Piotr Foltynski1, Piotr Ladyzynski1. 1. Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Warsaw, Poland.
Abstract
BACKGROUND: The purpose of this study was to determine the accuracy of wound area measurement at a curved surface using a digital planimetry (DP) with the newly proposed adaptive calibration. METHODS: Forty wound shapes were printed and placed at the side surfaces of cylinders with diameters of 9.4 and 6.2 cm. Area measurements were carried out using a commercial device SilhouetteMobile (Aranz, New Zealand) and the planimetric app Planimator. Planimetric area measurements were carried out using 2 one-dimensional calibration markers placed above and below the wound shape. The method of adaptive calibration for DP was described. Reference area values of wound shapes were obtained by pixel counting on digital scans made with an optical scanner. Relative errors (REs) and relative differences (RDs) for area measurements were analyzed. RESULTS: The median of REs for the DP with adaptive calibration (DPwAC) was equal to 0.60% and was significantly smaller than the median for the SilhouetteMobile device (SMD) (2.65%), and significantly smaller than the median for the DP (2.23%). The SD of RDs for the DPwAC of 0.87% was considerably lower than for the SMD (6.45%), and for the DP without adaptive calibration (2.51%). The mean of RDs for the DPwAC (0.082%) was not significantly different from zero, which means that the systematic error was not present for the DPwAC. CONCLUSIONS: The use of the adaptive calibration in DP to measure the areas at curved surface resulted in a significant increase of accuracy and precision, and removal of systematic error. The DPwAC revealed 4.4 times lower error and 7.4 times higher precision of area measurement at curved surfaces than the SMD.
BACKGROUND: The purpose of this study was to determine the accuracy of wound area measurement at a curved surface using a digital planimetry (DP) with the newly proposed adaptive calibration. METHODS: Forty wound shapes were printed and placed at the side surfaces of cylinders with diameters of 9.4 and 6.2 cm. Area measurements were carried out using a commercial device SilhouetteMobile (Aranz, New Zealand) and the planimetric app Planimator. Planimetric area measurements were carried out using 2 one-dimensional calibration markers placed above and below the wound shape. The method of adaptive calibration for DP was described. Reference area values of wound shapes were obtained by pixel counting on digital scans made with an optical scanner. Relative errors (REs) and relative differences (RDs) for area measurements were analyzed. RESULTS: The median of REs for the DP with adaptive calibration (DPwAC) was equal to 0.60% and was significantly smaller than the median for the SilhouetteMobile device (SMD) (2.65%), and significantly smaller than the median for the DP (2.23%). The SD of RDs for the DPwAC of 0.87% was considerably lower than for the SMD (6.45%), and for the DP without adaptive calibration (2.51%). The mean of RDs for the DPwAC (0.082%) was not significantly different from zero, which means that the systematic error was not present for the DPwAC. CONCLUSIONS: The use of the adaptive calibration in DP to measure the areas at curved surface resulted in a significant increase of accuracy and precision, and removal of systematic error. The DPwAC revealed 4.4 times lower error and 7.4 times higher precision of area measurement at curved surfaces than the SMD.
Entities:
Keywords:
diabetes mellitus; diabetic foot syndrome; diabetic ulcers; digital planimetry; wound area measurement
Authors: David L Steed; Christopher Attinger; Theodore Colaizzi; Mary Crossland; Michael Franz; Lawrence Harkless; Andrew Johnson; Hans Moosa; Martin Robson; Thomas Serena; Peter Sheehan; Aristidis Veves; Laurel Wiersma-Bryant Journal: Wound Repair Regen Date: 2006 Nov-Dec Impact factor: 3.617
Authors: Piotr Ladyzynski; Piotr Foltynski; Maria Molik; Justyna Tarwacka; Karolina Migalska-Musial; Miroslawa Mlynarczuk; Jan Maria Wojcicki; Janusz Krzymien; Waldemar Karnafel Journal: Diabetes Technol Ther Date: 2011-07-13 Impact factor: 6.118
Authors: Anil Hingorani; Glenn M LaMuraglia; Peter Henke; Mark H Meissner; Lorraine Loretz; Kathya M Zinszer; Vickie R Driver; Robert Frykberg; Teresa L Carman; William Marston; Joseph L Mills; Mohammad Hassan Murad Journal: J Vasc Surg Date: 2016-02 Impact factor: 4.268
Authors: Piotr Foltynski; Piotr Ladyzynski; Anna Ciechanowska; Karolina Migalska-Musial; Grzegorz Judzewicz; Stanislawa Sabalinska Journal: PLoS One Date: 2015-08-07 Impact factor: 3.240