ArticleEuropean radiology2019
The roles of CT and EUS in the preoperative evaluation of gastric gastrointestinal stromal tumors larger than 2 cm.
Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 44 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Multicenter Observational Study of a Multimodal AI Model Using EUS, White-Light Endoscopy, and Clinical Data for Diagnosis of Upper GI Mesenchymal Tumors and Risk Stratification of Gastric GISTs
Contrast-Enhanced Harmonic Endoscopic Ultrasound for the Differential Diagnosis Between Gastrointestinal Stromal Tumors and Leiomyomas: A Multicenter Prospective Self-Controlled Study
Who cites it
44 citing papers in PubMed, 67 citations in OpenAlex.
- Risk stratification for 1- to 2-cm gastric gastrointestinal stromal tumors: visual assessment of CT and EUS high-risk features versus CT radiomics analysis.European radiology · 2023Trial
- Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors.Scientific reports · 2021Trial
- Jejunal and ileal gastrointestinal stromal tumors: differences in clinicopathologic and computed tomography features.Abdominal radiology (New York) · 2026Article
- Integrating CT radiomics and morphologic features for preoperative risk stratification of gastrointestinal stromal tumours.Scientific reports · 2026Article
- Correlation of ultrasonic characteristics, clinicopathological features, and biological risk classification in gastric gastrointestinal stromal tumors and construction of a preoperative prediction model: a feasibility study.Quantitative imaging in medicine and surgery · 2026Article
- Correlation between imaging features and pathological risk of gastric stromal tumors in endoscopic ultrasonography and enhanced computed tomography.BMC gastroenterology · 2026Article
- CT assessed morphological features can predict higher mitotic index in gastric gastrointestinal stromal tumors.European radiology · 2025Article
- Study on the predictive value of preoperative CT features for the mitotic index of GIST based on the nomogram.Scientific reports · 2025Article
- Association between calcification and risk stratification in gastric gastrointestinal stromal tumors.Abdominal radiology (New York) · 2025Article
- Correlation of preoperative CT features with intra- and postoperative parameters of endoscopic resection in patients with gastric submucosal tumor (1~3 cm).Surgical endoscopy · 2025Article
- The maximum transverse diameter: an effective indicator for predicting peroral en bloc retrieval rate of mesenchymal tumors after endoscopic resection.Surgical endoscopy · 2025Article
- An ultrasound based method for predicting the malignant potential of primary gastrointestinal stromal tumors preoperatively.Abdominal radiology (New York) · 2024Article
- Prediction of high Ki-67 proliferation index of gastrointestinal stromal tumors based on CT at non-contrast-enhanced and different contrast-enhanced phases.European radiology · 2024Article
- Development and validation of a preoperative risk nomogram prediction model for gastric gastrointestinal stromal tumors.Surgical endoscopy · 2024Article
- Predicting the risk stratification of gastrointestinal stromal tumors using machine learning-based ultrasound radiomics.Journal of medical ultrasonics (2001) · 2024Article
- Article
- CT gastrography and enterography retrospective analysis: thickened diaphragm crura is a false indication for a gastric fundic tumor.Frontiers in oncology · 2024Article
- Machine learning-based predictive model for the differential diagnosis of ≤ 5 cm gastric stromal tumor and gastric schwannoma based on CT images.Discover oncology · 2023Article
- Multi-Slice CT Features Predict Pathological Risk Classification in Gastric Stromal Tumors Larger Than 2 cm: A Retrospective Study.Diagnostics (Basel, Switzerland) · 2023Article
- Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis.World journal of gastrointestinal endoscopy · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
objectiveThis study aimed to investigate the endoscopic ultrasound (EUS) and computed tomography (CT) features of gastric gastrointestinal stromal tumors (GISTs) for assessing potential malignancy and prognosis.
methodsFifty consecutive patients with primary gastric GISTs larger than 2 cm were retrospectively enrolled in this study. The association of CT and EUS features with malignancy was analyzed using univariate and stepwise logistic regression method. The agreement between EUS/CT lesion size and pathologic tumor size was analyzed by calculating the intraclass correlation coefficient (ICC) value, and the association of imaging features with mitotic counts was further analyzed using univariate analysis. The Kaplan-Meier method and Cox proportional hazards models were used to assess the value of imaging features for predicting the prognosis of GIST patients.
resultsTumor size > 5 cm and an exophytic/mixed growth pattern on CT as well as tumor size > 5 cm and the presence of cystic spaces on EUS were independent predictors of highly malignant GISTs (all p < 0.05). The ICC values of CT/EUS lesion size relative to pathologic tumor size showed very good reliability (0.853 for EUS and 0.831 for CT). Only tumor shape and growth pattern on CT were significant for predicting mitotic index (both p < 0.05). Direct organ invasion on CT (p = 0.036; hazard ratio [HR] = 11.891) and serosal invasion on EUS (p = 0.015; HR = 8.223) were independent adverse prognostic factors.
conclusionsCT features may be more useful than EUS features for predicting tumor mitotic index. In addition, preoperative imaging features can help predict the prognosis of gastric GISTs. KEY POINTS: • Both CT and EUS features can be used for risk stratification of gastric GISTs larger than 2 cm. • CT features performed better than EUS features for predicting tumor mitotic index. • Preoperative imaging features can help predict the prognosis of gastric GISTs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.