Literature DB >> 28586092

Quantitative skin assessment using spatial frequency domain imaging (SFDI) in patients with or at high risk for pressure ulcers.

Amr Yafi1,2, Fuad K Muakkassa1,2,3, Tejasvi Pasupneti2,4, Judy Fulton2, David J Cuccia5, Amaan Mazhar5, Kimberly N Blasiole2, Eliot N Mostow1,2.   

Abstract

BACKGROUND AND
OBJECTIVE: Pressure ulcers (PU) are a significant problem facing the health system in the United States. Here, we present preliminary case studies demonstrating feasibility of Spatial Frequency Domain Imaging (SFDI) to assess skin status in high-risk populations and pre-existing wounds. SFDI is a wide-field non-contact optical imaging technology that uses structured light to obtain tissue optical properties and of tissue constituents. This study aims to determine the fit of SFDI for PU care and determine the next steps. STUDY DESIGN/
MATERIALS AND METHODS: Patients at risk for pressure ulcers were imaged using a near-infrared SFDI system. SFDI-derived images of tissue function (tissue hemoglobin, tissue oxygen saturation) and structure (tissue scattering) were then compared to each other as well as a blinded dermatologist's clinical impressions.
RESULTS: Four case series were chosen to demonstrate the imaging capability of this technology. The first scenario demonstrates normal skin of three patients without skin breakdown with spatially uniform measures of tissue oxygen saturation, scattering, and blood volume. The second scenario demonstrates a stage II PU; the third case shows non-blanchable erythema of an unstageable PU; a fourth scenario is a clinically indistinguishable skin rash versus early stages of a PU. In all these cases, we observe spatial changes in tissue constituents (decrease in tissue oxygen saturation, increased blood pooling, decreased scattering).
CONCLUSION: We have presented the first use of SFDI for pressure ulcer imaging and staging. This preliminary study demonstrates the feasibility of this optical technology to assess tissue oxygen saturation and blood volume status in a quantitative manner. With the proposed improvements in modeling and hardware, SFDI has potential to provide a means for pressure ulcer risk stratification, healing and staging. Lasers Surg. Med. 49:827-834, 2017
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  SFDI; camera; light; near-infrared; optics; photography; wound

Mesh:

Year:  2017        PMID: 28586092     DOI: 10.1002/lsm.22692

Source DB:  PubMed          Journal:  Lasers Surg Med        ISSN: 0196-8092            Impact factor:   4.025


  18 in total

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2.  Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning.

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3.  In vivo real-time imaging of cutaneous hemoglobin concentration, oxygen saturation, scattering properties, melanin content, and epidermal thickness with visible spatially modulated light.

Authors:  Xinlin Chen; Weihao Lin; Chenge Wang; Shaoheng Chen; Jing Sheng; Bixin Zeng; M Xu
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Authors:  Yikun Wang; Xu Kang; Yang Zhang; Zhiguo Shi; Huiming Ren; Quanfu Wang; Mingwei Chen; Yuanzhi Zhang
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6.  Multifunctional in vivo imaging for monitoring wound healing using swept-source polarization-sensitive optical coherence tomography.

Authors:  Kwan S Park; Woo June Choi; Shaozhen Song; Jingjiang Xu; Ruikang K Wang
Journal:  Lasers Surg Med       Date:  2017-11-30       Impact factor: 4.025

7.  Integration of polarized spatial frequency domain imaging (pSFDI) with a biaxial mechanical testing system for quantification of load-dependent collagen architecture in soft collagenous tissues.

Authors:  Samuel V Jett; Luke T Hudson; Ryan Baumwart; Bradley N Bohnstedt; Arshid Mir; Harold M Burkhart; Gerhard A Holzapfel; Yi Wu; Chung-Hao Lee
Journal:  Acta Biomater       Date:  2019-11-14       Impact factor: 8.947

8.  Demonstrating the Potential of Using Transcutaneous Oxygen and Carbon Dioxide Tensions to Assess the Risk of Pressure Injuries.

Authors:  Mei Xue; Dandan Wang; Zhaozhi Zhang; Zhixin Cao; Zujin Luo; Yingying Zheng; Jingjing Lu; Qi Zhao; Xiaohua Douglas Zhang
Journal:  Int J Biol Sci       Date:  2018-08-06       Impact factor: 6.580

9.  Real-time, wide-field, and quantitative oxygenation imaging using spatiotemporal modulation of light.

Authors:  Manon Schmidt; Enagnon Aguénounon; Amir Nahas; Murielle Torregrossa; Bruce J Tromberg; Wilfried Uhring; Sylvain Gioux
Journal:  J Biomed Opt       Date:  2019-03       Impact factor: 3.170

10.  Sensing, monitoring, and release of therapeutics: the translational journey of next generation bandages.

Authors:  Zongxi Li; Haley Marks; Conor Evans; Gabriela Apiou-Sbirlea
Journal:  J Biomed Opt       Date:  2018-12       Impact factor: 3.170

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