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RISS 인기검색어
- 검색키워드
- 저자 : Gierada, David S. (검색결과 2 건)
- 무료
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Volumetric Measurements of Lung Nodules with Multi-Detector Row CT: Effect of Changes in Lung Volume
Jin Mo Goo,김광기,David S. Gierada,Mario Castro,Kyongtae T. Bae 대한영상의학회 2006 Korean Journal of Radiology Vol.7 No.4
Objective: To evaluate how changes in lung volume affect volumetric measurements of lung nodules using a multi-detector row CT. Materials and Methods: Ten subjects with asthma or chronic bronchitis who had one or more lung nodules were included. For each subject, two sets of CT images were obtained at inspiration and at expiration. A total of 33 nodules (23 nodules 3 mm) were identified and their volume measured using a semiautomatic volume measurement program. Differences between nodule volume on inspiration and expiration were compared using the paired t-test. Percent differences, between on inspiration and expiration, in nodule attenuation, total lung volume, whole lung attenuation, and regional lung attenuation, were computed and compared with percent difference in nodule volume determined by linear correlation analysis. Results: The difference in nodule volume observed between inspiration and expiration was significant (p < 0.01); the mean percent difference in lung nodule volume was 23.1% for all nodules and for nodules 3 mm. The volume of nodules was measured to be larger on expiration CT than on inspiration CT (28 out of 33 nodules; 19 out of 23 nodules 3 mm). A statistically significant correlation was found between the percent difference of lung nodule volume and lung volume or regional lung attenuation (p < 0.05) for nodules 3 mm. Conclusion: Volumetric measurements of pulmonary nodules were significantly affected by changes in lung volume. The variability in this respiration-related measurement should be considered to determine whether growth has occurred in a lung nodule.
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Jeon, Kyung Nyeo,Goo, Jin Mo,Lee, Chang Hyun,Lee, Youkyung,Choo, Ji Yung,Lee, Nyoung Keun,Shim, Mi-Suk,Lee, In Sun,Kim, Kwang Gi,Gierada, David S.,Bae, Kyongtae T. Lippincott Williams Wilkins, Inc. 2012 Vol. No.
OBJECTIVE: The aim of this study was to evaluate whether a computer-aided diagnosis (CAD) system improves interobserver agreement in the interpretation of lung nodules at low-dose computed tomography (CT) screening for lung cancer. MATERIALS AND METHODS: Baseline low-dose screening CT examinations from 134 participants enrolled in the National Lung Screening Trial were reviewed by 7 chest radiologists. All participants consented to the use of their deidentified images for research purposes. Screening results were classified as positive when noncalcified nodules larger than 4 mm in diameter were present. Follow-up evaluation was recommended according to the nodule diameter: 4 mm or smaller, more than 4 to 8 mm, and larger than 8 mm. When multiple nodules were present, recommendations were based on the largest nodule. Readers initially assessed the nodule presence visually and measured the average nodule diameter manually. Revision of their decisions after reviewing the CAD marks and size measurement was allowed. Interobserver agreement evaluated using multirater &kgr; statistics was compared between initial assessment and that with CAD. RESULTS: Multirater &kgr; values for the positivity of the screening results and follow-up recommendations were improved from moderate (&kgr; = 0.53–0.54) at initial assessment to good (&kgr; = 0.66–0.67) after reviewing CAD results. The average percentage of agreement between reader pairs on the positivity of screening results and follow-up recommendations per case was also increased from 77% and 72% at initial assessment to 84% and 80% with CAD, respectively. CONCLUSION: Computer-aided diagnosis may improve the reader agreement on the positivity of screening results and follow-up recommendations in the assessment of low-dose screening CT.
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