Literature DB >> 24273627

Automatic contouring of brachial plexus using a multi-atlas approach for lung cancer radiotherapy.

Jinzhong Yang1, Arya Amini, Ryan Williamson, Lifei Zhang, Yongbin Zhang, Ritsuko Komaki, Zhongxing Liao, James Cox, James Welsh, Laurence Court, Lei Dong.   

Abstract

PURPOSE: To demonstrate a multi-atlas segmentation approach to facilitating accurate and consistent delineation of low-contrast brachial plexuses on CT images for lung cancer radiotherapy.
MATERIALS AND METHODS: We retrospectively identified 90 lung cancer patients with treatment volumes near the brachial plexus. Ten representative patients were selected to form an atlas group, and their brachial plexuses were delineated manually. We used deformable image registration to map each atlas brachial plexus to the remaining 80 patients. In each patient, a composite contour was created from 10 individual segmentations using the Simultaneous Truth and Performance Level Estimation (STAPLE) algorithm. This auto-delineated contour was reviewed and modified appropriately for each patient. We also performed 10 leave-one-out tests using the 10 atlases to validate the segmentation accuracy and demonstrate the contouring consistency using multi-atlas segmentation.
RESULTS: The multi-atlas segmentation took less than 2 minutes to complete. Contour modification took 5 minutes compared with 20 minutes for manual contouring from scratch. The multi-atlas segmentation from the 10 leave-one-out tests had a mean 3D volume overlap of 59.2% ± 8.2% and a mean 3D surface distance of 2.4 mm ± 0.5 mm. The distances between the individual and average contours in the 10 leave-one-out tests demonstrated much better contouring consistency for modified contours than for manual contours. The auto-segmented contours did not require substantial modification, demonstrated by the good agreement between the modified and auto-segmented contours in the 80 patients. Dose volume histograms of auto-segmented and modified contours were also in good agreement, showing that editing auto-segmented contours is clinically acceptable in view of the dosimetric impact.
CONCLUSIONS: Multi-atlas segmentation greatly reduced contouring time and improved contouring consistency. Editing auto-segmented contours to delineate the brachial plexus proved to be a better clinical practice than manually contouring from scratch.

Entities:  

Keywords:  STAPLE; brachial plexus; deformable image registration; multi-atlas segmentation

Year:  2013        PMID: 24273627      PMCID: PMC3833708          DOI: 10.1016/j.prro.2013.01.002

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  18 in total

1.  Evaluation of multiple-atlas-based strategies for segmentation of the thyroid gland in head and neck CT images for IMRT.

Authors:  A Chen; K J Niermann; M A Deeley; B M Dawant
Journal:  Phys Med Biol       Date:  2011-11-29       Impact factor: 3.609

2.  Label fusion in atlas-based segmentation using a selective and iterative method for performance level estimation (SIMPLE).

Authors:  Thomas Robin Langerak; Uulke A van der Heide; Alexis N T J Kotte; Max A Viergever; Marco van Vulpen; Josien P W Pluim
Journal:  IEEE Trans Med Imaging       Date:  2010-07-26       Impact factor: 10.048

3.  Dose constraints to prevent radiation-induced brachial plexopathy in patients treated for lung cancer.

Authors:  Arya Amini; Jinzhong Yang; Ryan Williamson; Michelle L McBurney; Jeremy Erasmus; Pamela K Allen; Mandar Karhade; Ritsuko Komaki; Zhongxing Liao; Daniel Gomez; James Cox; Lei Dong; James Welsh
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-03-01       Impact factor: 7.038

4.  Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy.

Authors:  He Wang; Lei Dong; Ming Fwu Lii; Andrew L Lee; Renaud de Crevoisier; Radhe Mohan; James D Cox; Deborah A Kuban; Rex Cheung
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-03-01       Impact factor: 7.038

5.  Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy.

Authors:  P Aljabar; R A Heckemann; A Hammers; J V Hajnal; D Rueckert
Journal:  Neuroimage       Date:  2009-02-23       Impact factor: 6.556

6.  Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.

Authors:  Stefan Klein; Uulke A van der Heide; Irene M Lips; Marco van Vulpen; Marius Staring; Josien P W Pluim
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

7.  Automatic segmentation of whole breast using atlas approach and deformable image registration.

Authors:  Valerie K Reed; Wendy A Woodward; Lifei Zhang; Eric A Strom; George H Perkins; Welela Tereffe; Julia L Oh; T Kuan Yu; Isabelle Bedrosian; Gary J Whitman; Thomas A Buchholz; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-09-17       Impact factor: 7.038

8.  Validating the RTOG-endorsed brachial plexus contouring atlas: an evaluation of reproducibility among patients treated by intensity-modulated radiotherapy for head-and-neck cancer.

Authors:  Sun K Yi; William H Hall; Mathew Mathai; Arthur B Dublin; Vishal Gupta; James A Purdy; Allen M Chen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-04-30       Impact factor: 7.038

9.  Brachial plexopathy in apical non-small cell lung cancer treated with definitive radiation: dosimetric analysis and clinical implications.

Authors:  Michael J Eblan; Michael N Corradetti; J Nicholas Lukens; Eric Xanthopoulos; Nandita Mitra; John P Christodouleas; Surbhi Grover; Annemarie T Fernandes; Corey J Langer; Tracey L Evans; James Stevenson; Ramesh Rengan; Smith Apisarnthanarax
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-06-01       Impact factor: 7.038

10.  Assessment of consistency in contouring of normal-tissue anatomic structures.

Authors:  Dawn C Collier; Stuart S C Burnett; Mayankkumar Amin; Stephen Bilton; Christopher Brooks; Amanda Ryan; Dominique Roniger; Danny Tran; George Starkschall
Journal:  J Appl Clin Med Phys       Date:  2003       Impact factor: 2.102

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  4 in total

1.  Statistical modeling approach to quantitative analysis of interobserver variability in breast contouring.

Authors:  Jinzhong Yang; Wendy A Woodward; Valerie K Reed; Eric A Strom; George H Perkins; Welela Tereffe; Thomas A Buchholz; Lifei Zhang; Peter Balter; Laurence E Court; X Allen Li; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2014-03-07       Impact factor: 7.038

2.  Clinical implementation of deep learning contour autosegmentation for prostate radiotherapy.

Authors:  Elaine Cha; Sharif Elguindi; Ifeanyirochukwu Onochie; Daniel Gorovets; Joseph O Deasy; Michael Zelefsky; Erin F Gillespie
Journal:  Radiother Oncol       Date:  2021-03-03       Impact factor: 6.901

3.  Retrospective Validation and Clinical Implementation of Automated Contouring of Organs at Risk in the Head and Neck: A Step Toward Automated Radiation Treatment Planning for Low- and Middle-Income Countries.

Authors:  Rachel E McCarroll; Beth M Beadle; Peter A Balter; Hester Burger; Carlos E Cardenas; Sameera Dalvie; David S Followill; Kelly D Kisling; Michael Mejia; Komeela Naidoo; Chris L Nelson; Christine B Peterson; Karin Vorster; Julie Wetter; Lifei Zhang; Laurence E Court; Jinzhong Yang
Journal:  J Glob Oncol       Date:  2018-07

4.  Multiatlas segmentation of thoracic and abdominal anatomy with level set-based local search.

Authors:  Eduard Schreibmann; David M Marcus; Tim Fox
Journal:  J Appl Clin Med Phys       Date:  2014-07-08       Impact factor: 2.102

  4 in total

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