BACKGROUND: Despite continuous improvements in CT technology, accurate stent lumen delineation remains challenging. PURPOSE: The aim was to evaluate the quality of coronary stent lumen delineation with CT using a detector with integrated electronics. METHODS: Twelve coronary stents placed in plastic tubes and filled with contrast agent (CT number 250 HU) were imaged with either a 128-section dual-source CT machine equipped with conventional detector or with integrated electronics. On both scanners, images were reconstructed with filtered back projection (slice thickness 0.6 mm; increment 0.4 mm) and sinogram-affirmed iterative reconstruction (slice thickness 0.6 mm; increment 0.4 mm), and with iterative reconstruction (slice thickness 0.5 mm; increment 0.3 mm) on the integrated scanner. Two blinded, independent readers assessed image quality, noise, in-stent diameter, in-stent attenuation, and image sharpness by using signal intensity profiles across stents. RESULTS: Interreader agreement for image quality assessment was substantial (κ = 0.798). Both readers rated best image quality in data sets from integrated detector at highest spatial resolution (86 or 72% of stents rated best quality). Image noise was significantly lower in data sets scanned with integrated detector, being lowest at 0.6 mm slice thickness (14.3 vs 21.0 HU; P < .001). Differences between measured and true in-stent diameters and differences in attenuation across stents were smallest, and average/maximum image sharpness was highest in data sets from the integrated detector using iterative reconstructions. CONCLUSION: CT coronary stent imaging is significantly improved by using a detector with integrated electronics combined with iterative reconstructions.
BACKGROUND: Despite continuous improvements in CT technology, accurate stent lumen delineation remains challenging. PURPOSE: The aim was to evaluate the quality of coronary stent lumen delineation with CT using a detector with integrated electronics. METHODS: Twelve coronary stents placed in plastic tubes and filled with contrast agent (CT number 250 HU) were imaged with either a 128-section dual-source CT machine equipped with conventional detector or with integrated electronics. On both scanners, images were reconstructed with filtered back projection (slice thickness 0.6 mm; increment 0.4 mm) and sinogram-affirmed iterative reconstruction (slice thickness 0.6 mm; increment 0.4 mm), and with iterative reconstruction (slice thickness 0.5 mm; increment 0.3 mm) on the integrated scanner. Two blinded, independent readers assessed image quality, noise, in-stent diameter, in-stent attenuation, and image sharpness by using signal intensity profiles across stents. RESULTS: Interreader agreement for image quality assessment was substantial (κ = 0.798). Both readers rated best image quality in data sets from integrated detector at highest spatial resolution (86 or 72% of stents rated best quality). Image noise was significantly lower in data sets scanned with integrated detector, being lowest at 0.6 mm slice thickness (14.3 vs 21.0 HU; P < .001). Differences between measured and true in-stent diameters and differences in attenuation across stents were smallest, and average/maximum image sharpness was highest in data sets from the integrated detector using iterative reconstructions. CONCLUSION: CT coronary stent imaging is significantly improved by using a detector with integrated electronics combined with iterative reconstructions.
Authors: Stefanie Mangold; Paola M Cannaó; U Joseph Schoepf; Julian L Wichmann; Christian Canstein; Stephen R Fuller; Giuseppe Muscogiuri; Akos Varga-Szemes; Konstantin Nikolaou; Carlo N De Cecco Journal: Eur Radiol Date: 2015-09-15 Impact factor: 5.315
Authors: Stefanie Mangold; Carlo N De Cecco; U Joseph Schoepf; Ricardo T Yamada; Akos Varga-Szemes; Andrew C Stubenrauch; Damiano Caruso; Stephen R Fuller; Thomas J Vogl; Konstantin Nikolaou; Thomas M Todoran; Julian L Wichmann Journal: Eur Radiol Date: 2016-03-09 Impact factor: 5.315
Authors: Li Qi; Felix G Meinel; Chang Sheng Zhou; Yan E Zhao; U Joseph Schoepf; Long Jiang Zhang; Guang Ming Lu Journal: PLoS One Date: 2014-06-10 Impact factor: 3.240