Ali, M., Okar, L., Iqbal, P., & Yassin, M. A. (2020). Iatrogenic Iron overload in a patient with chronic kidney disease: Is there a correlation between serum ferritin and Liver Iron Concentration determined by MRI T2*? Cureus. https://doi.org/10.7759/cureus.8914
Article PubMed PubMed Central Google Scholar
Chai, C., Yan, S., Chu, Z., Wang, T., Wang, L., Zhang, M., & Shen, W. (2014). Quantitative measurement of brain iron deposition in patients with haemodialysis using susceptibility mapping. Metabolic Brain Disease, 30(2), 563–571. https://doi.org/10.1007/s11011-014-9608-2
Article PubMed CAS Google Scholar
Cogswell, P. M., & Fan, A. P. (2023). Multimodal comparisons of QSM and PET in neurodegeneration and aging. Neuroimage 273. https://doi.org/10.1016/j.neuroimage.2023.120068
Cogswell, P. M., Wiste, H. J., Senjem, M. L., Gunter, J. L., Weigand, S. D., Schwarz, C. G., & Jack, C. R. (2021). Associations of quantitative susceptibility mapping with Alzheimer’s disease clinical and imaging markers. Neuroimage, 224. https://doi.org/10.1016/j.neuroimage.2020.117433
Ghassaban, K., He, N., Sethi, S. K., Huang, P., Chen, S., Yan, F., & Haacke, E. M. (2019). Regional High Iron in the Substantia Nigra differentiates Parkinson’s Disease patients from healthy controls. Frontiers in Aging Neuroscience, 11. https://doi.org/10.3389/fnagi.2019.00106
Haacke, E. M., Liu, S., Buch, S., Zheng, W., Wu, D., & Ye, Y. (2015). Quantitative susceptibility mapping: Current status and future directions. Magnetic Resonance Imaging, 33(1), 1–25. https://doi.org/10.1016/j.mri.2014.09.004
Hametner, S., Endmayr, V., Deistung, A., Palmrich, P., Prihoda, M., Haimburger, E., & Grabner, G. (2018). The influence of brain iron and myelin on magnetic susceptibility and effective transverse relaxation - A biochemical and histological validation study. Neuroimage, 179, 117–133. https://doi.org/10.1016/j.neuroimage.2018.06.007
Article PubMed CAS Google Scholar
He, N., Huang, P., Ling, H., Langley, J., Liu, C., Ding, B., & Yan, F. (2016). Dentate nucleus iron deposition is a potential biomarker for tremor-dominant Parkinson’s disease. NMR in Biomedicine, 30(4). https://doi.org/10.1002/nbm.3554
Hu, R., Gao, B., Tian, S., Liu, Y., Jiang, Y., Li, W., & Miao, Y. (2023). Regional high iron deposition on quantitative susceptibility mapping correlates with cognitive decline in type 2 diabetes mellitus. Frontiers in Neuroscience, 17. https://doi.org/10.3389/fnins.2023.1061156
Jager, K. J., Kovesdy, C., Langham, R., Rosenberg, M., Jha, V., & Zoccali, C. (2019). A single number for advocacy and communication-worldwide more than 850 million individuals have kidney diseases. Kidney International, 96(5), 1048–1050. https://doi.org/10.1016/j.kint.2019.07.012
Johansen, K. L., Chertow, G. M., Gilbertson, D. T., Herzog, C. A., Ishani, A., Israni, A. K., & Wetmore, J. B. (2022). Epidemiology of Kidney Disease in the United States. American Journal of Kidney Diseases, 79(4), A8–A12. US Renal Data System 2021 Annual Data Report:. https://doi.org/10.1053/j.ajkd.2022.02.001
Knoch, D., Treyer, V., Regard, M., Müri, R. M., Buck, A., & Weber, B. (2006). Lateralized and frequency-dependent effects of prefrontal rTMS on regional cerebral blood flow. Neuroimage, 31(2), 641–648. https://doi.org/10.1016/j.neuroimage.2005.12.025
Article PubMed CAS Google Scholar
Langkammer, C., Schweser, F., Krebs, N., Deistung, A., Goessler, W., Scheurer, E., & Reichenbach, J. R. (2012). Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study. Neuroimage, 62(3), 1593–1599. https://doi.org/10.1016/j.neuroimage.2012.05.049
Li, P., Ding, D., Ma, X., Zhang, H., Liu, J., & Zhang, M. (2018a). Altered intrinsic brain activity and memory performance improvement in patients with end-stage renal disease during a single dialysis session. Brain Imaging and Behavior, 12, 1640–1649. https://doi.org/10.1007/s11682-018-9828-x
Li, X., He, T., Yu, K., Lu, Q., Alkasir, R., Guo, G., & Xue, Y. (2018b). Markers of Iron Status are Associated with risk of hyperuricemia among Chinese adults: Nationwide Population-based study. Nutrients, 10(2). https://doi.org/10.3390/nu10020191
Li, W., Gao, B., Du, W., Jiang, Y., Yang, J., Hu, R., & Miao, Y. (2022). Iron deposition heterogeneity in extrapyramidal system assessed by quantitative susceptibility mapping in Parkinson’s disease patients with type 2 diabetes mellitus. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.975390
Liu, M., Liu, S., Ghassaban, K., Zheng, W., Dicicco, D., Miao, Y., & Haacke, E. M. (2016). Assessing global and regional iron content in deep gray matter as a function of age using susceptibility mapping. Journal of Magnetic Resonance Imaging, 44(1), 59–71. https://doi.org/10.1002/jmri.25130
Article PubMed CAS Google Scholar
Mainous, A. G., Knoll, M. E., Everett, C. J., Matheson, E. M., Hulihan, M. M., & Grant, A. M. (2011). Uric acid as a potential cue to screen for Iron overload. The Journal of the American Board of Family Medicine, 24(4), 415–421. https://doi.org/10.3122/jabfm.2011.04.110015
McAllum, E. J., Hare, D. J., Volitakis, I., McLean, C. A., Bush, A. I., Finkelstein, D. I., & Roberts, B. R. (2020). Regional iron distribution and soluble ferroprotein profiles in the healthy human brain. Progress in Neurobiology, 186. https://doi.org/10.1016/j.pneurobio.2019.101744
Nashwan, A. J., Yassin, M. A., Abd-Alrazaq, A., Shuweihdi, F., Rahim, A., H. F., & Shraim, M. (2022a). The prevalence of cardiac and hepatic iron overload in patients with kidney failure: A protocol for systematic review and meta‐analysis. Health Science Reports, 5(4). https://doi.org/10.1002/hsr2.692
Nashwan, A. J., Yassin, M. A., Ibrahim, M., Rahim, M. I. A., H. F., & Shraim, M. (2022b). Iron overload in chronic kidney disease: Less ferritin, more T2*MRI. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.865669
Nemeth, E., & Ganz, T. (2021). Hepcidin-Ferroportin Interaction controls systemic Iron homeostasis. International Journal of Molecular Sciences, 22(12). https://doi.org/10.3390/ijms22126493
Prasuhn, J., Göttlich, M., Gerkan, F., Kourou, S., Ebeling, B., Kasten, M., & Brüggemann, N. (2022). Relationship between brain iron deposition and mitochondrial dysfunction in idiopathic Parkinson’s disease. Molecular Medicine, 28(1). https://doi.org/10.1186/s10020-021-00426-9
Rahmanzadeh, R., Galbusera, R., Lu, P. J., Bahn, E., Weigel, M., Barakovic, M., & Granziera, C. (2022). A New Advanced MRI Biomarker for Remyelinated lesions in multiple sclerosis. Annals of Neurology, 92(3), 486–502. https://doi.org/10.1002/ana.26441
Article PubMed PubMed Central CAS Google Scholar
Sun, H., Walsh, A. J., Lebel, R. M., Blevins, G., Catz, I., Lu, J. Q., & Wilman, A. H. (2015). Validation of quantitative susceptibility mapping with Perls’ iron staining for subcortical gray matter. Neuroimage, 105, 486–492. https://doi.org/10.1016/j.neuroimage.2014.11.010
Thomas, G. E. C., Leyland, L. A., Schrag, A. E., Lees, A. J., Acosta-Cabronero, J., & Weil, R. S. (2020). Brain iron deposition is linked with cognitive severity in Parkinson’s disease. Journal of Neurology Neurosurgery & Psychiatry, 91(4), 418–425. https://doi.org/10.1136/jnnp-2019-322042
Venkatesh, A., Daugherty, A. M., & Bennett, I. J. (2021). Neuroimaging measures of iron and gliosis explain memory performance in aging. Human Brain Mapping, 42(17), 5761–5770. https://doi.org/10.1002/hbm.25652
Article PubMed PubMed Central Google Scholar
Vinayagamani, S., Sheelakumari, R., Sabarish, S., Senthilvelan, S., Ros, R., Thomas, B., & Kesavadas, C. (2020). Quantitative susceptibility mapping: Technical considerations and clinical applications in Neuroimaging. Journal of Magnetic Resonance Imaging, 53(1), 23–37. https://doi.org/10.1002/jmri.27058
Wang, H., Han, X., Jin, M., Wang, L., Diao, Z., Guo, W., & Wang, Z. (2020). Different iron deposition patterns in hemodialysis patients with and without restless legs syndrome: A quantitative susceptibility mapping study. Sleep Medicine, 69, 34–40. https://doi.org/10.1016/j.sleep.2019.12.024
Wang, F., Wang, J., Shen, Y., Li, H., Rausch, W. D., & Huang, X. (2022a). Iron Dyshomeostasis and Ferroptosis: A New Alzheimer’s Disease Hypothesis? Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.830569
Wang, H., Chai, C., Wu, G., Li, J., Zhao, C., Fu, D., & Xia, S. (2022b). Cerebral blood flow regulates iron overload in the cerebral nuclei of hemodialysis patients with anemia. Journal of Cerebral Blood Flow & Metabolism, 43(5), 749–762. https://doi.org/10.1177/0271678x221147363
Wang, H., Song, L., Li, M., Yang, Z., & Wang, Z. C. (2022c). Association between susceptibility value and cerebral blood flow in the bilateral putamen in patients undergoing hemodialysis. Journal of Cerebral Blood Flow & Metabolism, 43(3), 433–445. https://doi.org/10.1177/0271678x221134384
Wang, H., Liu, X., Song, L., Yang, W., Li, M., Chen, Q., & Wang, Z. (2023). Dysfunctional coupling of cerebral blood Flow and Susceptibility Value in the bilateral Hippocampus is Associated with Cognitive decline in Nondialysis patients with CKD. Journal of the American Society of Nephrology, 34, 1574–1588. https://doi.org/10.1681/ASN.0000000000000185
Article PubMed PubMed Central Google Scholar
Ward, P. G. D., Harding, I. H., Close, T. G., Corben, L. A., Delatycki, M. B., Storey, E., & Egan, G. F. (2019). Longitudinal evaluation of iron concentration and atrophy in the dentate nuclei in friedreich ataxia. Movement Disorders, 34(3), 335–343. https://doi.org/10.1002/mds.27606
Article PubMed CAS Google Scholar
Zheng, W., Nichol, H., Liu, S., Cheng, Y. C. N., & Haacke, E. M. (2013). Measuring iron in the brain using quantitative susceptibility mapping and X-ray fluorescence imaging. Neuroimage, 78, 68–74. https://doi.org/10.1016/j.neuroimage.2013.04.022
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