Department of Plastic and Reconstructive Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Science, 2-5-1 Shikata-cho, Kita-ku, Okayama, 700-8558, Japan.
Department of Nursing, Kagawa Prefectural Central Hospital, Takamatsu, Japan.
Sci Rep. 2022 Jan 10;12(1):309. doi: 10.1038/s41598-021-03637-6.
Most protocols for lymphatic imaging of the lower limb conventionally inject tracer materials only into the interdigital space; however, recent studies indicate that there are four independent lymphatic vessel groups (anteromedial, anterolateral, posteromedial, and posterolateral) in the lower limb. Thus, three additional injection sites are needed for lymphatic imaging of the entire lower limb. We aimed to validate a multiple injection designed protocol and demonstrate its clinical benefits. Overall, 206 lower limbs undergoing indocyanine green fluorescent lymphography with the new injection protocol were registered retrospectively. To assess the influence of predictor variables on the degree of severity, multivariable logistic regression models were used with individual known risk factors. Using a generalized linear model, the area under the curve (AUC) of the conventional clinical model, comprising known severity risk factors, was compared with that of the modified model that included defects in the posterolateral and posteromedial groups. Multivariable logistic regression models showed a significant difference for the posteromedial and posterolateral groups. The AUC of the modified model was significantly improved compared to that of the conventional clinical model. Finding defects in the posteromedial and posterolateral groups is a significant criterion for judging lymphedema severity and introducing a new lymphedema severity classification.
大多数下肢淋巴成像的方案传统上仅将示踪剂注射到趾间间隙;然而,最近的研究表明,下肢有四个独立的淋巴管群(前内侧、前外侧、后内侧和后外侧)。因此,需要另外三个注射部位来进行整个下肢的淋巴成像。我们旨在验证一种多注射设计方案,并展示其临床益处。总体而言,有 206 条下肢通过新的注射方案进行了吲哚菁绿荧光淋巴造影术,我们对其进行了回顾性登记。为了评估预测变量对严重程度的影响,我们使用多变量逻辑回归模型,结合已知的个体风险因素。使用广义线性模型,将包含已知严重风险因素的传统临床模型的曲线下面积(AUC)与包含后内侧和后外侧组缺陷的改良模型的 AUC 进行比较。多变量逻辑回归模型显示后内侧和后外侧组有显著差异。改良模型的 AUC 明显优于传统临床模型。发现后内侧和后外侧组的缺陷是判断淋巴水肿严重程度的重要标准,并引入了一种新的淋巴水肿严重程度分类。