Voxel-wise analysis: A powerful tool to ...
Document type :
Article dans une revue scientifique: Article original
Title :
Voxel-wise analysis: A powerful tool to predict radio-induced toxicity and potentially perform personalised planning in radiotherapy
Author(s) :
Sosa-Marrero, C [Auteur]
CRLCC Eugène Marquis [CRLCC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Acosta, O [Auteur]
CRLCC Eugène Marquis [CRLCC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Pasquier, D [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] [UNICANCER/Lille]
Thariat, J [Auteur]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Delpon, G [Auteur]
Laboratoire de physique subatomique et des technologies associées [SUBATECH]
Institut de Cancérologie de l'Ouest [Angers/Nantes] [UNICANCER/ICO]
Fiorino, C [Auteur]
San Raffaele Scientific Institute
Rancatti, T [Auteur]
Istituto di Ricovero e Cura a Carattere Scientifico [IRCCS]
Malard, O [Auteur]
Centre Hospitalier Universitaire de Nantes = Nantes University Hospital [CHU Nantes]
Foray, N [Auteur]
Unité Ad Hoc INSERM 000008 "Radiations : Défense, Santé, Environnement" [Lyon] [Inserm U1296]
de Crevoisier, R [Auteur correspondant]
CRLCC Eugène Marquis [CRLCC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
CRLCC Eugène Marquis [CRLCC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Acosta, O [Auteur]
CRLCC Eugène Marquis [CRLCC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Pasquier, D [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] [UNICANCER/Lille]
Thariat, J [Auteur]
Centre Régional de Lutte contre le Cancer François Baclesse [Caen] [UNICANCER/CRLC]
Delpon, G [Auteur]
Laboratoire de physique subatomique et des technologies associées [SUBATECH]
Institut de Cancérologie de l'Ouest [Angers/Nantes] [UNICANCER/ICO]
Fiorino, C [Auteur]
San Raffaele Scientific Institute
Rancatti, T [Auteur]
Istituto di Ricovero e Cura a Carattere Scientifico [IRCCS]
Malard, O [Auteur]
Centre Hospitalier Universitaire de Nantes = Nantes University Hospital [CHU Nantes]
Foray, N [Auteur]
Unité Ad Hoc INSERM 000008 "Radiations : Défense, Santé, Environnement" [Lyon] [Inserm U1296]
de Crevoisier, R [Auteur correspondant]
CRLCC Eugène Marquis [CRLCC]
Laboratoire Traitement du Signal et de l'Image [LTSI]
Journal title :
Cancer/Radiothérapie
Pages :
638-642
Publisher :
Elsevier Masson
Publication date :
2023
ISSN :
1278-3218
Keyword(s) :
Prédiction
Toxicité radio-induite
Toxicité radio-induite
English keyword(s) :
Prediction
Radio-induced toxicity
Voxel
Voxel-wise analysis
Radio-induced toxicity
Voxel
Voxel-wise analysis
HAL domain(s) :
Physique [physics]
Sciences du Vivant [q-bio]/Cancer
Sciences du Vivant [q-bio]/Cancer
English abstract : [en]
Dose – volume histograms have been historically used to study the relationship between the planned radiation dose and healthy tissue damage. However, this approach considers neither spatial information nor heterogenous ...
Show more >Dose – volume histograms have been historically used to study the relationship between the planned radiation dose and healthy tissue damage. However, this approach considers neither spatial information nor heterogenous radiosensitivity within organs at risk, depending on the tissue. Recently, voxel-wise analyses have emerged in the literature as powerful tools to fully exploit three-dimensional information from the planned dose distribution. They allow to identify anatomical subregions of one or several organs in which the irradiation dose is associated with a given toxicity. These methods rely on an accurate anatomical alignment, usually obtained by means of a non-rigid registration. Once the different anatomies are spatially normalised, correlations between the three-dimensional dose and a given toxicity can be explored voxel-wise. Parametric or non-parametric statistical tests can be performed on every voxel to identify the voxels in which the dose is significantly different between patients presenting or not toxicity. Several anatomical subregions associated with genitourinary, gastrointestinal, cardiac, pulmonary or haematological toxicity have already been identified in the literature for prostate, head and neck or thorax irradiation. Voxel-wise analysis appears therefore first particularly interesting to increase toxicity prediction capability by identifying specific subregions in the organs at risk whose irradiation is highly predictive of specific toxicity. The second interest is potentially to decrease the radio-induced toxicity by limiting the dose in the predictive subregions, while not decreasing the dose in the target volume. Limitations of the approach have been pointed out.Show less >
Show more >Dose – volume histograms have been historically used to study the relationship between the planned radiation dose and healthy tissue damage. However, this approach considers neither spatial information nor heterogenous radiosensitivity within organs at risk, depending on the tissue. Recently, voxel-wise analyses have emerged in the literature as powerful tools to fully exploit three-dimensional information from the planned dose distribution. They allow to identify anatomical subregions of one or several organs in which the irradiation dose is associated with a given toxicity. These methods rely on an accurate anatomical alignment, usually obtained by means of a non-rigid registration. Once the different anatomies are spatially normalised, correlations between the three-dimensional dose and a given toxicity can be explored voxel-wise. Parametric or non-parametric statistical tests can be performed on every voxel to identify the voxels in which the dose is significantly different between patients presenting or not toxicity. Several anatomical subregions associated with genitourinary, gastrointestinal, cardiac, pulmonary or haematological toxicity have already been identified in the literature for prostate, head and neck or thorax irradiation. Voxel-wise analysis appears therefore first particularly interesting to increase toxicity prediction capability by identifying specific subregions in the organs at risk whose irradiation is highly predictive of specific toxicity. The second interest is potentially to decrease the radio-induced toxicity by limiting the dose in the predictive subregions, while not decreasing the dose in the target volume. Limitations of the approach have been pointed out.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :