Literature DB >> 17360050

Usefulness of measuring coronary lumen density with multi-slice computed tomography to detect in-stent restenosis.

Toshiro Kitagawa, Hideya Yamamoto, Jun Horiguchi, Nobuhiko Hirai, Takashi Fujii, Katsuhide Ito, Nobuoki Kohno.   

Abstract

BACKGROUND: A method to objectively detect in-stent restenosis (ISR) with multi-slice computed tomography (MSCT) has not been established yet. We aimed to evaluate the usefulness of measuring coronary lumen density with MSCT to detect ISR.
METHODS: Forty-seven coronary stented lesions in 38 patients were evaluated with 16-slice CT (collimation thickness, 0.625 mm). In each assessable lesion, the stent lumen was visually evaluated, and reference CT density proximal to the stent (RCTD) and minimum CT density of the in-stent lumen (SCTD) were measured. ISR was defined as >50% diameter stenosis measured by quantitative coronary angiography (QCA).
RESULTS: Of 47 stented lesions, 35 (74%) were assessable, and there were 12 ISR (+) and 23 ISR (-) lesions. Mean DeltaCTD (RCTD-SCTD) of the ISR (+) group was significantly greater than that of the ISR (-) group (196+/-101 vs. 7+/-30 HU, p<0.001). Predictive accuracy of quantitative evaluation of ISR using our best cutoff value of DeltaCTD was higher than that of visual evaluation (97% vs. 83%, p<0.05). The DeltaCTD showed a higher correlation with percent diameter stenosis (r=0.85, p<0.001) than with SCTD (r=-0.73, p<0.001).
CONCLUSIONS: Measuring differences of CT densities between reference vessel lumens and in-stent lumens using MSCT is a convenient and useful technique to detect ISR.

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Year:  2007        PMID: 17360050     DOI: 10.1016/j.ijcard.2006.11.231

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  2 in total

1.  CT Imaging of Coronary Stents: Past, Present, and Future.

Authors:  Andreas H Mahnken
Journal:  ISRN Cardiol       Date:  2012-09-11

2.  Diagnostic value of intraluminal stent enhancement in estimating coronary in-stent restenosis.

Authors:  Mehdi Karami Nogourani; Maryam Moradi; Amirreza Sajjadieh Khajouei; Maryam Farghadani; Atefeh Eshaghian
Journal:  J Clin Imaging Sci       Date:  2020-03-31
  2 in total

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