The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
MR Imaging Detection of Cerebral Microbleeds: Effect of Susceptibility-Weighted Imaging, Section Thickness, and Field Strength
Open accessAbstract
BACKGROUND AND PURPOSE: The emergence of cerebral microbleeds (CMB) as common MR imaging findings raises the question of how MR imaging parameters influence CMB detection. To evaluate the effects of modified gradient recalled-echo (GRE) MR imaging methods, we performed an analysis of sequence, section thickness, and field strength on CMB imaging properties and detection in subjects with cerebral amyloid angiopathy (CAA), a condition associated with microhemorrhage. MATERIALS AND METHODS: Multiple MR images were obtained from subjects with probable CAA, with varying sequences (GRE versus susceptibility-weighted imaging [SWI]), section thicknesses (1.2-1.5 versus 5 mm), and magnetic field strengths (1.5T versus 3T). Individual CMB were manually identified and analyzed for contrast index (lesion intensity normalized to normal-appearing white matter signal intensity) and diameter. CMB counts were compared between 1.5T thick-section GRE and thin-section SWI for 3 subjects who underwent both protocols in the same scanning session. RESULTS: With other parameters constant, use of SWI, thinner sections, and a higher field strength yielded medium-to-large gains in CMB contrast index (CI; Cohen d 0.71-1.87). SWI was also associated with small increases in CMB diameter (Cohen d <0.3). Conventional thick-section GRE identified only 33% of CMB (103 of 310) seen on thin-section SWI. Lesions prospectively identified on GRE had significantly greater CI and diameter measured on the GRE image than those not prospectively identified. CONCLUSIONS: The examined alternatives to conventional GRE MR imaging yield substantially improved CMB contrast and sensitivity for detection. Future studies based on these techniques will most likely yield even higher prevalence estimates for CMB.
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Jeerakathil, T., Wolf, P. A., Beiser, A., Hald, J. K., Au, R., Kase, C. S., Massaro, J. M., & DeCarli, C. (2004) · Stroke · doi:10.1161/01.str.0000131809.35202.1b · Cited by 319
Prevalence and severity of microbleeds in a memory clinic setting
Cordonnier, C., van der Flier, W. M., Sluimer, J. D., Leys, D., Barkhof, F., & Scheltens, P. (2006) · Neurology · doi:10.1212/01.wnl.0000210535.20297.ae · Cited by 305
Cerebral Microbleeds in CADASIL: A Gradient-Echo Magnetic Resonance Imaging and Autopsy Study
Dichgans, M., Holtmannspötter, M., Herzog, J., Peters, N., Bergmann, M., & Yousry, T. A. (2002) · Stroke · doi:10.1161/hs0102.100885 · Cited by 293
Cited by
Cerebral microbleeds: a guide to detection and interpretation
Greenberg, S. M., Vernooij, M. W., Cordonnier, C., Viswanathan, A., Al-Shahi Salman, R., Warach, S., Launer, L. J., Van Buchem, M. A., & Breteler, M. M. (2009) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70013-4 · Cited by 1,798
Self-citationCerebral amyloid angiopathy in the elderly
Viswanathan, A., & Greenberg, S. M. (2011) · Annals of Neurology · doi:10.1002/ana.22516 · Cited by 643
Self-citationCharidimou, A., Gang, Q., & Werring, D. J. (2012) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2011-301308 · Cited by 611
Charidimou, A., Linn, J., Vernooij, M. W., Opherk, C., Akoudad, S., Baron, J.-C., Greenberg, S. M., Jäger, H. R., & Werring, D. J. (2015) · Brain · doi:10.1093/brain/awv162 · Cited by 385
Self-citationCerebral Amyloid Angiopathy: Emerging Concepts
Yamada, M. (2015) · Journal of Stroke · doi:10.5853/jos.2015.17.1.17 · Cited by 367
Metadata
- Authors
- Nandigam, R. N. K., Viswanathan, A., Delgado, P., Skehan, M. E., Smith, E. E., Rosand, J., Greenberg, S. M., & Dickerson, B. C.
- Venue
- American Journal of Neuroradiology
- Published
- 2008-11-11
- Volume
- 30
- Issue
- 2
- Pages
- 338-343
- ISSN
- 0195-6108 (ISSN-L)
- 1936-959X
- OpenAlex
- W2151735381
- Cited by
- 424
- References
- 3
- FWCI
- 10.61
- Type
- journal article
- Language
- en
- Open access
- hybrid
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