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J Reconstr Microsurg ; 28(3): 149-54, 2012 Mar.
Article in English | MEDLINE | ID: mdl-22131106

ABSTRACT

Free flap monitoring is essential to the early detection of compromise thereby increasing the chance of successful salvage surgery. Many alternatives to classical clinical monitoring have been proposed. This study seeks to investigate a relatively new monitoring technology: near infrared spectroscopy (NIRS). Patients were recruited prospectively to the study from a single center. During the research period, 10 patients underwent reconstruction with a free deep inferior epigastric perforator flap (DIEP). Measurements of flap perfusion were taken using NIRS in the preoperative and intraoperative phases and postoperatively for 72 hours. NIRS showed characteristic changes in all cases which returned to theater for pedicle compromise. In these cases, NIRS identified pedicle compromise prior to clinical identification. There were no false-positives. NIRS accurately identified all compromised flaps in our study. In most cases, there was an evidence of changes in oxygen saturation on NIRS prior to clinical observation. Further research, ideally double blind randomized control trials with large sample groups would be required to definitively establish NIRS as an ideal flap monitoring modality.


Subject(s)
Epigastric Arteries/transplantation , Mammaplasty/methods , Spectroscopy, Near-Infrared/methods , Surgical Flaps/blood supply , Tissue Survival , Abdominal Muscles/blood supply , Abdominal Muscles/transplantation , Adult , Breast Neoplasms/pathology , Breast Neoplasms/surgery , Cohort Studies , Epigastric Arteries/surgery , Female , Follow-Up Studies , Graft Rejection/prevention & control , Humans , Mammaplasty/adverse effects , Mastectomy/adverse effects , Mastectomy/methods , Microcirculation/physiology , Middle Aged , Monitoring, Physiologic/instrumentation , Monitoring, Physiologic/methods , Oxygen Consumption/physiology , Postoperative Care/methods , Prospective Studies , Reproducibility of Results , Sensitivity and Specificity , Statistics, Nonparametric , United Kingdom
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