ORIGINAL RESEARCH article
Front. Oncol.
Sec. Cancer Imaging and Image-directed Interventions
Volume 15 - 2025 | doi: 10.3389/fonc.2025.1701049
Differentiating small intestinal stromal tumors from primary small intestinal lymphomas using contrast-enhanced CT and texture analysis: a diagnostic study
Provisionally accepted
Zhihua Li1Yiying Wang2Da Xi3Jian Wang1Haiyang Lan1
Xiaoning He3Na Zhao3Juan Xiao3Naiwen Mu3Jianlong Li3
Lincheng Liu3*Guanghui Yu4*- 1People’s Hospital of Juxian, Rizhao, China
- 2Qingdao Women and Children's Hospital, Qingdao, China
- 3People’s Hospital of Rizhao, Rizhao, China
- 4Shandong First Medical University and Shandong Academy of Medical Sciences, Tai'an, China
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Purpose: To assess the diagnostic performance of morphological features combined with contrast-enhanced computed tomography (CECT) texture analysis in differentiating small intestinal stromal tumors (SISTs) from primary small intestinal lymphomas (PSILs). Methods: This retrospective study included 77 patients with pathologically confirmed SISTs and 52 patients with PSILs who underwent CECT. Clinical data (age, sex, symptoms) and CT morphological features (tumor location, growth pattern, enhancement, etc.) were analyzed. Texture parameters (entropy, contrast, homogeneity, etc.) were extracted using 3D Slicer software (version 5.6.2; https://www.slicer.org/). Statistical comparisons were performed using Student's t-test or Mann–Whitney U test. Receiver operating characteristic (ROC) curve analysis was used to evaluate diagnostic efficacy. Results: Compared with PSILs, SISTs exhibited significantly higher entropy (6.21 ± 0.45 vs. 5.12 ± 0.38, P < 0.001) and contrast (45.6 ± 12.3 vs. 28.7 ± 9.4, P = 0.003), but lower homogeneity (0.32 ± 0.08 vs. 0.51 ± 0.11, P = 0.002). The combined model
Keywords: Intestinal tumor, Stromal tumor, Lymphoma, CT, Texture Analysis
Received: 08 Sep 2025; Accepted: 30 Sep 2025.
Copyright: © 2025 Li, Wang, Xi, Wang, Lan, He, Zhao, Xiao, Mu, Li, Liu and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Lincheng Liu, rzsrmyyllc@163.com
Guanghui Yu, ghyu@sdfmu.edu.cn
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