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

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An Erratum to this article was published on 01 April 2009

Abstract

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.

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Authors and Affiliations

  1. Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan

    Sumiaki Matsumoto, Yoshiharu Ohno, Daisuke Takenaka & Kazuro Sugimura

  2. Research and Development Center, Toshiba Medical Systems Corporation, Otawara, Japan

    Hitoshi Yamagata

Authors
  1. Sumiaki Matsumoto
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  2. Yoshiharu Ohno
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  3. Hitoshi Yamagata
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  4. Daisuke Takenaka
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  5. Kazuro Sugimura
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Corresponding author

Correspondence to Sumiaki Matsumoto.

Additional information

An erratum to this article is available at http://dx.doi.org/10.1007/s11604-009-0318-3.

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Matsumoto, S., Ohno, Y., Yamagata, H. et al. Computer-aided detection of lung nodules on multidetector row computed tomography using three-dimensional analysis of nodule candidates and their surroundings. Radiat Med 26, 562–569 (2008). https://doi.org/10.1007/s11604-008-0272-5

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  • DOI: https://doi.org/10.1007/s11604-008-0272-5

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