Literature DB >> 23336255

Clinical validation of atlas-based auto-segmentation of pelvic volumes and normal tissue in rectal tumors using auto-segmentation computed system.

Maria Antonietta Gambacorta1, Chiara Valentini, Nicola Dinapoli, Luca Boldrini, Nicola Caria, Maria Cristina Barba, Gian Carlo Mattiucci, Danilo Pasini, Bruce Minsky, Vincenzo Valentini.   

Abstract

PURPOSE: To evaluate in two different settings - clinical practice and education/training - the reliability, time efficiency and the ideal sequence of an atlas-based auto-segmentation system in pelvic delineation of locally advanced rectal cancer.
METHODS: Fourteen consecutive patients were selected between October and December 2011. The images of four were used as an atlas and 10 used for validation. Two independent operators participated: a Delineator to contour and a Reviewer to perform an independent check (IC). The CTV, pelvic subsites and organs at risk were contoured in four different sequences. These included A: manual; B: auto-segmentation; C: auto-segmentation + manual revision; and D: manual + auto-segmentation + manual revision. Contouring was performed by the Delineator using the same planning CT. All of them underwent an IC by a Reviewer. The time required for all the contours were recorded and overlapping evaluation was assessed using a Dice coefficient.
RESULTS: In the clinical practice setting there have been 13 minutes time saved between sequences A versus sequences B (from 38 to 25 minutes, p = 0.002), a mean Dice coefficient in favor of sequences A for CTV and all subsites (p = 0.0195). In the educational/training setting there have been 35.2 minutes time saved between sequences C and D 8 (from 73.1 min to 37.9 min, p = 0.002).
CONCLUSION: The preliminary data suggest that the use of an atlas-based auto-contouring system may help improve efficiencies in contouring in the clinical practice setting and could have a tutorial role in the educational/training setting.

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Year:  2013        PMID: 23336255     DOI: 10.3109/0284186X.2012.754989

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


  19 in total

1.  Evaluation and optimization of the parameters used in multiple-atlas-based segmentation of prostate cancers in radiation therapy.

Authors:  Wicger K H Wong; Lucullus H T Leung; Dora L W Kwong
Journal:  Br J Radiol       Date:  2015-11-05       Impact factor: 3.039

2.  The utility of atlas-assisted segmentation in the male pelvis is dependent on the interobserver agreement of the structures segmented.

Authors:  K A Langmack; C Perry; C Sinstead; J Mills; D Saunders
Journal:  Br J Radiol       Date:  2014-08-29       Impact factor: 3.039

3.  Auto-segmentation of the brachial plexus assessed with TaCTICS - a software platform for rapid multiple-metric quantitative evaluation of contours.

Authors:  Musaddiq Awan; Brandon Alan Dyer; Jayashree Kalpathy-Cramer; Eva Bongers; Max Dahele; Jinzhong Yang; Gary V Walker; Nikhil G Thaker; Emma Holliday; Andrew J Bishop; Charles R Thomas; David I Rosenthal; Clifton David Fuller
Journal:  Acta Oncol       Date:  2014-10-03       Impact factor: 4.089

4.  Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma.

Authors:  Robert Poel; Elias Rüfenacht; Ekin Ermis; Michael Müller; Michael K Fix; Daniel M Aebersold; Peter Manser; Mauricio Reyes
Journal:  Radiat Oncol       Date:  2022-10-22       Impact factor: 4.309

5.  Manual versus semiautomatic segmentation of soft-tissue sarcomas on magnetic resonance imaging: evaluation of similarity and comparison of segmentation times.

Authors:  Fernando Carrasco Ferreira Dionisio; Larissa Santos Oliveira; Mateus de Andrade Hernandes; Edgard Eduard Engel; Paulo Mazzoncini de Azevedo-Marques; Marcello Henrique Nogueira-Barbosa
Journal:  Radiol Bras       Date:  2021 May-Jun

6.  Automatic segmentation software in locally advanced rectal cancer: READY (REsearch program in Auto Delineation sYstem)-RECTAL 02: prospective study.

Authors:  Maria A Gambacorta; Luca Boldrini; Chiara Valentini; Nicola Dinapoli; Gian C Mattiucci; Giuditta Chiloiro; Danilo Pasini; Stefania Manfrida; Nicola Caria; Bruce D Minsky; Vincenzo Valentini
Journal:  Oncotarget       Date:  2016-07-05

7.  Pelvic recurrence after definitive surgery for locally advanced rectal cancer: a retrospective investigation of implications for precision radiotherapy field design.

Authors:  Chao Li; Yinju Zhu; Tong Tong; Ye Xu; Yun Guan; Jingwen Wang; Huankun Wang; Ji Zhu
Journal:  Oncotarget       Date:  2017-10-07

8.  Variability of clinical target volume delineation for rectal cancer patients planned for neoadjuvant radiotherapy with the aid of the platform Anatom-e.

Authors:  Pierfrancesco Franco; Francesca Arcadipane; Elisabetta Trino; Elena Gallio; Stefania Martini; Giuseppe Carlo Iorio; Cristina Piva; Francesco Moretto; Maria Grazia Ruo Redda; Roberta Verna; Vassiliki Tseroni; Cristina Bona; Gabriele Pozzi; Christian Fiandra; Riccardo Ragona; Oscar Bertetto; Umberto Ricardi
Journal:  Clin Transl Radiat Oncol       Date:  2018-06-11

9.  Evaluation of atlas-based auto-segmentation software in prostate cancer patients.

Authors:  Stuart Greenham; Jenna Dean; Cheuk Kuen Kenneth Fu; Joanne Goman; Jeremy Mulligan; Deanna Tune; David Sampson; Justin Westhuyzen; Michael McKay
Journal:  J Med Radiat Sci       Date:  2014-08-06

10.  Automatic Intracranial Segmentation: Is the Clinician Still Needed?

Authors:  Nicolas Meillan; Jean-Emmanuel Bibault; Julien Vautier; Caroline Daveau-Bergerault; Sarah Kreps; Hélène Tournat; Catherine Durdux; Philippe Giraud
Journal:  Technol Cancer Res Treat       Date:  2018-01-01
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