Shang Eric K, Lai Eric, Pouch Alison M, Hinmon Robin, Gorman Robert C, Gorman Joseph H, Sehgal Chandra M, Ferrari Giovanni, Bavaria Joseph E, Jackson Benjamin M
Department of Surgery, University of Pennsylvania, Philadelphia, Pa.
Department of Surgery, University of Pennsylvania, Philadelphia, Pa; Division of Cardiac Surgery, University of Pennsylvania, Philadelphia, Pa.
J Vasc Surg. 2015 Apr;61(4):1034-40. doi: 10.1016/j.jvs.2013.11.065. Epub 2014 Jan 2.
Aortic wall thickness (AWT) is important for anatomic description and biomechanical modeling of aneurysmal disease. However, no validated, noninvasive method for measuring AWT exists. We hypothesized that semiautomated image segmentation algorithms applied to computed tomography angiography (CTA) can accurately measure AWT.
Aortic samples from 10 patients undergoing open thoracoabdominal aneurysm repair were taken from sites of the proximal or distal anastomosis, or both, yielding 13 samples. Aortic specimens were fixed in formalin, embedded in paraffin, and sectioned. After staining with hematoxylin and eosin and Masson's trichrome, sections were digitally scanned and measured. Patients' preoperative CTA Digital Imaging and Communications in Medicine (DICOM; National Electrical Manufacturers Association, Rosslyn, Va) images were segmented into luminal, inner arterial, and outer arterial surfaces with custom algorithms using active contours, isoline contour detection, and texture analysis. AWT values derived from image data were compared with measurements of corresponding pathologic specimens.
AWT determined by CTA averaged 2.33 ± 0.66 mm (range, 1.52-3.55 mm), and the AWT of pathologic specimens averaged 2.36 ± 0.75 mm (range, 1.51-4.16 mm). The percentage difference between pathologic specimens and CTA-determined AWT was 9.5% ± 4.1% (range, 1.8%-16.7%). The correlation between image-based measurements and pathologic measurements was high (R = 0.935). The 95% limits of agreement computed by Bland-Altman analysis fell within the range of -0.42 and 0.42 mm.
Semiautomated analysis of CTA images can be used to accurately measure regional and patient-specific AWT, as validated using pathologic ex vivo human aortic specimens. Descriptions and reconstructions of aortic aneurysms that incorporate locally resolved wall thickness are feasible and may improve future attempts at biomechanical analyses.
主动脉壁厚度(AWT)对于动脉瘤疾病的解剖学描述和生物力学建模很重要。然而,目前尚无经过验证的无创测量AWT的方法。我们假设应用于计算机断层扫描血管造影(CTA)的半自动图像分割算法能够准确测量AWT。
从10例行胸腹主动脉瘤开放修复术的患者身上获取主动脉样本,取材部位为近端或远端吻合口处,或两处均取材,共获得13个样本。将主动脉标本固定于福尔马林中,石蜡包埋,然后切片。经苏木精-伊红染色和马松三色染色后,对切片进行数字扫描并测量。使用主动轮廓、等值线轮廓检测和纹理分析等定制算法,将患者术前的CTA医学数字成像和通信(DICOM;美国国家电气制造商协会,弗吉尼亚州罗斯林)图像分割为管腔、动脉内膜和动脉外膜表面。将从图像数据得出的AWT值与相应病理标本的测量值进行比较。
CTA测定的AWT平均值为2.33±0.66mm(范围为1.52 - 3.55mm),病理标本的AWT平均值为2.36±0.75mm(范围为1.51 - 4.16mm)。病理标本与CTA测定的AWT之间的百分比差异为9.5%±4.1%(范围为1.8% - 16.7%)。基于图像的测量值与病理测量值之间的相关性很高(R = 0.935)。通过布兰德-奥特曼分析计算出的95%一致性界限在-0.42至0.42mm范围内。
经使用离体人类主动脉病理标本验证,CTA图像的半自动分析可用于准确测量局部和特定患者的AWT。纳入局部解析壁厚度的主动脉瘤描述和重建是可行的,可能会改善未来生物力学分析的尝试。