Publications by authors named "Cristina Cappelletto"
Article Synopsis
- * Conducted on 43 patients who had previously received external beam radiotherapy, the analysis involved manually outlining the tumor and training a machine learning pipeline to assess prediction effectiveness.
- * The findings indicated a local failure rate of 30%, with a median recurrence time of 36.7 months, and the developed model achieved an accuracy of 62% and an AUC of 0.65, demonstrating its potential for predicting treatment outcomes.
Purpose: To correlate radiation dose to the risk of severe radiologically-evident radiation-induced lung injury (RRLI) using voxel-by-voxel analysis of the follow-up computed tomography (CT) of patients treated for lung cancer with hypofractionated helical Tomotherapy.
Methods And Materials: The follow-up CT scans from 32 lung cancer patients treated with various regimens (5, 8, and 25 fractions) were registered to pre-treatment CT using deformable image registration (DIR). The change in density was calculated for each voxel within the combined lungs minus the planning target volume (PTV).