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.