2016
DOI: 10.1002/jmri.25444
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Comparison study between multicontrast atherosclerosis characterization (MATCH) and conventional multicontrast MRI of carotid plaque with histology validation

Abstract: 1 J. Magn. Reson. Imaging 2017;45:764-770.

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Cited by 23 publications
(16 citation statements)
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References 21 publications
(40 reference statements)
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“…Third, we did not compare NIRS with other sequences, such as MPRAGE and T2-weighted MR imaging. Newly developed multicontrast atherosclerosis characterization sequences can identify carotid plaque components more precisely [24]. Fourth, NIRS cannot directly identify the amount of plaque calcification; however, high-grade carotid plaque calcification at MLA also influences a long-term morphological outcome [25].…”
Section: Study Limitationsmentioning
confidence: 99%
“…Third, we did not compare NIRS with other sequences, such as MPRAGE and T2-weighted MR imaging. Newly developed multicontrast atherosclerosis characterization sequences can identify carotid plaque components more precisely [24]. Fourth, NIRS cannot directly identify the amount of plaque calcification; however, high-grade carotid plaque calcification at MLA also influences a long-term morphological outcome [25].…”
Section: Study Limitationsmentioning
confidence: 99%
“…The performance of MATCH was not compared to a hyper T 1 w sequence such as MP-RAGE. In the same study, using carotid endarterectomy specimens from 13 patients as a reference, MATCH performed as well as the conventional sequences (TOF, T 1 w, T 2 w) in detecting IPH, LRNC, loose matrix, and calcifications with an acquisition time of only 2 ½ minutes (117). MATCH needs to be validated with histology in larger studies.…”
Section: Mrimentioning
confidence: 90%
“…Traditionally MRI often identifies plaque components depending on a combination of series sequences, such as T1-W imaging, T2-W imaging and TOF. The potential limitations may be considered, including limited spatial coverage and slice resolution, long scan time, and even underlying misregistration between different images [ 135 ].…”
Section: Identification Of Vulnerable Plaques At the Macroscopic Levelmentioning
confidence: 99%
“…A study has proved that compared with traditional multicontrast sequences, MATCH can identify more calcifications with a sensitivity of 100.0%. For other features such as IPH, LRNC and the loose matrix, the two identification methods show the same accuracy [ 135 ]. For identifying thin fibrous caps, MATCH may not be reliable.…”
Section: Identification Of Vulnerable Plaques At the Macroscopic Levelmentioning
confidence: 99%