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Deep-learning Predictors of Abdominal Aortic Aneurysm Enlargement in Type II Endoleaks After Endovascular Aortic Repair: The RADAR Study (RADAR)

2026年9月8日 更新者:Prouse Giorgio、Ente Ospedaliero Cantonale, Bellinzona

Deep-learning Prediction of Abdominal Aortic Aneurysm Enlargement in Type II Endoleak After EVAR: Development and Multicenter Validation of an End-to-end Deep-learning Model (the RADAR Study)

Background and rationale:

Abdominal aortic aneurysm (AAA) is a weakening and enlargement of the main artery in the abdomen. Endovascular aneurysm repair (EVAR) is a minimally invasive treatment used to repair an AAA. After EVAR, some patients develop a complication, called a type II endoleak (T2EL), in which blood continues to flow into the aneurysm sac through small blood vessels. Many T2ELs disappear on their own, but in some patients they can cause the aneurysm sac to enlarge and may require another procedure. The RADAR study aims to develop a deep-learning computer model that can use the CT scan performed before EVAR to predict which patients are more likely to develop a T2EL associated with aneurysm enlargement. The model will be developed using information from several hospitals and tested on patients from hospitals that were not involved in its development.

Duration: July 2026 - December 2028

The study will include patients who have undergone EVAR between 1 January 2015 and 31 December 2025. Their available follow-up information will be collected until 31 December 2026 or until an earlier event such as the last available CT scan, a procedure related to T2EL, another defined medical event, or death. The baseline postoperative CTA, acquired 1-3 months after EVAR, will serve as the reference examination for assessment of aneurysm-sac growth during follow-up. Patients who have not developed the study outcome generally need at least 24 months of imaging follow-up to be classified reliably.

Objectives:

The primary objective is to develop and test a deep-learning model that can predict, before EVAR, whether a patient will develop a T2EL and whether it will be associated with significant enlargement of the aneurysm sac. The model will be tested using data from hospitals that were not involved in its development. Secondary objectives are to assess whether the model works consistently across different hospitals and CT scanning methods; compare the new model with the original NornirNet model; determine whether adding clinical and anatomical information improves the predictions; assess differences in performance between hospitals; and evaluate how well the model's predicted risks correspond to the outcomes actually observed.

Study population:

The study is a multicenter observational study involving patients over the age of 18 who underwent elective EVAR for an intact fusiform abdominal aortic aneurysm at participating hospitals in Switzerland, Europe, and the United States between 2015 and 2025. Patients must have suitable CT scans before and after EVAR and sufficient medical and imaging information to determine whether a T2EL occurred and how the aneurysm changed over time. Patients treated for a ruptured aneurysm, patients with certain other types of aneurysms, patients who had previous aortic procedures, and patients whose CT scans are not suitable for analysis will be excluded. The planned study population is approximately 1,250 patients, depending on the number of eligible patients available at the participating hospitals.

Study procedures:

This is a retrospective study, meaning that it uses information and CT scans that were already collected as part of routine medical care. No additional examinations or procedures are performed for the study, and no biological samples are collected. Participating hospitals will provide coded clinical information and anonymized CT scans. The information collected may include age, sex, other medical conditions, body weight and height, laboratory results, heart-related information, details about the aneurysm and blood vessels, and information about the EVAR procedure. Follow-up CT scans will be reviewed by specialists to determine whether a T2EL occurred and whether the aneurysm sac became larger. Patients will be classified into three groups: those with no T2EL, those with a T2EL without significant aneurysm enlargement, and those with a T2EL associated with aneurysm enlargement of at least 5 mm or a related additional procedure. The deep-learning model will be developed using data from some participating hospitals and then tested on data from other hospitals that were not involved in developing the model. Its ability to make accurate and consistent predictions will then be evaluated.

研究概览

详细说明

RADAR is a retrospective multicenter observational study designed to develop and independently evaluate a three-dimensional deep-learning model for preoperative prediction of clinically relevant type II endoleak (T2EL) after endovascular aneurysm repair (EVAR).

The model will be developed using preoperative CTA data from designated development centers. Model fitting, hyperparameter tuning, and selection of operating thresholds will be performed exclusively within these centers using center-aware cross-validation. After completion of development, the model architecture, parameters, and operating thresholds will be frozen before evaluation on independent held-out test centers. Data from these centers will not be used for model development, tuning, or threshold selection.

The primary analysis will assess the ability of the frozen model to distinguish three predefined clinical outcome classes based on the occurrence of T2EL and subsequent aneurysm-sac behavior. This center-level separation between development and testing is intended to provide an estimate of model performance and generalizability across institutions and heterogeneous imaging protocols.

Secondary analyses will assess inter-center variability in performance, model calibration, and the incremental predictive value of clinical and anatomical variables. The newly developed model will also be compared with the original NornirNet model on a separate common dataset reserved specifically for this comparison.

研究类型

观察性的

注册 (估计的)

1250

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习联系方式

研究联系人备份

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 成人
  • 年长者

接受健康志愿者

不

取样方法

非概率样本

研究人群

The study includes a retrospective multicenter cohort of approximately 1,250 adult patients (≥18 years) who underwent elective standard EVAR for an intact fusiform infrarenal abdominal aortic aneurysm between 01.01.2015 and 31.12.2025. Patients must have available preoperative and postoperative CT angiography (CTA) scans of sufficient quality and adequate follow-up data. Patients will be excluded if they underwent emergency repair for ruptured aneurysm, had non-fusiform aneurysms, previous aortic interventions, complex EVAR procedures, non-diagnostic imaging, or refused the use of their health data for research where applicable. Patients will be classified according to follow-up findings into three outcome classes: Class 0, no type II endoleak; Class 1, type II endoleak without significant aneurysm sac growth; or Class 2, type II endoleak with significant sac growth or T2EL-related reintervention.

描述

Eligibility is defined by the inclusion and exclusion criteria below. Conditions that depend on the study outcome (occurrence of type II endoleak, competing endoleak types, and duration of imaging follow-up) are deliberately not treated as eligibility criteria; they are specified separately as analysis-set, outcome-classification and censoring rules, in order to avoid outcome-dependent selection bias. The minimum duration of imaging follow-up specified in the section "Outcome classification and follow-up requirement" is a requirement for valid assignment of the reference outcome class and applies only to the event-free classes, for which the absence of the outcome can be established only by a sufficient period of observation. It does not apply to patients in whom the outcome has already been documented.

Inclusion criteria

  • Age ≥ 18 years at the time of the index procedure.
  • Elective repair of an intact, fusiform, infrarenal abdominal aortic aneurysm (AAA), symptomatic or asymptomatic, with a maximum aneurysm diameter ≥50 mm in women and 55 mm in men, or repaired for symptoms or documented rapid growth (≥5 mm in 6 months or 10 mm in 12 months).
  • Treatment by standard EVAR, defined as implantation of a commercially available bifurcated infrarenal stent-graft with proximal sealing in the infrarenal neck, below the lowermost renal artery, and without any of the following:

    • fenestrated, branched or scallop-modified devices (F/BEVAR);
    • parallel-graft techniques;
    • adjunctive sac or side-branch embolization at or before the index procedure;
    • endostapling endoanchor devices at the index procedure;
    • endovascular aneurysm sealing systems (e.g. EVAS);
    • proximal or distal extension cuffs placed during or after the index procedure;
    • aorto-uni-iliac configurations and iliac branch devices;
  • Index procedure performed between 1 January 2015 and 31 December 2025 at one of the participating centers, with follow-up data censored at the administrative cut-off date of 31 December 2026.
  • Preoperative arterial-phase CTA available in digital (DICOM) format, acquired ≤ 6 months before the index procedure.
  • Baseline postoperative CTA acquired between 1 and 3 months after the index procedure.
  • All qualifying CTA examinations (preoperative, baseline and follow-up) acquired with a reconstructed slice thickness ≤ 2.5 mm, with anatomical coverage extending at minimum from the celiac trunk to the external iliac arteries, and including an arterial phase and a delayed (venous) phase.
  • Clinical and imaging documentation sufficient to determine the occurrence and clinical course of type II endoleak (primary outcome), including at least one CTA subsequent to the baseline postoperative CTA. Incompleteness of other clinical variables does not preclude inclusion; such variables are recorded as missing and handled according to the prespecified analytical procedures.

Exclusion criteria

  • Repair for a ruptured AAA, or emergent repair for contained rupture.
  • Aneurysm morphology other than fusiform infrarenal AAA, including saccular aneurysm, penetrating aortic ulcer, pseudoaneurysm, infected aneurysm, aortic dissection
  • Any previous open or endovascular aortic intervention, thoracic or abdominal, including previous hypogastric or inferior mesenteric artery embolization.
  • Non-diagnostic imaging, defined as a CTA with incomplete anatomical coverage, or with beam-hardening, motion or other artifact of sufficient severity to preclude assessment of the aneurysm sac, the stent-graft sealing zones, the patency of sac-feeding branches, or the presence of endoleak, as judged by the reviewing investigator.
  • Documented refusal of consent or documented objection to the research use of health-related data, where applicable. Where the competent ethics committee has granted a waiver of consent (including for deceased or untraceable patients, in Switzerland under Article 34 HRA), such patients are included in accordance with that authorization.

Handling of competing endoleak types (analysis-set and censoring rule) The occurrence of a type I, III, IV or V endoleak is not an eligibility criterion but a censoring or competing event, adjudicated as follows.

  • Patients in whom a type I, III, IV or V endoleak is identified on the baseline (1-3 month) CTA are excluded from the primary analysis.
  • Patients who develop a type I, III, IV or V endoleak during follow-up are censored at the date of that diagnosis, with the exception of a type Ia or Ib endoleak judged to be secondary to sac enlargement of ≥ 5 mm attributable to a pre-existing and documented type II endoleak.
  • This attribution is made by 2 independent specialists (1 vascular surgeon and 1 radiologist) at the treating institution with disagreements resolved by the central core imaging laboratory at EOC.

Outcome classification and follow-up requirement (analysis-set rule)

The primary outcome is a three-class variable adjudicated over the entire available imaging follow-up. Each patient is assigned to exactly one of the following classes:

  • Class 0 - no type II endoleak: no type II endoleak identified on the baseline (1-3 month) CTA or on any subsequent CTA.
  • Class 1 - type II endoleak without significant sac growth (benign): a type II endoleak documented on the baseline CTA and/or on any follow-up CTA, with a maximum increase in aneurysm diameter of < 5 mm relative to the baseline postoperative CTA throughout the observation period, and without T2EL-related reintervention. A type II endoleak present on the baseline CTA that subsequently resolves spontaneously, without sac growth ≥ 5 mm and without reintervention, is classified in this class and not in Class 0.
  • Class 2 - type II endoleak with significant sac growth (malignant): a type II endoleak associated with an increase in maximum aneurysm diameter ≥ 5 mm relative to the baseline postoperative CTA, or with a T2EL-related reintervention.

Because Class 2 requires two sequential events (appearance of the endoleak and subsequent sac growth), whereas Classes 0 and 1 are defined by the sustained absence of an event, the minimum duration of imaging follow-up required for a valid class assignment differs by class. This is a label-ascertainment (outcome-adjudication) requirement, applied to ensure the validity of the reference standard against which the model is evaluated. It is not an eligibility criterion. The minimum follow-up requirement applies only to event-free patients (Classes 0 and 1), whereas patients in whom a Class 2 event has already been documented are assigned to Class 2 irrespective of the total duration of follow-up. It is not applied in an outcome-dependent manner that would preferentially remove patients at higher risk of the outcome. Class 2 (malignant): no minimum duration of follow-up is required. Once sac growth ≥ 5 mm attributable to a type II endoleak, or a T2EL-related reintervention, has been documented, the class assignment is definitive irrespective of the total duration of follow-up. Excluding such patients on the basis of short follow-up would remove confirmed events and would introduce outcome-dependent selection.

  • Class 1 (benign): a minimum of 24 months of imaging follow-up from the baseline postoperative CTA is required, with the last available CTA showing an increase in maximum aneurysm diameter of < 5 mm relative to baseline. Where the endoleak is first detected after the baseline CTA, at least 24 months of imaging follow-up from the date of first detection of the endoleak is additionally required.
  • Class 0 (no endoleak): a minimum of 24 months of imaging follow-up from the baseline postoperative CTA is required, with no type II endoleak identified on any examination and an increase in maximum aneurysm diameter of < 5 mm relative to baseline.
  • Indeterminate: patients who are event-free but who do not meet the minimum follow-up requirement for Class 0 or Class 1 are classified as indeterminate. Indeterminate patients are not assigned a reference class and are excluded from the primary validation analysis. They are retained in the study database, reported in the participant flow diagram, and described in the analysis of the source population.

All eligible patients enter the cohort at the baseline (1-3 month) postoperative CTA and are followed until the earliest of: the last available CTA, a T2EL-related secondary intervention, a censoring event as defined in the preceding section, death, or administrative censoring at 31 December 2026. Administrative censoring at 31 December 2026 is a common closing date applied to the entire cohort and not a deadline by which follow-up must already have ended: a patient still under observation on that date contributes person-time up to that date, whereas a patient whose follow-up ends earlier for any of the reasons listed above is censored at the earlier date. The number of patients censored for each reason will be reported.

  • The primary analysis includes all eligible patients with a definitive class assignment (Class 0, 1 or 2) as defined above.
  • Death, rupture or secondary intervention for a cause other than type II endoleak occurring before the minimum follow-up requirement is met are treated as competing events. Such patients are classified as indeterminate unless a Class 2 event has already been documented, in which case the Class 2 assignment stands.
  • The distribution of follow-up duration (median, interquartile range, and proportion below 24 months) will be reported overall and by class.
  • Among Class 2 patients, the cumulative distribution of the interval from the baseline CTA to first detection of the type II endoleak, and from first detection to documented sac growth ≥ 5 mm, will be reported. These distributions provide an empirical justification of the 24-month threshold and an estimate of the residual proportion of late events that the threshold may fail to capture.
  • Prespecified sensitivity analyses will be reported alongside the primary analysis: (i) the minimum follow-up requirement for Classes 0 and 1 varied to 12, 18 and 36 months, with the resulting class counts and model performance reported at each threshold; (ii) an analysis in which indeterminate patients are assigned to Class 0 or Class 1 according to their status at the last available CTA, to quantify the effect of their exclusion; and (iii) an analysis restricted to patients with ≥ 36 months of follow-up.
  • Sac diameter change (in mm, and as annualized change in mm/year) relative to the baseline postoperative CTA will additionally be recorded as a continuous secondary outcome. This permits a threshold-independent assessment of model output and limits the extent to which the dichotomy at 5 mm determines the reported results.

Reproducibility of the diameter measurement on which the 5 mm threshold depends will be quantified. A random sample of at least 10% of examinations will be measured independently by two readers, and the intraclass correlation coefficient together with the Bland-Altman limits of agreement for maximum aneurysm diameter will be reported. Cases in which the measured diameter change lies within the limits of agreement of the 5 mm threshold will be identified and examined in a sensitivity analysis.

Variables recorded rather than applied as eligibility criteria The following are documented as covariates and are not used to exclude patients, since retrospective adjudication would be unreliable and would preferentially remove patients with hostile anatomy, in whom type II endoleak behavior may differ.

  • Adherence to the device-specific instructions for use (IFU) in force at the time of implantation, assessed retrospectively per device and reported as adherent, non-adherent or indeterminate, together with the specific IFU parameter(s) not met.
  • Antiplatelet and anticoagulant therapy at baseline and during follow-up.
  • Patency, number and diameter of sac-feeding branches (inferior mesenteric artery, lumbar arteries, accessory renal arteries, median sacral artery) on the preoperative CTA.
  • Device manufacturer and model, iliac limb configuration.
  • Sac thrombus volume and morphology, infrarenal neck anatomy, and maximum aneurysm diameter at baseline.

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
干预/治疗
Retrospective multicenter EVAR cohort
This retrospective multicenter observational cohort includes adult patients who underwent elective standard EVAR for an intact fusiform infrarenal abdominal aortic aneurysm between 01.01.2015 and 31.12.2025 at participating centers. Eligible patients are identified according to predefined inclusion and exclusion criteria. Based on imaging follow-up, patients with sufficient information for outcome adjudication are assigned to one of three classes: Class 0, no type II endoleak (T2EL); Class 1, T2EL without significant aneurysm sac growth; or Class 2, T2EL associated with significant sac growth or T2EL-related reintervention. Eligible patients with insufficient follow-up for reliable outcome-class assignment are classified as indeterminate, retained in the study database, and excluded from the primary analysis.
This study involves the retrospective multicenter analysis of preoperative CT angiography (CTA) and clinical data from patients who underwent EVAR. A new and improved three-dimensional deep-learning model, building on the NornirNet framework, will be developed using data from designated development centers and subsequently evaluated, after model freezing, on independent held-out centers.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Performance of the deep-learning model in held-out test centers
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Performance of the frozen deep-learning model will be evaluated in independent held-out test centers for three-class prediction of T2EL outcome: Class 0 (no T2EL), Class 1 (T2EL without significant aneurysm sac growth), and Class 2 (T2EL with significant sac growth or T2EL-related reintervention). Discrimination and classification performance will be assessed using prespecified performance metrics, including AUC, sensitivity, and specificity.
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.

次要结果测量

结果测量
措施说明
大体时间
AUC comparison of the deep-learning models
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Comparison of the newly developed deep-learning model with the original NornirNet model on the reserved common comparison dataset using the area under the receiver operating characteristic curve (AUC).
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Sensitivity comparison of the deep-learning models
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Comparison of the newly developed deep-learning model with the original NornirNet model on the reserved common comparison dataset using sensitivity.
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Specificity comparison of the deep-learning models
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Comparison of the newly developed deep-learning model with the original NornirNet model on the reserved common comparison dataset using specificity.
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Inter-center variability in AUC
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Assessment of inter-center variability in model performance across held-out test centers using the area under the receiver operating characteristic curve (AUC).
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Inter-center variability in specificity
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Assessment of inter-center variability in model performance across held-out test centers using specificity.
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Change in AUC with clinical and anatomical variables
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Assessment of the incremental predictive value of clinical and anatomical variables using change in the area under the receiver operating characteristic curve (AUC).
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Net Benefit with clinical and anatomical variables
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Assessment of the incremental predictive value of clinical and anatomical variables using Decision Curve Analysis (Net Benefit).
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Brier score for model calibration
大体时间:From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.
Assessment of model calibration using the Brier score.
From the baseline postoperative CTA (1-3 months after EVAR) through the last available follow-up, T2EL-related reintervention, censoring event, death, or administrative censoring on 31 December 2026.

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 学习椅:Giorgio Prouse, MD、Ente Ospedaliero Cantonale, Bellinzona

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

一般刊物

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (估计的)

2026年10月1日

初级完成 (估计的)

2027年12月31日

研究完成 (估计的)

2028年12月31日

研究注册日期

首次提交

2026年8月20日

首先提交符合 QC 标准的

2026年8月20日

首次发布 (实际的)

2026年8月24日

研究记录更新

最后更新发布 (实际的)

2026年9月11日

上次提交的符合 QC 标准的更新

2026年9月8日

最后验证

2026年9月1日

更多信息

与本研究相关的术语

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

不

IPD 计划说明

The data generated and analyzed during this study will not be publicly available due to privacy and data protection regulations. Study data will be collected and pseudonymized according to applicable ethical and regulatory requirements and institutional data-sharing agreements.

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

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