Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque--a comparison with histology.
Objectives: To evaluate whether iterative reconstruction algorithms improve the diagnostic accuracy of coronary CT angiography (CCTA) for detection of lipid-core plaque (LCP) compared to histology.Methods and Materials: CCTA and histological data were acquired from three ex vivo hearts. CCTA images...
| Publicado en: | European Radiology Vol. 25; no. 1; pp. 15 - 24 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jan2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109769005&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109769005 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jan2015 vid: 25 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109769005 109769005 NLM25182630 2012825789 10.1007/s00330-014-3404-6 NLM25182630 109769005 ppf: 15 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque--a comparison with histology. aug: au: Puchner, Stefan B Ferencik, Maros Maurovich-Horvat, Pal Nakano, Masataka Otsuka, Fumiyuki Kauczor, Hans-Ulrich Virmani, Renu Hoffmann, Udo Schlett, Christopher L affil: Cardiac MR PET CT Program, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. sug: subj: Coronary Angiography Methods Coronary Arteriosclerosis Diagnosis Coronary Vessels Pathology Atherosclerosis Diagnosis Radiographic Image Enhancement Methods Radiographic Image Interpretation, Computer-Assisted Methods Tomography, X-Ray Computed Methods Adult Aged Algorithms Human Lipids Middle Age Reproducibility of Results Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years ab: Objectives: To evaluate whether iterative reconstruction algorithms improve the diagnostic accuracy of coronary CT angiography (CCTA) for detection of lipid-core plaque (LCP) compared to histology.Methods and Materials: CCTA and histological data were acquired from three ex vivo hearts. CCTA images were reconstructed using filtered back projection (FBP), adaptive-statistical (ASIR) and model-based (MBIR) iterative algorithms. Vessel cross-sections were co-registered between FBP/ASIR/MBIR and histology. Plaque area <60 HU was semiautomatically quantified in CCTA. LCP was defined by histology as fibroatheroma with a large lipid/necrotic core. Area under the curve (AUC) was derived from logistic regression analysis as a measure of diagnostic accuracy.Results: Overall, 173 CCTA triplets (FBP/ASIR/MBIR) were co-registered with histology. LCP was present in 26 cross-sections. Average measured plaque area <60 HU was significantly larger in LCP compared to non-LCP cross-sections (mm(2): 5.78 ± 2.29 vs. 3.39 ± 1.68 FBP; 5.92 ± 1.87 vs. 3.43 ± 1.62 ASIR; 6.40 ± 1.55 vs. 3.49 ± 1.50 MBIR; all p < 0.0001). AUC for detecting LCP was 0.803/0.850/0.903 for FBP/ASIR/MBIR and was significantly higher for MBIR compared to FBP (p = 0.01). MBIR increased sensitivity for detection of LCP by CCTA.Conclusion: Plaque area <60 HU in CCTA was associated with LCP in histology regardless of the reconstruction algorithm. However, MBIR demonstrated higher accuracy for detecting LCP, which may improve vulnerable plaque detection by CCTA.Key Points: • A low attenuation plaque area is associated with the presence of lipid-core plaque • MBIR leads to higher diagnostic accuracy for detecting lipid-core plaque • The benefit of MBIR is mainly due to increased sensitivity at high specificities • Semiautomated CCTA assessment can detect vulnerable plaques non-invasively. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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