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Prediction of ICG for Skin Necrosis in Mastectomy With Immediate Reconstruction

University Medical Center Groningen · 2025
ClinicalTrials.gov · Datasets · License: Public Domain · 2025
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breast-cancer
Background Breast cancer represents 30 percent of newly diagnosed malignancies in female patients and is the leading cause of death in middle-aged women. Surgical treatment of breast cancer is performed with breast-conserving surgery or mastectomy. An increasing proportion of breast cancer patients undergo breast reconstruction after mastectomy. Reconstruction can be performed using various techniques that may involve the use of autologous tissues, implants, or a combination of both. However, mastectomy followed by immediate reconstruction can be associated with complications, including skin and fat necrosis, which occurs in 20% of cases. When assessing tissue perfusion during immediate reconstruction, the surgeon relies on subjective observations, including skin color, capillary refill, and the occurrence of bleeding. One possible technique to assist the surgeon in assessing tissue perfusion is near-infrared (NIR) fluorescence imaging with Indocyanine Green (ICG). ICG can visualize tissue perfusion, because once in the bloodstream it is completely and permanently fixed to plasma proteins and circulates only in the intravascular compartment. ICG was approved for clinical use of tissue perfusion as early as 1956, such as in intestinal anastomoses, for the perfusion of free flaps or parathyroid glands. ICG can also help predict postoperative skin necrosis in breast reconstruction after mastectomy. In patients undergoing (reconstructive) breast surgery, the intraoperative use of ICG NIR fluorescence imaging has been shown to help surgeons assess skin viability, thereby reducing the occurrence of skin necrosis in several studies. This reduction in necrosis can be explained by the intraoperative removal of tissue with reduced fluorescence intensity, observed with ICG NIR fluorescence imaging. However, there is no consensus on which ICG-NIR perfusion parameter is most accurate for assessing tissue perfusion. Further research is needed to determine cut-off values for ade
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