Scoring systems for differentiating gastrointestinal stromal tumors and schwannomas from leiomyomas in the stomach

There is no practical predictive model for the diagnosis of gastrointestinal stromal tumors (GISTs). To establish a practical predictive model for the diagnosis of subepithelial lesions in the stomach, we reviewed patients with GISTs (n = 89), schwannomas (n = 7), and leiomyomas (n = 28).The tumor w...

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Bibliographic Details
Published in:Medicine (Baltimore) 2021-10, Vol.100 (40), p.e27520-e27520
Main Authors: Okanoue, Shotaro, Iwamuro, Masaya, Tanaka, Takehiro, Satomi, Takuya, Hamada, Kenta, Sakae, Hiroyuki, Abe, Makoto, Kono, Yoshiyasu, Kanzaki, Hiromitsu, Kawano, Seiji, Kawahara, Yoshiro, Okada, Hiroyuki
Format: Article
Language:English
Subjects:
Algorithms
Cardia - pathology
Diagnosis, Differential
Endosonography
Gastrointestinal Neoplasms - diagnostic imaging
Gastrointestinal Neoplasms - pathology
Gastrointestinal Stromal Tumors - diagnostic imaging
Gastrointestinal Stromal Tumors - pathology
Humans
Leiomyoma - diagnostic imaging
Leiomyoma - pathology
Neurilemmoma - diagnostic imaging
Neurilemmoma - pathology
Observational Study
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Summary:There is no practical predictive model for the diagnosis of gastrointestinal stromal tumors (GISTs). To establish a practical predictive model for the diagnosis of subepithelial lesions in the stomach, we reviewed patients with GISTs (n = 89), schwannomas (n = 7), and leiomyomas (n = 28).The tumor was more frequently found along the gastric cardia in the leiomyoma group (57.1%) than in the GIST/schwannoma group (2.1%, P 
ISSN:0025-7974
1536-5964
DOI:10.1097/MD.0000000000027520