He Xin, Zhong Yubin, Cao Hua, Cheng Zhangbo
Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China.
Department of Cardiovascular Surgery, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Front Cardiovasc Med. 2025 Jun 13;12:1633817. doi: 10.3389/fcvm.2025.1633817. eCollection 2025.
This study aims to investigate the role of perivascular adipose tissue (PVAT) attenuation in predicting residual false lumen formation following thoracic endovascular aortic repair (TEVAR) in patients with Stanford Type B aortic dissection (TBAD). The focus is on the association between PVAT attenuation (HUand HU) and postoperative outcomes, particularly the development of residual false lumen.
A retrospective analysis was conducted on 132 patients who underwent TEVAR for TBAD at Fujian Provincial Hospital between 2016 and 2024. Patients were classified into two groups based on postoperative imaging findings: those with residual false lumen and those with completely closed false lumen. Data collected included demographic, biochemical, and imaging parameters. PVAT was assessed using computed tomography angiography (CTA), with the TotalSegmenter deep learning model used for automatic segmentation. Two indicators-Hounsfield unit difference (HU) and Hounsfield unit ratio (HU)-were calculated.
Patients with residual false lumen showed significantly higher HU (8.75 ± 3.29 vs. 5.16 ± 2.84, < 0.001) and lower HU (0.73 ± 0.13 vs. 0.85 ± 0.11, < 0.001) compared to those with closed false lumen. Multivariate logistic regression identified HU and HU as independent predictors of residual false lumen formation after TEVAR. ROC curve analysis revealed optimal cut-off values for predicting residual false lumen: HU > 7.170 (sensitivity 0.895, specificity 0.762) and HU ≤ 0.790 (sensitivity 0.947, specificity 0.667).
PVAT attenuation, reflected by HU and HU, serves as a significant, non-invasive imaging biomarker for predicting residual false lumen formation after TEVAR in TBAD patients. These findings suggest that preoperative evaluation of PVAT characteristics can help identify high-risk patients and guide postoperative management strategies. Further prospective studies are needed to validate these findings and explore the potential of PVAT modulation in improving long-term outcomes following TEVAR.
本研究旨在探讨血管周围脂肪组织(PVAT)衰减在预测斯坦福B型主动脉夹层(TBAD)患者胸主动脉腔内修复术(TEVAR)后残余假腔形成中的作用。重点关注PVAT衰减(HU和HU)与术后结果之间的关联,特别是残余假腔的形成。
对2016年至2024年在福建省立医院接受TEVAR治疗的132例TBAD患者进行回顾性分析。根据术后影像学检查结果将患者分为两组:有残余假腔的患者和假腔完全闭合的患者。收集的数据包括人口统计学、生化和影像学参数。使用计算机断层血管造影(CTA)评估PVAT,采用TotalSegmenter深度学习模型进行自动分割。计算两个指标——豪斯菲尔德单位差异(HU)和豪斯菲尔德单位比值(HU)。
与假腔闭合的患者相比,有残余假腔的患者显示出显著更高的HU(8.75±3.29对5.16±2.84,<0.001)和更低的HU(0.73±0.13对0.85±0.11,<0.001)。多因素逻辑回归确定HU和HU是TEVAR后残余假腔形成的独立预测因素。ROC曲线分析显示预测残余假腔的最佳截断值:HU>7.170(敏感性0.895,特异性0.762)和HU≤0.790(敏感性0.947,特异性0.667)。
由HU和HU反映的PVAT衰减是预测TBAD患者TEVAR后残余假腔形成的重要非侵入性影像学生物标志物。这些发现表明,术前评估PVAT特征有助于识别高危患者并指导术后管理策略。需要进一步的前瞻性研究来验证这些发现,并探索PVAT调节在改善TEVAR后长期结果方面的潜力。