期刊
FRONTIERS IN ONCOLOGY
卷 12, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fonc.2022.856345
关键词
Crohn's disease; ulcerative primary intestinal lymphoma; diagnosis; imaging; scoring model
类别
资金
- National Nature Science Foundation of China [81570505, 81970495]
- Beijing Municipal Natural Science Foundation [7202161]
- Health Research & Special Projects Grant of China [201502005]
- CAMS Innovation Fund for Medical Sciences (CIFMS) [2016-I2M-3-001, 2019-I2M-2-007]
This study established a scoring model for differentiating CD and UPIL based on clinical symptoms, endoscopic and imaging features, which showed high accuracy and discriminative ability.
BackgroundDifferential diagnosis of Crohn's disease (CD) and ulcerative primary intestinal lymphoma (UPIL) is a tough problem in clinical practice. AimsOur study identified key differences between CD and UPIL patients and aimed to further establish a scoring model for differential diagnosis. MethodsA total of 91 CD and 50 UPIL patients from 9 tertiary inflammatory bowel disease centers were included. Univariate and multivariate analyses were used to determine significant markers for differentiating CD and UPIL. A differential scoring model was established by logistic regression analysis. ResultsThe differential model was based on clinical symptoms, endoscopic and imaging features that were assigned different scores: intestinal bleeding (-2 points), extraintestinal manifestation (2 points), segmental lesions (1 point), cobblestone sign (2 points), homogeneous enhancement (-1 point), mild enhancement (-1 point), engorged vasa recta (1 point). A total score of >= 1 point indicates CD, otherwise UPIL was indicated. This model produced an accuracy of 83.66% and an area under the ROC curve of 0.947. The area under the ROC curve for validation using the 10-fold validation method was 0.901. ConclusionThis study provided a convenient and useful model to differentiate CD from UPIL.
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