Literature DB >> 31524765

Spectral Photon-Counting Computed Tomography for Coronary Stent Imaging: Evaluation of the Potential Clinical Impact for the Delineation of In-Stent Restenosis.

Grischa Bratke1, Tilman Hickethier1, Daniel Bar-Ness, Alexander Christian Bunck1, David Maintz1, Gregor Pahn2, Philippe Coulon3, Salim Si-Mohamed, Philippe Douek, Monica Sigovan4.   

Abstract

OBJECTIVES: In-stent restenosis (ISR) is one of the main long-term complications after coronary stent placement, and the ability to evaluate ISR noninvasively using coronary computed tomography (CT) angiography remains challenging. For this application, spectral photon-counting CT (SPCCT) has the potential to increase image quality and reduce artifacts due to its advanced detector technology.Our study aimed to verify the technical and clinical potential of a novel SPCCT prototype using an ISR phantom setup.
MATERIALS AND METHODS: Soft plaque-like restenosis (45 HU; approximately 50% of the stent lumen) were inserted into 10 different coronary stents (3 mm diameter), which were placed in a vessel phantom and filled with a contrast agent (400 HU). A research prototype SPCCT and a clinical dual-layer CT (DLCT; IQon; Philips) with comparable acquisition and reconstruction parameters were used to scan the phantoms. Conventional polyenergetic (PolyE) and monoenergetic (MonoE) images with 4 different energy levels (40, 60, 90, 120 keV) were reconstructed. Qualitative (delineation of the stenosis and adjacent residual lumen using a 5-point Likert scale) and quantitative (image noise, visible lumen diameter, lumen diameter adjacent to the stenosis, contrast-to-noise ratio of the restenosis) parameters were evaluated for both systems.
RESULTS: The qualitative results averaged over all reconstructions were significantly superior for SPCCT compared with DLCT (eg, subjective rating of the best reconstruction of each scanner: DLCT PolyE: 2.80 ± 0.42 vs SPCCT MonoE 40 keV: 4.25 ± 1.03). Stenosis could be clearly detected in 9 and suspected in 10 of the 10 stents with both SPCCT and DLCT. The residual lumen next to the stenosis was clearly delineable in 7 of 10 stents (0.64 ± 0.11 mm or 34.97% of the measured stent lumen) with SPCCT, while it was not possible to delineate the residual lumen for all stents using DLCT. The measured diameter of the lumen within the stent was significantly higher for SPCCT compared with DLCT in all reconstructions with the best results for the MonoE 40 keV images (SPCCT: 1.80 ± 0.17 mm; DLCT: 1.50 ± 0.31 mm). The image noise and the contrast-to-noise ratio were better for DLCT than for SPCCT (contrast-to-noise ratio: DLCT MonoE 40: 31.58 ± 12.54; SPCCT MonoE 40: 4.64 ± 1.30).
CONCLUSIONS: Spectral photon-counting CT allowed for the noninvasive evaluation of ISR with reliable results regarding the residual lumen for most tested stents and the clear identification or suspicion of stenosis for all stents. In contrast, the residual lumen could not be detected for a single stent using DLCT.

Entities:  

Mesh:

Year:  2020        PMID: 31524765     DOI: 10.1097/RLI.0000000000000610

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  7 in total

1.  Evaluation of Coronary Plaques and Stents with Conventional and Photon-counting CT: Benefits of High-Resolution Photon-counting CT.

Authors:  Jayasai R Rajagopal; Faraz Farhadi; Taylor Richards; Moozhan Nikpanah; Pooyan Sahbaee; Sujata M Shanbhag; W Patricia Bandettini; Babak Saboury; Ashkan A Malayeri; William F Pritchard; Elizabeth C Jones; Ehsan Samei; Marcus Y Chen
Journal:  Radiol Cardiothorac Imaging       Date:  2021-10-28

2.  Photon Counting CT: Clinical Applications and Future Developments.

Authors:  Scott S Hsieh; Shuai Leng; Kishore Rajendran; Shengzhen Tao; Cynthia H McCollough
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2020-08-28

3.  Quantitative Knee Arthrography in a Large Animal Model of Osteoarthritis Using Photon-Counting Detector CT.

Authors:  Kishore Rajendran; Naveen S Murthy; Matthew A Frick; Shengzhen Tao; Mark D Unger; Katherine T LaVallee; Nicholas B Larson; Shuai Leng; Timothy P Maus; Cynthia H McCollough
Journal:  Invest Radiol       Date:  2020-06       Impact factor: 10.065

4.  In Vivo Molecular K-Edge Imaging of Atherosclerotic Plaque Using Photon-counting CT.

Authors:  Salim A Si-Mohamed; Monica Sigovan; Jessica C Hsu; Valérie Tatard-Leitman; Lara Chalabreysse; Pratap C Naha; Thibaut Garrivier; Riham Dessouky; Miruna Carnaru; Loic Boussel; David P Cormode; Philippe C Douek
Journal:  Radiology       Date:  2021-05-04       Impact factor: 29.146

Review 5.  Spectral Photon-Counting Computed Tomography: A Review on Technical Principles and Clinical Applications.

Authors:  Mario Tortora; Laura Gemini; Imma D'Iglio; Lorenzo Ugga; Gaia Spadarella; Renato Cuocolo
Journal:  J Imaging       Date:  2022-04-15

Review 6.  Spectral Photon-Counting CT Technology in Chest Imaging.

Authors:  Salim Aymeric Si-Mohamed; Jade Miailhes; Pierre-Antoine Rodesch; Sara Boccalini; Hugo Lacombe; Valérie Leitman; Vincent Cottin; Loic Boussel; Philippe Douek
Journal:  J Clin Med       Date:  2021-12-09       Impact factor: 4.241

7.  Performance of Spectral Photon-Counting Coronary CT Angiography and Comparison with Energy-Integrating-Detector CT: Objective Assessment with Model Observer.

Authors:  David C Rotzinger; Damien Racine; Fabio Becce; Elias Lahoud; Klaus Erhard; Salim A Si-Mohamed; Joël Greffier; Anaïs Viry; Loïc Boussel; Reto A Meuli; Yoad Yagil; Pascal Monnin; Philippe C Douek
Journal:  Diagnostics (Basel)       Date:  2021-12-16
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.