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Statistical modeling of CTV motion and deformation for IMRT of early-stage rectal cancer.
Bondar, Luiza; Intven, Martijn; Burbach, J P Maarten; Budiarto, Eka; Kleijnen, Jean-Paul; Philippens, Marielle; van Asselen, Bram; Seravalli, Enrica; Reerink, Onne; Raaymakers, Bas.
Affiliation
  • Bondar L; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands. Electronic address: M.L.Bondar@umcutrecht.nl.
  • Intven M; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Burbach JP; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Budiarto E; Delft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
  • Kleijnen JP; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Philippens M; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • van Asselen B; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Seravalli E; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Reerink O; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Raaymakers B; Department of Radiotherapy, University Medical Center Utrecht, Utrecht, The Netherlands.
Int J Radiat Oncol Biol Phys ; 90(3): 664-72, 2014 Nov 01.
Article in En | MEDLINE | ID: mdl-25151540
ABSTRACT

PURPOSE:

To derive and validate a statistical model of motion and deformation for the clinical target volume (CTV) of early-stage rectal cancer patients. METHODS AND MATERIALS For 16 patients, 4 to 5 magnetic resonance images (MRI) were acquired before each fraction was administered. The CTV was delineated on each MRI. Using a leave-one-out methodology, we constructed a population-based principal component analysis (PCA) model of the CTV motion and deformation of 15 patients, and we tested the model on the left-out patient. The modeling error was calculated as the amount of the CTV motion-deformation of the left-out-patient that could not be explained by the PCA model. Next, the PCA model was used to construct a PCA target volume (PCA-TV) by accumulating motion-deformations simulated by the model. A PCA planning target volume (PTV) was generated by expanding the PCA-TV by uniform margins. The PCA-PTV was compared with uniform and nonuniform CTV-to-PTV margins. To allow comparison, geometric margins were determined to ensure adequate coverage, and the volume difference between the PTV and the daily CTV (CTV-to-PTV volume) was calculated.

RESULTS:

The modeling error ranged from 0.9 ± 0.5 to 2.9 ± 2.1 mm, corresponding to a reduction of the CTV motion-deformation between 6% and 60% (average, 23% ± 11%). The reduction correlated with the magnitude of the CTV motion-deformation (P<.001, R=0.66). The PCA-TV and the CTV required 2-mm and 7-mm uniform margins, respectively. The nonuniform CTV-to-PTV margins were 4 mm in the left, right, inferior, superior, and posterior directions and 8 mm in the anterior direction. Compared to uniform and nonuniform CTV-to-PTV margins, the PCA-based PTV significantly decreased (P<.001) the average CTV-to-PTV volume by 128 ± 20 mL (49% ± 4%) and by 35 ± 6 mL (20% ± 3.5%), respectively.

CONCLUSIONS:

The CTV motion-deformation of a new patient can be explained by a population-based PCA model. A PCA model-generated PTV significantly improved sparing of organs at risk compared to uniform and nonuniform CTV-to-PTV margins.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rectal Neoplasms / Models, Statistical / Principal Component Analysis / Tumor Burden / Radiotherapy, Intensity-Modulated Type of study: Etiology_studies Limits: Female / Humans / Male Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2014 Document type: Article Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rectal Neoplasms / Models, Statistical / Principal Component Analysis / Tumor Burden / Radiotherapy, Intensity-Modulated Type of study: Etiology_studies Limits: Female / Humans / Male Language: En Journal: Int J Radiat Oncol Biol Phys Year: 2014 Document type: Article Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA