A computer-aided diagnosis (CAD) system in lung cancer screening with computed tomography

Yoshiyuki Abe, Kouzo Hanai, Makiko Nakano, Yasuyuki Ohkubo, Toshinori Hasizume, Toru Kakizaki, Masato Nakamura, Noboru Niki, Kenji Eguchi, Tadahiko Fujino, Noriyuki Moriyama

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


We evaluated a computer-aided diagnosis (CAD) system with automatic detection of pulmonary nodules for lung cancer screening with computed tomography (CT). Five hundred and eighteen participants were examined with low-dose helical CT during a lung cancer screening by three respiratory physicians according to the General Rule edited by the Japan Lung Cancer Society. Four cases were detected by CAD and pathologically diagnosed as lung cancer. We compared the detection capability of the physician and CAD in 301 participants. Three physicians determined 75/301 (24.9%) participants as "e" (suspicious of lung cancer) in consensus without CAD, while 3 participants were added to "e" with CAD. Three physicians did not independently judge as "e" in 14 (18.7%), 16 (21.3%) and 16 (21.3%) out of 75 participants. CAD could not identify 17 (22.7%) nodules of 75 participants, and all 17 were less than 6 mm in diameter. The CAD system offers a useful second opinion when physicians examine patients at lung cancer CT screenings.

Original languageEnglish
Pages (from-to)483-488
Number of pages6
JournalAnticancer research
Issue number1 B
Publication statusPublished - 2005 Jan
Externally publishedYes


  • Computer-aided diagnosis (CAD) system
  • Helical computed tomography (CT) scan
  • Lung cancer
  • Screening

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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