Objectives: The aim of this study was to determine if spotty calcification decreases the response of plaque progression to statin therapy.
Background: Previous studies showed that the presence of spotty calcification is a marker of vulnerable plaque. However, the relationship between spotty calcification and plaque progression is not clear.
Methods: Ninety-six nonculprit lipid-rich plaques in 69 patients who received serial optical coherence tomography (OCT) imaging were included. Plaques were divided into three groups: spotty calcification (n = 38), calcified (n = 12) and noncalcified (n = 46) plaques. Spotty calcification was identified by the presence of a lesion <4 mm in length with an arc of calcification <90°. Changes in plaque characteristics and fibrous cap thickness (FCT) at 6 and 12 months under statin therapy were analyzed by OCT.
Results: The increase of FCT was sustained from baseline to 6 and 12 months in three groups: spotty calcification (62.8 ± 20.9, 126.4 ± 84.9, and 169.2 ± 81.6 μm, respectively; P < .001), calcified (59.8 ± 17.0, 93.4 ± 51.4, and 155.2 ± 61.7 μm, respectively; P < .001) and noncalcified (60.0 ± 17.2, 125.5 ± 62.1, and 161.0 ± 80.5 μm, respectively; P < .001). Intensive statin induced a greater change in FCT at 12 months than moderate statin in the spotty calcification group (P = 0.034). The mean lipid arc decreased significantly at 12 months from baseline in the three groups (P = 0.004, P = 0.023, and P < .001, respectively).
Conclusions: Statin therapy was effective for plaque stabilization in plaques with and without spotty calcification. Patients with spotty calcification benefitted more from intensive statin than from moderate statin therapy.
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http://dx.doi.org/10.1002/ccd.27496 | DOI Listing |
J Med Imaging Radiat Oncol
December 2024
Fiona Stanley Hospital, Perth, Western Australia, Australia.
Coronary computed tomography angiography (CCTA) is a well-established and reliable non-invasive imaging modality that provides a comprehensive assessment of coronary artery anatomy and luminal stenosis due to atherosclerosis. Owing to advances in CCTA software and technology, the composition and morphology of coronary plaque can be accurately evaluated. Adverse features which identify plaque as being high-risk or 'vulnerable' can provide a personalised cardiovascular risk assessment over and above stenosis severity.
View Article and Find Full Text PDFActa Neurochir (Wien)
November 2024
Deparement of Neurosurgery, Shiga University of Medical Science, Setatsukinowa-Cho, Otsu, Shiga, 520-2192, Japan.
We described a rare case of acute ischemic stroke due to calcified cerebral emboli from calcified carotid plaque (CCP). Radiological examinations revealed that the CCP had an irregular configuration containing a calcified nodule and scattered spotty calcifications, and a large calcified plate. The patient underwent carotid endarterectomy to prevent embolic recurrence.
View Article and Find Full Text PDFCase Rep Neurol
October 2024
Department of Neurology, Hakodate Central General Hospital, Hakodate, Japan.
Introduction: This is a case of a 32-year-old woman who developed postpartum depression (PPD). She became anxious and depressive about caring for her child, and the Edinburgh Postnatal Depression Scale (EPDS) test showed a score of 9 at 2 weeks after delivery, and at 7 months postpartum, she presented with major melancholic depression followed by mild cognitive decline without any neurological symptoms except cluttering speech.
Case Presentation: Cerebral magnetic resonance imaging showed confluent fluid-attenuated inversion recovery hyperintensities in the periventricular and frontal deep white matter, with multiple spotty calcifications in the frontal white matter by cerebral CT.
Background: Coronary computed tomography angiography (CCTA) has emerged as a reliable noninvasive modality to assess coronary artery stenosis and high-risk plaque (HRP). However, CCTA assessment of stenosis and HRP is time-consuming and requires specialized training, limiting its clinical translation.
Objectives: The aim of this study is to develop and validate a fully automated deep learning system capable of characterizing stenosis severity and HRP on CCTA.
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