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Clinical and CT imaging features were compared between the two groups. Independent predictors were identified using univariate and multivariate logistic regression analyses. A predictive model was constructed and converted into a simplified scoring system based on regression coefficients. Model performance was evaluated using receiver operating characteristic (ROC) analysis and the Hosmer\u2013Lemeshow goodness-of-fit test.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The analysis revealed eight variables with statistically significant differences (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009&lt;\u20090.05). Four variables were included in the score model, including long diameter\/short diameter (LD\/SD) ratio, calcification (mild), calcification (moderate), and degree of enhancement (moderate), and identified as independent predictors of CFT. The scoring system ranged from \u2212\u20092 to 5 points, where higher scores correlated with a greater likelihood of CFT. The AUCs for the predictive model and scoring model were 0.833 and 0.822, respectively, with no significant difference between the two (\n                      <jats:italic>P<\/jats:italic>\n                      \u2009=\u20090.595). To facilitate clinical application, the scoring system was divided into four ranges, with corresponding probabilities of CFT of 7.14%, 14.29%, 64.71%, and 80.00%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The proposed CT-based predictive model and scoring system demonstrate good diagnostic performance and may enhance diagnostic confidence, potentially reducing unnecessary invasive procedures when CFT is suspected.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12880-026-02322-2","type":"journal-article","created":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T13:05:40Z","timestamp":1774962340000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A scoring model for differentiating gastric calcifying fibrous tumors from gastrointestinal stromal tumors less than 2\u00a0cm based on CT features"],"prefix":"10.1186","volume":"26","author":[{"given":"Huijia","family":"Yin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxia","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Beiran","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Zang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuaina","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sujuan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongpo","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongming","family":"Han","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Risheng","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,31]]},"reference":[{"key":"2322_CR1","first-page":"798","volume":"112","author":"NS Rosenthal","year":"1988","unstructured":"Rosenthal NS, Abdul-Karim FW. 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