RESUMO
Objective To investigate the application value of Photoshop in grading invasive risk of gastric stromal tumors (GSTs). Methods EUS image of 97 cases of GSTs confirmed by pathological and immunohistochemical examination were collected. GSTs were divided into four groups (very low risk, low risk, intermediate risk, high risk) by tumor size, mitotic count and rupture of tumor. Mean gray value (intensity of echo) and gray value standard deviation (uniformity of echo) of EUS images of the lesions were determined by Photoshop and then the differences of each group were found by statistical analysis. Results It is difficult to differentiate EUS images of GSTs from each group by visual observation. The mean gray value of EUS image of very low risk group,low risk group, intermediate risk group and high risk group of GSTs respectively were (56.54 ± 6.10), (59.20 ± 7.51), (77.77 ± 10.90) and (83.43 ± 12.47). There was no significant difference between very low risk group and low risk group (P > 0.05). There was no significant difference between intermediate risk group and high risk group (P > 0.05). In addition, the others all had significantly different from that of each group (P 0.05). In addition, the others all had significantly different from that of each group (P < 0.05). Conclusions The higher risk of GSTs, the higher of echo intensity and the worse of echo uniformity under EUS. Photoshop combined with EUS is helpful for differentiating different risk of GSTs by analyzing mean gray value and gray value standard deviation of the lesions.
RESUMO
Background:Endoscopic ultrasonography( EUS)is the first choice for examining submucosal protuberant lesions in the gastrointestinal tract,however,it is very difficult to differentiate gastric stromal tumor from gastric leiomyoma. Photoshop software now is tried to differentiate some easily misdiagnosed diseases. Aims:To investigate the value of Photoshop software in differentiating EUS image of gastric stromal tumor from gastric leiomyoma. Methods:EUS image of 118 cases of gastric stromal tumor and 42 cases of gastric leiomyoma confirmed by pathological and immunohistochemical examination were collected,mean gray value( intensity of echo)and gray value standard deviation( uniformity of echo)of EUS image of lesion were determined by Photoshop software,and the differentiation value was analyzed. Results:The mean gray value of EUS image of gastric stromal tumor was significantly higher than that of gastric leiomyoma(71. 94 vs. 48. 99,P<0. 01). The gray value standard deviation of EUS image of gastric stromal tumor was significantly higher than that of gastric leiomyoma(16. 63 vs. 9. 80,P<0. 01). Conclusions:Under EUS,gastric stromal tumor exhibits higher intensity of echo and less uniformity of echo than gastric leiomyoma. EUS combined with Photoshop software is helpful for differentiating gastric stromal tumor from gastric leiomyoma by analyzing mean gray value and gray value standard deviation of the lesion.