The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy
PurposeOur purpose was to investigate the influence of atlas library size and CT cross-slice number on the accuracy and efficiency of the atlas-based auto-segmentation (ABAS) method for the automatic contouring of clinical treatment volume (CTV) and organs at risk (OARs) during cervical cancer radio...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Oncology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.945053/full |
| _version_ | 1818013713163091968 |
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| author | Yi Li Wenjing Wu Yuchen Sun Dequan Yu Yuemei Zhang Long Wang Yao Wang Xiaozhi Zhang Yongkai Lu |
| author_facet | Yi Li Wenjing Wu Yuchen Sun Dequan Yu Yuemei Zhang Long Wang Yao Wang Xiaozhi Zhang Yongkai Lu |
| author_sort | Yi Li |
| collection | DOAJ |
| description | PurposeOur purpose was to investigate the influence of atlas library size and CT cross-slice number on the accuracy and efficiency of the atlas-based auto-segmentation (ABAS) method for the automatic contouring of clinical treatment volume (CTV) and organs at risk (OARs) during cervical cancer radiotherapy.MethodsOf 140 cervical cancer patients, contours from 20, 40, 60, 80, 100, and 120 patients were selected incrementally to create six atlas library groups in ABAS. Another 20 tested patients were automatically contoured with the ABAS method and manually contoured by the same professional oncologist. Contours included CTV, bladder, rectum, femoral head-L, femoral head-R, and spinal cord. The CT cross-slice numbers of the 20 tested patients included 61, 65, 72, 75, 81, and 84. The index of dice similarity coefficients (DSCs) and Hausdorff distance (HD) were used to assess the consistency between ABAS automatic contouring and manual contouring. The randomized block analysis of variance and paired t-test were used for statistical analysis.ResultsThe mean DSC values of “CTV, bladder, femoral head, and spinal cord” were all larger than 0.8. The femoral head and spinal cord showed a high degree of agreement between ABAS automatic contouring and manual contouring, with a mean DC >0.80 and HD <1 cm in all atlas library groups. A post-hoc least significant difference comparison indicated that no significant difference had been found between different atlas library sizes with DSC and HD values. For ABAS efficiency, the atlas library size had no effect on the time of ABAS automatic contouring. The time of automatic contouring increased slightly with the increase in CT cross-slice numbers, which were 99.9, 106.8, 114.0, 120.6, 127.9, and 134.8 s with CT cross-slices of 61, 65, 72, 75, 81, and 84, respectively.ConclusionA total of 20 atlas library sizes and a minimum CT cross-slice number including CTV and OARs are enough for ensuring the accuracy and efficiency of ABAS automatic contouring during cervical cancer radiotherapy. |
| first_indexed | 2024-04-14T06:36:41Z |
| format | Article |
| id | doaj.art-af90a8675d8543b69833170ddd9b3eef |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-04-14T06:36:41Z |
| publishDate | 2022-08-01 |
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| record_format | Article |
| series | Frontiers in Oncology |
| spelling | doaj.art-af90a8675d8543b69833170ddd9b3eef2022-12-22T02:07:27ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-08-011210.3389/fonc.2022.945053945053The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapyYi Li0Wenjing Wu1Yuchen Sun2Dequan Yu3Yuemei Zhang4Long Wang5Yao Wang6Xiaozhi Zhang7Yongkai Lu8Department of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiological Health, Xi’an Center for Disease Control and Prevention, Xi’an, ChinaDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiation Oncology, Tangdu Hospital, the Second Affiliated Hospital of Air Force Medical University, Xi’an, ChinaDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaDepartment of Radiation Oncology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, ChinaPurposeOur purpose was to investigate the influence of atlas library size and CT cross-slice number on the accuracy and efficiency of the atlas-based auto-segmentation (ABAS) method for the automatic contouring of clinical treatment volume (CTV) and organs at risk (OARs) during cervical cancer radiotherapy.MethodsOf 140 cervical cancer patients, contours from 20, 40, 60, 80, 100, and 120 patients were selected incrementally to create six atlas library groups in ABAS. Another 20 tested patients were automatically contoured with the ABAS method and manually contoured by the same professional oncologist. Contours included CTV, bladder, rectum, femoral head-L, femoral head-R, and spinal cord. The CT cross-slice numbers of the 20 tested patients included 61, 65, 72, 75, 81, and 84. The index of dice similarity coefficients (DSCs) and Hausdorff distance (HD) were used to assess the consistency between ABAS automatic contouring and manual contouring. The randomized block analysis of variance and paired t-test were used for statistical analysis.ResultsThe mean DSC values of “CTV, bladder, femoral head, and spinal cord” were all larger than 0.8. The femoral head and spinal cord showed a high degree of agreement between ABAS automatic contouring and manual contouring, with a mean DC >0.80 and HD <1 cm in all atlas library groups. A post-hoc least significant difference comparison indicated that no significant difference had been found between different atlas library sizes with DSC and HD values. For ABAS efficiency, the atlas library size had no effect on the time of ABAS automatic contouring. The time of automatic contouring increased slightly with the increase in CT cross-slice numbers, which were 99.9, 106.8, 114.0, 120.6, 127.9, and 134.8 s with CT cross-slices of 61, 65, 72, 75, 81, and 84, respectively.ConclusionA total of 20 atlas library sizes and a minimum CT cross-slice number including CTV and OARs are enough for ensuring the accuracy and efficiency of ABAS automatic contouring during cervical cancer radiotherapy.https://www.frontiersin.org/articles/10.3389/fonc.2022.945053/fullatlasauto-segmentationautomatic contouringcervical cancerradiotherapy |
| spellingShingle | Yi Li Wenjing Wu Yuchen Sun Dequan Yu Yuemei Zhang Long Wang Yao Wang Xiaozhi Zhang Yongkai Lu The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy Frontiers in Oncology atlas auto-segmentation automatic contouring cervical cancer radiotherapy |
| title | The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy |
| title_full | The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy |
| title_fullStr | The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy |
| title_full_unstemmed | The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy |
| title_short | The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy |
| title_sort | clinical evaluation of atlas based auto segmentation for automatic contouring during cervical cancer radiotherapy |
| topic | atlas auto-segmentation automatic contouring cervical cancer radiotherapy |
| url | https://www.frontiersin.org/articles/10.3389/fonc.2022.945053/full |
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