A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy

Nicholas Hardcastle, Wolfgang A. Tomé, Donald M. Cannon, Charlotte L. Brouwer, Paul W H Wittendorp, Nesrin Dogan, Matthias Guckenberger, Stéphane Allaire, Yogish Mallya, Prashant Kumar, Markus Oechsner, Anne Richter, Shiyu Song, Michael Myers, Bülent Polat, Karl Bzdusek

Research output: Contribution to journalArticle

56 Citations (Scopus)

Abstract

Background: Adaptive Radiotherapy aims to identify anatomical deviations during a radiotherapy course and modify the treatment plan to maintain treatment objectives. This requires regions of interest (ROIs) to be defined using the most recent imaging data. This study investigates the clinical utility of using deformable image registration (DIR) to automatically propagate ROIs.Methods: Target (GTV) and organ-at-risk (OAR) ROIs were non-rigidly propagated from a planning CT scan to a per-treatment CT scan for 22 patients. Propagated ROIs were quantitatively compared with expert physician-drawn ROIs on the per-treatment scan using Dice scores and mean slicewise Hausdorff distances, and center of mass distances for GTVs. The propagated ROIs were qualitatively examined by experts and scored based on their clinical utility.Results: Good agreement between the DIR-propagated ROIs and expert-drawn ROIs was observed based on the metrics used. 94% of all ROIs generated using DIR were scored as being clinically useful, requiring minimal or no edits. However, 27% (12/44) of the GTVs required major edits.Conclusion: DIR was successfully used on 22 patients to propagate target and OAR structures for ART with good anatomical agreement for OARs. It is recommended that propagated target structures be thoroughly reviewed by the treating physician.

Original languageEnglish (US)
Article number90
JournalRadiation Oncology
Volume7
Issue number1
DOIs
StatePublished - Jun 15 2012
Externally publishedYes

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Neck
Radiotherapy
Head
Organs at Risk
Physicians
Therapeutics

Keywords

  • Adaptive radiotherapy
  • Deformable image registration
  • Head and neck cancer

ASJC Scopus subject areas

  • Oncology
  • Radiology Nuclear Medicine and imaging

Cite this

A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy. / Hardcastle, Nicholas; Tomé, Wolfgang A.; Cannon, Donald M.; Brouwer, Charlotte L.; Wittendorp, Paul W H; Dogan, Nesrin; Guckenberger, Matthias; Allaire, Stéphane; Mallya, Yogish; Kumar, Prashant; Oechsner, Markus; Richter, Anne; Song, Shiyu; Myers, Michael; Polat, Bülent; Bzdusek, Karl.

In: Radiation Oncology, Vol. 7, No. 1, 90, 15.06.2012.

Research output: Contribution to journalArticle

Hardcastle, N, Tomé, WA, Cannon, DM, Brouwer, CL, Wittendorp, PWH, Dogan, N, Guckenberger, M, Allaire, S, Mallya, Y, Kumar, P, Oechsner, M, Richter, A, Song, S, Myers, M, Polat, B & Bzdusek, K 2012, 'A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy', Radiation Oncology, vol. 7, no. 1, 90. https://doi.org/10.1186/1748-717X-7-90
Hardcastle, Nicholas ; Tomé, Wolfgang A. ; Cannon, Donald M. ; Brouwer, Charlotte L. ; Wittendorp, Paul W H ; Dogan, Nesrin ; Guckenberger, Matthias ; Allaire, Stéphane ; Mallya, Yogish ; Kumar, Prashant ; Oechsner, Markus ; Richter, Anne ; Song, Shiyu ; Myers, Michael ; Polat, Bülent ; Bzdusek, Karl. / A multi-institution evaluation of deformable image registration algorithms for automatic organ delineation in adaptive head and neck radiotherapy. In: Radiation Oncology. 2012 ; Vol. 7, No. 1.
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AU - Wittendorp, Paul W H

AU - Dogan, Nesrin

AU - Guckenberger, Matthias

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AU - Kumar, Prashant

AU - Oechsner, Markus

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AU - Song, Shiyu

AU - Myers, Michael

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