abnormal proteins related to AD pathology. The study also investigates the association of cerebral susceptibility values with other pathological biomarkers for AD.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Neurosciences
Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei
Summary: In this study, a model-based deep learning architecture called MoDL-QSM was proposed to improve accuracy in quantifying tissue susceptibility in various brain diseases by considering the impact of susceptibility tensors, reducing streaking artifacts. The model integrates convolutional neural networks and a physical model, using phase induced by X-33 and X-13, X-23 terms as network training labels. The results demonstrated superior performance compared to other deep learning QSM methods, showing potential for future applications.
Article
Radiology, Nuclear Medicine & Medical Imaging
Gisela E. Hagberg, Korbinian Eckstein, Elisa Tuzzi, Jiazheng Zhou, Simon Robinson, Klaus Scheffler
Summary: The purpose of this study was to develop improved tissue masks for Quantitative Susceptibility Mapping (QSM). The study compared different methods of generating masks and evaluated their effects on QSM contrast and artifacts. The results showed that an automatic, phase-based masking method was able to mitigate artifacts and restore QSM contrast across different brain regions.
MAGNETIC RESONANCE IN MEDICINE
(2022)
Article
Biology
Zeyuan Chen, Xiulan Zhai, Zikuan Chen
Summary: In this paper, we address the issue of dealing with the oblique effect in quantitative susceptibility mapping (QSM) when using phase image matrix acquired from oblique MRI. We propose a method called tiltQSM, which involves matrix rotation of the phase image and dipole kernel in a preprocessing subroutine prior to regular QSM reconstruction. The results show that tiltQSM can achieve good performance for small tilting angles (<10°).
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Neurosciences
Bin Xiao, Naying He, Qian Wang, Feng Shi, Zenghui Cheng, Ewart Mark Haacke, Fuhua Yan, Dinggang Shen
Summary: This study compared the performance of a logistic regression model and CNN model in classifying PD patients and healthy controls with different SN labeling sets. The CNN model showed stable classification accuracy around 86.4%, whereas the conventional logistic regression model had a large fluctuation. By introducing a new gated pooling operation and integrating it with deep learning, the diagnosis accuracy was consistently improved to 86.9%, which was statistically better than the baseline.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jie Chen, Zhe Zhang, Ximing Nie, Yuyuan Xu, Chunlei Liu, Xingquan Zhao, Yongjun Wang
Summary: The study aimed to assess the thrombus susceptibility using quantitative susceptibility mapping (QSM) in acute ischemic stroke patients and explore its relationship with cardioembolic stroke. The results showed that thrombus susceptibility had superior diagnostic performance in distinguishing cardioembolic stroke from other stroke subtypes.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Fang Wang, Ming Zhang, Yan Li, Yufei Li, Hengfen Gong, Jun Li, Yuyao Zhang, Chencheng Zhang, Fuhua Yan, Bomin Sun, Naying He, Hongjiang Wei
Summary: This study found changes in brain iron deposition in patients with depression during antidepressant treatment. The changes in magnetic susceptibility values were linearly related to changes in depression symptoms and cognitive function. These results strengthen the understanding of alterations in brain iron levels associated with disease progression in late-life depression.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Article
Neurosciences
Chia-Ming Shih, Hsin-Chih Lo, Meng-Chi Hsieh, Jyh-Horng Chen
Summary: Functional quantitative susceptibility mapping (fQSM) was introduced in this study to complement BOLD-fMRI in quantitatively assessing local susceptibility and venous oxygen saturation (SvO(2)). Results showed that the susceptibility change of fQSM was four times larger than the BOLD signal change, with more restricted activation responses in the visual pathway compared to BOLD. This study demonstrated the feasibility, sensitivity, and specificity of fQSM, providing quantitative clues and localized information in small animal brains.
Review
Radiology, Nuclear Medicine & Medical Imaging
Yasutaka Fushimi, Satoshi Nakajima, Akihiko Sakata, Sachi Okuchi, Sayo Otani, Yuji Nakamoto
Summary: Quantitative susceptibility mapping (QSM) is a unique technique for quantitatively measuring tissue magnetic susceptibility using phase image data. It provides valuable information on physiological and pathological processes, such as iron deposition, hemorrhage, calcification, and myelin. Despite various studies on the clinical applications of QSM, particularly in clinical practice, there is still a lack of comprehensive examination. This review article provides an overview of the basics of QSM and its clinical applications in neuroradiology.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chun Ki Franklin Au, Jill Abrigo, Chunlei Liu, Wanting Liu, Jack Lee, Lisa Wing Chi Au, Queenie Chan, Sirong Chen, Eric Yim Lung Leung, Chi Lai Ho, Ho Ko, Vincent Chung Tong Mok, Weitian Chen
Summary: AD is associated with higher magnetic susceptibility in the fimbria compared with controls. QSM values showed significant differences between the control and early AD groups, and could be used for differentiation, with a model incorporating clinical and radiologic data correctly classifying up to 76% of subjects.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuki Kanazawa, Masafumi Harada, Yo Taniguchi, Hiroaki Hayashi, Takashi Abe, Maki Otomo, Yuki Matsumoto, Masaharu Ono, Kosuke Ito, Yoshitaka Bito, Akihiro Haga
Summary: This study developed a novel method using quantitative parameter mapping magnetic resonance imaging (QPM-MRI) to visualize contrast according to myelin components in the human brain. The method was validated through experiments with healthy volunteers and a clinical case analysis. The results showed that the method effectively demonstrated myelin-weighted contrast and had quantitative characteristics.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kai Luo, Anding Yu, Qinglin Fu, Liang Pan, Weiqiang Dou, Jinggang Zhang, Jie Chen
Summary: This study explores the feasibility of using quantitative susceptibility mapping (QSM) technique to evaluate the dynamic changes in the outer medulla during early stage of renal ischemia-reperfusion injury (IRI) in rabbits. The results indicate that QSM can be used as a noninvasive method to assess the dynamic changes in the outer medulla during early stage of renal IRI in rabbits.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Review
Oncology
Petra J. van Houdt, Yingli Yang, Uulke A. van der Heide
Summary: MRI-guided radiotherapy systems combine adaptive radiotherapy and biological targeting, updating treatment plans regularly to accommodate observed treatment responses. Quantitative imaging biomarkers are necessary for predicting treatment outcomes early in the process. This review provides an overview of the current evidence on the potential of quantitative MRI measurements as imaging biomarkers in MRI-guided radiotherapy systems.
FRONTIERS IN ONCOLOGY
(2021)
Article
Clinical Neurology
Kyuwon Lee, Brian Ellison, Magdy Selim, Ngo H. Long, Aristotelis Filippidis, Ajith J. Thomas, Pascal Spincemaille, Yi Wang, Salil Soman
Summary: QSM demonstrates more consistent and interpretable lesion intensity compared to SWIP for distinguishing CMBs from calcification.
JOURNAL OF NEUROIMAGING
(2023)
Article
Clinical Neurology
M. Homssi, E. M. Sweeney, E. Demmon, W. Mannheim, M. Sakirsky, Y. Wang, S. A. Gauthier, A. Gupta, T. D. Nguyen
Summary: This study evaluated the performance of an automated statistical detection of change algorithm in assisting readers to identify new multiple sclerosis (MS) lesions. The algorithm detected potential new lesions on FLAIR images and was confirmed by human readers. The results showed that the statistical detection of change achieved high sensitivity and moderate specificity as a screening tool for subject-level detection of new lesions.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2023)
Article
Biochemistry & Molecular Biology
Aiden R. R. Adams, Xinyi Li, Juliana I. I. Byanyima, Sianneh A. A. Vesslee, Thanh D. D. Nguyen, Yi Wang, Brianna Moon, Timothy Pond, Henry R. R. Kranzler, Walter R. R. Witschey, Zhenhao Shi, Corinde E. E. Wiers
Summary: Chronic excessive alcohol use has neurotoxic effects and may increase the risk of cognitive decline and early-onset dementia. This study examined the association between alcohol use disorder (AUD) and iron loading in both serum and the brain. While serum ferritin levels were higher in individuals with AUD, whole-brain iron susceptibility did not differ significantly. However, voxel-wise analysis revealed higher susceptibility in the left globus pallidus in the AUD group. Furthermore, brain iron increased with age, and susceptibility also increased in various brain areas with age, including the basal ganglia.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Alexey V. Dimov, Jiahao Li, Thanh D. Nguyen, Alexandra G. Roberts, Pascal Spincemaille, Sina Straub, Zungho Zun, Martin R. Prince, Yi Wang
Summary: Quantitative susceptibility mapping (QSM) is used to study magnetic materials in tissue, and has been predominantly applied in the brain but is now being used outside the brain as well. QSM relies on the effect of tissue magnetic susceptibility sources on the MR signal phase obtained with gradient echo sequence. However, in the body, the chemical shift of fat also affects the MR signal phase, so correcting for the chemical shift effect is crucial for body QSM. By compensating for motion artifacts, body QSM has been used to study various conditions such as liver iron and fibrosis, heart chamber blood and placenta oxygenation, myocardial hemorrhage, atherosclerotic plaque, cartilage, bone, prostate, breast calcification, and kidney stone.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Neurosciences
Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
Summary: In this paper, a new framework called Learned Acquisition and Reconstruction Optimization (LARO) is proposed to accelerate the multi-echo gradient echo (mGRE) pulse sequence for quantitative susceptibility mapping (QSM). The framework optimizes a Cartesian multi-echo k-space sampling pattern and implements it in an mGRE sequence using a deep reconstruction network. A recurrent temporal feature fusion module is also introduced to capture signal redundancies along echo time. Experimental results show that the optimized sampling pattern and proposed reconstruction strategy improve the quality of multi-echo image reconstructions, and the LARO framework demonstrates robustness on test data with new pathologies and different sequence parameters.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Pascal Spincemaille, Martin R. Prince
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chenglin Zhu, Hreedi Dev, Arman Sharbatdaran, Xinzi He, Daniil Shimonov, James M. Chevalier, Jon D. Blumenfeld, Yi Wang, Kurt Teichman, George Shih, Akshay Goel, Martin R. Prince
Summary: Total kidney volume measured on MRI is an important biomarker for assessing the progression of autosomal dominant polycystic kidney disease and response to treatment. In this study, we examined the variability of kidney volume measurements among five commonly acquired MRI pulse sequences in abdominal MRI exams in 105 patients with ADPKD.
Article
Radiology, Nuclear Medicine & Medical Imaging
Qihao Zhang, Chaofan Sui, Junghun Cho, Linfeng Yang, Tao Chen, Bin Guo, Kelly McCabe Gillen, Jing Li, Lingfei Guo, Yi Wang
Summary: The objective of this study was to analyze the different brain oxygen metabolism statuses in preeclampsia using magnetic resonance imaging and investigate the factors that affect cerebral oxygen metabolism in preeclampsia. By studying 49 women with preeclampsia, 22 pregnant healthy controls, and 40 non-pregnant healthy controls, it was found that the preeclampsia group had significantly higher brain oxygen extraction fraction (OEF) values compared to the control groups.
KOREAN JOURNAL OF RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Qihao Zhang, Kyungmouk Steve Lee, Adam D. D. Talenfeld, Pascal Spincemaille, Martin R. R. Prince, Yi Wang
Summary: There is currently no noninvasive method to estimate lung shunting fraction (LSF) in liver tumor patients undergoing Yttrium-90 (Y90) therapy. However, this study proposes the use of noninvasive dynamic contrast enhanced (DCE) MRI with perfusion quantification to predict LSF. Results showed a positive correlation between LSF and quantitative transport mapping (QTM) velocity |u|, and a significant difference in QTM |u|, Kety's K-trans, and Ve between low and high LSF groups.
Article
Radiology, Nuclear Medicine & Medical Imaging
Arman Sharbatdaran, Dominick Romano, Kurt Teichman, Hreedi Dev, Syed I. Raza, Akshay Goel, Mina C. Moghadam, Jon D. Blumenfeld, James M. Chevalier, Daniil Shimonov, George Shih, Yi Wang, Martin R. Prince
Summary: Automating organ volume measurements using deep learning technology can significantly reduce the time required for manual measurements and decrease measurement errors.
Article
Radiology, Nuclear Medicine & Medical Imaging
Alexey Dimov, Kelly M. Gillen, Thanh D Nguyen, Jerry Kang, Ria Sharma, David Pitt, Susan A. Gauthier, Yi Wang
Summary: The study utilized quantitative susceptibility mapping (QSM) technique to map tissue susceptibility and validated its ability to characterize multiple sclerosis (MS) lesions composition. The findings showed that QSM can effectively separate different tissue components and demonstrated good qualitative agreement with histological stains.
Article
Radiology, Nuclear Medicine & Medical Imaging
Linfeng Yang, Junghun Cho, Tao Chen, Kelly M. Gillen, Jing Li, Qihao Zhang, Lingfei Guo, Yi Wang
Summary: This study compared oxygen extraction fraction (OEF) values in the deep gray matter (GM) of pre-eclampsia (PE) patients, pregnant healthy controls (PHCs), and non-pregnant healthy controls (NPHCs) using quantitative susceptibility mapping (QSM) plus quantitative blood oxygen level-dependent magnitude (QSM + qBOLD = QQ)-based mapping. The results showed significant differences in OEF values between the three groups, and OEF values were positively correlated with hematocrit in pregnant women. The findings suggest that OEF values can be used as a noninvasive assessment tool for hypertensive disorders in pregnant women.
EUROPEAN RADIOLOGY
(2022)
