Angiogenesis, Inflammation & Therapeutics | Online ISSN  2207-872X
RESEARCH ARTICLE   (Open Access)

Susceptibility-Weighted Imaging for Differentiating Intracranial Calcification and Hemosiderin: A Comparative Study with CT

Ragitha Ramesh1, Arunan Subbiah 2*, Senthil Kumar Aiyappan1

+ Author Affiliations

Journal of Angiotherapy 8(10) 1-8 https://doi.org/10.25163/angiotherapy.8109999

Submitted: 29 July 2024  Revised: 17 October 2024  Published: 20 October 2024 

This study demonstrates the efficacy of SWI, particularly the filtered phase image, in accurately differentiating calcification from hemosiderin, offering a safer alternative to CT imaging.

Abstract


Background: Magnetic resonance imaging (MRI) is an essential diagnostic modality for evaluating various tissue types, but distinguishing between substances such as calcification and hemosiderin remains challenging due to their similar appearances on conventional MRI sequences. Susceptibility-weighted imaging (SWI) improves tissue contrast by incorporating phase information, potentially enhancing the accuracy of differentiating these substances. This study aims to assess the effectiveness of SWI, specifically the filtered phase image, in comparison with computed tomography (CT), which is considered the gold standard for calcification detection. Methods: A retrospective analysis was conducted on 35 patients, aged 50-80 years, who presented with confirmed cases of intracranial calcification or hemosiderin deposits. MRI was performed on a 1.5-tesla Siemens Essenza Magnetom using SWI sequences, including both phase and magnitude images. CT scans were obtained using a GE Optima 660 scanner. The study focused on 17 cases of calcification identified by both SWI and CT, and 18 cases of hemosiderin deposits detected by SWI. Statistical analysis was performed using Pearson correlation coefficients to evaluate the relationship between MRI and CT measurements. Results: The study revealed a strong correlation between CT and SWI in detecting calcifications, with a significant agreement in the measurement of calcification size. However, while phase and magnitude images demonstrated a strong correlation with one another, the filtered phase image did not show a significant correlation with hemosiderin size, suggesting limitations in its application for detecting hemosiderin deposits. CT scans confirmed calcification with Hounsfield units exceeding 100, while hemosiderin deposits were more effectively identified through SWI, which provided enhanced contrast without the use of ionizing radiation. Conclusion: SWI, particularly the filtered phase image, is a reliable and sensitive tool for detecting intracranial calcification, offering high accuracy compared to CT. While SWI proves effective in distinguishing calcification, further research is needed to optimize its use for detecting hemosiderin deposits. This study underscores the non-ionizing advantages of SWI over CT, advocating for its potential as a safer and equally effective alternative in clinical imaging.

Keywords: Susceptibility-Weighted Imaging (SWI), Calcification detection, Hemosiderin identification, MRI phase images, Non-ionizing imaging

References


Ashraf, S., & Venkataraman, R. (2015). Magnetic resonance susceptibility imaging in intracranial hemorrhage. Journal of Clinical Neuroscience, 22(8), 1286–1291. https://doi.org/10.1016/j.jocn.2015.04.011

Barbosa, J. H. O., Santos, A. C., & Salmon, C. E. G. (2015). Susceptibility weighted imaging: Differentiating between calcification and hemosiderin. Radiologia Brasileira, 48(2), 93–100. https://doi.org/10.1590/0100-3984.2014.0010

Berberat, J., Grobholz, R., Boxheimer, L., Rogers, S., Remonda, L., & Roelcke, U. (2014). Differentiation between calcification and hemorrhage in brain tumors using susceptibility-weighted imaging: A pilot study. AJR. American Journal of Roentgenology, 202(4), 847–850. https://doi.org/10.2214/AJR.13.10745

Chang, H. S., Lee, C. S., & Ahn, S. H. (2017). Detection of calcification and hemorrhage in brain tumors with susceptibility-weighted imaging. Neurosurgical Review, 42(4), 541–547. https://doi.org/10.1007/s10143-016-0786-0

Gasparotti, R., Pinelli, L., & Liserre, R. (2011). New MR sequences in daily practice: Susceptibility weighted imaging. A pictorial essay. Insights into Imaging, 2(3), 335–347. https://doi.org/10.1007/s13244-011-0086-3

Gumus, K., Koc, G., Doganay, S., Gorkem, S. B., Dogan, M. S., Canpolat, M., Coskun, A., & Bilgen, M. (2015). Susceptibility-based differentiation of intracranial calcification and hemorrhage in pediatric patients. Journal of Child Neurology, 30(8), 1029–1036. https://doi.org/10.1177/0883073814552439

Haacke, E. M., Mittal, S., Wu, Z., Neelavalli, J., & Cheng, Y. C. (2009). Susceptibility-weighted imaging: Technical aspects and clinical applications, part 1. AJNR. American Journal of Neuroradiology, 30(1), 19–30. https://doi.org/10.3174/ajnr.A1400

Han, Y. S., Lee, W. J., & Lee, M. H. (2013). Role of susceptibility-weighted imaging in brain iron deposition and hemorrhage. Neuroimaging Clinics of North America, 23(4), 635–647. https://doi.org/10.1016/j.nic.2013.06.002

He, X. Y., Liu, C. Z., & Zhang, J. L. (2018). MRI susceptibility-weighted imaging for detecting cerebral calcifications: A retrospective analysis of 123 patients. Neuroradiology, 60(3), 289–295. https://doi.org/10.1007/s00234-017-1964-2

Jang, Y., Shin, Y. S., & Oh, S. H. (2016). Value of susceptibility-weighted imaging in distinguishing calcifications and hemorrhages in brain tumors. Journal of Neuroimaging, 26(2), 195–202. https://doi.org/10.1111/jon.12274

Kim, B. J., Lee, J. H., & Seo, J. K. (2014). Application of susceptibility-weighted imaging in the diagnosis of calcification in the brain. Journal of Neuroimaging, 24(1), 75–80. https://doi.org/10.1111/jon.12129

Li, Z., Lin, X., & Zhang, L. (2019). Susceptibility-weighted imaging and its role in brain calcification and hemorrhage detection. Journal of Clinical Neuroscience, 60, 72–78. https://doi.org/10.1016/j.jocn.2018.11.024

Liu, L., Zhan, J., & Xie, Y. (2017). The role of susceptibility-weighted imaging in differentiating between calcification and hemorrhage. Journal of Clinical Neuroscience, 46, 41–45. https://doi.org/10.1016/j.jocn.2017.05.018

Rauscher, A., Sedlacik, J., Barth, M., Mentzel, H. J., & Reichenbach, J. R. (2005). Magnetic susceptibility-weighted MR phase imaging of the human brain. AJNR. American Journal of Neuroradiology, 26(4), 736–742.

Song, Y., Hu, X., & Liu, S. (2015). Detection of intracranial calcifications using susceptibility-weighted imaging: A systematic review and meta-analysis. Journal of Neuroimaging, 25(5), 797–803. https://doi.org/10.1111/jon.12209

Wu, Z., Mittal, S., Kish, K., Yu, Y., Hu, J., & Haacke, E. M. (2009). Identification of calcification with MRI using susceptibility-weighted imaging: A case study. Journal of Magnetic Resonance Imaging: JMRI, 29(1), 177–182. https://doi.org/10.1002/jmri.21617

Yamada, N., Imakita, S., Sakuma, T., & Takamiya, M. (1996). Intracranial calcification on gradient-echo phase image: Depiction of diamagnetic susceptibility. Radiology, 198(1), 171–178. https://doi.org/10.1148/radiology.198.1.8539373

Zhu, W. Z., Qi, J. P., Zhan, C. J., Shu, H. G., Zhang, L., Wang, C. Y., Xia, L. M., Hu, J. W., & Feng, D. Y. (2008). Magnetic resonance susceptibility-weighted imaging in detecting intracranial calcification and hemorrhage. Chinese Medical Journal, 121(20), 2021–2025

Full Text
Export Citation

View Dimensions


View Plumx



View Altmetric



0
Save
0
Citation
260
View
0
Share