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Erschienen in: Journal of Medical Systems 5/2017

01.05.2017 | Image & Signal Processing

Accuracy and Reliability of Infrared Thermography in Assessment of the Breasts of Women Affected by Cancer

verfasst von: Rinaldo Roberto de Jesus Guirro, Maíta Marade Oliveira Lima Leite Vaz, Lais Mara Siqueira das Neves, Almir Vieira Dibai-Filho, Hélio Humberto Angotti Carrara, Elaine Caldeira de Oliveira Guirro

Erschienen in: Journal of Medical Systems | Ausgabe 5/2017

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Abstract

Evaluate reliability and accuracy of infrared thermography in the assessment of women wth breasts cancer. Thirty-five participants had unilateral breast cancer and 17 control subjects were assessed using infrared thermography. To evaluate reliability, two professionals, who were experienced, measured the temperature of the infrared images in two different moments, with a one-week interval. Biopsy was used as a gold standard exam with regard identify breast cancer. The analysis illustrated excellent reliability in terms of the affected, contralateral and control breasts with the intra-class correlation coefficient values ranging from 0.948 to 0.999. Standard measurement error ranged from 0.04 to 0.28 °C, and minimum detectable change deviated from 0.11 to 0.78 °C. Moreover, low to moderate accuracy were observed in terms of the establishment of the breast cancer diagnosis with values of the area under the receiver operating characteristic (ROC) curve ranging from 0.571 and 0.749. Breasts affected by cancer present higher skin temperature compared to contralateral and control. Furthermore, excellent reliability of the analysis of the infrared images and low-moderate accuracy in terms diagnosis were observed. Considering the results, infrared thermography can be applied as an instrument complement the assessment of breast cancer patients, but not for diagnostic purposes.
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Metadaten
Titel
Accuracy and Reliability of Infrared Thermography in Assessment of the Breasts of Women Affected by Cancer
verfasst von
Rinaldo Roberto de Jesus Guirro
Maíta Marade Oliveira Lima Leite Vaz
Lais Mara Siqueira das Neves
Almir Vieira Dibai-Filho
Hélio Humberto Angotti Carrara
Elaine Caldeira de Oliveira Guirro
Publikationsdatum
01.05.2017
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 5/2017
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-017-0730-7

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