Improved Detection of Lung Nodules by Using a Temporal Subtraction Technique

Kakeda, Shingo; Nakamura, Katsumi; Kamada, K.; Watanabe, Hideyuki; Nakata, Hajime; Katsuragawa, Shigehiko; Doi, Kunio

doi:10.1148/radiol.2241010719

Cited by 57 publications

(24 citation statements)

References 22 publications

(14 reference statements)

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“…These results for cases selected from the mass survey of lung cancers were very similar to other previous results for cases selected from the examinations in various hospitals [5][6][7][8].…”

Section: Discussionsupporting

confidence: 88%

“…The temporal subtraction image which is obtained by subtraction of a previous image from a current image of the same patient can enhance interval changes because of the elimination of normal structures such as ribs and pulmonary vessels [3,4]. Many investigators reported the clinical usefulness of temporal subtraction images for assisting radiologists in the detection of interval changes in digital chest radiographs [5][6][7][8]. However, to our knowledge, the application and clinical evaluation of temporal subtraction for lung cancer screening have not been studied thoroughly.…”

Section: Introductionmentioning

confidence: 99%

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Clinical usefulness of temporal subtraction method in screening digital chest radiography with a mobile computed radiography system

Sasaki

Abe

Tabei

et al. 2010

Radiol Phys Technol

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The temporal subtraction image which is obtained by subtraction of a previous image from a current image of the same patient can enhance interval changes. In this study, we applied the temporal subtraction method for lung cancer screening and evaluated the clinical usefulness by comparing the review time and the detection accuracy of lung cancers without and with subtraction images. Since 1996, we have been performing screening chest radiography for a mass survey of lung cancers in the Iwate Prefecture, Japan, by using a van equipped with a computed radiography system and a digital archive system. During the 12 years from 1997 to 2008, a total of 186,340 examinations were performed, and 121,526 (65.2%) temporal subtraction images were provided in the lung cancer screening. Twenty-four abnormal cases with lung cancer and 270 normal cases were selected from the lung cancer screening. Five radiologists participated in an observer performance study and interpreted previous and current chest radiographs without and with temporal subtraction images. In addition, radiologists interpreted previous and current images with a double-reading method. The average ROC curves demonstrated a significant improvement in the detection accuracy of lung cancers with the temporal subtraction images compared with that without the temporal subtraction images, and that with the double-reading method. Therefore, we believe strongly that the temporal subtraction method is clinically useful for radiologists in the detection of lung cancers in mass surveys.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Clinical usefulness of temporal subtraction method in screening digital chest radiography with a mobile computed radiography system

Sasaki

Abe

Tabei

et al. 2010

Radiol Phys Technol

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“…3,5,7 The usefulness of temporal subtraction images in detecting a number of abnormal lesions such as lung nodules and interstitial infiltrates has previously been reported. 3,5,7,8 This usefulness is based on reliable production because excessive misregistration artifacts of temporal subtraction images often cause great problems for radiologists. Katsuragawa et al 9 , reported from comparison of the qualities of subtraction images obtained with warping and non-warping methods that clinically acceptable temporal subtraction images were produced in 81.2% (147/181) and 97.2% (176/181) of all cases with non-warping and warping subtraction method, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…6 Some reports have indicated the usefulness of temporal subtraction images in the early detection of lung cancer or infection. 3,7,8 Since January 2001, we have developed a system for the comparative interpretation of chest radiographs while referring to temporal subtraction images. A commercially available system for temporal subtraction was integrated into our hospital's PACS.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Image Quality of Temporal Subtraction Images Produced Automatically in a PACS Environment

et al. 2006

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The aim of the study is to evaluate the reliable production of temporal subtraction images in a picture archiving and communication system environment and to establish objective criteria for the evaluation of image quality. A total of 117 temporal subtraction chest images (55 in the upright position, 62 in the supine position) were obtained in five consecutive days. In all of these, we confirmed that there were no interval changes on the original images, and cases with diffuse lung disease were excluded. The temporal subtraction images were classified by three chest radiologists into five levels: 5, excellent; 4, good; 3, acceptable; 2, poor; and 1, very poor. The following were examined: (1) the yield of adequate quality of the temporal subtraction images; (2) whether the temporal subtraction images were obtained in the warping or nonwarping mode; and (3) the correlation of the overall subjective image quality with the relative shift angles, relative shift distances, and the standard deviation of gray levels in the temporal subtraction images. The percentages of acceptable temporal subtraction images were 100% and 66% in the upright and supine positions, respectively. Sixteen (26%) of the 62 supine-position images were made in nonwarping mode, whereas all upright images were made in warping mode. Significant correlations were obtained in the relative shift angle (P G 0.05), relative horizontal shift distance (P G 0.05), and standard deviation of gray levels (P G 0.0001). Temporal subtraction images with acceptable image quality were obtained in the upright position. The objective criteria may be useful for the evaluation of image quality.

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“…CAD [1][2][3] is one of useful tools to support on visual sc reening on medical fields. As one of the techniques to suppose CAD (Computer Aided Diagnosis) systems, the temporal subtraction technique has been introduced in the medical fields [4][5][6][7][8]. This technique can emphasize the interval changes on medical images by removing the most of the normal background structures such as blood vessels and airways on the thoracic CT images.…”

Section: Introductionmentioning

confidence: 99%

Detection of Lung Nodule on Temporal Subtraction Images Based on Artificial Neural Network

Tokisa¹,

Miyake²,

Maeda³

et al. 2012

International Journal of Fuzzy Logic and Intelligent Systems

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The temporal subtraction technique as one of computer aided diagnosis has been introduced in medical fields to enhance the interval changes such as formation of new lesions and changes in existing abnormalities on deference image. With the temporal subtraction technique radiologists can easily detect lung nodules on visual screening. Until now, two-dimensional temporal subtraction imaging technique has been introduced for the clinical test. We have developed new temporal subtraction method to remove the subtraction artifacts which is caused by mis-registration on temporal subtraction images of lungs on MDCT images. In this paper, we propose a new computer aided diagnosis scheme for automatic enhancing the lung nodules from the temporal subtraction of thoracic MDCT images. At first, the candidates regions included nodules are detected by the multiple threshold technique in terms of the pixel value on the temporal subtraction images. Then, a rule-base method and artificial neural networks is utilized to remove the false positives of nodule candidates which is obtained temporal subtraction images. We have applied our detection of lung nodules to 30 thoracic MDCT image sets including lung nodules. With the detection method, satisfactory experimental results are obtained. Some experimental results are shown with discussion.

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Improved Detection of Lung Nodules by Using a Temporal Subtraction Technique

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

Cited by 57 publications

References 22 publications

Clinical usefulness of temporal subtraction method in screening digital chest radiography with a mobile computed radiography system

Clinical usefulness of temporal subtraction method in screening digital chest radiography with a mobile computed radiography system

Evaluation of the Image Quality of Temporal Subtraction Images Produced Automatically in a PACS Environment

Detection of Lung Nodule on Temporal Subtraction Images Based on Artificial Neural Network

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