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Abstract
Our aim was to investigate the effectiveness of the technologist-driven injection technique of lymphoscintigraphy used at a rural hospital in Australia to identify the correct lymph node for sentinel lymph node biopsy (SLNB) in early-stage breast cancer patients. Methods: A retrospective audit was conducted using imaging and medical record data from 145 eligible patients who underwent preoperative lymphoscintigraphy for SLNB at a single center throughout 2013 and 2014. The lymphoscintigraphy technique included a single periareolar injection with subsequent dynamic and static images as required. Descriptive statistics, sentinel node identification rates, and imaging–surgery concordance rates were generated from the data. Additionally, χ2 analysis was used to examine the relationships between age, previous surgical intervention, and injection site and time until a sentinel node is visualized. The technique and statistical results were directly compared against multiple similar studies in the literature. Results: The sentinel node identification rate was 99.3%, and the imaging–surgery concordance rate was 97.2%. The identification rate was significantly higher than those of similar studies in the literature, and concordance rates were similar across studies. The findings demonstrated that age (P = 0.508) and previous surgical intervention (P = 0.966) did not influence the time it takes to visualize a sentinel node. Injection site did appear to have a statistically significant effect (P = 0.001), with injections in the upper outer quadrant correlating with increased times between injection and visualization. Conclusion: The reported lymphoscintigraphy technique for identifying sentinel lymph nodes for SLNB in early-stage breast cancer patients can be justified as an accurate and effective method that is time-sensitive and has outcomes comparable to those of successful studies in the literature.
Footnotes
Published online Jun. 14, 2023.
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