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Noninvasive prediction model for diagnosing gastrointestinal stromal tumors using contrast-enhanced harmonic endoscopic ultrasound

Authors
 In Rae Cho  ;  Jun Chul Park  ;  Yun Ho Roh  ;  Soo In Choi  ;  Jeung Eun Lee  ;  Eun Hye Kim  ;  Sung Kwan Shin  ;  Sang Kil Lee  ;  Yong Chan Lee 
Citation
 Digestive and Liver Disease, Vol.51(7) : 985-992, 2019 
Journal Title
 Digestive and Liver Disease 
ISSN
 1590-8658 
Issue Date
2019
Keywords
Contrast-enhanced harmonic endoscopic ultrasound ; Gastrointestinal stromal tumor ; Leiomyoma ; Subepithelial tumor
Abstract
BACKGROUND & AIMS: Subepithelial tumors (SETs) are difficult to diagnose accurately without invasive pathological confirmation. We created a noninvasive prediction model for diagnosing gastrointestinal stromal tumors (GISTs) using contrast-enhanced harmonic endoscopic ultrasound (CEH-EUS). METHODS: We retrospectively reviewed 176 patients who underwent CEH-EUS from October 2011 to August 2017. Seventy patients with a diagnosis of GIST (n = 37) or leiomyoma (n = 33) were included. The long-to-short axis ratio (LSR) and enhancement patterns (vascularity, diffuse enhancement) on CEH-EUS were assessed. Logistic regression and classification and regression tree (CART) analyses were performed. RESULTS: The mean age of all patients was 54.9 ± 13.68 years. The GIST group showed significantly higher rates of positive vascularity (81.1% vs. 15.2%, p < 0.001) and diffuse enhancement (51.4% vs. 15.2%, p = 0.001), and lower LSR (1.30 vs. 1.76, p < 0.001). In multivariate logistic regression, positive vascularity (odds ratio [OR] 27.765, 95% confidence interval [CI] 5.336-144.458) and low LSR (OR 18.940, 95% CI 3.623-99.007) were independent predictors of GIST. A noninvasive prediction model for GISTs was developed using the CART model, by allocating patients according to statistically significant variables. CONCLUSIONS: The LSR and vascularity of SETs on CEH-EUS can be used as parameters for a noninvasive prediction model of GISTs. This model may be helpful in the early identification and treatment of GISTs.
Full Text
https://www.sciencedirect.com/science/article/pii/S1590865819301033
DOI
10.1016/j.dld.2019.02.017
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Eun Hye(김은혜) ORCID logo https://orcid.org/0000-0001-6691-6837
Park, Jun Chul(박준철) ORCID logo https://orcid.org/0000-0001-8018-0010
Shin, Sung Kwan(신성관) ORCID logo https://orcid.org/0000-0001-5466-1400
Lee, Sang Kil(이상길) ORCID logo https://orcid.org/0000-0002-0721-0364
Lee, Yong Chan(이용찬) ORCID logo https://orcid.org/0000-0001-8800-6906
Lee, Jung Eun(이정은) ORCID logo https://orcid.org/0000-0003-0917-2872
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/171310
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