Literature DB >> 23110417

Diffuse near-infrared spectroscopy prediction of healing in diabetic foot ulcers: a human study and cost analysis.

Michael S Weingarten1, Joshua A Samuels, Michael Neidrauer, Xiang Mao, David Diaz, James McGuire, Jane McDaniel, Lori Jenkins, Leonid Zubkov, Elisabeth S Papazoglou.   

Abstract

Wound size reduction has been the standard benchmark for determination of efficacy for diabetic ulcer treatments but due to interclinician error and difficulty measuring irregular wound shapes, this method is unreliable with a positive predictive value of less than 60%. Diffuse near-infrared spectroscopy (DNIRS) uses 70-MHz modulated light in the diagnostic window (650-900 nm) noninvasively to quantify levels of oxy- and deoxy-hemoglobin in the wound bed, which when measured over time, can show a trend toward or away from healing based on the changes in oxy-hemoglobin concentration from week to week. In this study, DNIRS was used to monitor 24 human diabetic foot ulcers longitudinally over the course of 20 weekly or biweekly measurement sessions. In just 4 weeks, the DNIRS system has an 82% positive predictive value (sensitivity of 0.9 and specificity of 0.86; p < 0.002). These data indicate that it could be possible to predict healing in 4 weeks using DNIRS, which can provide objective guidance toward the continuation of costly treatments. Discontinuing ineffective treatments after 4 weeks could have potentially saved over $12,600 per patient, based on the treatment regimen of patients in this study.
© 2012 by the Wound Healing Society.

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Year:  2012        PMID: 23110417     DOI: 10.1111/j.1524-475X.2012.00843.x

Source DB:  PubMed          Journal:  Wound Repair Regen        ISSN: 1067-1927            Impact factor:   3.617


  8 in total

1.  Design of a portable imager for near-infrared visualization of cutaneous wounds.

Authors:  Zhaoqiang Peng; Jun Zhou; Ashley Dacy; Deyin Zhao; Vasant Kearney; Weidong Zhou; Liping Tang; Wenjing Hu
Journal:  J Biomed Opt       Date:  2017-01-01       Impact factor: 3.170

2.  Effects of Non-thermal, Non-cavitational Ultrasound Exposure on Human Diabetic Ulcer Healing and Inflammatory Gene Expression in a Pilot Study.

Authors:  Anamika Bajpai; Sumati Nadkarni; Michael Neidrauer; Michael S Weingarten; Peter A Lewin; Kara L Spiller
Journal:  Ultrasound Med Biol       Date:  2018-06-22       Impact factor: 2.998

Review 3.  Critical Review of Noninvasive Optical Technologies for Wound Imaging.

Authors:  Maanasa Jayachandran; Suset Rodriguez; Elizabeth Solis; Jiali Lei; Anuradha Godavarty
Journal:  Adv Wound Care (New Rochelle)       Date:  2016-08-01       Impact factor: 4.730

Review 4.  Experimental models and methods for cutaneous wound healing assessment.

Authors:  Daniela S Masson-Meyers; Thiago A M Andrade; Guilherme F Caetano; Francielle R Guimaraes; Marcel N Leite; Saulo N Leite; Marco Andrey C Frade
Journal:  Int J Exp Pathol       Date:  2020-03-30       Impact factor: 1.925

5.  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

6.  Deconvolution of heterogeneous wound tissue samples into relative macrophage phenotype composition via models based on gene expression.

Authors:  Nicole M Ferraro; Will Dampier; Michael S Weingarten; Kara L Spiller
Journal:  Integr Biol (Camb)       Date:  2017-04-18       Impact factor: 2.192

7.  Assessing the Healing of Venous Leg Ulcers Using a Noncontact Near-Infrared Optical Imaging Approach.

Authors:  Jiali Lei; Suset Rodriguez; Maanasa Jayachandran; Elizabeth Solis; Katrina Epnere; Francisco Perez-Clavijo; Stephen Wigley; Anuradha Godavarty
Journal:  Adv Wound Care (New Rochelle)       Date:  2018-04-01       Impact factor: 4.730

Review 8.  Telehealth and telemedicine applications for the diabetic foot: A systematic review.

Authors:  Constantijn E V B Hazenberg; Wouter B Aan de Stegge; Sjef G Van Baal; Frans L Moll; Sicco A Bus
Journal:  Diabetes Metab Res Rev       Date:  2019-12-20       Impact factor: 4.876

  8 in total

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