A real-time contouring feedback tool for consensus-based contour training
نویسندگان
چکیده
Purpose Variability in contouring structures of interest for radiotherapy continues to be challenging. Although training can reduce such variability, having radiation oncologists provide feedback impractical. We developed a contour tool real-time trainees, thereby reducing variability contouring. Methods novel metric termed localized signed square distance (LSSD) the trainee on how their compares with reference contour, which is generated by combining and multiple expert oncologist contours. Nine trainees performed using six randomly assigned cases that included one test case heart left ventricle (LV). The was repeated 30 days later assess retention. distribution LSSD maps initial combined compared final contours all cases. difference standard deviations from maps, ΔLSSD, computed both per-case basis entire group. Results For every case, statistically significant ΔLSSD were observed LV. When aggregated cases, before training, mean ([range], deviation) –0.8 mm ([–37.9, 34.9], 4.2) 0.3 ([–25.1, 32.7], 4.8) LV, respectively. These reduced –0.1 ([–16.2, 7.3], 0.8) 0.1 ([–6.6, 8.3], 0.7) during sessions. retention –1.5 ([–22.9, 19.9], 3.4) –0.2 ([–4.5, 1.5], 1.8 ([–16.7, 34.5], 5.1) 0.2 ([-3.9, 1.6],0.7) Conclusions A uses successfully used nine trainees. In utility able guide ultimately trainee’s
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ژورنال
عنوان ژورنال: Frontiers in Oncology
سال: 2023
ISSN: ['2234-943X']
DOI: https://doi.org/10.3389/fonc.2023.1204323