首页|计算机辅助近红外二区荧光血管造影在透析血液通路手术中的应用

计算机辅助近红外二区荧光血管造影在透析血液通路手术中的应用

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浅静脉清晰成像对于透析患者动静脉内瘘术前手术路径规划和术中引导手术治疗等具有重要作用,对临床疾病的诊断和治疗具有重要作用。目前临床上常用的血管成像方法能够清晰地实现血管的成像,但对静脉血管网的成像效果难以满足临床需求。笔者利用临床获批的荧光染料吲哚菁绿(ICG)开展了前臂血管的近红外二区(NIR-Ⅱ)荧光成像,结合人工智能算法获得分辨率更高的血管NIR-Ⅱb荧光图像,更准确地描绘浅表细小血管的直径。在此基础上,笔者继续结合Fluent流体仿真模拟方法,辅助医生在术前判断主干引流静脉,并在术中结扎中选择主干引流静脉进行保留,对大侧枝引流静脉进行结扎,提高患者肾透析血液通路手术的成功率。利用荧光血管造影技术结合模拟方法引导肾透析血液通路手术将桡动脉接入头静脉,手术的早期通畅率为100%(8/8),而接受常规手术的对照组的早期通畅率为73。33%(11/15)。本研究验证了 NIR-Ⅱ荧光血管造影技术的安全性和有效性,并在此基础上进一步验证了荧光成像结合人工智能算法在肾透析血液通路手术中潜在的应用价值。
Clinical Application of Computer-Assisted Second Near-Infrared Window Fluorescence Angiography in Surgical Creation of Hemodialysis Access
Objective Vascular imaging is crucial for medical diagnosis,and it facilitates disease diagnosis,disease progression monitoring,surgical planning and navigation,and patient prognosis evaluation.However,conventional imaging methods encounter challenges in rapid and noninvasively imaging of superficial blood vessels because of the similarities in texture and color with surrounding tissues.In clinical surgery,preoperative superficial vascular imaging and intraoperative vascular display are beneficial for reducing bleeding,facilitating surgical navigation and path planning,and promoting postoperative blood supply recovery.Methods A fluorescent imaging system in the second near-infrared window(NIR-Ⅱ)to capture images of the forearm vascular network in patients was used in this study.The research involved 12 patients,with indocyanine green serving as a contrast agent for obtaining NIR-Ⅱ images of the forearm blood vessels.These images were used to observe the anatomical structure of the venous vascular network.Furthermore,computer-aided analysis was employed to improve image quality,support surgical path planning and prognosis prediction,and provide valuable guidance for clinical practitioners.Results and Discussions High-resolution and high-contrast images are captured using NIR-Ⅱ fluorescence angiography.The clarity of these images are enhanced using artificial intelligence techniques.Computer simulation was employed to simulate venous network reflux.The agreement between the measurement results obtained from this technique and ultrasound was evaluated using the Bland Altman plot and consistency measurements.Conclusions The acquired images are used to examine the anatomical structure of the venous vascular network and combined with blood flow simulation.This integration aims to assist clinicians in determining optimal surgical trajectories and predicting outcomes.The application of NIR-Ⅱ fluorescence imaging and computational simulation techniques has potential in providing valuable support for surgeons in performing various vascular procedures in the future.

medical opticsNIR-Ⅱ fluorescencefluorescence angiographyindocyanine greenartificial intelligencecomputational simulation

李凌冰、符礼丹、史小静、王远大、王志军、胡振华

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解放军总医院第二医学中心,北京 100853

中国科学院自动化研究所中国科学院分子影像重点实验室,北京 100190

中国科学院大学人工智能学院,北京 100049

解放军总医院第一医学中心,北京 100853

中国人民解放军总医院肾脏疾病全国重点实验室,北京 100853

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医用光学 近红外二区荧光 荧光血管造影 吲哚菁绿 人工智能 计算机仿真模拟

国家自然科学基金国家自然科学基金中国科学院创新交叉团队项目

9205920782272096JCTD-2021-08

2024

中国激光
中国光学学会 中科院上海光机所

中国激光

CSTPCD北大核心
影响因子:2.204
ISSN:0258-7025
年,卷(期):2024.51(9)
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