Utility of second-generation single-energy metal artifact reduction in helical lung computed tomography for patients with pulmonary arteriovenous malformation after coil embolization

Yudai Asano, Akihiro Tada, Takayoshi Shinya, Yoshihisa Masaoka, Toshihiro Iguchi, Shuhei Sato, Susumu Kanazawa

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Purpose: The quality of images acquired using single-energy metal artifact reduction (SEMAR) on helical lung computed tomography (CT) in patients with pulmonary arteriovenous malformation (PAVM) after coil embolization was retrospectively evaluated. Materials and methods: CT images were reconstructed with and without SEMAR. Twenty-seven lesions [20 patients (2 males, 18 females), mean age 61.2 ± 11.0 years; number of embolization coils, 9.8 ± 5.0] on contrast-enhanced CT and 18 lesions of non-enhanced lung CT concurrently performed were evaluated. Regions of interest were positioned around the coils and mean standard deviation value was compared as noise index. Two radiologists visually evaluated metallic coil artifacts using a four-point scale: 4 = minimal; 3 = mild; 2 = strong; 1 = extensive. Results: Noise index was significantly improved with SEMAR versus without SEMAR (median [interquartile range]; 194.4 [161.6–211.9] Hounsfield units [HU] vs. 243.9 [220.4–286.0] HU; p < 0.001). Visual score was significantly improved with SEMAR versus without SEMAR (Reader 1, 3 [3] vs.1 [1]; Reader 2, 3 [3] vs.1 [1]; p < 0.001). Significant differences were similarly demonstrated on lung CT (p < 0.001). Conclusion: SEMAR provided clear chest CT images in patients who underwent PAVM coil embolization.

Original languageEnglish
Pages (from-to)285-294
Number of pages10
JournalJapanese Journal of Radiology
Volume36
Issue number4
DOIs
Publication statusPublished - Apr 1 2018

Keywords

  • Artifact reduction
  • CT
  • Metal implants
  • Pulmonary arteriovenous malformation
  • Single-energy metal artifact reduction algorithm

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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