A comparison of axial versus coronal image viewing in computer-aided detection of lung nodules on CT

Tae Iwasawa, Sumiaki Matsumoto, Takatoshi Aoki, Fumito Okada, Yoshihiro Nishimura, Hitoshi Yamagata, Yoshiharu Ohno

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Purpose: To compare primarily viewing axial images (Axial mode) versus coronal reconstruction images (Coronal mode) in computer-aided detection (CAD) of lung nodules on multidetector computed tomography (CT) in terms of detection performance and reading time.

Materials and methods: Sixty CT data sets from two institutions were collected prospectively. Ten observers (6 radiologists, 4 pulmonologists) with varying degrees of experience interpreted the data sets using CAD as a second reader (performing nodule detection first without then with aid). The data sets were interpreted twice, once each for Axial and Coronal modes, in two sessions held 4 weeks apart. Jackknife free-response receiver-operating characteristic analysis was used to compare detection performances in the two modes.

Results: Mean figure-of-merit values with and without aid were 0.717 and 0.684 in Axial mode and 0.702 and 0.671 in Coronal mode; use of CAD significantly increased the performance of observers in both modes (P < 0.01). Mean reading times for radiologists did not significantly differ between Axial (156 ± 74 s) and Coronal mode (164 ± 69 s; P = 0.08). Mean reading times for pulmonologists were significantly lower in Coronal (112 ± 53 s) than in Axial mode (130 ± 80 s; P < 0.01).

Conclusion: There was no statistically significant difference between Axial and Coronal modes for lung nodule detection with CAD.

Original languageEnglish
Pages (from-to)76-83
Number of pages8
JournalJapanese journal of radiology
Volume33
Issue number2
DOIs
Publication statusPublished - 02-2014
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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