Literature DB >> 31926750

The Stacked-Ellipse Algorithm: An Ultrasound-Based 3-D Uterine Segmentation Tool for Enabling Adaptive Radiotherapy for Uterine Cervix Cancer.

Sarah A Mason1, Ingrid M White2, Susan Lalondrelle2, Jeffrey C Bamber1, Emma J Harris3.   

Abstract

The stacked-ellipse (SE) algorithm was developed to rapidly segment the uterus on 3-D ultrasound (US) for the purpose of enabling US-guided adaptive radiotherapy (RT) for uterine cervix cancer patients. The algorithm was initialised manually on a single sagittal slice to provide a series of elliptical initialisation contours in semi-axial planes along the uterus. The elliptical initialisation contours were deformed according to US features such that they conformed to the uterine boundary. The uterus of 15 patients was scanned with 3-D US using the Clarity System (Elekta Ltd.) at multiple days during RT and manually contoured (n = 49 images and corresponding contours). The median (interquartile range) Dice similarity coefficient and mean surface-to-surface-distance between the SE algorithm and manual contours were 0.80 (0.03) and 3.3 (0.2) mm, respectively, which are within the ranges of reported inter-observer contouring variabilities. The SE algorithm could be implemented in adaptive RT to precisely segment the uterus on 3-D US.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  3-D ultrasound; Image-guided radiotherapy; Segmentation; Ultrasound-guided radiotherapy; Uterine cervix cancer; Uterus

Year:  2020        PMID: 31926750      PMCID: PMC7043010          DOI: 10.1016/j.ultrasmedbio.2019.09.001

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  20 in total

1.  Individualized nonadaptive and online-adaptive intensity-modulated radiotherapy treatment strategies for cervical cancer patients based on pretreatment acquired variable bladder filling computed tomography scans.

Authors:  M L Bondar; M S Hoogeman; J W Mens; S Quint; R Ahmad; G Dhawtal; B J Heijmen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-01-21       Impact factor: 7.038

2.  The segmentation of the left ventricle of the heart from ultrasound data using deep learning architectures and derivative-based search methods.

Authors:  Gustavo Carneiro; Jacinto C Nascimento; António Freitas
Journal:  IEEE Trans Image Process       Date:  2011-09-23       Impact factor: 10.856

3.  Integrating diagnostic B-mode ultrasonography into CT-based radiation treatment planning.

Authors:  Wolfgang Wein; Barbara Röper; Nassir Navab
Journal:  IEEE Trans Med Imaging       Date:  2007-06       Impact factor: 10.048

Review 4.  A systematic review of organ motion and image-guided strategies in external beam radiotherapy for cervical cancer.

Authors:  R Jadon; C A Pembroke; C L Hanna; N Palaniappan; M Evans; A E Cleves; J Staffurth
Journal:  Clin Oncol (R Coll Radiol)       Date:  2014-02-22       Impact factor: 4.126

5.  Towards automatic plan selection for radiotherapy of cervical cancer by fast automatic segmentation of cone beam CT scans.

Authors:  Thomas Langerak; Sabrina Heijkoop; Sandra Quint; Jan-Willem Mens; Ben Heijmen; Mischa Hoogeman
Journal:  Med Image Comput Comput Assist Interv       Date:  2014

Review 6.  Review of ultrasound image guidance in external beam radiotherapy: I. Treatment planning and inter-fraction motion management.

Authors:  Davide Fontanarosa; Skadi van der Meer; Jeffrey Bamber; Emma Harris; Tuathan O'Shea; Frank Verhaegen
Journal:  Phys Med Biol       Date:  2015-01-16       Impact factor: 3.609

7.  Automatic 3D Segmentation of Ultrasound Images Using Atlas Registration and Statistical Texture Prior.

Authors:  Xiaofeng Yang; David Schuster; Viraj Master; Peter Nieh; Aaron Fenster; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-01

8.  Volumetric imaging by megavoltage computed tomography for assessment of internal organ motion during radiotherapy for cervical cancer.

Authors:  Christine Collen; Benedikt Engels; Michael Duchateau; Koen Tournel; Mark De Ridder; Samuel Bral; Dirk Verellen; Guy Storme
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-04-06       Impact factor: 7.038

9.  Inter- and intrafractional tumor and organ movement in patients with cervical cancer undergoing radiotherapy: a cinematic-MRI point-of-interest study.

Authors:  Philip Chan; Robert Dinniwell; Masoom A Haider; Young-Bin Cho; David Jaffray; Gina Lockwood; Wilfred Levin; Lee Manchul; Anthony Fyles; Michael Milosevic
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-12-31       Impact factor: 7.038

10.  Towards ultrasound-guided adaptive radiotherapy for cervical cancer: Evaluation of Elekta's semiautomated uterine segmentation method on 3D ultrasound images.

Authors:  Sarah A Mason; Tuathan P O'Shea; Ingrid M White; Susan Lalondrelle; Kate Downey; Mariwan Baker; Claus F Behrens; Jeffrey C Bamber; Emma J Harris
Journal:  Med Phys       Date:  2017-06-16       Impact factor: 4.071

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