Differentiating small intestinal stromal tumors from primary small intestinal lymphomas using contrast-enhanced CT and texture analysis: a diagnostic study

The integration of CECT morphological features and texture analysis enhances the differentiation of SISTs from PSILs, offering a valuable tool for improving preoperative diagnostic accuracy and guiding clinical decision-making in intestinal tumors.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-10-24
DOI
https://doi.org/10.3389/fonc.2025.1701049
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Differentiating small intestinal stromal tumors from primary small intestinal lymphomas using contrast-enhanced CT and texture analysis: a diagnostic study

Jian Wang, Da Xi, Xiaoning He, Zhi‐Hua Li et al.
Frontiers in Oncology
Radiomics and Machine Learning in Medical Imaging
article

Differentiating small intestinal stromal tumors from primary small intestinal lymphomas using contrast-enhanced CT and texture analysis: a diagnostic study

Jian Wang, Da Xi, Xiaoning He, Zhi‐Hua Li, Jianlong Li, Nan Mu, Guanghui Yu, Na Zhao, Juan Xiao, Lincheng Liu, Yiying Wang, Haiyang Lan
article en

Abstract

The integration of CECT morphological features and texture analysis enhances the differentiation of SISTs from PSILs, offering a valuable tool for improving preoperative diagnostic accuracy and guiding clinical decision-making in intestinal tumors.

Frontiers in OncologyVol. 15
Qingdao University (CN), People’s Hospital of Rizhao (CN), Affiliated Hospital of Taishan Medical University (CN), Shandong First Medical University (CN), Yuxian People's Hospital (CN), Qingdao Women and Children's Hospital (CN)
Openalex Percentile: Top 55%
Radiomics and Machine Learning in Medical Imaging
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