Song, B.; Kim, J.; Kwon, H.; Kim, S.; Oh, S.-H.; Ha, Y.; Song, S.-H. Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement. J. Clin. Med.2023, 12, 6042.
Song, B.; Kim, J.; Kwon, H.; Kim, S.; Oh, S.-H.; Ha, Y.; Song, S.-H. Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement. J. Clin. Med. 2023, 12, 6042.
Song, B.; Kim, J.; Kwon, H.; Kim, S.; Oh, S.-H.; Ha, Y.; Song, S.-H. Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement. J. Clin. Med.2023, 12, 6042.
Song, B.; Kim, J.; Kwon, H.; Kim, S.; Oh, S.-H.; Ha, Y.; Song, S.-H. Smartphone-Based LiDAR Application for Easy and Accurate Wound Size Measurement. J. Clin. Med. 2023, 12, 6042.
Abstract
The accurate assessment of wound size is a critical step in advanced wound care management. This study aims to introduce and validate a Light Detection and Ranging (LiDAR) technique for measuring wound size. Twenty-eight wounds treated from December 2022 to April 2023 at the Chunganam National University Hospital were analyzed. All wounds were measured using three techniques; conventional ruler methods, the LiDAR technique, and ImageJ analysis. Correlation analysis, linear regression, and Bland-Altman plot analysis were conducted to validate the accuracy of the newly introduced method. The measurement results (Mean ± Standard deviation) obtained using the Ruler method, LiDAR technique, and ImageJ analysis were 112.99 ± 110.07 cm², 73.59 ± 72.97 cm², and 74.29 ± 72.15 cm², respectively. The Pearson correlation coefficient was higher in the LiDAR application (0.995) than the conventional ruler methods (Mean difference; -5.0000 cm2), as was the degree of agreement (Mean difference; 38.6933 cm2). Wound size measurement using LiDAR is a simple and reliable method that allows practitioners to conveniently assess wounds with a flattened and irregular shape. However, non-flattened wounds cannot be assessed owing to the technical limitations of LiDAR.
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