02586nas a2200229 4500000000100000008004100001653003500042653001200077653001100089653002700100100001100127700001400138700001700152700001300169700001400182245007400196856007200270300001000342490000700352520198300359022001402342 2019 d10aGraphical user interface (GUI)10aleprosy10aMATLAB10aNeuropathic foot ulcer1 aShah P1 aMahajan S1 aNageswaran S1 aPaul SKM1 aEbenzer M00aNon-contact ulcer area calculation system for neuropathic foot ulcer. uhttps://www.sciencedirect.com/science/article/pii/S1268773117312729 a47-500 v253 a
BACKGROUND: Around 125,785 new cases in year 2013-14 of leprosy were detected in India as per WHO report on leprosy in September 2015 which accounts to approximately 62% of the total new cases. Anaesthetic foot caused by leprosy leads to uneven loading of foot leading to ulcer in approximately 20% of the cases. Much efforts have gone in identifying newer techniques to efficiently monitor the progress of ulcer healing. Current techniques followed in measuring the size of ulcers, have not been found to be so accurate but are still is followed by clinicians across the globe. Quantification of prognosis of the condition would be required to understand the efficacy of current treatment methods and plan for further treatment. This study aims at developing a non contact technique to precisely measure the size of ulcer in patients affected by leprosy.
METHODS: Using MATLAB software, GUI was designed to process the acquired ulcer image by segmenting and calculating the pixel area of the image. The image was further converted to a standard measurement using a reference object. The developed technique was tested on 16 ulcer images acquired from 10 leprosy patients with plantar ulcers. Statistical analysis was done using MedCalc analysis software to find the reliability of the system.
RESULTS: The analysis showed a very high correlation coefficient (r=0.9882) between the ulcer area measurements done using traditional technique and the newly developed technique, The reliability of the newly developed technique was significant with a significance level of 99.9%.
CONCLUSIONS: The designed non-contact ulcer area calculating system using MATLAB is found to be a reliable system in calculating the size of ulcers. The technique would help clinicians have a reliable tool to monitor the progress of ulcer healing and help modify the treatment protocol if needed.
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