Literature DB >> 25223330

Automatic segmentation of the heart in radiotherapy for breast cancer.

Ebbe L Lorenzen1, Marianne Ewertz, Carsten Brink.   

Abstract

BACKGROUND: The aim of this study was to evaluate two fully automatic segmentation methods in comparison with manual delineations for their use in delineating the heart on planning computed tomography (CT) used in radiotherapy for breast cancer.
MATERIAL AND METHODS: Automatic delineation of heart in 15 breast cancer patients was performed by two different automatic delineation systems. Analysis of accuracy and precision of the differences between manual and automatic delineations were evaluated on volume, mean dose, maximum dose and spatial distance differences. Two sets of manual delineations were used in the evaluation: 1) a set prior to common delineation guidelines; and 2) a second set repeated with a common set of guidelines.
RESULTS: Systematic differences between automatic and manual delineations were small for volume as well as dose. The uncertainty of the difference in volume was smaller than or similar to the inter-observer variation in manual delineations. For dose, the uncertainty was similar to manual delineations performed without common guidelines but slightly higher than the variation in manual delineations with common guidelines. Spatial differences between average manual and automatic delineations were largest at the base of the heart, where also large variations are observed in the manual delineations. Both algorithms could be improved slightly at the apex of the heart where the variation of automatic delineation was larger than for the manual delineations.
CONCLUSION: Automatic delineation is an equal alternative to manual delineation when compared to the inter-observer variation. The reduction in precision of measured dose was small compared to other uncertainties affecting the estimated heart dose and would for most applications be outweighed by the benefits of fully automated delineations.

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Year:  2014        PMID: 25223330     DOI: 10.3109/0284186X.2014.930170

Source DB:  PubMed          Journal:  Acta Oncol        ISSN: 0284-186X            Impact factor:   4.089


  3 in total

1.  Dosimetric assessment of an Atlas based automated segmentation for loco-regional radiation therapy of early breast cancer in the Skagen Trial 1: A multi-institutional study.

Authors:  Ahmed R Eldesoky; Giulio Francolini; Mette S Thomsen; Esben S Yates; Tine B Nyeng; Carine Kirkove; Claus Kamby; Egil S Blix; Mette H Nielsen; Zahra Taheri-Kadkhoda; Martin Berg; Birgitte V Offersen
Journal:  Clin Transl Radiat Oncol       Date:  2017-02-06

2.  Atlas Sampling for Prone Breast Automatic Segmentation of Organs at Risk: The Importance of Patients' Body Mass Index and Breast Cup Size for an Optimized Contouring of the Heart and the Coronary Vessels.

Authors:  Xinzhuo Wang; Raymond Miralbell; Odile Fargier-Bochaton; Shelley Bulling; Jean Paul Vallée; Giovanna Dipasquale
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec

3.  Uncertainties in estimating heart doses from 2D-tangential breast cancer radiotherapy.

Authors:  Ebbe L Lorenzen; Carsten Brink; Carolyn W Taylor; Sarah C Darby; Marianne Ewertz
Journal:  Radiother Oncol       Date:  2016-02-27       Impact factor: 6.280

  3 in total

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