Spatial signature of dose patterns associated with acute radiation-induced lung damage in lung cancer patients treated with Stereotactic Body Radiation Therapy(12 visite) Palma G, Monti S, Thor M, Rimner A, Deasy JO, Cella L
Phys Med Biol (ISSN: 0031-9155linking), 2019 Jul 1; N/D: N/D-N/D.
Tipo di articolo: Journal Article
Impact factor: 1.542, Impact factor a 5 anni: 2.822
Url: Non disponibile.
Parole chiave: Elastic Image Registration, Radiation-Induced Lung Damage, Voxel-Based Analysis
*** IBB - CNR *** Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche, Roma, 00185, ITALY., Istituto di Biostrutture e Bioimmagini, Consiglio Nazionale delle Ricerche, Napoli, ITALY., Dept of Medical Physics, Memorial-Sloan Kettering Cancer Centre, 1250 York Avenue, 10065, New York City, New York, UNITED STATES., Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New york, New York, UNITED STATES., Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA, New York, New York, UNITED STATES., Istututo di Biostrutture e Bioimmagini, CNR, Via T De Amicis 95, Nap, ITALY.,
Thoracic Radiation Therapy (RT) is often associated with lung side effects, whose etiology is still controversial. Our aim was to explore correlations between local dose in the thoracic anatomy and the Radiation-Induced Lung Damage (RILD). To this end, we designed a robust scheme for Voxel-Based Analysis (VBA) to explore dose patterns associated with RILD in non-small-cell lung cancer (NSCLC) patients receiving Stereotactic Body RT (SBRT). We analyzed 106 NSCLC SBRT patients (median prescription dose: 50 Gy; range: [40-54] Gy) in 4 fractions (range: [3-5]) with clinical and dosimetric records suitable for the analysis. The incidence of acute RILD was 68%. Each planning CT and dose map was spatially normalized to a common anatomical reference using a B-spline inter-patient registration algorithm after masking the gross tumor volume. The tumor-subtracted dose maps were converted into Biologically Effective Dose maps (alpha/beta=3 Gy). VBA was performed according to a non-parametric permutation test accounting for multiple comparison, based on a cluster analysis method. The underlying general linear model of RILD was designed to include dose maps and each non-dosimetric variable significantly correlated with RILD. The clusters of voxels with dose differences significantly correlated with RILD at a given p-level (Sp) were generated. The only non-dosimetric variable significantly correlated with RILD was the chronic obstructive pulmonary disease (p=0.034). Patients with RILD received significantly (p<!--=0.05) higher doses in two voxel clusters S0.05 in the lower-left lung (14 cm3) and in an area (64 cm3) largely included within the ventricles. The applied VBA represents a powerful tool to probe the dose susceptibility of inhomogeneous organs in clinical radiobiology studies. The identified subregions with dose differences associated with RILD in both the heart and lower lungs endorse a trend of previously reported hypotheses on lung toxicity radiobiology.-->