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Original Articles

Exploration of a new method for Photoshop-assisted endoscopic ultrasound to distinguish gastrointestinal stromal tumor and leiomyoma

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 291-295 | Received 30 Jun 2022, Accepted 23 Aug 2022, Published online: 07 Sep 2022

Figures & data

Figure 1. Flow diagram describing the selection of the study population.

Figure 1. Flow diagram describing the selection of the study population.

Figure 2. (A) EUS images of GIL, green arrow pointing to the tumor. (B) Selected region of interest labeled red bounding boxes after Photoshop processing. (C) The gray value of GIL. (D) EUS images of GIST, green arrow pointing to the tumor. (E) Selected region of interest labeled red bounding boxes after Photoshop processing. (F) The gray value of GIST.

Figure 2. (A) EUS images of GIL, green arrow pointing to the tumor. (B) Selected region of interest labeled red bounding boxes after Photoshop processing. (C) The gray value of GIL. (D) EUS images of GIST, green arrow pointing to the tumor. (E) Selected region of interest labeled red bounding boxes after Photoshop processing. (F) The gray value of GIST.

Table 1. Baseline characteristics of the patients with histologically confirmed GISTs or GILs.

Table 2. Detailed of gray value and the mean ratio values of GISTs and GILs by Photoshop.

Figure 3. The area under the ROC curve of GISTs and GILs. (A) Tmean and Tsd; (B) Mmean, Smean, and Wmean; (C) TMratio, TSratio, and TWratio.

Figure 3. The area under the ROC curve of GISTs and GILs. (A) Tmean and Tsd; (B) Mmean, Smean, and Wmean; (C) TMratio, TSratio, and TWratio.

Table 3. Area under the curve, 95% CI, sensitivity, specificity, Youden Index and Cutoff point of datas for GISTs and GILs.

Figure 4. The sensitivity of Tmean, TMratio, TSratio, and TWratio for the diagnosis of GIL and GIST.

Figure 4. The sensitivity of Tmean, TMratio, TSratio, and TWratio for the diagnosis of GIL and GIST.