Ex alumna presenta en prestigioso congreso
Rosario Astaburuaga, quien defendió su tesis del magister en Física Médica (doble grado con la Universidad de Heidelberg) en junio de 2018, presentó en el congreso “60th Anual Meeting & Exhibition” de la AAPM, el que se realizó en Nashville, Estados Unidos:
Su presentación se tituló "Impact of Parotid Gland Migration On Xerostomia Prediction".
Purpose: To predict late grade two xerostomia (G2x) following radiotherapy under the impact of parotid gland (PG) migration.
Methods: A cohort of 139 head and neck cancer patients was used to study the association and interdependence of the planned mean dose (PMD) to PGs, the average dose gradient within PGs in the lateral direction (gradₓ), and PG migration with regard to G2x at 6-36 months after radiotherapy. PG migration one month after the treatment start was estimated for a subset of 88 patients. It was quantified based on daily MVCTs, using the volumetric change of the external contour at the level of the C2 vertebral body (Barker et. al. 2004).
Results: For clarity, results only cover the contralateral PG.PMD failed to predict G2x (AUC=0.57). Instead, G2x patients were well recognized by gradₓ (AUC=0.72). We hypothesize that gradₓ predicts G2x as a proxy of the increase in the delivered mean dose during treatment. For random setup errors, a sampling study confirmed a strong linear relation between uncertainty in the delivered mean dose and gradₓ (correlation coefficient). In order to differentiate between the patients where PG migration may have a higher and lower impact on the delivered mean dose, the subset was split into high- and low-gradient groups. Supporting our hypothesis, we found that (1) the G2x patients with low gradx were successfully recognized by the PMD (AUC=0.91) and (2) the G2x patients with high gradx were well recognized by PG migration (AUC=0.77) and gradₓ (AUC=0.75).
Conclusion: This work provides evidence that xerostomia prediction models may benefit from information about inter-fractional PG migration during radiotherapy. It motivates further work on image-guided NTCP modelling by relating treatment outcomes with the delivered dose instead of the planned dose. An ongoing patient-specific reconstruction of the delivered mean dose may further substantiate our findings.