scholarly journals Combined Use of a Transmission Detector and an EPID-Based In Vivo Dose Monitoring System in External Beam Whole Breast Irradiation: A Study with an Anthropomorphic Female Phantom

2020 ◽  
Vol 10 (21) ◽  
pp. 7611
Author(s):  
Chiara Arilli ◽  
Yannik Wandael ◽  
Chiara Galeotti ◽  
Livia Marrazzo ◽  
Silvia Calusi ◽  
...  

We evaluate the combined usage of two systems, the Integral Quality Monitor (IQM) transmission detector and SoftDiso software, for in vivo dose monitoring by simultaneous detection of delivery and patient setup errors in whole breast irradiation. An Alderson RANDO phantom was adapted with silicon breast prostheses to mimic the female anatomy. Plans with simulated delivery errors were created from a reference left breast plan, and patient setup errors were simulated by moving the phantom. Deviations from reference values recorded by both monitoring systems were measured for all plans and phantom positions. A 2D global gamma analysis was performed in SoftDiso for all phantom displacements. Both IQM signals and SoftDiso R-values are sensitive to small MU variations. However, only IQM is sensitive to jaw position variations. Conversely, IQM is unable to detect patient positioning errors, and the R-value has good sensitivity to phantom displacements. A gamma comparison analysis allows one to determine alert thresholds to detect phantom shifts or relatively large rotations. The combined use of the IQM and SoftDiso allows for fast identification of both delivery and setup errors and substantially reduces the impact of error identification and correction on the treatment workflow.

2014 ◽  
Vol 41 (6Part24) ◽  
pp. 409-409 ◽  
Author(s):  
R Zhang ◽  
L Jarvis ◽  
D Gladstone ◽  
J Andreozzi ◽  
W Hitchcock ◽  
...  

Proceedings ◽  
2020 ◽  
Vol 61 (1) ◽  
pp. 14
Author(s):  
Henry J. Thompson ◽  
John N. McGinley ◽  
Elizabeth S. Neil ◽  
Tiffany L. Weir

Population data indicate that consumption of common bean reduces breast cancer risk, an effect replicated in a well characterized rodent model of mammary carcinogenesis. However, low molecular weight fractions of bean failed to inhibit growth of established breast cancer cell lines. Given that cell culture screens for anticancer activity are designed to detect a decrease in cell number accumulation, we reasoned that it might be possible to create a cell number accumulation assay for screening foods such as common bean in vivo by using an oncogene driven model for breast cancer. A benefit of this approach is that it permits simultaneous detection of systemic effects in the host and their potential mediation by the gut microbiome. We report an in vivo mammary cell accumulation assay driven by the polyoma middle T antigen (PyMT) oncogene and show that bean feeding reduced the accumulation of cells in developing mammary pathologies. As a candidate mediator, we report the impact of bean consumption on the gut associated microbiome. Differences were observed between common bean and the control diet in microbial phylogenetic diversity, beta diversity, abundance of various taxa, and predicted functional activity.


2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Jurui Luo ◽  
Zhihai Yin ◽  
Zhen Zhang ◽  
Xiaomao Guo ◽  
Xiaoli Yu ◽  
...  

Abstract Purpose To use cone-beam computed tomography (CBCT) imaging to determine the impacts of patient characteristics on the magnitude of geometric setup errors and obtain patient-specific planning target volume (PTV) margins from the correlated patient characteristics in whole breast irradiation (WBI). Methods Between January 2019 and December 2019, a total of 97 patients who underwent breast-conserving surgery, followed by intensity-modulated radiation therapy in WBI, were scanned with pre-treatment CBCT for the first three treatment fractions and weekly for the subsequent fractions. Setup errors in the left–right (LR), superior–inferior (SI) and anterior–posterior (AP) directions were recorded and analyzed with patient characteristics—including age, tumor location, body mass index (BMI), chest circumference (CC) and breast volume (BV)—to examine the predictors for setup errors and obtain specific PTV margins. Results A total of 679 CBCT images from 97 patients were acquired for analysis. The mean setup errors for the whole group were 2.32 ± 1.21 mm, 3.71 ± 2.21 mm and 2.75 ± 1.56 mm in the LR, SI and AP directions, respectively. Patients’ BMI, CC and BV were moderately associated with setup errors, especially in the SI directions (R = 0.40, 0.43 and 0.22, respectively). Setup errors in the SI directions for patients with BMI > 23.8 kg/m2, CC > 89 cm and BV > 657 cm3 were 4.56 ± 2.59 mm, 4.77 ± 2.42 mm and 4.30 ± 2.43 mm, respectively, which were significantly greater than those of patients with BMI ≤ 23.8 kg/m2, CC ≤ 89 cm and BV ≤ 657 cm3 (P < 0.05). Correspondingly, the calculated PTV margins in patients with BMI > 23.8 kg/m2, CC > 89 cm and BV > 657 cm3 were 4.25/7.95/4.93 mm, 4.37/7.66/5.24 mm and 4.22/7.54/5.29 mm in the LR/SI/AP directions, respectively, compared with 3.64/4.64/5.09 mm, 3.31/4.50/4.82 mm and 3.29/5.74/4.73 mm for BMI ≤ 23.8 kg/m2, CC ≤ 89 cm and BV ≤ 657 cm3, respectively. Conclusions The magnitude of geometric setup errors was moderately correlated with BMI, CC and BV. It was recommended to set patient-specific PTV margins according to patient characteristics in the absence of daily image-guided treatment setup.


Sign in / Sign up

Export Citation Format

Share Document