Literature DB >> 17303790

The use of medical hyperspectral technology to evaluate microcirculatory changes in diabetic foot ulcers and to predict clinical outcomes.

Lalita Khaodhiar1, Thanh Dinh, Kevin T Schomacker, Svetlana V Panasyuk, Jenny E Freeman, Robert Lew, Tiffany Vo, Alexander A Panasyuk, Christina Lima, John M Giurini, Thomas E Lyons, Aristidis Veves.   

Abstract

OBJECTIVE: Foot ulceration is a serious complication of diabetes, and new techniques that can predict wound healing may prove very helpful. We tested the ability of medical hyperspectral technology (HT), a novel diagnostic scanning technique that can quantify tissue oxy- and deoxyhemoglobin to predict diabetic foot ulcer healing. RESEARCH DESIGN AND METHODS: Ten type 1 diabetic patients with 21 foot ulcer sites, 13 type 1 diabetic patients without ulcers, and 14 nondiabetic control subjects were seen up to 4 times over a 6-month period. HT measurements of oxyhemoglobin (HT-oxy) and deoxyhemoglobin (HT-deoxy) were performed at or near the ulcer area and on the upper and lower extremity distant from the ulcer. An HT healing index for each site was calculated from the HT-oxy and -deoxy values.
RESULTS: Hyperspectral tissue oxygenation measurements observed changes in tissue immediately surrounding the ulcer when comparing ulcers that heal and ulcers that do not heal (P < 0.001). The sensitivity, specificity, and positive and negative predictive values of the HT index for predicting healing were 93, 86, 93, and 86%, respectively, when evaluated on images taken at the first visit. Changes in HT-oxy among the three risk groups were noted for the metatarsal area of the foot (P < 0.05) and the palm (P < 0.01). Changes in HT-deoxy and the HT healing index were noted for the palm only (P < 0.05 and P < 0.01, respectively).
CONCLUSIONS: HT has the capability to identify microvascular abnormalities and tissue oxygenation in the diabetic foot and predict ulcer healing. HT can assist in the management of foot ulceration.

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Mesh:

Year:  2007        PMID: 17303790     DOI: 10.2337/dc06-2209

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  32 in total

Review 1.  Hyperspectral imaging in diabetic foot wound care.

Authors:  Dmitry Yudovsky; Aksone Nouvong; Laurent Pilon
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

Review 2.  Diagnostic and prognostic utility of non-invasive imaging in diabetes management.

Authors:  Cristina Barsanti; Francesca Lenzarini; Claudia Kusmic
Journal:  World J Diabetes       Date:  2015-06-25

3.  Tissue Optical Clearing for Biomedical Imaging: From In Vitro to In Vivo.

Authors:  Tingting Yu; Dongyu Li; Dan Zhu
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  Diagnostic and Prognostic Utility of Non-Invasive Multimodal Imaging in Chronic Wound Monitoring: a Systematic Review.

Authors:  Rashmi Mukherjee; Suman Tewary; Aurobinda Routray
Journal:  J Med Syst       Date:  2017-02-13       Impact factor: 4.460

Review 5.  Medical hyperspectral imaging: a review.

Authors:  Guolan Lu; Baowei Fei
Journal:  J Biomed Opt       Date:  2014-01       Impact factor: 3.170

Review 6.  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

7.  Hyperspectral imaging in wound care: A systematic review.

Authors:  Gennadi Saiko; Phoebe Lombardi; Yunghan Au; Douglas Queen; David Armstrong; Keith Harding
Journal:  Int Wound J       Date:  2020-08-23       Impact factor: 3.315

8.  Characterisation of impaired wound healing in a preclinical model of induced diabetes using wide-field imaging and conventional immunohistochemistry assays.

Authors:  Mayer Saidian; Jonathan R T Lakey; Adrien Ponticorvo; Rebecca Rowland; Melissa Baldado; Joshua Williams; Maaikee Pronda; Michael Alexander; Antonio Flores; Li Shiri; Stellar Zhang; Bernard Choi; Roni Kohen; Bruce J Tromberg; Anthony J Durkin
Journal:  Int Wound J       Date:  2018-10-01       Impact factor: 3.315

9.  Characterization of a preclinical model of chronic ischemic wound.

Authors:  Sashwati Roy; Sabyasachi Biswas; Savita Khanna; Gayle Gordillo; Valerie Bergdall; Jeanne Green; Clay B Marsh; Lisa J Gould; Chandan K Sen
Journal:  Physiol Genomics       Date:  2009-03-17       Impact factor: 3.107

10.  Evaluation of diabetic foot ulcer healing with hyperspectral imaging of oxyhemoglobin and deoxyhemoglobin.

Authors:  Aksone Nouvong; Byron Hoogwerf; Emile Mohler; Brian Davis; Azita Tajaddini; Elizabeth Medenilla
Journal:  Diabetes Care       Date:  2009-07-29       Impact factor: 17.152

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