Evaluation of an Atlas-Based Segmentation Method for High-Risk Prostate Cancer With RTOG-Defined Pelvic Lymph Node Levels

Patel, Ravi; Bryan, T.; Kaminsky, Deborah A.; Pirozzi, Sara; Nelson, Aaron; Piper, Jonathan; Lu, Maio lu; Machtay, Mitchell; Ellis, Rodney J.

doi:10.1016/j.ijrobp.2014.05.450

Cited by 4 publications

(3 citation statements)

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“…The share of studies that reported lower DSC values compared to ours was 13/19 (bladder), 15/19 (rectum), 9/11 (femurs). For pelvic nodes, we found only other two studies which reported mean DSC 0.74 27 and 0.71, 28 while we obtained a mean DSC of 0.85. Obviously, DSC values depend on the reference and cannot be considered an absolute measure of contour accuracy.…”

Section: Discussioncontrasting

confidence: 70%

Clinical validation of an automatic atlas‐based segmentation tool for male pelvis CT images

Casati

Piffer

Calusi

et al. 2022

J Applied Clin Med Phys

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This retrospective work aims to evaluate the possible impact on intraand inter-observer variability, contouring time, and contour accuracy of introducing a pelvis computed tomography (CT) auto-segmentation tool in radiotherapy planning workflow. Methods: Tests were carried out on five structures (bladder, rectum, pelvic lymph-nodes, and femoral heads) of six previously treated subjects, enrolling five radiation oncologists (ROs) to manually re-contour and edit auto-contours generated with a male pelvis CT atlas created with the commercial software MIM MAESTRO. The ROs first delineated manual contours (M). Then they modified the auto-contours, producing automatic-modified (AM) contours. The procedure was repeated to evaluate intra-observer variability, producing M1, M2, AM1, and AM2 contour sets (each comprising 5 structures × 6 test patients × 5 ROs = 150 contours), for a total of 600 contours. Potential time savings was evaluated by comparing contouring and editing times. Structure contours were compared to a reference standard by means of Dice similarity coefficient (DSC) and mean distance to agreement (MDA), to assess intra-and inter-observer variability. To exclude any automation bias, ROs evaluated both M and AM sets as "clinically acceptable" or "to be corrected" in a blind test. Results: Comparing AM to M sets, a significant reduction of both inter-observer variability (p < 0.001) and contouring time (-45% whole pelvis, p < 0.001) was obtained. Intra-observer variability reduction was significant only for bladder and femoral heads (p < 0.001). The statistical test showed no significant bias. Conclusion: Our atlas-based workflow proved to be effective for clinical practice as it can improve contour reproducibility and generate time savings. Based on these findings, institutions are encouraged to implement their autosegmentation method.

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Section: Discussioncontrasting

confidence: 70%

Clinical validation of an automatic atlas‐based segmentation tool for male pelvis CT images

Casati

Piffer

Calusi

et al. 2022

J Applied Clin Med Phys

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“…10, our results are approximatively compared to those found in literature. 3,11,19,[22][23][24]26,29,30,32,41 Our results are satisfactory when compared to many atlas-based studies and are comparable to those based on deep learning. 3,19 Of note, few studies in literature include PLN in the atlas and this is an added value of our study.…”

Section: Automatic Reg Refine (Arr) Optionsupporting

confidence: 55%

“…Original manual contours of pelvic lymph nodes (PLN), rectum, bladder, and femurs, used for treatment planning, were reviewed for consistency by a senior consultant radiation oncologist with 15 yr of experience, according to RTOG criteria and Taylor et al guidelines 28 for PLN, before adding them to the atlas. Prostate was not contoured as previous studies, 26,29,30 demonstrated that atlas based on CT image segmentation resulted in suboptimal prostate contours. In case of prostate, better results can be achieved using atlases based on MRI images, 31 or using deep learning 3,19,32 …”

Section: Methodsmentioning

confidence: 99%

Methodological approach to create an atlas using a commercial auto‐contouring software

Casati

Piffer

Calusi

et al. 2020

J Applied Clin Med Phys

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The aim of this work was to establish a methodological approach for creation and optimization of an atlas for auto-contouring, using the commercial software MIM MAESTRO (MIM Software Inc. Cleveland OH). Methods: A computed tomography (CT) male pelvis atlas was created and optimized to evaluate how different tools and options impact on the accuracy of automatic segmentation. Pelvic lymph nodes (PLN), rectum, bladder, and femurs of 55 subjects were reviewed for consistency by a senior consultant radiation oncologist with 15 yr of experience. Several atlas and workflow options were tuned to optimize the accuracy of auto-contours. The deformable image registration (DIR), the finalization method, the k number of atlas best matching subjects, and several postprocessing options were studied. To test our atlas performances, automatic and reference manual contours of 20 test subjects were statistically compared based on dice similarity coefficient (DSC) and mean distance to agreement (MDA) indices. The effect of field of view (FOV) reduction on auto-contouring time was also investigated. Results: With the optimized atlas and workflow, DSC and MDA median values of bladder, rectum, PLN, and femurs were 0.91 and 1.6 mm, 0.85 and 1.6 mm, 0.85 and 1.8 mm, and 0.96 and 0.5 mm, respectively. Auto-contouring time was more than halved by strictly cropping the FOV of the subject to be contoured to the pelvic region. Conclusion: A statistically significant improvement of auto-contours accuracy was obtained using our atlas and optimized workflow instead of the MIM Software pelvic atlas.

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Comparison of commercial atlas-based automatic segmentation software for prostate radiotherapy treatment planning

Hizam,

Tan,

Saad

et al. 2024

Phys Eng Sci Med

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Evaluation of an Atlas-Based Segmentation Method for High-Risk Prostate Cancer With RTOG-Defined Pelvic Lymph Node Levels

Cited by 4 publications

References 0 publications

Clinical validation of an automatic atlas‐based segmentation tool for male pelvis CT images

Clinical validation of an automatic atlas‐based segmentation tool for male pelvis CT images

Methodological approach to create an atlas using a commercial auto‐contouring software

Comparison of commercial atlas-based automatic segmentation software for prostate radiotherapy treatment planning

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