Introducing the Jacobian-volume-histogram of deforming organs: application to parotid shrinkage evaluation
| Autor: | Giovanna Rizzo, E. Maggiulli, Claudio Fiorino, Italo Dell'Oca, Elena Faggiano, Simone Liberini, Nadia Di Muzio, Riccardo Calandrino, Sara Broggi, Giovanni Mauro Cattaneo |
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| Přispěvatelé: | Fiorino, C, Maggiulli, E, Broggi, S, Liberini, S, Cattaneo, Gm, Dell'Oca, I, Faggiano, E, Di Muzio, N, Calandrino, R, Rizzo, G. |
| Rok vydání: | 2011 |
| Předmět: |
Adult
Male medicine.medical_treatment computer.software_genre Tomotherapy symbols.namesake Voxel Histogram Image Processing Computer-Assisted medicine Humans Parotid Gland Radiology Nuclear Medicine and imaging Adaptive radiotherapy Aged Mathematics Shrinkage Aged 80 and over Radiological and Ultrasound Technology business.industry Middle Aged Elasticity Parotid gland medicine.anatomical_structure Head and Neck Neoplasms Jacobian matrix and determinant symbols Female Dose Fractionation Radiation Nuclear medicine business Previously treated computer |
| Zdroj: | Physics in Medicine and Biology. 56:3301-3312 |
| ISSN: | 1361-6560 0031-9155 |
| Popis: | The Jacobian of the deformation field of elastic registration between images taken during radiotherapy is a measure of inter-fraction local deformation. The histogram of the Jacobian values (Jac) within an organ was introduced (JVH-Jacobian-volume-histogram) and first applied in quantifying parotid shrinkage. MVCTs of 32 patients previously treated with helical tomotherapy for head-neck cancers were collected. Parotid deformation was evaluated through elastic registration between MVCTs taken at the first and last fractions. Jac was calculated for each voxel of all parotids, and integral JVHs were calculated for each parotid; the correlation between the JVH and the planning dose-volume histogram (DVH) was investigated. On average, 82% (±17%) of the voxels shrinks (Jac1) and 14% (±17%) shows a local compression50% (Jac0.5). The best correlation between the DVH and the JVH was found between V10 and V15, and Jac0.4-0.6 (p0.01). The best constraint predicting a higher number of largely compressing voxels (Jac0.57.5%, median value) was V15 ≥ 75% (OR: 7.6, p = 0.002). Jac and the JVH are promising tools for scoring/modelling toxicity and for evaluating organ/contour variations with potential applications in adaptive radiotherapy. |
| Databáze: | OpenAIRE |
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