ArticlePloS one2016
CT Features of Colorectal Schwannomas: Differentiation from Gastrointestinal Stromal Tumors.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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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.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Management of Gastrointestinal Schwannomas: A State-of-the-Art Review.Journal of gastrointestinal cancer · 2026Review
- Parasitic leiomyoma of the small bowel mesentery mimicking a gastrointestinal stromal tumor: a case report.Frontiers in oncology · 2026Article
- Case Report: Benign colonic schwannoma with restricted diffusion mimicking malignancy.Frontiers in oncology · 2026Article
- Cecal schwannoma: A case report and literature review.The Journal of international medical research · 2025Review
- Clinicopathological features and treatment of gastrointestinal schwannomas.World journal of gastroenterology · 2025Article
- Systemic multiple myeloma and colonic abnormalities.VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy · 2023Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo find differential CT features of colorectal schwannomas from gastrointestinal stromal tumors (GISTs). MATERIALS AND
methodsCT features of 13 pathologically proven colorectal schwannomas and 21 GISTs were retrospectively reviewed. The following CT items were analyzed: size, longitudinal and transverse location, shape, margin, homogeneity, necrosis, surface ulceration, calcification, degree of attenuation, the presence of enlarged lymph node (LN), and metastasis. Among the features, significant variables were evaluated using univariate statistical tests. The optimal cut-off point of tumor size was obtained by ROC analysis. Binary logistic regression analysis was used to find the most independent CT variables.
resultsSmall size, non-rectum location, smooth margin, homogeneous high attenuation without necrosis, and the presence of enlarged LNs were found to be significant variables to differentiate schwannomas from GISTs (P<0.05). The optimized cut-off point for tumor size in distinguishing GISTs from schwannomas was 3.9 cm (AUC = 0.808, sensitivity = 66.7%, specificity = 92.3%, P<0.0001). Binary regression analysis revealed that only non-rectum location remained independent predictor for schwannomas differentiated from GISTs (odds ratio = 31.667, P = 0.001).
conclusionColorectal schwannomas usually located in non-rectum and appear as small subepithelial nodules showing homogeneous high attenuation and smooth margin. Schwannomas exclusively accompany with enlarged LNs.
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Registered trials
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