Journal
INFRARED PHYSICS & TECHNOLOGY
Volume 103, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.infrared.2019.103063
Keywords
Active dynamic thermography; Synthetic image reconstruction; Tissue activity ratio; Breast reconstruction; Binary classification; TRAM flap
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Funding
- SingHealth-NTU collaborative research grant, Singapore [SHS-NTU/014/2016]
- Statutory Funds of Electronics, Telecommunications and Informatics Faculty, Gdansk University of Technology, Poland
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Despite intraoperative clinical evaluation, development of post-breast reconstruction surgery flap necrosis is not uncommon. This results in prolonged healing or the need for a secondary corrective procedure to remove the necrosis part. In the present study, to predict the post-operative necrosis risk (within 24 h), novel passive and active dynamic thermography-based quantitative parameters were tested. Thirty-two patients, undergoing breast reconstruction surgery, were recruited, on whom, post-surgery passive and active infrared (IR) thermography examinations were performed. Using the resultant quantitative parameters, a cut-off value-based classification model was tested that resulted in a highest sensitivity, specificity, and accuracy of 89%, 87%, and 88%, respectively, for the passive thermography examination performed just after the surgery.
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