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血管瘤管理的算法方法。

Algorithmic approach to the management of hemangiomas.

作者信息

Soltani Ali M, Reinisch John F

机构信息

Division of Plastic Surgery, Department of Surgery, Keck School of Medicine, University of Southern California, Cedars-Sinai Medical Center, Los Angeles, California 90033, USA.

出版信息

J Craniofac Surg. 2011 Mar;22(2):585-8. doi: 10.1097/SCS.0b013e31820873ac.

Abstract

Hemangiomas are a common benign vascular tumor that can occur in all parts of the body. These lesions can be a distressing sight for both patient and parent. This unique vascular tumor has characteristic phases of growth. Historically, these tumors have been treated nonoperatively, but with variable results. Often, the residual-resolved tumor produces contour defects, unpredictable scarring, and pigmentation problems. The authors devised an algorithmic diagram for treating hemangiomas based on a 30-year experience with treating these unique tumors. This step-by-step method delineates the thinking method that should be used when presented with a difficult hemangioma. This algorithmic method takes into account a multifactorial approach to management. This includes anatomic location, growth velocity, treatment response, expected outcome, and psychosocial considerations.

摘要

血管瘤是一种常见的良性血管肿瘤,可发生于身体的各个部位。这些病变对患者和家长来说可能都是令人苦恼的景象。这种独特的血管肿瘤具有特征性的生长阶段。从历史上看,这些肿瘤一直采用非手术治疗,但效果不一。通常,残留消退的肿瘤会产生轮廓缺陷、不可预测的瘢痕形成和色素沉着问题。作者基于30年治疗这些独特肿瘤的经验,设计了一种治疗血管瘤的算法图。这种逐步方法描绘了面对复杂血管瘤时应采用的思维方式。这种算法方法考虑了多因素管理方法。这包括解剖位置、生长速度、治疗反应、预期结果和社会心理因素。

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