Suppr超能文献

用于预测肢体长期缺血后运动功能恢复的非侵入性多模态成像

Noninvasive Multimodal Imaging to Predict Recovery of Locomotion after Extended Limb Ischemia.

作者信息

Radowsky Jason S, Caruso Joseph D, Luthra Rajiv, Bradley Matthew J, Elster Eric A, Forsberg Jonathan A, Crane Nicole J

机构信息

Department of Surgery, Uniformed Services University of Health Sciences, Bethesda, MD, United States of America.

General Surgery, Walter Reed National Military Medical Center, Bethesda, MD, United States of America.

出版信息

PLoS One. 2015 Sep 14;10(9):e0137430. doi: 10.1371/journal.pone.0137430. eCollection 2015.

Abstract

Acute limb ischemia is a common cause of morbidity and mortality following trauma both in civilian centers and in combat related injuries. Rapid determination of tissue viability and surgical restoration of blood flow are desirable, but not always possible. We sought to characterize the response to increasing periods of hind limb ischemia in a porcine model such that we could define a period of critical ischemia (the point after which irreversible neuromuscular injury occurs), evaluate non-invasive methods for characterizing that ischemia, and establish a model by which we could predict whether or not the animal's locomotion would return to baselines levels post-operatively. Ischemia was induced by either application of a pneumatic tourniquet or vessel occlusion (performed by clamping the proximal iliac artery and vein at the level of the inguinal ligament). The limb was monitored for the duration of the procedure with both 3-charge coupled device (3CCD) and infrared (IR) imaging for tissue oxygenation and perfusion, respectively. The experimental arms of this model are effective at inducing histologically evident muscle injury with some evidence of expected secondary organ damage, particularly in animals with longer ischemia times. Noninvasive imaging data shows excellent correlation with post-operative functional outcomes, validating its use as a non-invasive means of viability assessment, and directly monitors post-occlusive reactive hyperemia. A classification model, based on partial-least squares discriminant analysis (PLSDA) of imaging variables only, successfully classified animals as "returned to normal locomotion" or "did not return to normal locomotion" with 87.5% sensitivity and 66.7% specificity after cross-validation. PLSDA models generated from non-imaging data were not as accurate (AUC of 0.53) compared the PLSDA model generated from only imaging data (AUC of 0.76). With some modification, this limb ischemia model could also serve as a means on which to test therapies designed to prolong the time before critical ischemia.

摘要

急性肢体缺血是 civilian 中心和与战斗相关损伤后创伤导致发病和死亡的常见原因。快速确定组织活力并通过手术恢复血流是理想的,但并非总是可行。我们试图在猪模型中描述对后肢缺血时间延长的反应,以便我们可以定义临界缺血期(即发生不可逆神经肌肉损伤之后的时间点),评估表征该缺血的非侵入性方法,并建立一个模型,通过该模型我们可以预测动物术后运动是否会恢复到基线水平。缺血通过应用气动止血带或血管闭塞诱导(通过在腹股沟韧带水平夹住髂总动脉和静脉来进行)。在手术过程中,分别使用 3 电荷耦合器件(3CCD)和红外(IR)成像监测肢体的组织氧合和灌注情况。该模型的实验臂能够有效诱导组织学上明显的肌肉损伤,并伴有一些预期的继发性器官损伤迹象,特别是在缺血时间较长的动物中。非侵入性成像数据与术后功能结果显示出极好的相关性,验证了其作为活力评估的非侵入性手段的用途,并直接监测闭塞后反应性充血。仅基于成像变量的偏最小二乘判别分析(PLSDA)的分类模型,在交叉验证后,以 87.5%的敏感性和 66.7%的特异性成功将动物分为“恢复正常运动”或“未恢复正常运动”。与仅从成像数据生成的 PLSDA 模型(AUC 为 0.76)相比,从非成像数据生成的 PLSDA 模型不太准确(AUC 为 0.53)。经过一些修改,这种肢体缺血模型还可以作为一种手段,用于测试旨在延长临界缺血前时间的疗法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/089b/4569513/a58942c0c1b0/pone.0137430.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验