ArticleThe international journal of cardiovascular imaging2012
Characterisation of non-calcified coronary plaque by 16-slice multidetector computed tomography: comparison with histopathological specimens obtained by directional coronary atherectomy.
Article in The international journal of cardiovascular imaging, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 6 citations in OpenAlex.
- Recent Trends in Artificial Intelligence-Assisted Coronary Atherosclerotic Plaque Characterization.International journal of environmental research and public health · 2021Review
- Carotid artery plaque characterization with a wide-detector computed tomography using a dedicated post-processing 3D analysis: comparison with histology.La Radiologia medica · 2019Article
- Beyond Coronary Stenosis: Coronary Computed Tomographic Angiography for the Assessment of Atherosclerotic Plaque Burden.Current cardiovascular imaging reports · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The efficacy of multidetector computed tomography (MDCT) for assessing coronary plaque composition has not been fully elucidated by comparison with histological findings. This study investigated the efficacy and limitations of CT density for identifying non-calcified lipid-rich plaque compared with histopathological findings. We studied 41 target lesions treated by directional coronary atherectomy in 41 patients with coronary artery disease who had non-calcified plaques detected by 16-slice MDCT before intervention. The lesions were histopathologically classified as lipid-rich or non-lipid-rich plaques, as well as according to the presence or absence of histopathological microcalcification. The mean CT density was determined in 5 regions of interest per slice and compared among the groups. The optimum cut-off value for identifying lipid-rich plaque was determined by receiver operating characteristic (ROC) analysis using histological findings for reference. Eighteen lesions were histopathologically classified as lipid-rich (5 with microcalcification and 13 without it) and 23 lesions were non-lipid-rich (8 with microcalcification and 15 without it). The mean CT density was significantly lower for lipid-rich plaque without microcalcification compared with other plaque types (P = 0.0001). ROC analysis revealed that the optimum cut-off value for distinguishing lipid-rich from non-lipid-rich plaque without microcalcification was 50 HU (sensitivity: 92.3%; specificity: 93.3%). Histopathological microcalcification had a marked influence on the plaque CT density. Sixteen-slice MDCT can identify lipid-rich plaque by a low CT density. However, high CT density dose not exclude the possibility of lipid-rich plaque, and combined morphological assessment is necessary to differentiate plaque components.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.