Computer-aided nodule detection on digital chest radiography: validation test on consecutive t1 cases of resectable lung cancer.
PURPOSE: To evaluate the usefulness of a commercially available computer-assisted diagnosis (CAD) system on operable T1 cases of lung cancer by use of digital chest radiography equipment. MATERIALS AND METHODS: Fifty consecutive patients underwent surgery for primary lung cancer, and 50 normal cases...
| Published in: | Journal of Digital Imaging Vol. 19; no. 4; pp. 376 - 383 |
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| Main Authors: | , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
Dec2006
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106200203&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106200203 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 08971889 DOQ jtl: Journal of Digital Imaging issn: 08971889 maglogo: N pubinfo: dt: Dec2006 vid: 19 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 106200203 2009480592 10.1007/s10278-006-0626-4 NLM16763934 106200203 ppf: 376 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Computer-aided nodule detection on digital chest radiography: validation test on consecutive t1 cases of resectable lung cancer. aug: au: Sakai S Soeda H Takahashi N Okafuji T Yoshitake T Yabuuchi H Yoshino I Yamamoto K Honda H Doi K affil: Department of Health Sciences, School of Medicine, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan, sakai@shs.kyushu-u.ac.jp. sug: subj: Diagnosis, Computer Assisted Lung Neoplasms Radiography Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic Methods Adult Aged Aged, 80 and Over Female Lung Neoplasms Surgery Male Middle Age Picture Archiving and Communication Systems Human Adult: 19-44 years Aged: 65+ years Aged, 80 & over Middle Aged: 45-64 years Female Male ab: PURPOSE: To evaluate the usefulness of a commercially available computer-assisted diagnosis (CAD) system on operable T1 cases of lung cancer by use of digital chest radiography equipment. MATERIALS AND METHODS: Fifty consecutive patients underwent surgery for primary lung cancer, and 50 normal cases were selected. All cancer cases were histopathologically confirmed T1 cases. All normal individuals were selected on the basis of chest computed tomography (CT) confirmation and were matched with cancer cases in terms of age and gender distributions. All chest radiographs were obtained with one computed radiography or two flat-panel detector systems. Eight radiologists (four chest radiologists and four residents) participated in observer tests and interpreted soft copy images by using an exclusive display system without and with CAD output. When radiologists diagnosed cases as positives, the locations of lesions were recorded on hard copies. The observers' performance was evaluated by receiver operating characteristic analysis. RESULTS: The overall detectability of lung cancer cases with CAD system was 74% (37/50), and the false-positive rate was 2.28 (114/50) false positives per case for normal cases. The mean A ( z ) value increased significantly from 0.896 without CAD output to 0.923 with CAD output (P = 0.018). The main cause of the improvement in performance is attributable to changes from false negatives without CAD to true positives with CAD (19/31, 61%). Moreover, improvement in the location of the tumor was observed in 1.5 cases, on average, for radiology residents. CONCLUSION: This CAD system for digital chest radiographs is useful in assisting radiologists in the detection of early resectable lung cancer. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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