Literature DB >> 21239847

Quantitative assessments of burn degree by high-frequency ultrasonic backscattering and statistical model.

Yi-Hsun Lin1, Chih-Chung Huang, Shyh-Hau Wang.   

Abstract

An accurate and quantitative modality to assess the burn degree is crucial for determining further treatments to be properly applied to burn injury patients. Ultrasounds with frequencies higher than 20 MHz have been applied to dermatological diagnosis due to its high resolution and noninvasive capability. Yet, it is still lacking a substantial means to sensitively correlate the burn degree and ultrasonic measurements quantitatively. Thus, a 50 MHz ultrasound system was developed and implemented to measure ultrasonic signals backscattered from the burned skin tissues. Various burn degrees were achieved by placing a 100 °C brass plate onto the dorsal skins of anesthetized rats for various durations ranged from 5 to 20 s. The burn degrees were correlated with ultrasonic parameters, including integrated backscatter (IB) and Nakagami parameter (m) calculated from ultrasonic signals acquired from the burned tissues of a 5 × 1.4 mm (width × depth) area. Results demonstrated that both IB and m decreased exponentially with the increase of burn degree. Specifically, an IB of -79.0 ± 2.4 (mean ± standard deviation) dB for normal skin tissues tended to decrease to -94.0 ± 1.3 dB for those burned for 20 s, while the corresponding Nakagami parameters tended to decrease from 0.76 ± 0.08 to 0.45 ± 0.04. The variation of both IB and m was partially associated with the change of properties of collagen fibers from the burned tissues verified by samples of tissue histological sections. Particularly, the m parameter may be more sensitive to differentiate burned skin due to the fact that it has a greater rate of change with respect to different burn durations. These ultrasonic parameters in conjunction with high-frequency B-mode and Nakagami images could have the potential to assess the burn degree quantitatively.

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Year:  2011        PMID: 21239847     DOI: 10.1088/0031-9155/56/3/014

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  12 in total

1.  A new model for studying deep partial-thickness burns in rats.

Authors:  Hui-Fang Guo; Razana M Ali; Roslida A Hamid; Asma A Zaini; Huzwah Khaza'ai
Journal:  Int J Burns Trauma       Date:  2017-10-25

2.  Monitoring tissue inflammation and responses to drug treatments in early stages of mice bone fracture using 50 MHz ultrasound.

Authors:  Yen-Chu Chen; Yi-Hsun Lin; Shyh-Hau Wang; Shih-Ping Lin; K Kirk Shung; Chia-Ching Wu
Journal:  Ultrasonics       Date:  2013-07-11       Impact factor: 2.890

3.  A novel method for objectively, rapidly and accurately evaluating burn depth via near infrared spectroscopy.

Authors:  Meifang Yin; Yongming Li; Yongquan Luo; Mingzhou Yuan; Ubaldo Armato; Ilaria Dal Prà; Lijun Zhang; Dayong Zhang; Yating Wei; Guang Yang; Lixian Huang; Pin Wang; Jun Wu
Journal:  Burns Trauma       Date:  2021-07-09

Review 4.  Thermal injury of skin and subcutaneous tissues: A review of experimental approaches and numerical models.

Authors:  Hanglin Ye; Suvranu De
Journal:  Burns       Date:  2016-12-05       Impact factor: 2.744

5.  Evaluation of thrombolysis by using ultrasonic imaging: an in vitro study.

Authors:  Jui Fang; Po-Hsiang Tsui
Journal:  Sci Rep       Date:  2015-07-01       Impact factor: 4.379

6.  Assessment of the kinetic trajectory of the median nerve in the wrist by high-frequency ultrasound.

Authors:  Yi-Hsun Lin; Mei-Yu Hsieh; Fong-Chin Su; Shyh-Hau Wang
Journal:  Sensors (Basel)       Date:  2014-04-28       Impact factor: 3.576

7.  Quantitative Assessment of First Annular Pulley and Adjacent Tissues Using High-Frequency Ultrasound.

Authors:  Yi-Hsun Lin; Tai-Hua Yang; Shyh-Hau Wang; Fong-Chin Su
Journal:  Sensors (Basel)       Date:  2017-01-07       Impact factor: 3.576

Review 8.  Imaging of transplanted islets by positron emission tomography, magnetic resonance imaging, and ultrasonography.

Authors:  Naoaki Sakata; Gumpei Yoshimatsu; Haruyuki Tsuchiya; Takeshi Aoki; Masamichi Mizuma; Fuyuhiko Motoi; Yu Katayose; Tetsuya Kodama; Shinichi Egawa; Michiaki Unno
Journal:  Islets       Date:  2013-11-14       Impact factor: 2.694

9.  Cross-Sectional Nakagami Images in Passive Stretches Reveal Damage of Injured Muscles.

Authors:  Shih-Ping Lin; Yi-Hsun Lin; Shih-Chen Fan; Bu-Miin Huang; Wei-Yin Lin; Shyh-Hau Wang; K Kirk Shung; Fong-Chin Su; Chia-Ching Wu
Journal:  Biomed Res Int       Date:  2016-01-05       Impact factor: 3.411

10.  Prediction of Scar Size in Rats Six Months after Burns Based on Early Post-injury Polarization-Sensitive Optical Frequency Domain Imaging.

Authors:  Eli Kravez; Martin Villiger; Brett Bouma; Martin Yarmush; Zohar Yakhini; Alexander Golberg
Journal:  Front Physiol       Date:  2017-12-01       Impact factor: 4.566

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