Infrared (IR) thermography-based quantitative parameters to predict the risk of post-operative cancerous breast resection flap necrosis
Abstract
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.
- Publication:
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Infrared Physics and Technology
- Pub Date:
- December 2019
- DOI:
- Bibcode:
- 2019InPhT.10303063S
- Keywords:
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- Active dynamic thermography;
- Synthetic image reconstruction;
- Tissue activity ratio;
- Breast reconstruction;
- Binary classification;
- TRAM flap