Clinical Validation of Atlas-based Auto-contours of Target Tissues and Critical Normal Tissue Structures in the Head &amp; Neck

Levendag, P.; Al‐Mamgani, Abrahim; Teguh, David N.; Voet, P.; Heijmen, B.; Han, Xiao; Hoogeman, M.

doi:10.1016/j.ijrobp.2009.07.1463

Cited by 4 publications

(4 citation statements)

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“…Upon reviewing the publications, the majority investigating time saving reported substantial time reduction of 30-60% using AS compared to MD [1,6,14,23,25]. These results are consistent with earlier studies [17,[29][30][31]. Hu et al [31] reported significant time reduction of 87% for overall structure delineation in oropharynx and nasopharynx cancers.…”

Section: Time Savingsupporting

confidence: 78%

“…Unedited autocontours of normal structures were reported to be usable without negatively affecting plan quality by Tsuji et al [11]. In two studies by Levendag et al [29,30] which also investigated the Table 3. Quality of study assessment using Jadad et al [26] (Assessing the quality of reports of randomized clinical trials: is blinding necessary?…”

Section: Delineation Accuracymentioning

confidence: 99%

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Use of auto-segmentation in the delineation of target volumes and organs at risk in head and neck

Lim

Leech

2016

Acta Oncologica

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The studies demonstrated significant potential of AS as a useful delineation tool in contouring target volumes and OARs in head and neck cancers. However, it is evident that AS cannot totally replace manual delineation in contouring some structures in the head and neck and cannot be used independently without human intervention. It is also emphasized that delineation studies should be conducted locally so as to evaluate the true value of AS in head and neck cancers in a specific center.

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Section: Time Savingsupporting

confidence: 78%

Section: Delineation Accuracymentioning

confidence: 99%

Use of auto-segmentation in the delineation of target volumes and organs at risk in head and neck

Lim

Leech

2016

Acta Oncologica

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“…Due to variations in patient anatomy, especially the bladder and rectum in patients with pelvic malignancy, it could be preferable to run multiple atlases to attain a better result. Utilising ABAS for this group of patients could potentially provide substantial gains in efficiency with improved consistency, as has been reported from studies conducted in the head and neck region and the brain …”

Section: Introductionmentioning

confidence: 94%

“…Utilising ABAS for this group of patients could potentially provide substantial gains in efficiency with improved consistency, as has been reported from studies conducted in the head and neck region and the brain. [6][7][8] The primary goal of the present study was to evaluate the accuracy and clinical applicability of the ABAS software when auto-contouring male pelvic anatomy, specifically for prostate patients. We sought to improve our understanding of the performance and limitations of the ABAS software to help facilitate its introduction into routine clinical use for all prostate patients at our institution.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of atlas‐based auto‐segmentation software in prostate cancer patients

Greenham

Dean

et al. 2014

J of Medical Radiation Sci

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IntroductionThe performance and limitations of an atlas-based auto-segmentation software package (ABAS; Elekta Inc.) was evaluated using male pelvic anatomy as the area of interest.MethodsContours from 10 prostate patients were selected to create atlases in ABAS. The contoured regions of interest were created manually to align with published guidelines and included the prostate, bladder, rectum, femoral heads and external patient contour. Twenty-four clinically treated prostate patients were auto-contoured using a randomised selection of two, four, six, eight or ten atlases. The concordance between the manually drawn and computer-generated contours were evaluated statistically using Pearson's product–moment correlation coefficient (r) and clinically in a validated qualitative evaluation. In the latter evaluation, six radiation therapists classified the degree of agreement for each structure using seven clinically appropriate categories.ResultsThe ABAS software generated clinically acceptable contours for the bladder, rectum, femoral heads and external patient contour. For these structures, ABAS-generated volumes were highly correlated with ‘as treated’ volumes, manually drawn; for four atlases, for example, bladder r = 0.988 (P < 0.001), rectum r = 0.739 (P < 0.001) and left femoral head r = 0.560 (P < 0.001). Poorest results were seen for the prostate (r = 0.401, P < 0.05) (four atlases); however this was attributed to the comparison prostate volume being contoured on magnetic resonance imaging (MRI) rather than computed tomography (CT) data. For all structures, increasing the number of atlases did not consistently improve accuracy.ConclusionsABAS-generated contours are clinically useful for a range of structures in the male pelvis. Clinically appropriate volumes were created, but editing of some contours was inevitably required. The ideal number of atlases to improve generated automatic contours is yet to be determined.

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The evaluation of a deformable image registration segmentation technique for semi-automating internal target volume (ITV) production from 4DCT images of lung stereotactic body radiotherapy (SBRT) patients

Speight

Sykes

Lindsay

et al. 2011

Radiotherapy and Oncology

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Clinical Validation of Atlas-based Auto-contours of Target Tissues and Critical Normal Tissue Structures in the Head & Neck

Cited by 4 publications

References 0 publications

Use of auto-segmentation in the delineation of target volumes and organs at risk in head and neck

Use of auto-segmentation in the delineation of target volumes and organs at risk in head and neck

Evaluation of atlas‐based auto‐segmentation software in prostate cancer patients

The evaluation of a deformable image registration segmentation technique for semi-automating internal target volume (ITV) production from 4DCT images of lung stereotactic body radiotherapy (SBRT) patients

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