Literature DB >> 18048869

Digital imaging of wounds: are measurements reproducible among observers?

Susan Y Quan1, Gerald S Lazarus, Angela R Kohli, Roger Kapoor, David J Margolis.   

Abstract

Advances in digital imaging and archiving have made the measurement and documentation of wound areas possible over time. To assess the reproducibility and precision of digital image measurements, we used WoundMatrix Web (http://www.woundmatrix.com/) and recruited a group of caregivers from the Johns Hopkins Wound Center to measure the size of wounds on digital images by measuring length and width and tracing the circumference of the same wounds. One set of images was provided by WoundMatrix (WoundMatrix Inc, Chadds Ford, PA) and a second set used our own photographs taken at the Johns Hopkins Wound Center. Our results demonstrate that digital analysis with WoundMatrix Web is reproducible and precise with acceptable variation among readers. This supports the use of digital images of wounds to follow clinical progress as well as analyze the effects of new clinical interventions in clinical trials.

Mesh:

Year:  2007        PMID: 18048869     DOI: 10.1177/1534734607306880

Source DB:  PubMed          Journal:  Int J Low Extrem Wounds        ISSN: 1534-7346            Impact factor:   2.057


  5 in total

1.  Validation of a laser-assisted wound measurement device for measuring wound volume.

Authors:  Kathryn E Davis; Fadi C Constantine; Elaine C Macaslan; Jessica D Bills; Debby L Noble; Lawrence A Lavery
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

2.  Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review.

Authors:  Kai Siang Chan; Zhiwen Joseph Lo
Journal:  Int Wound J       Date:  2020-08-23       Impact factor: 3.315

3.  Hemoglobin A1c predicts healing rate in diabetic wounds.

Authors:  Andrea L Christman; Elizabeth Selvin; David J Margolis; Gerald S Lazarus; Luis A Garza
Journal:  J Invest Dermatol       Date:  2011-06-23       Impact factor: 8.551

4.  Clinical validation of an artificial intelligence-enabled wound imaging mobile application in diabetic foot ulcers.

Authors:  Kai Siang Chan; Yam Meng Chan; Audrey Hui Min Tan; Shanying Liang; Yuan Teng Cho; Qiantai Hong; Enming Yong; Lester Rhan Chaen Chong; Li Zhang; Glenn Wei Leong Tan; Sadhana Chandrasekar; Zhiwen Joseph Lo
Journal:  Int Wound J       Date:  2021-05-04       Impact factor: 3.315

5.  Clinical validation of a machine-learning-based handheld 3-dimensional infrared wound imaging device in venous leg ulcers.

Authors:  Kai Siang Chan; Shanying Liang; Yuan Teng Cho; Yam Meng Chan; Audrey Hui Min Tan; Sivakami Muthuveerappa; Tina Peiting Lai; Cheng Cheng Goh; Annie Joseph; Qiantai Hong; Enming Yong; Li Zhang; Lester Rhan Chaen Chong; Glenn Wei Leong Tan; Sadhana Chandrasekar; Zhiwen Joseph Lo
Journal:  Int Wound J       Date:  2021-06-14       Impact factor: 3.315

  5 in total

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