Thoracic Aorta Remodeling after TEVAR: Monitoring Morphological Parameters to Predict Unfavorable Evolution
by Mariangela De Masi1,2*, Carine Guivier-Curien2, Mohamed Boucekine3, Pierre Antoine Barral4, Laurence Bal1, Virgile Omnes1, Marine Gaudry1, Alexis Jacquier4, Philippe Piquet1 and Valérie Deplano2
1Department of Vascular Surgery, Timone Aortic Center, APHM, Timone Hospital, 13005 Marseille, France
2CNRS, Centrale Marseille, IRPHE, Aix Marseille University, 13013 Marseille, France
3Aix Marseille Univ, CEReSS EA3279, 13005 Marseille, France
4Department of Radiology, APHM, Timone Hospital, 13005 Marseille, France
*Corresponding author: Mariangela De Masi, Department of Vascular Surgery, Timone Aortic Center, APHM- Timone Hospital, 13005 Marseille, France
Received Date: 29 June, 2023
Accepted Date: 04 July, 2023
Published Date: 07 July, 2023
Citation: De Masi M, Guivier-Curien C, Boucekine M, Barral PA, et al. (2023) Thoracic Aorta Remodeling after TEVAR: Monitoring Morphological Parameters to Predict Unfavorable Evolution. J Surg 8: 1840 https://doi.org/10.29011/2575-9760.001840
Abstract
Background: The aim of this study was to assess geometrical modifications of the aneurysmal Thoracic Aorta (TA) after Thoracic Endovascular Repair (TEVAR) over 3 years of follow-up, to identify features predicting unfavorable evolution.
Methods: Twenty-five patients treated by TEVAR for an atheromatous thoracic aortic aneurysm were retrospectively included in a single center study. All patients had clinical and radiological follow up for 3 years post TEVAR allowing defining patient with a Favorable Aortic Evolution (FAG) or an Unfavorable (UBG) evolution. Four Computed Tomography Angiographies (CTA) were analyzed: preoperative CTA (T0) and 3 postoperative: 6-12 months (T6), 24 months (T24) and 36 months (T36), allowing extraction of lengths, angles, tortuosity indexes, and diameters for each segment of the thoracic aorta. Descriptive and bayesian statistical methods were used to express results and assess the link between geometrical parameters and the risk of poor outcome at each post-operative follow-up time.
Results: At T0, none of these geometrical parameters is associated with a risk of unfavourable evolution. On the other hand, TA length, angle, and tortuosity index between T0 and T6 showed a significant increase in UBG (respectively 22.3±5.1 mm, 23.8±7.2° and 0.1±0.01 compared to a stability in FAG 0.01±0.05mm, -1±0.9°, 0.01±0.02 respectively; p<0.05). Similar results are found for later time point.
Conclusions: Quantifying the post-TEVAR temporal evolution of TA geometrical parameters as early as 6 months discriminates favourable from unfavourable aortic evolution.
Keywords: Aneurysm; Bayesian approaches; Follow-up period; Morphological parameters; Thoracic aorta remodeling
Abbreviations:BCT: Brachiocephalic Trunck; BSA: Body Surface Area; CAOD: Coronary Artery Occlusive Disease; CL: Centerline; COPD: Chronic Occlusive Pulmonary Disease; CTA: Computed Tomography Angiography; EP: Endoprosthesis; FAG: Favourable A Group; LCCA: Left Common Carotid Artery; LSCA: Left Subclavian Artery; MCMs: Multidisciplinary Consultation Meetings; T0: Preoperative Time; T6: Post-Operatives Scanner at 6 or 12 Months; T24: Post-Operatives Scanner at 24 Months; T36: Post-Operatives Scanner at 36 Months; TA: Thoracic Aorta; TAA: Thoracic Aortic Aneurysm; TEVAR: Thoracic Endovasclar Aortic Repair; UBG: Unfavorable B Group
Introduction
Thoracic Endovascular Aortic Repair (TEVAR) has been shown to be a safe and effective treatment for different aortic pathologies, outstripping open surgery as the primary approach [1]. The post TEVAR aortic remodeling is due to the natural aging process, disease progression, and endoprosthesis radial forces and it has been confirmed as critical in determining treatment durability [2]. Other investigators have extensively described the importance of the aortic anatomy (angulation, diameter, tortuosity) and their relationship with endoleaks in different aortic pathologies, but these studies mainly considered a short follow-up period [3-5]. Several reports describing heterogeneous pathologic processes indicate that endoleaks are associated with anatomic factors, such as the diameter of the residual aneurysm, the radius of the aortic curve, and the tortuosity of the aorta [2,6,7]. But maximal diameter, maximal diameter evolutions over time as well as endoleak apparition remain the main parameters to unfavorable aortic remodeling after TEVAR. The insertion of the endoprosthesis in an aneurysm sac may promote adverse aortic remodeling because the stent graft is less compliant than the normal aortic tissue [8,9]. Not all patients will experience the same evolution of thoracic aorta remodeling and risk of endoprosthesis failure after TEVAR. Assessing remodeling progression should enable clinicians to better predict which patients are at higher risk of aortic complications, allowing them to provide a better and earlier patient-specific treatment [10].
The aim of this study was, 1) to describe a framework of medical image analysis to quantify geometrical thoracic aorta changes during the first three years after TEVAR 2) To assess the value of several geometrical parameters to predict unfavorable aortic remodeling earlier than reference parameters (i.e., diameter and diameter progression).
Materials and Methods
The study was conducted in accordance with the Declaration of Helsinki and RGPD Law. This restrospective study follows the MR004 rules and local agreement was obtained # PADS23-17 on 6 October 2021.
Study Design and Patients Sample
A retrospective analysis was conducted of twenty-five patients who were treated with thoracic stent-graft at a single center for thoracic aortic aneurysm, with the following inclusion criterions: availability of a preoperative computed tomography angiography (CTA) (T0) and 3 postoperative CTA performed 6 to 12 months (T6), 24 months (T24) and 36 months (T36) after surgery and availability of all clinical information for a follow up covering at least 36 months after surgery. Only patient with atherosclerotic aneurysm were included. Patients with a missing CTA (T0, T6, T24 or T36) or lost of view for medical follow-up or aneurysm of a non-atherosclerotic origin were excluded. Favorable A group (FAG) was define by the association of 2 parameters: patient without significant aortic diameter increase (maximal aortic diameter increase <10mm / 3 years) and patients who did not require an aortic reintervention during follow-up. On the other hand, patient who required aortic reinterventions as additional treatment related to the thoracic aorta or any direct complication of the initial TEVAR procedure were included in an unfavorable B group (UBG). All the TEVAR procedures were performed using the following stents-graft: GORE Conformable TAG (W. L. Gore & Associates, Flagstaff, Arizona), Cook (Cook Medical, Bloomington, IN, USA) and Medtronic (ValiantTM or the Valiant CAPTIVIA generation). The diameter of stent-graft was oversized by 15% to 20% according to pre intervention CTA measurements. The mean of the three diameter measurements for each proximal and distal landing zone was subtracted from the nominal device diameter and then divided by the mean diameter of the landing zone to calculate the endoprosthesis oversizing. The proximal and distal anchoring zone was recorded according to Ishimaru’s classification modified by Criado [6,7]. Proximal and distal sealing zones of at least 20 mm along the aorticcentre line was selected in normal thoracic aorta, definedby an aortic wall with no evidence of thrombus, calcification or excessive angulation with a diameter lower than 40mm. The overlap between 2 stent graft was ≥ 3 cm if second device was one or two sizes larger than the first device. The overlap was ≥ 5 cm if second device was the same size. Prophylactic lumbar drainage and revascularization of the supraaortic trunk vessels was discussed during Multidisciplinary Consultation Meetings (MCMs) before surgery and according to international guidelines and multidisciplinary expertise.
Image Acquisition and 3D Geometric Analysis
CTA (see Supplemental Appendix 1 for details) was performed on a multi-detector 64-row scanner (REVO EVO, General Electric Healthcare, Buc, France) after contrast media injection with standard parameters. All CTAs (T0, T6, T24, T36) were transferred on a workstation equiped with a vascular imaging software (Endosize; Therenva, Rennes, France). The first step of image analysis was the manual extraction of a three dimensional (3D) arterial Lumen Centerline (CL) starting by a manual designation of the proximal and distal ends of the thoracic aorta from sinotubular junction to celiac trunk allowing the automatic creation of a 3D aortic CL (Figure 1A). Spatial coordinates (x,y,z) of CL points were exported every mm. The aorta was divided into five anatomic zones, from zone 0 to zone 4 according to Ishimaru’s classification modified by Criado [6,7,11]. Points of the CL that crosses limits between two successive zones were defined as follows: P0 for the first point at the sinotubular junction, P1 between Z0 and Z1, P2 between Z1 and Z2, P3 between Z2 and Z3, P4 between Z3 and Z4, and P5 at the end of Z4 (Figure 1B).
Figure 1. Image A illustrates the centerline created from the sinotubular junction to the coeliac trunk. Image B shows the points (P0 to P5) used to define the cross-sections of the aortic lumen and length of the successive zones (Z0 to Z4). Image C shows an example of measurements of angles (α3). Image D shows an example of tortuosity measurement (TI) from Z0 to Z2.
Definition of the Geometrical Parameters
Centerline was used to define aortic length, angle, and tortuosity in the 5 predefined zones (Figure 1B).
Lengths: L0, L1, L2, L3 and L4 were defined respectively as the length of Z0, Z1, Z2, Z3, and Z4 along the CL. The length Li_j corresponded to the length from the beginning of zone Zi to the end of zone Zj. The sum of all lengths (L0+L1+L2+L3+L4) defined the length of the thoracic aorta (L_ATot). The lengths of proximal and distal neck (Lpn and Ldn respectively), as well as the length of the entire endoprothesis (L_EP), were measured (Figure 1C).
Aortic Angulation: α0, α1, α2, α3, and α4 were the angles between planes perpendicular to the CL at the points marking the start (Pi) and end (Pi+1) of each zone. The angle αi_j corresponded to the angle from the beginning of zone Zi to the end of zone Zj. Angles between start and end of the proximal and distal neck of the aneurysm (αpn, and αdn respectively), the angulation of the entire endoprothesis (α_EP), and overall aortic angulation of the whole thoracic aorta (α_ATot) were also assessed. (Figure 1C)
Tortuosity Index: TIi reflected the tortuosity of a Zi zone, defined by dividing the length of the zone Li by the spatial straight
distance di ( ) between the start point (Pi) and the end point (Pi+1) of Zi. The overall tortuosity of the aortic arch (TI0_2) (Figure 1D) and of the descending aorta (TI3_4) were considered for statistical analysis. The tortuosity index of the entire endoprosthesis (TI_EP) was also assessed. Finally, overall tortuosity of the aorta (TI_ATot) was evaluated by dividing L_ ATot by spatial straight distance between proximal and distal ends of the whole CL ().
Diameters: Maximal aortic diameter was assessed perpendicular to the CL and including aortic thrombus and aortic wall. There were automatically computed by the post-processing tool and corrected, if necessary, by the reader. D0, D1, D2, D3 and D4, were the maximal aortic diameters at P0, P1, P2, P3, P4, respectively. Diameters of proximal and distal necks of the aneurysm (Dpn and Dpn respectively), and maximal aneurysm diameter, Daneurysm, were also measured.
Statistical Analysis
Values are expressed in mean and range. Bayesian Gaussian logistic regression and linear parametric approaches were therefore chosen for their ability to treat small populations (see Supplemental Appendix 2 for implementation details and references). The first model (Bayesian logistic regression) is performed to evaluate the associations between unfavorable outcomes and geometrical explanatory variables at preoperative (T0) and postoperative stages (T6, T24, and T36). When an odd ratio (OR) is higher than 1, the risk of poor outcome increases whereas an OR < 1 is predictive of good outcome. The results are significative if the 95% confidence interval (CI95%) does not include 1 value.
The second model (Bayesian linear) is performed to compare the evolution of each morphological and geometrical parameter between pre and each postoperative time in FAG and UBG. Mean temporal evolution for each group is estimated and the difference between UBG mean temporal evolution value and FAG mean temporal evolution value is reported (β1 values). The 95% confidence interval (CI95%) is calculated for the value of group variable. If the confidence interval does not include the null value, we conclude that there is a statistically significant difference in the temporal evolution between the groups.
To compare the means between group and temporal evolution of the means between UBG and FAG groups, a two-way analysis of variance (ANOVA) was used with a significance level of 0.05. Anova was performed using Prism (GraphPad, Boston, USA).
Results
Patient Cohort
Twenty-five subjects met the inclusion criteria for this retrospective study. Demographic data of the patients are presented in Table 1. There was no major perioperative morbidity, and no postoperative mortality. The location of the distal landing zone was on Z4 for all patients. A debranching procedure was performed in 13 cases (52%), with 100% transpositions of the left subclavian artery, 46% debranching of the left carotid artery, and 62% transpositions of the brachiocephalic trunk.
Table 1: Clinical and procedure characteristics of the entire population (n =25).
|
BSA = body surface area;
CAOD = coronary artery occlusive disease; COPD = chronic occlusive pulmonary
disease; TEVAR= thoracic endovascular aortic repair. *Continuous data are
described as medians (interquartile range [IQR]) and categoric data as
numbers (%)
|
Seventeen patients were included in FAG. Eight patients required an aortic reintervention during follow-up due to endoleaks (Ia n=1; Ib n=2; Ia +Ib n=1; III n=2; Ib +III n=2) and were included in UBG. All surgical intervention were endovascular with the addition of at least one stent graft. The secondary procedures were performed for one patient after 12 months, for one patient after 24 months and for 6 patients after 36 months following elective TEVAR.
Geometrical Parameters
All available CTA have been analysed and examples of centrelines evolution over time are provided in Figure 2. The mean time to obtained a manual segmentation of the aorta and to compute these informations for one patient over several time points were 8.3±2hours.
Figure 2. Example of centerline evolution on two different patients: one from the FAG (left graph) and one from the UBG (right graph).
a. Geometrical Parameter at Each Time Points (Table 2)
L3_4 in UBG showed a higher value compared to FAG at 6 month (323.3±22.7 mm vs 296.7±11.9; p<0.05) as well as for later time points and was predictive of poor outcome, regardless of the post-operative time (OR=1.19, CI95%=[1.04;1.50]; 57.76 CI95%=[2.38;>1000]; 1.28 CI95%=[1.05;1.89], for T6, T24 and T36 respectively). Remarquably, L4 alone follow the same pattern and increasement of its value was predictive of poor outcome regardless of post-operative time. L3_4 and L4 showed the ability to predict unfavorable evolution earlier than Daneurysm. Daneurysm was significantly higher in UBG compared with FAG at T24 (69.2±11.0mm vs 59.3±9.6mm; P<0.05) and was linked to a risk of poor outcome at T24 (OR=1.14 (CI95%=[1.01;1.30]) and T36 (OR=1.15, CI95%=[1.03;1.33]). L_Atot was predictive of poor outcome since T24 (OR=1.05 CI95%=[1.01;1.10]) and at T36 (OR=1.03 (CI95%=[1.00;1.07]). was higher in UBG and predictive of poor outcome at T24 and T36. The vast majority of the other parameter did not showed and significance or significance at only one time point which is difficult to interpret and probably need more data.
Table 2: Assessment of risk of a patient switching to unfavorable group at T0 and at each post-operative follow-up.
a. Temporal evolution of geometrical parameters
Angle α3_4 increases by a mean value of 23° and length L3_4 increases by a mean value of 22mm in UBG, whereas in FAG, the evolution is negligible (-1° and 0.01mm respectively). This analysis showed that the temporal evolution of several parameters were able to predict unfavourable evolution earlier that diameters and consistently over follow-up. The decrease of α2 over time and on the opposite side the increase of α3_4 are predictive of bad evolution and showed that the unfavorable aortic remodelling is highly dependent of the anatomy of the thoracic aorta. Interestingly evolution of the aorta length over time showed consistent result with a decrease of L2 and the increase of L3_L4 were predictive of poor outcome. The tortuosity of the distal part of the aorta showed as well interesting and early information to predict unfavourable evolution. (Table 3 and Figure 3).
Table 3: Temporal evolution of parameters between T0 and each post-operative follow-up and statistical analysis.