Literature DB >> 28951240

Skin Surface Temperatures Measured by Thermal Imaging Aid in the Diagnosis of Cellulitis.

Lauren N Ko1, Adam B Raff2, Anna C Garza-Mayers1, Allison S Dobry1, Antonio Ortega-Martinez3, R Rox Anderson2, Daniela Kroshinsky4.   

Abstract

Warmth is a characteristic but nondiagnostic feature of cellulitis. We assessed the diagnostic utility of skin surface temperature in differentiating cellulitis from pseudocellulitis. Adult patients presenting to the emergency department of a large urban hospital with presumed cellulitis were enrolled. Patients were randomized to dermatology consultation (n = 40) versus standard of care (n = 32). Thermal images of affected and unaffected skin were obtained for each patient. Analysis was performed on dermatology consultation patients to establish a predictive model for cellulitis, which was then validated in the other cohort. Of those evaluated by dermatology consultation, pseudocellulitis was diagnosed in 28%. Cellulitis patients had an average maximum affected skin temperature of 34.1°C, which was 3.7°C warmer than the corresponding unaffected area (95% confidence interval = 2.7-4.8°C, P < 0.00001). Pseudocellulitis patients had an average maximum affected temperature of 31.5°C, which was 0.2°C warmer than the corresponding unaffected area (95% confidence interval = -1.1 to 1.5°C, P = 0.44). Temperature differences between sites were greater in cellulitis patients than in pseudocellulitis patients (3.7 vs. 0.2°C, P = 0.002). A logistic regression model showed that a temperature difference of 0.47°C or greater conferred a 96.6% sensitivity, 45.5% specificity, 82.4% positive predictive value, and 83.3% negative predictive value for cellulitis diagnosis. When validated in the other cohort, this model gave the correct diagnosis for 100% of patients with cellulitis and 50% of those with pseudocellulitis. A difference threshold of 0.47°C or greater between affected and unaffected skin showed an 87.5% accuracy in cellulitis diagnosis.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28951240     DOI: 10.1016/j.jid.2017.09.022

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  9 in total

1.  Bridging medicine and biomedical technology: enhance translation of fundamental research to patient care.

Authors:  Adam B Raff; Theo G Seiler; Gabriela Apiou-Sbirlea
Journal:  Biomed Opt Express       Date:  2017-11-03       Impact factor: 3.732

2.  Describing Normative Foot Temperatures in Patients With Diabetes-Related Peripheral Neuropathy.

Authors:  Brian M Schmidt; Sara Allison; James S Wrobel
Journal:  J Diabetes Sci Technol       Date:  2019-07-17

3.  Comparing skin surface temperature to clinical documentation of skin warmth in emergency department patients diagnosed with cellulitis.

Authors:  Edward Harwick; Rebecca J Schwei; Robert Glinert; Ambar Haleem; Jamie Hess; Thomas Keenan; Joseph A McBride; Robert Redwood; Michael S Pulia
Journal:  J Am Coll Emerg Physicians Open       Date:  2022-04-18

4.  Estimating Respiratory Rate in Post-Anesthesia Care Unit Patients Using Infrared Thermography: An Observational Study.

Authors:  Nadine Hochhausen; Carina Barbosa Pereira; Steffen Leonhardt; Rolf Rossaint; Michael Czaplik
Journal:  Sensors (Basel)       Date:  2018-05-18       Impact factor: 3.576

Review 5.  A systematic review showing the lack of diagnostic criteria and tools developed for lower-limb cellulitis.

Authors:  M Patel; S I Lee; R K Akyea; D Grindlay; N Francis; N J Levell; P Smart; J Kai; K S Thomas
Journal:  Br J Dermatol       Date:  2019-06-28       Impact factor: 9.302

6.  Point-of-care infrared thermal imaging for differentiating venomous snakebites from non-venomous and dry bites.

Authors:  Paramasivam Sabitha; Chanaveerappa Bammigatti; Surendran Deepanjali; Bettadpura Shamanna Suryanarayana; Tamilarasu Kadhiravan
Journal:  PLoS Negl Trop Dis       Date:  2021-02-18

7.  Diffuse Reflectance Spectroscopy with Infrared Thermography for Accurate Prediction of Cellulitis.

Authors:  Adam B Raff; Antonio Ortega-Martinez; Sidharth Chand; Renajd Rrapi; Carina Thomas; Lauren N Ko; Anna C Garza-Mayers; Allison S Dobry; Blair Alden Parry; Richard Rox Anderson; Daniela Kroshinsky
Journal:  JID Innov       Date:  2021-06-08

8.  Infrared Thermal Imaging as a Novel Non-Invasive Point-of-Care Tool to Assess Filarial Lymphoedema.

Authors:  Louise A Kelly-Hope; Mohammad Jahirul Karim; Asm Sultan Mahmood; Abdullah Al Kawsar; Abul Khair; Hannah Betts; Janet Douglass; Armelle Forrer; Mark J Taylor
Journal:  J Clin Med       Date:  2021-05-25       Impact factor: 4.241

9.  Assessing the severity of psoriasis through multivariate analysis of optical images from non-lesional skin.

Authors:  Mantas Žurauskas; Ronit Barkalifa; Aneesh Alex; Marina Marjanovic; Darold R Spillman; Prabuddha Mukherjee; Craig D Neitzel; Warren Lee; Jeremy Medler; Zane Arp; Matthew Cleveland; Steve Hood; Stephen A Boppart
Journal:  Sci Rep       Date:  2020-06-08       Impact factor: 4.996

  9 in total

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