Takeshi Johkoh MD, PhD, PRESENTER: Nothing to Disclose

Abstract: HTML Purpose: Various interstitial lung diseases have characteristic findings on CT. If these findings are automatically and quantitatively evaluated by using computers, it will be helpful for the differentiation and quantification of various interstitial lung diseases. Subsequently, it will lead to automatic diagnosis. The aim of this study is to achieve the quantitative analysis of the characteristic of CT images of interstitial lung diseases automatically using the volume histogram method on the basis of the texture analysis. Methods and Materials: In whole lung thin-section CT scans with following four types of abnormalities, three special values (Contrast, Variance, and Entropy) were calculated with volume histogram method on a commercially available workstation (Virtual Place, MI Lab, Tokyo, Japan); A. Thickening of bronchovascular bundles(n=9) B. Areas with ground-glass attenuation (n=6), C. Honeycombing (n=4), D.Thickening of interlobular septa(n=3). Whole lung thin-section CT was obtained within one breath-hold by an 8-channels MDCT scanner (LightSpeed Ultra, GE Medical Systems, Milwaukee, WI)) with following parameters; 1.25-mm slice collimation, 0.63-mm reconstruction interval, 10.8:1 pitch, 0.5 sec/rot, 34.5-cm FOV, high frequency algorithm, 120 kVp, and 200 mA. In addition, the changes of these three parameters for treatment were evaluated in six patients with non-specific interstitial pneumonia (NSIP). Results: In the cases with type A abnormality, the value of Contrast was larger, and the value of Variance and Entropy were smaller than those in other cases (p<0.05). All parameters had middle value in the cases with type B abnormality. In the cases with type C and D abnormalities, the value of Contrast was smaller, and the value of Variance and Entropy were larger than those in other cases (p<0.01). In addition, in all six cases with NSIP, the value of Contrast after treatment was significantly larger than that before treatment (p<0.05). There was no significant difference between Variance and Entropy before treatment and those after one. Conclusion: This method is promising for the evaluation of various interstitial lung diseases. In addition, the change of the special values will be the objective index for evaluating the effectiveness of treatment.       Questions about this event email: johkoh@sahs.med.osaka-u.ac.jp

Johkoh MD, PhD, T, Quantitative Analysis for CT Findings of Various Interstitial Lung Diseases Using the Volume Histogram Method.  Radiological Society of North America 2003 Scientific Assembly and Annual Meeting, November 30 - December 5, 2003 ,Chicago IL. http://archive.rsna.org/2003/3103371.html