Semi-automatic volumetry of solid pulmonary nodules improves the interobserver consistency of Lung-RADS score
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Department of Radiology, Xijing Hospital of Air Force Medical University

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R445.3

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    Abstract:

    Objective To study the effect of solid pulmonary nodules volume measurement by 3D-Slicer software on the interobserver consistency of lung CT screening reporting and data system(Lung-RADS) categories.Methods Seventy-six solid nodules from 76 patients were included in this study. The diameter and volume of nodules were obtained by three radiologists using manual and 3D-Slicer software semi-automatic volume measurement methods,respectively,and the raw data was converted to the corresponding Lung-RADS score,of which 2 points was negative and 3 points or above was positive. Intraclass correlation coefficient(ICC) and Bland-Altman index were used to evaluate the interobserver consistency of diameter and volume measurements. Kappa analysis was used to evaluate the interobserver consistency of Lung-RADS score and the intergroup consistency of positive/negative.Results ICC analysis showed that the consistency of manual diameter measurement(0.994-0.996) was significantly lower than that of semi-automatic volume measurement(0.997-0.998),and Bland-Altman index analysis showed that the bias of manual diameter measurement was higher than that of semi-automatic volume measurement. Compared with manual diameter measurement,the use of semi-automatic volume measurement can significantly improve the consistency of Lung-RADS score and positive/negative classifications(0.963-0.975 and 0.957-0.977 vs. 0.833-0.866 and 0.863-0.892).Conclusion 3D-Slicer semi-automatic volume measurement can improve the interobserver consistency of the size measurement of solid pulmonary nodules, as well as the corresponding Lung-RADS categories.

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Liu Huijia, Zhang Yu. Semi-automatic volumetry of solid pulmonary nodules improves the interobserver consistency of Lung-RADS score[J]. Journal of Chongqing Medical University,2023,48(5):544-547

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History
  • Received:July 07,2022
  • Revised:
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  • Online: June 20,2023
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