ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy
There has been a recent effort to treat high-risk ventricular tachycardia (VT) patients through radio-ablation. However, manual segmentation of the VT target is complex and time-consuming. This work introduces ASSET, or Auto-segmentation of the Seventeen SEgments for Tachycardia ablation, to aid in...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-08-01
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| Series: | Cancers |
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| Online Access: | https://www.mdpi.com/2072-6694/15/16/4062 |
| _version_ | 1797585279481020416 |
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| author | Eric Morris Robert Chin Trudy Wu Clayton Smith Siamak Nejad-Davarani Minsong Cao |
| author_facet | Eric Morris Robert Chin Trudy Wu Clayton Smith Siamak Nejad-Davarani Minsong Cao |
| author_sort | Eric Morris |
| collection | DOAJ |
| description | There has been a recent effort to treat high-risk ventricular tachycardia (VT) patients through radio-ablation. However, manual segmentation of the VT target is complex and time-consuming. This work introduces ASSET, or Auto-segmentation of the Seventeen SEgments for Tachycardia ablation, to aid in radiation therapy (RT) planning. ASSET was retrospectively applied to CTs for 26 thoracic RT patients (13 undergoing VT ablation). The physician-defined parasternal long-axis of the left ventricle (LV) and the axes generated from principal component analysis (PCA) were compared using mean distance to agreement (MDA) and angle of separation. The manually selected right ventricle insertion point and LVs were used to apply the ASSET model to automatically generate the 17 segments of the LV myocardium (LVM). Physician-defined parasternal long-axis differed from PCA by 1.2 ± 0.3 mm MDA and 6.9 ± 0.7 degrees. Segments differed by 0.69 ± 0.29 mm MDA and 0.89 ± 0.03 Dice similarity coefficient. Running ASSET takes <5 min where manual segmentation took >2 h/patient. Agreement between ASSET and expert contours was comparable to inter-observer variability. Qualitative scoring conducted by three experts revealed automatically generated segmentations were clinically useable as-is. ASSET offers efficient and reliable automatic segmentations for the 17 segments of the LVM for target generation in RT planning. |
| first_indexed | 2024-03-11T00:03:54Z |
| format | Article |
| id | doaj.art-e2dd28ac40d145d8890302d65af315c0 |
| institution | Directory Open Access Journal |
| issn | 2072-6694 |
| language | English |
| last_indexed | 2024-03-11T00:03:54Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cancers |
| spelling | doaj.art-e2dd28ac40d145d8890302d65af315c02023-11-19T00:32:39ZengMDPI AGCancers2072-66942023-08-011516406210.3390/cancers15164062ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation TherapyEric Morris0Robert Chin1Trudy Wu2Clayton Smith3Siamak Nejad-Davarani4Minsong Cao5Department of Radiation Oncology, Washington University, St. Louis, MO 63110, USADepartment of Radiation Oncology, UCLA Health, Los Angeles, CA 90095, USADepartment of Radiation Oncology, UCLA Health, Los Angeles, CA 90095, USADepartment of Radiation Oncology, UCLA Health, Los Angeles, CA 90095, USADepartment of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USADepartment of Radiation Oncology, UCLA Health, Los Angeles, CA 90095, USAThere has been a recent effort to treat high-risk ventricular tachycardia (VT) patients through radio-ablation. However, manual segmentation of the VT target is complex and time-consuming. This work introduces ASSET, or Auto-segmentation of the Seventeen SEgments for Tachycardia ablation, to aid in radiation therapy (RT) planning. ASSET was retrospectively applied to CTs for 26 thoracic RT patients (13 undergoing VT ablation). The physician-defined parasternal long-axis of the left ventricle (LV) and the axes generated from principal component analysis (PCA) were compared using mean distance to agreement (MDA) and angle of separation. The manually selected right ventricle insertion point and LVs were used to apply the ASSET model to automatically generate the 17 segments of the LV myocardium (LVM). Physician-defined parasternal long-axis differed from PCA by 1.2 ± 0.3 mm MDA and 6.9 ± 0.7 degrees. Segments differed by 0.69 ± 0.29 mm MDA and 0.89 ± 0.03 Dice similarity coefficient. Running ASSET takes <5 min where manual segmentation took >2 h/patient. Agreement between ASSET and expert contours was comparable to inter-observer variability. Qualitative scoring conducted by three experts revealed automatically generated segmentations were clinically useable as-is. ASSET offers efficient and reliable automatic segmentations for the 17 segments of the LVM for target generation in RT planning.https://www.mdpi.com/2072-6694/15/16/4062radiation therapycardiac ablationventricular tachycardiaautomatic segmentation |
| spellingShingle | Eric Morris Robert Chin Trudy Wu Clayton Smith Siamak Nejad-Davarani Minsong Cao ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy Cancers radiation therapy cardiac ablation ventricular tachycardia automatic segmentation |
| title | ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy |
| title_full | ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy |
| title_fullStr | ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy |
| title_full_unstemmed | ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy |
| title_short | ASSET: Auto-Segmentation of the Seventeen SEgments for Ventricular Tachycardia Ablation in Radiation Therapy |
| title_sort | asset auto segmentation of the seventeen segments for ventricular tachycardia ablation in radiation therapy |
| topic | radiation therapy cardiac ablation ventricular tachycardia automatic segmentation |
| url | https://www.mdpi.com/2072-6694/15/16/4062 |
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