International Journal of Radiation Research

en Investigating geometric and dosimetric accuracy of auto-segmentation contours in stereotactic body radiation therapy for early peripheral non-small cell lung cancer Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: The geometric and dosimetric accuracy of auto-segmentation OAR are of key importance for radiation oncologists who use auto-segmentation instead of manual segmentation. This study investigates the geometric and dosimetric accuracy of auto-segmentation OAR for early peripheral NSCLC using an artificial intelligence cloud online platform (AI Contour). Materials and Methods: AI Contour was used to perform the contour segmentation of OAR on twenty patients with early peripheral NSCLC, to evaluate geometric and dosimetric accuracies. Manual segmentation and auto-segmentation were performed to depict the outlines of the heart, lung, trachea, esophagus, and spinal cord. For geometric accuracy, the authors acquired and compared the Dice similarity coefficient, Jaccard coefficient, Hausdorf distance, Center of mass deviation, Inclusive index, and Sensitivity index. For dosimetric accuracy, the dose statistical differences between manual- and auto-segmentation were analyzed. The absolute irradiation volume deviation (AVD) and volume percentage deviation (VPD) for the V5, V10, V15, and V20 of the lungs were assessed. The absolute irradiation dose deviation (ADD) and dose percentage deviation (DPD) for OAR were evaluated. Results: The DSC for each OAR was higher than 0.77. The dosimetric difference between manual and auto-segmentation was small and not significant (p>0.05). For the lung, the AVD was less than 7 mL, the VPD was less than 3%, the ADD of OAR was at most 0.4 Gy, and the DPD was less than 4%. Conclusion: The accuracy of the auto-segmented OAR for early peripheral NSCLC was acceptable based on AI Contour.</div> Artificial intelligence cloud, auto-segmentation, early peripheral NSCLC, SBRT. 195 201 http://ijrr.com/browse.php?a_code=A-10-1-1028&slc_lang=en&sid=1 Z. Chen chenziyin1020@outlook.com 7900319475328460023460 7900319475328460023460 No Department of Radiation Therapy, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China X. Lv 7900319475328460023461 7900319475328460023461 No Department of Radiation Oncology, the First Affiliated Hospital of Jiamusi University, Jiamusi, Heilongjiang 154003, China Y. Bai 7900319475328460023462 7900319475328460023462 No Department of Radiation Therapy, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China L. Xu 7900319475328460023463 7900319475328460023463 No Department of Radiation Therapy, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang 150001, China W. Shao wenchengshao@outlook.com 7900319475328460023464 7900319475328460023464 No Department of Radiation Physics, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, China