Intestinal fibrosis assessment in Crohn's disease patient using unenhanced spectral CT combined with 3D-printing technique

被引:0
|
作者
Huang, Qiapeng [1 ]
Chen, Zhihui [1 ]
Zhang, Ruonan [2 ]
Cai, Huasong [2 ]
Yang, Xufeng [2 ]
Shen, Xiaodi [2 ]
Huang, Lili [2 ]
Wang, Xinyue [2 ]
Zheng, Qingzhu [2 ]
Li, Mingzhe [3 ]
Ye, Ziyin [4 ]
Liu, Xubin [4 ]
Mao, Ren [5 ]
Wang, Yangdi [2 ]
Lin, Jinjiang [2 ]
Li, Zhoulei [2 ]
机构
[1] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Gastrointestinal Surg, Guangzhou, Peoples R China
[2] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Radiol, Guangzhou, Peoples R China
[3] Sun Yat Sen Univ, Affiliated Hosp 7, Ctr Digest Dis, Shenzhen, Peoples R China
[4] Sun Yat sen Univ, Affiliated Hosp 1, Dept Pathol, Guangzhou, Peoples R China
[5] Sun Yat Sen Univ, Affiliated Hosp 1, Dept Gastroenterol, Guangzhou, Peoples R China
来源
INSIGHTS INTO IMAGING | 2025年 / 16卷 / 01期
基金
中国国家自然科学基金;
关键词
Crohn's disease; Fibrosis; Computed tomography enterography; 3D printing; INFLAMMATORY-BOWEL-DISEASE; POSTOPERATIVE RECURRENCE; COMPUTED-TOMOGRAPHY; MR ENTEROGRAPHY; MANAGEMENT; SURGERY; RISK;
D O I
10.1186/s13244-025-01914-w
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectivesTo integrate multiple parameters derived from unenhanced spectral CT with 3D-printing technique to accurately evaluate intestinal lesions in patients with Crohn's disease (CD).MethodsPatients with proven CD who underwent preoperative spectral CT and surgery were included. The spectral CT images and histopathological specimens were achieved by employing 3D-printing technique. Diagnostic models were developed utilizing Z-Effective, Electron Density (ED), and Hounsfield unit (HU) values derived from spectral CT, along with spectral curve slopes lambda 1 and lambda 2, as well as Delta HUMonoE. The area under the receiver operating characteristic curve (AUC) and the influence of inflammation on the efficacy of the models were analyzed.ResultsThe ED and HU at MonoE 50 keV of the spectral CT were determined to exhibit the highest correlation with the fibrosis degree of the diseased intestine. The training dataset yielded an AUC of 0.828 (95% CI: 0.705-0.951). The sensitivity and specificity were calculated to be 77.3% and 82.6%, respectively. The AUC of the validation set was 0.812 (95% CI: 0.676-0.948) with a sensitivity of 63.6% and specificity of 89.7%. Moreover, our model demonstrated enhanced diagnostic accuracy for detecting fibrosis with an AUC value of 0.933 (95% CI: 0.856-1.000), sensitivity of 90.9%, and specificity of 87.0%, after regulating the influence of inflammation.ConclusionThe integration of unenhanced multi-parametric spectral CT and 3D-printing technique seems to be able to assess the intestinal fibrosis. Our diagnostic model remains effective in assessing the severity of fibrosis under presence of inflammation.Critical relevance statementOur diagnostic model accurately assessed the degree of intestinal wall fibrosis in Crohn's disease patients by using unenhanced spectral CT and 3D-printing technique, which could facilitate individualized treatment.Key PointsEvaluating the extent of Crohn's disease-related fibrosis is important.The combination of 3D-printing technique and multi-parametric spectral CT enhances diagnostic accuracy.The developed model using spectral CT allows for the assessment of intestinal fibrosis using multi-parameters.
引用
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页数:12
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