Incorporation of a computer-aided vessel-suppression system to detect lung nodules in CT images: effect on sensitivity and reading time in routine clinical settings

Taku Takaishi, Yoshiyuki Ozawa, Yuya Bando, Akiko Yamamoto, Sachiko Okochi, Hirochika Suzuki, Yuta Shibamoto

研究成果: ジャーナルへの寄稿学術論文査読

2 被引用数 (Scopus)

抄録

Purpose: To evaluate whether a computer-aided vessel-suppression system improves lung nodule detection in routine clinical settings. Materials and methods: We used computer software that automatically suppresses pulmonary vessels on chest CT while preserving pulmonary nodules. Sixty-one chest CT images were included in our study. Three radiologists independently read either standard CT images alone or both computer-aided CT and standard CT images randomly to detect a pulmonary nodule ≥ 4 mm in diameter. After an interval of at least 15 days to avoid recall bias, the three radiologists interpreted the counterpart images of the same patients. The reference standard was decided by an expert panel. The primary endpoint was sensitivity. The secondary endpoint was interpretation time. Results: The average sensitivity improved with computer-aided CT (72% for standard CT vs. 84% for computer-aided CT, p = 0.02). There was no difference in the false-positive rate (21% for both standard CT and computer-aided CT, p = 0.98). Although the average reading time was 9.5% longer for computer-aided plus standard CT compared with standard CT alone, the difference was not significant (p = 0.11). Conclusion: Vessel-suppressed CT images helped radiologists to improve the sensitivity of pulmonary nodule detection without compromising the false-positive rate.

本文言語英語
ページ(範囲)159-164
ページ数6
ジャーナルJapanese journal of radiology
39
2
DOI
出版ステータス出版済み - 02-2021
外部発表はい

All Science Journal Classification (ASJC) codes

  • 放射線学、核医学およびイメージング

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