de Carvalho Vanessa Lôbo, Pitta Guilherme Benjamin Brandão, Cunha Sérgio Xavier Salles
Universidade Estadual de Ciências da Saúde de Alagoas - UNCISAL, Departamento de Cirurgia, Maceió, AL, Brasil.
Consultor em Técnicas Não Invasivas de Diagnóstico Vascular, Itanhaém, SP, Brasil.
J Vasc Bras. 2020 Nov 30;19:e20190139. doi: 10.1590/1677-5449.190139.
Lower limb edema has both systemic and local causes. Using software to differentiate the origin of edema in ultrasound images is an innovation.
To determine the parameters for using software to differentiate edema of venous and/or lymphatic origin in ultrasound images of the lower limbs.
This is a cross-sectional, quantitative, analytical study with non-probabilistic sampling by convenience. Data were collected by patient interview, physical examination, ultrasound examination, and analysis of software for tissue characterization in ultrasound image by means of quantification of echogenicity and Gray Scale Median (GSM).
The sample comprised 42 lower limbs with venous edema, 35 with lymphatic edema, 14 with mixed edema, and 11 control limbs. The distributions of pixels in echogenicity intervals by group was as follows. In the venous edema group, 88.31% were distributed from hypoechogenic interval IV to echogenic interval III; in the lymphatic edema group 71.73% were from hypoechogenic interval II to echogenic interval I; in the mixed edema group 76.17% were from hypoechogenic interval III to echogenic interval II; and in the control group 84.87% were distributed from echogenic interval II to hyperechogenic interval I. Mean and standard deviation of GSM values showed statistical differences between groups.
The CATUS software enabled differentiation of the type of lower limb edema, facilitating diagnosis of edema type and, consequently, choice of the best therapeutic option.
下肢水肿有全身性和局部性病因。利用软件在超声图像中鉴别水肿的来源是一项创新。
确定利用软件在下肢超声图像中鉴别静脉性和/或淋巴性水肿来源的参数。
这是一项采用便利抽样的非概率抽样的横断面、定量分析研究。通过患者访谈、体格检查、超声检查以及借助回声性量化和灰度中位数（GSM）对超声图像中的组织特征进行软件分析来收集数据。
样本包括42条有静脉性水肿的下肢、35条有淋巴性水肿的下肢、14条有混合性水肿的下肢以及11条对照下肢。各分组在回声性区间的像素分布如下。静脉性水肿组中，88.31%分布在低回声区间IV至回声区间III；淋巴性水肿组中71.73%分布在低回声区间II至回声区间I；混合性水肿组中76.17%分布在低回声区间III至回声区间II；对照组中84.87%分布在回声区间II至高回声区间I。GSM值的均值和标准差在各分组间存在统计学差异。
CATUS软件能够鉴别下肢水肿的类型，有助于水肿类型的诊断，从而有助于选择最佳治疗方案。
