International Journal of Radiation Research
نشریه پرتو پژوه
Int J Radiat Res
Basic Sciences
http://ijrr.com
79
journal79
2322-3243
2345-4229
10.61186/ijrr
en
jalali
1402
1
1
gregorian
2023
4
1
21
2
online
1
fulltext
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;"><span style="font-size:10pt"><span style="text-justify:newspaper"><span style="text-kashida-space:50%"><span style="line-height:119%"><span style="font-family:Calibri"><span style="color:black"><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Background</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">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). </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Materials and Methods</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">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 </span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="font-style:italic"><span style="language:en-US">V</span></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US"><sub>5</sub></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">, </span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="font-style:italic"><span style="language:en-US">V</span></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US"><sub>10</sub></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">, </span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="font-style:italic"><span style="language:en-US">V</span></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US"><sub>15</sub></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">, and</span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="font-style:italic"><span style="language:en-US"> V</span></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US"><sub>20 </sub></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">of the lungs were assessed. The absolute irradiation dose deviation (ADD) and dose percentage deviation (DPD) for OAR were evaluated.</span></span></span> <span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Results</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US"> The DSC for each OAR was higher than 0.77. The dosimetric difference between manual and auto-segmentation was small and not significant (</span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="font-style:italic"><span style="language:en-US">p</span></span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">>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%. </span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-style:italic"><span style="font-weight:bold"><span style="language:en-US">Conclusion</span></span></span></span></span></span><span lang="en-US" style="font-size:9.0pt"><span style="font-family:Calibri"><span style="color:#1f497d"><span style="font-weight:bold"><span style="language:en-US">:</span></span></span></span></span> <span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">T</span></span></span><span lang="en-US" style="font-family:Calibri"><span style="color:black"><span style="language:en-US">he accuracy of the auto-segmented OAR for early peripheral NSCLC was acceptable based on AI Contour.</span></span></span></span></span></span></span></span></span></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