Infrared Thermography as a Method of Verification in Raynaud’s Phenomenon
Raynaud’s phenomenon (RP) is characterized by the episodic whitening of the fingers upon exposure to cold. A recently described thermographic algorithm was proposed as a diagnostic replacement of the currently applied finger systolic pressure (FSP) test. The aim of the study was to evaluate the perf...
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doaj-f86d8532f96c4d33969727579e39ef212021-06-01T01:30:57ZengMDPI AGDiagnostics2075-44182021-05-011198198110.3390/diagnostics11060981Infrared Thermography as a Method of Verification in Raynaud’s PhenomenonLotte Lindberg0Bent Kristensen1Ebbe Eldrup2Jane Frølund Thomsen3Lars Thorbjørn Jensen4Department of Nuclear Medicine, Copenhagen University Hospital, Herlev Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, DenmarkDepartment of Nuclear Medicine, Copenhagen University Hospital, Herlev Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, DenmarkDepartment of Endocrinology, Copenhagen University Hospital, Herlev Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, DenmarkDepartment of Occupational and Environmental Medicine, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400 Copenhagen, DenmarkDepartment of Nuclear Medicine, Copenhagen University Hospital, Herlev Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, DenmarkRaynaud’s phenomenon (RP) is characterized by the episodic whitening of the fingers upon exposure to cold. A recently described thermographic algorithm was proposed as a diagnostic replacement of the currently applied finger systolic pressure (FSP) test. The aim of the study was to evaluate the performance of the thermographic algorithm when applied in patients suspected of having RP. Forty-three patients were examined using thermographic imaging after local cooling of the hands in water of 10 °C for 1 min. The thermographic algorithm was applied to predict the probability of RP. The performance of the algorithm was evaluated with different cut-off levels. A new algorithm was proposed based on patients from the target population. The performance of the tested algorithm was noninferior to the FSP test, when a cut-off level of 0.05 was applied, yielding a sensitivity and specificity of 69% and 58%, respectively. The accuracy was 66%. The FSP test had a sensitivity and specificity of 77% and 37%, respectively, and the accuracy was 59%. The thermographic method proved useful for detecting RP and was able to replace the FSP test as a diagnostic test. The alternative algorithm revealed that other thermographic variables were more predictive of the target population, but this should be verified in future patients.https://www.mdpi.com/2075-4418/11/6/981cold challengediagnostic methodinfrared thermographic imagingsecondary Raynaud’s phenomenonvibration white finger |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lotte Lindberg Bent Kristensen Ebbe Eldrup Jane Frølund Thomsen Lars Thorbjørn Jensen |
spellingShingle |
Lotte Lindberg Bent Kristensen Ebbe Eldrup Jane Frølund Thomsen Lars Thorbjørn Jensen Infrared Thermography as a Method of Verification in Raynaud’s Phenomenon Diagnostics cold challenge diagnostic method infrared thermographic imaging secondary Raynaud’s phenomenon vibration white finger |
author_facet |
Lotte Lindberg Bent Kristensen Ebbe Eldrup Jane Frølund Thomsen Lars Thorbjørn Jensen |
author_sort |
Lotte Lindberg |
title |
Infrared Thermography as a Method of Verification in Raynaud’s Phenomenon |
title_short |
Infrared Thermography as a Method of Verification in Raynaud’s Phenomenon |
title_full |
Infrared Thermography as a Method of Verification in Raynaud’s Phenomenon |
title_fullStr |
Infrared Thermography as a Method of Verification in Raynaud’s Phenomenon |
title_full_unstemmed |
Infrared Thermography as a Method of Verification in Raynaud’s Phenomenon |
title_sort |
infrared thermography as a method of verification in raynaud’s phenomenon |
publisher |
MDPI AG |
series |
Diagnostics |
issn |
2075-4418 |
publishDate |
2021-05-01 |
description |
Raynaud’s phenomenon (RP) is characterized by the episodic whitening of the fingers upon exposure to cold. A recently described thermographic algorithm was proposed as a diagnostic replacement of the currently applied finger systolic pressure (FSP) test. The aim of the study was to evaluate the performance of the thermographic algorithm when applied in patients suspected of having RP. Forty-three patients were examined using thermographic imaging after local cooling of the hands in water of 10 °C for 1 min. The thermographic algorithm was applied to predict the probability of RP. The performance of the algorithm was evaluated with different cut-off levels. A new algorithm was proposed based on patients from the target population. The performance of the tested algorithm was noninferior to the FSP test, when a cut-off level of 0.05 was applied, yielding a sensitivity and specificity of 69% and 58%, respectively. The accuracy was 66%. The FSP test had a sensitivity and specificity of 77% and 37%, respectively, and the accuracy was 59%. The thermographic method proved useful for detecting RP and was able to replace the FSP test as a diagnostic test. The alternative algorithm revealed that other thermographic variables were more predictive of the target population, but this should be verified in future patients. |
topic |
cold challenge diagnostic method infrared thermographic imaging secondary Raynaud’s phenomenon vibration white finger |
url |
https://www.mdpi.com/2075-4418/11/6/981 |
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