Title: An artificial intelligence model utilizing endoscopic ultrasonography for differentiating
small and micro gastric stromal tumors from gastric leiomyomas
Version: 0 Date: 17 Dec 2024
Reviewer's report:
I read with great interest the article by Duan et al titled “an artificial intelligence model utilizing
endoscopic ultrasonography for differentiating small and micro gastric stromal tumors from
gastric leiomyomas”. In this report, 358 EUS images were used to generate EUS-AI training
model to differentiate small (<2 cm) and micro (<1 cm) GIST and gastric leiomyoma (GL).
Thereafter, validation set 1 and 2 were formed to assess the diagnostic performance of the same.
The article is very well detailed and I congratulate the authors for this work.
I have few comments for this manuscript:
1. There is published literature on this topic comparing GIST vs GL using EUS-AI models
(PMID: 36700302, PMID: 33827140, PMID: 38828130). The authors need to explain in the text
as to how is their study different and/or if superior, from theirs.
2. Line 99: It is already proven that EUS-FNB gives superior results to EUS-FNA for SEL
diagnosis. Please correct it and quote some relevant literature on it (PMID: 35264310; PMID:
31374187).
3. Are there any cases wherein pre-op and post-op, the histopathological diagnosis changed ?
can authors apply this EUS-AI model in the pre-op EUS images to validate the final result ?
4. Supplementary table 5: Please provide relevant definitions of junior or senior doctor, by the
number of procedures performed. Moreover, ideally, trainee and experienced endoscopist should
be used for the same.
Title: An artificial intelligence model utilizing endoscopic ultrasonography for differentiating
small and micro gastric stromal tumors from gastric leiomyomas
Version: 0 Date: 17 Dec 2024
Reviewer's report:
I read with great interest the article by Duan et al titled “an artificial intelligence model utilizing
endoscopic ultrasonography for differentiating small and micro gastric stromal tumors from
gastric leiomyomas”. In this report, 358 EUS images were used to generate EUS-AI training
model to differentiate small (<2 cm) and micro (<1 cm) GIST and gastric leiomyoma (GL).
Thereafter, validation set 1 and 2 were formed to assess the diagnostic performance of the same.
The article is very well detailed and I congratulate the authors for this work.
I have few comments for this manuscript:
1. There is published literature on this topic comparing GIST vs GL using EUS-AI models
(PMID: 36700302, PMID: 33827140, PMID: 38828130). The authors need to explain in the text
as to how is their study different and/or if superior, from theirs.
2. Line 99: It is already proven that EUS-FNB gives superior results to EUS-FNA for SEL
diagnosis. Please correct it and quote some relevant literature on it (PMID: 35264310; PMID:
31374187).
3. Are there any cases wherein pre-op and post-op, the histopathological diagnosis changed ?
can authors apply this EUS-AI model in the pre-op EUS images to validate the final result ?
4. Supplementary table 5: Please provide relevant definitions of junior or senior doctor, by the
number of procedures performed. Moreover, ideally, trainee and experienced endoscopist should
be used for the same.
Please review this paper.
user
Title: An artificial intelligence model utilizing endoscopic ultrasonography for differentiating
small and micro gastric stromal tumors from gastric leiomyomas
Version: 0 Date: 17 Dec 2024
Reviewer's report:
I read with great interest the article by Duan et al titled “an artificial intelligence model utilizing
endoscopic ultrasonography for differentiating small and micro gastric stromal tumors from
gastric leiomyomas”. In this report, 358 EUS images were used to generate EUS-AI training
model to differentiate small (<2 cm) and micro (<1 cm) GIST and gastric leiomyoma (GL).
Thereafter, validation set 1 and 2 were formed to assess the diagnostic performance of the same.
The article is very well detailed and I congratulate the authors for this work.
I have few comments for this manuscript:
1. There is published literature on this topic comparing GIST vs GL using EUS-AI models
(PMID: 36700302, PMID: 33827140, PMID: 38828130). The authors need to explain in the text
as to how is their study different and/or if superior, from theirs.
2. Line 99: It is already proven that EUS-FNB gives superior results to EUS-FNA for SEL
diagnosis. Please correct it and quote some relevant literature on it (PMID: 35264310; PMID:
31374187).
3. Are there any cases wherein pre-op and post-op, the histopathological diagnosis changed ?
can authors apply this EUS-AI model in the pre-op EUS images to validate the final result ?
4. Supplementary table 5: Please provide relevant definitions of junior or senior doctor, by the
number of procedures performed. Moreover, ideally, trainee and experienced endoscopist should
be used for the same.
assistant