Dataset Information


Potential dosimetric benefits of adaptive tumor tracking over the internal target volume concept for stereotactic body radiation therapy of pancreatic cancer.

ABSTRACT: Radiotherapy for pancreatic cancer has two major challenges: (I) the tumor is adjacent to several critical organs and, (II) the mobility of both, the tumor and its surrounding organs at risk (OARs). A treatment planning study simulating stereotactic body radiation therapy (SBRT) for pancreatic tumors with both the internal target volume (ITV) concept and the tumor tracking approach was performed. The two respiratory motion-management techniques were compared in terms of doses to the target volume and organs at risk.Two volumetric-modulated arc therapy (VMAT) treatment plans (5 × 5 Gy) were created for each of the 12 previously treated pancreatic cancer patients, one using the ITV concept and one the tumor tracking approach. To better evaluate the overall dose delivered to the moving tumor volume, 4D dose calculations were performed on four-dimensional computed tomography (4DCT) scans. The resulting planning target volume (PTV) size for each technique was analyzed. Target and OAR dose parameters were reported and analyzed for both 3D and 4D dose calculation.Tumor motion ranged from 1.3 to 11.2 mm. Tracking led to a reduction of PTV size (max. 39.2%) accompanied with significant better tumor coverage (p<0.05, paired Wilcoxon signed rank test) both in 3D and 4D dose calculations and improved organ at risk sparing. Especially for duodenum, stomach and liver, the mean dose was significantly reduced (p<0.05) with tracking for 3D and 4D dose calculations.By using an adaptive tumor tracking approach for respiratory-induced pancreatic motion management, a significant reduction in PTV size can be achieved, which subsequently facilitates treatment planning, and improves organ dose sparing. The dosimetric benefit of tumor tracking is organ and patient-specific.


PROVIDER: S-EPMC5680781 | BioStudies | 2017-01-01

REPOSITORIES: biostudies

Similar Datasets

2018-01-01 | S-EPMC6036380 | BioStudies
1000-01-01 | S-EPMC5965366 | BioStudies
2016-01-01 | S-EPMC5119818 | BioStudies
2013-01-01 | S-EPMC3843761 | BioStudies
2013-01-01 | S-EPMC3732304 | BioStudies
2016-01-01 | S-EPMC5034438 | BioStudies
1000-01-01 | S-EPMC5689910 | BioStudies
2011-01-01 | S-EPMC3107830 | BioStudies
2011-01-01 | S-EPMC3203127 | BioStudies
2012-01-01 | S-EPMC3436918 | BioStudies