| Objective:(1) phantom study to determine the pulmonary nodule composition quantitative analysis of the feasibility of screening affect the measurement accuracy of confounding factors, the development of practical application of the best technical solution.(2) by the dynamic study of lung cancer animal models, examine a variety of radiographic parameters and the combination of different indicators for early diagnosis of lung cancer specificity and sensitivity of screening the best imaging indicators to reflect the dynamic growth characteristics of pulmonary nodules.(3) standardization of diagnostic imaging procedures for early stage lung cancer.Methods:Tomography phantom using gelatin and polystyrene, and other simple materials chest and lung nodules, from a methodological point of view to verify the feasibility and accuracy of CT the composition of quantitative analysis techniques, using multi-slice spiral CT scan of the model, measurement nodule diameter and volume. The same nodule, again with a syringe puncture injection of hot-melt gelatin increased internal density of MSCT scanning, software measurement, compare the rate of volume change and weight change rate, and screening to early assessment of nodule growth characteristics of quantitative indicators. Integrated CT morphological index, nodule volume doubling time and nodular tissue components quantitative indicators measuring results, the specificity and sensitivity of the analysis of joint various technologies for the early diagnosis of lung cancer, screening the best diagnostic indicators and processes.Data collection of clinical cases of pulmonary nodules, regular follow-up review, the measurement of nodule diameter, volume, composition quantitative analysis and comparison of nodule diameter, size and solid components of time rate of change. (2) Results:Were produced pulmonary nodule model40nodules directly weighing compared with software measurement and comparison of the two diameter, volume, weight measurement of the difference, the difference between two paired sample Wilcoxon signed rank test, p>0.05a good correlation, software measurement can reflect the changes in nodule weight, composition analysis is also consistent with the actual measurement. Experimental study of a preliminary proof of MSCT scanning thin-layer reconstruction diagram by processing software measurement is feasible to infer changes in nodular density and composition changes.Simulated nodules parameter time rate of change, the same nodule, with a syringe puncture again injected into the hot melt gelatin increased internal density of MSCT scanning, software measurement, compare the rate of volume change and weight change rate. The average rate of weight change, average rate of volume change. The same time interval weight change rate is greater than the rate of volume change.Retrospective analysis of clinical cases.Delineation of a three-dimensional regions of interest (ROI) of pulmonary nodules as the center of the ROI, including nodules and nodular peripheral part of the normal lung tissue as a whole, including segmentation technology, high-resolution CT images ladder threshold of interest calculations and statistics of the CT values of all pixels in the region, setting of the composition of the range of the CT value of the interval, different CT value range of pixels to give a different label, respectively, on behalf of the nodules within the different organizational structure composition (such as ground glass density components and the solid component, representing is not the complete filling of the lung structure of tumor cells, has been completely back to the tumor cells filling the lung structure and lung tissue of normal structure), and automatically calculate the volume of the various components and percentage of the more dynamic CT to review the multiple measurements, the different components in the assessment of nodular changes in trends, the measurement results from the cellular level to reflect the nodule internal tumor dynamic growth and change in the characteristics of lung nodules qualitative and quantitative diagnosis of basis.Conclusion:1.MSCT, scanning, software, measurement of pulmonary nodule volume, weight, high repeatability, less variability, determine the growth index for pulmonary nodules early. The measurement of weight is a collection of density and volume indicators, repeatability, variation is small, the time is higher than the volume and diameter measurement, especially high value for the diagnosis of malignant GGN.Delineation of the overall three-dimensional ROI method, without accurate measurement of tumor volume, the variation is small, and based on weight measurements, but to avoid the volume measurement error, to determine a new index for early lung nodule growth. |