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| The statistical evaluation of CT diagnosis for solitary pulmonary mass |
| WANG Qiu-ping1, NIU Gang1, ZHANG Yun1, QIANG Yong-qian1, YAN Rui2, LI Zi-cheng3, GUO You-min4 |
| 1. Imaging Center, the First Medical Hospital of Xi’an Jiaotong University, Xi’an 710061, China;
2. CT Department, the Central Hospital of Xi’an, Xi’an 710004, China;
3. Imaging Center, the County Hospital of Shenmu, Shenmu Shaanxi 719300, China;
4. Imaging Center, the Second Medical Hospital of Xi’an Jiaotong University, Xi’an 710004, China |
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Abstract To Compare the difference of CT diagnostic results for solitary pulmonary mass among different qualification physicians, through analysis there are different CT diagnostic accuracy among observers with different working background and experience. To explore methods and ways for raising CT diagnostic level of solitary pulmonary tumor is important. Methods: Forty-nine cases with pathologically proved solitary pulmonary mass are independently diagnosed with double blind method by three radiologists of different work experience on CT image. This study is to evaluate the sensitivity, specificity, accuracy rate, positive predictive value, negative predictive value and Youden value of solitary pulmonary mass. Result: There were six evaluation results for the same group of solitary pulmonary mass from three physicians. The sensitivity, specificity, accuracy rate, positive predictive value, negative predictive value and Youden value was 83.76％（196/234）, 53.33％（32/60）, 77.55％（228/294）, 87.50％（196/224）, 45.71％（32/70）, 0.371 respectively. The Kappa value was 0.349（standard error: 0.64, P＝0.000） for pathological diagnosis. There were no statistical significance of ROC area under the curve. The CT diagnostic results of stability between each radiologist exists statistical significance. Conclusion: To a certain extent, CT imaging could show the benign and malignant pathological features of solitary pulmonary mass. Follow-up visit, and special training are good methods for improving the diagnostic level of solitary pulmonary mass.
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Received: 11 April 2008
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Corresponding Authors:
GUO You-min
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2008, Vol. 19 
