Radiomics Features Predicting Outcomes of PAD

Peripheral Artery Disease (PAD)

There is a high risk of restenosis and vascular occlusion after interventional treatment for peripheral arterial disease (PAD), and some severe patients inevitably end up with amputation. Perivascular adipose tissue (PVAT) has been recognized not only as an inert tissue providing mechanical support, but also as a highly active endocrine and paracrine organ, which could provide a new imaging perspective into the pathophysiological mechanism of lower limb atherosclerosis microenvironment. The aim of this study is to identify novel and reliable non-invasive imaging biomarkers by exploring the potential association between lower limb PVAT imaging omics features and clinical outcomes (including death, major amputation, target vessel revascularization, etc.) in patients with PAD after interventional treatment. The study aims to offer clinicians with more accurate personalized risk stratification tools before surgery, thereby optimizing clinical decision-making and helping to achieve precision medicine for PAD.

After interventional treatment for peripheral arterial disease (PAD), there is a high risk of restenosis and vascular occlusion, and some severe patients inevitably end up with amputation. Currently, in clinical practice, preoperative CTA is often relied upon to assess the degree of luminal stenosis and wall calcification burden in order to develop surgical strategies and predict prognosis. However, these traditional macroscopic indicators often cannot fully reflect the microscopic inflammatory state of the vascular wall and plaque instability, resulting in limited predictive power for postoperative clinical outcomes. In recent years, perivascular adipose tissue (PVAT) has been recognized not only as an inert tissue providing mechanical support, but also as a highly active endocrine and paracrine organ. In the early stage of atherosclerosis, the inflammatory signal of vascular wall can be transmitted from the inside out to PVAT, causing changes in its phenotype and local lipid metabolism. At present, breakthrough progress has been made in imaging research on PVAT both domestically and internationally, but the vast majority of studies focus on coronary arteries, carotid arteries, and aorta. For example, based on the conventional coronary CTA extraction of the Pericoronal Fat Attenuation Index (FAI) and radiomics features, it has been proven by multiple high-quality studies to effectively identify vulnerable plaques and independently predict adverse cardiovascular events. However, imaging research on peripheral arterial PVAT in the lower limbs is still in a blank state both domestically and internationally. There are significant differences in hemodynamics, anatomical structure, and risk factors between lower limb arteries and coronary and carotid arteries. It is urgent to explore whether the imaging phenotype changes of lower limb PVAT can also serve as a detector for evaluating local vascular lesions. This project is the first to shift the focus to the peripheral arteries of the lower limbs. By introducing high-throughput radiomics techniques, non-invasive and quantitative extraction of three-dimensional spatial texture and grayscale heterogeneity features of lower limb PVAT that cannot be recognized by the naked eye is performed from routine preoperative lower limb vascular enhancement images (CTA or MRA) of patients. This not only expands the disease research spectrum of PVAT, but also provides a new imaging perspective for in-depth understanding of the pathophysiological mechanism of lower limb atherosclerosis microenvironment. This study is based on real clinical application scenarios and does not require patients to bear additional radiation risks or examination costs. The aim of this project is to identify novel and reliable non-invasive imaging biomarkers by exploring the potential association between lower limb PVAT imaging omics features and clinical outcomes (including death, major amputation, target vessel revascularization, etc.) in patients with PAD after intracavitary treatment. This is expected to break the limitations of traditional lumen stenosis and calcification assessment, providing clinicians with more accurate personalized risk stratification tools before surgery, thereby optimizing clinical decision-making and helping to achieve precision medicine for PAD.

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