Radiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online before print May 17, 2002, 10.1148/radiol.2241010719
This Article
Right arrow Figures Only
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
2241010719v1
224/1/145    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kakeda, S.
Right arrow Articles by Doi, K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kakeda, S.
Right arrow Articles by Doi, K.
(Radiology 2002;224:145-151.)
© RSNA, 2002


Thoracic Imaging

Improved Detection of Lung Nodules by Using a Temporal Subtraction Technique1

Shingo Kakeda, MD, Katsumi Nakamura, MD, Koji Kamada, MD, Hideyuki Watanabe, MD, Hajime Nakata, MD, Shigehiko Katsuragawa, PhD and Kunio Doi, PhD

1 From the Department of Radiology, University of Occupational and Environmental Health School of Medicine, Iseigaoka 1-1, Yahatanisi-ku, Kitakyushu-shi 807-8555, Japan (S. Kakeda, K.N., K.K., H.W., H.N.); Research Center, Nippon Bunri University, Ooita-shi, Japan (S. Katsuragawa); and Kurt Rossmann Laboratories for Radiologic Image Research, Department of Radiology, University of Chicago, Ill (K.D.). Received August 17, 2001; revision requested May 10; final revision received January 8, 2002; accepted January 29. Address correspondence to S. Kakeda (e-mail: kakeda@med.uoeh-u.ac.jp).

PURPOSE: To evaluate the effect of a temporal subtraction technique for digital chest radiography with regard to the accuracy of detection of lung nodules.

MATERIALS AND METHODS: Twenty solitary lung nodules smaller than 30 mm in diameter, including 10 lung cancers and 10 benign nodules, were used. The nodules were grouped subjectively according to their subtlety. For nonnodular cases, 20 nodules without perceptible interval changes were selected. All chest radiographs were obtained by using a computed radiographic system, and temporal subtraction images were produced by using a program developed at the University of Chicago. The effect of the temporal subtraction image was evaluated by using an observer performance study, with use of receiver operating characteristic analysis.

RESULTS: Observer performance with temporal subtraction images was substantially improved (Az = 0.980 and 0.958), as compared with that without temporal subtraction images (Az = 0.920 and 0.825) for the certified radiologists and radiology residents, respectively. The temporal subtraction technique clearly improved diagnostic accuracy for detecting lung nodules, especially subtle cases.

CONCLUSION: The temporal subtraction technique is useful for improving detection accuracy for peripheral lung nodules on digital chest radiographs.

© RSNA, 2002

Index terms: Diagnostic radiography, observer performance • Diagnostic radiology, 60.1215 • Lung, abnormalities, 60.31, 60.3211, 60.3212, 60.3213 • Lung neoplasms, diagnosis, 60.1215, 60.31, 60.3211, 60.3212, 60.3213 • Subtraction, digital, 60.1215




This article has been cited by other articles:


Home page
Am. J. Roentgenol.Home page
F. Li, R. Engelmann, K. Doi, and H. MacMahon
Improved Detection of Small Lung Cancers with Dual-Energy Subtraction Chest Radiography
Am. J. Roentgenol., April 1, 2008; 190(4): 886 - 891.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
S. Kakeda, Y. Korogi, H. Arimura, T. Hirai, S. Katsuragawa, T. Aoki, and K. Doi
Diagnostic Accuracy and Reading Time to Detect Intracranial Aneurysms on MR Angiography Using a Computer-Aided Diagnosis System
Am. J. Roentgenol., February 1, 2008; 190(2): 459 - 465.
[Abstract] [Full Text] [PDF]


Home page
RadiologyHome page
H. P. McAdams, E. Samei, J. Dobbins III, G. D. Tourassi, and C. E. Ravin
Recent Advances in Chest Radiography
Radiology, December 1, 2006; 241(3): 663 - 683.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
S. Kakeda, K. Kamada, Y. Hatakeyama, T. Aoki, Y. Korogi, S. Katsuragawa, and K. Doi
Effect of temporal subtraction technique on interpretation time and diagnostic accuracy of chest radiography.
Am. J. Roentgenol., November 1, 2006; 187(5): 1253 - 1259.
[Abstract] [Full Text] [PDF]


Home page
Br. J. Radiol.Home page
K Doi
Current status and future potential of computer-aided diagnosis in medical imaging
Br. J. Radiol., January 1, 2005; 78(suppl_1): S3 - s19.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
S. Kakeda, J. Moriya, H. Sato, T. Aoki, H. Watanabe, H. Nakata, N. Oda, S. Katsuragawa, K. Yamamoto, and K. Doi
Improved Detection of Lung Nodules on Chest Radiographs Using a Commercial Computer-Aided Diagnosis System
Am. J. Roentgenol., February 1, 2004; 182(2): 505 - 510.
[Abstract] [Full Text] [PDF]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
RADIOLOGY RADIOGRAPHICS RSNA JOURNALS ONLINE
Copyright © 2002 by the Radiological Society of North America.