Marchi Guido, Cinquini Sara, Tannura Francesco, Guglielmi Giacomo, Gelli Riccardo, Pantano Luca, Cenerini Giovanni, Wandael Valerie, Vivaldi Beatrice, Coltelli Natascia, Martinelli Giulia, Celi Alessandra, Fanni Salvatore Claudio, Serradori Massimiliano, Gherardi Marco, Gabbrielli Luciano, Pistelli Francesco, Carrozzi Laura
Pulmonology Unit, Cardiothoracic and Vascular Department, University Hospital of Pisa, 56124 Pisa, Italy.
Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, 56126 Pisa, Italy.
J Clin Med. 2025 Sep 7;14(17):6326. doi: 10.3390/jcm14176326.
Hemorrhagic complications during pleural interventions-such as thoracentesis and chest tube insertion-remain a significant clinical concern, primarily due to inadvertent injury of the intercostal artery (ICA). The highly variable ICA anatomy is frequently not visualized on conventional imaging, limiting the reliability of landmark-based techniques. Color Doppler thoracic ultrasound (CDUS) has emerged as a non-invasive, real-time modality capable of identifying ICAs and their anatomical variants prior to pleural access. This narrative review synthesizes current evidence on CDUS-guided ICA screening, focusing on its technical principles, diagnostic performance, and clinical applicability. While feasibility and utility are supported by multiple observational studies, robust evidence demonstrating a reduction in bleeding complications is still lacking. Barriers to widespread implementation include heterogeneous scanning protocols, operator dependency, and the absence of standardized training. We discuss the anatomical rationale for pre-procedural vascular mapping and highlight emerging protocols aimed at standardizing ICA visualization. Although not yet incorporated into major clinical guidelines, CDUS represents a promising tool to enhance procedural safety. Emerging AI applications may further improve vessel detection by reducing operator dependency and enhancing reproducibility. High-quality prospective studies are essential to validate potential clinical benefits, optimize implementation strategies, and support integration into routine pleural practice.
胸腔介入操作(如胸腔穿刺术和胸腔闭式引流管置入术)期间的出血并发症仍然是一个重大的临床问题,主要原因是肋间动脉(ICA)意外损伤。ICA的解剖结构高度变异,在传统影像学检查中常常无法显示,这限制了基于体表标志技术的可靠性。彩色多普勒胸部超声(CDUS)已成为一种非侵入性的实时检查方法,能够在进行胸腔穿刺前识别ICA及其解剖变异。这篇叙述性综述综合了当前关于CDUS引导下ICA筛查的证据,重点关注其技术原理、诊断性能和临床适用性。虽然多项观察性研究支持其可行性和实用性,但仍缺乏有力证据证明其能减少出血并发症。广泛应用的障碍包括扫描方案的异质性、操作者依赖性以及缺乏标准化培训。我们讨论了术前血管定位的解剖学依据,并强调了旨在标准化ICA可视化的新兴方案。尽管CDUS尚未纳入主要临床指南,但它是提高操作安全性的一个有前景的工具。新兴的人工智能应用可能通过减少操作者依赖性和提高可重复性进一步改善血管检测。高质量的前瞻性研究对于验证潜在的临床益处、优化实施策略以及支持将其纳入常规胸腔操作至关重要。