Feasibility of CBCT-based target and normal structure delineation in prostate cancer radiotherapy: Multi-observer and image multi-modality study

Lütgendorf‐Caucig, Carola; Fotina, I.; Stock, Markus; Pötter, Richard; Goldner, Gregor; Georg, Dietmar

doi:10.1016/j.radonc.2010.11.016

Cited by 81 publications

(78 citation statements)

References 43 publications

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“…The number of studies reporting on auto-segmentation [7,8], and the inter- [9,10] and intra- [11] observer conformity of volumes is growing. Inadequate definition of the Gross Tumour Volume (GTV) or Clinical Target Volume (CTV) leads to systematic uncertainty which may result in geometric miss of the tumour throughout the course of patient radiation therapy [5].…”

Section: Introductionmentioning

confidence: 99%

A phantom assessment of achievable contouring concordance across multiple treatment planning systems

Pogson

Begg

Jameson

et al. 2015

Radiotherapy and Oncology

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In this paper, the highest level of inter-and intra-observer conformity achievable with different treatment planning systems (TPSs), contouring tools, shapes, and sites have been established for metrics including the Dice similarity coefficient (DICE) 2 AbstractIn this paper, metrics including the Dice similarity coefficient (DICE) and Hausdorff Distance determine the highest level of inter-and intra-observer conformity achievable with different treatment planning systems (TPSs), contouring tools, shapes, and sites. High conformity values, e.g. DICE Breast_Shape =0.99±0.01, are achieved with differing TPSs. Decreasing image resolution decreased contouring conformity.

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Section: Introductionmentioning

confidence: 99%

A phantom assessment of achievable contouring concordance across multiple treatment planning systems

Pogson

Begg

Jameson

et al. 2015

Radiotherapy and Oncology

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“…Some studies evaluated the variability in target volume delineation using descriptive statistics and parameters describing the distribution of volumes and diameters, such as mean, standard deviation, range, and dispersion of the distribution, such as COV [21][22][23][24][25][26][27][28]. The majority of studies deal with approaches that describe the overlapping area between contoured volumes, using metrics, such as CI and DC [22][23][24][26][27][28][29][30][31]. Moreover, when moving to 3D representation, metrics, such as variation of the COM, allow to evaluate the volume displacements in space [27,32,33].…”

Section: Discussionmentioning

confidence: 99%

“…The majority of studies deal with approaches that describe the overlapping area between contoured volumes, using metrics, such as CI and DC [22][23][24][26][27][28][29][30][31]. Moreover, when moving to 3D representation, metrics, such as variation of the COM, allow to evaluate the volume displacements in space [27,32,33].…”

Section: Discussionmentioning

confidence: 99%

Delineation of the larynx as organ at risk in radiotherapy: a contouring course within “Rete Oncologica Piemonte-Valle d’Aosta” network to reduce inter- and intraobserver variability

et al. 2016

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Mean percentage of intersection and DC strongly increased after the course, rising from 57.76 to 93.83 % and from 0.68 to 0.89, respectively. CI enhanced from 0.06 to 0.31. Conclusions This study shows an improvement in larynx definition after the contouring course with lower interobserver variability and major consistency compared to the reference volume. Other specific educational activities may further increase the quality of radiation therapy contouring in this setting.

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“…Its main advantage is to escalate the dose in the target and to minimize its margin for better protection of normal tissues surrounding the planning target volume (PTV). 28,29 …”

Section: Discussionmentioning

confidence: 99%

Influence of the type of imaging on the delineation process during the treatment planning

Jackowiak

Bąk

Kowalik

et al. 2015

Reports of Practical Oncology & Radiotherapy

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a b s t r a c tAim: The aim of this study was to compare the intra-and interobserver contouring variability for structures with density of organ at risk in two types of tomography: kilovoltage computed tomography (KVCT) versus megavoltage computed tomography (MVCT). The intraand interobserver differences were examined on both types of tomography for structures which simulate human tissue or organs. Materials and methods:Six structures with density of the liver, bone, trachea, lung, soft tissue and muscle were created and used. For the measurements, the special water phantom with all structures was designed. To evaluate interobserver variability, five observers delineated the structures in both types of computed tomography (CT).Results: Intraobserver variability was in the range of 1-14% and was the largest for the liver. (51.86 vs. 67.97), the volume on MVCT was smaller than KVCT. The statistically significant differences between observers were observed for structures with density of the liver, bone and soft tissue on KVCT and for the liver, lung and soft tissue on MVCT. For the structures with density of the trachea and muscles, there were no significant differences for both types of tomography.Conclusions: During the contouring process the interobserver and intraobserver contouring uncertainty was larger on MVCT, especially for structures with HU near 80, compared with KVCT.

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Feasibility of CBCT-based target and normal structure delineation in prostate cancer radiotherapy: Multi-observer and image multi-modality study

Cited by 81 publications

References 43 publications

A phantom assessment of achievable contouring concordance across multiple treatment planning systems

A phantom assessment of achievable contouring concordance across multiple treatment planning systems

Delineation of the larynx as organ at risk in radiotherapy: a contouring course within “Rete Oncologica Piemonte-Valle d’Aosta” network to reduce inter- and intraobserver variability

Influence of the type of imaging on the delineation process during the treatment planning

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