Computer-aided detection of lung nodules on multidetector row computed tomography using three-dimensional analysis of nodule candidates and their surroundings

Sumiaki Matsumoto, Yoshiharu Ohno, Hitoshi Yamagata, Daisuke Takenaka, Kazuro Sugimura

研究成果: Article査読

21 被引用数 (Scopus)

抄録

Purpose. We have been developing a computer-aided detection (CAD) system for lung nodules on multidetector row computed tomography (MDCT). The scheme for nodule detection in this system is featured by three-dimensional analysis for nodule detection in nodules and their surroundings, which is designed to discriminate nodules from blood vessels. The purpose of this study was to evaluate the CAD system. Materials and methods. MDCT images from 30 patients with lung nodules were read twice, 3 weeks apart by a chest radiologist to detect noncalcified nodules of ≥4 mm. The first reading was without CAD, and the second reading was with CAD. Based on the reference standard later determined by another chest radiologist, the sensitivity of the former chest radiologist without or with CAD was obtained; the sensitivity and false-positive rate of the system alone were also obtained. Results. The reference standard consisted of 66 nodules. The sensitivity of the chest radiologist was 77% (51/66) without CAD and 91% (60/66) with CAD, showing a significant improvement. The CAD system alone showed a sensitivity of 79% (52/66) with the false-positive rate of 4.5 per patient. Conclusion. Although preliminary, these results indicate the efficacy of the CAD system.

本文言語English
ページ(範囲)562-569
ページ数8
ジャーナルRadiation Medicine - Medical Imaging and Radiation Oncology
26
9
DOI
出版ステータスPublished - 11-2008
外部発表はい

All Science Journal Classification (ASJC) codes

  • 放射線
  • 放射線学、核医学およびイメージング
  • 腫瘍学

フィンガープリント

「Computer-aided detection of lung nodules on multidetector row computed tomography using three-dimensional analysis of nodule candidates and their surroundings」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル