Technical Note: Development of a phantom for dosimetric comparison of murine micro-CT protocols with optically stimulated luminescent dosimeters.

PURPOSE: This work aims to evaluate the utility and accuracy of a mouse-like phantom and optically stimulated luminescent dosimeters (OSLDs) in measuring dose delivered to the body and lung of mice undergoing micro-CT imaging. METHODS: A phantom with two cavities for NanoDot OSLDs (Landauer, Inc., Greenwood, IL) was designed and constructed using acrylic to model the mouse body and polyurethane foam to obtain an approximate lung tissue dose. The OSLD dose was compared to ion chamber measurements for the same imaging protocols delivered by a Siemens Inveon micro-CT (Siemens Medical Solutions USA, Inc., Hoffman Estates, IL, USA). A whole body scan, using 80 kV, 0.5 mA and 0.5 mm of aluminum filter, was used to compare results to previously published data. Additionally, dose was measured for the whole body scan without the aluminum filter and two chest protocols (full and half rotation). RESULTS: OSLD dose results agree with chamber measurements within 3%. Average OSLD measurements for the whole body scan without filter were 10.7 ± 0.7 cGy in the abdomen and 11.2 ± 0.7 cGy in the lung. For the full rotation chest protocol, the average dose measured in the lung was 65.8 ± 4.3 cGy and 60.2 ± 3.9 cGy in the abdomen. Average doses were 41.1 ± 2.7 cGy in the lung and 38.2 ± 2.5 cGy in the abdomen for the half rotation chest protocol. The OSLD measurements showed a coefficient of variation under 1.4%. A maximum rotational geometry under-response of 0.86% with respect to exposure at normal incidence to the OSLD was measured. CONCLUSIONS: The doses measured were found to be comparable to other studies for the scanner configuration and protocols chosen. The phantom built for this study was found to give reproducible dose measurements with 4% uncertainty. In this way, a robust and convenient method is established for future dose assessment of micro-CT protocols and interinstitutional comparisons.

Factors predictive of symptomatic radiation injury after linear accelerator-based stereotactic radiosurgery for intracerebral arteriovenous malformations.

PURPOSE: To investigate predictive factors in the development of symptomatic radiation injury after treatment with linear accelerator-based stereotactic radiosurgery for intracerebral arteriovenous malformations and relate the findings to the conclusions drawn by Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC). METHODS AND MATERIALS: Archived plans for 73 patients who were treated at the British Columbia Cancer Agency were studied. Actuarial estimates of freedom from radiation injury were calculated using the Kaplan-Meier method. Univariate and multivariate Cox proportional hazards models were used for analysis of incidence of radiation injury. Log-rank test was used to search for dosimetric parameters associated with freedom from radiation injury. RESULTS: Symptomatic radiation injury was exhibited by 14 of 73 patients (19.2%). Actuarial rate of symptomatic radiation injury was 23.0% at 4 years. Most patients (78.5%) had mild to moderate deficits according to Common Terminology Criteria for Adverse Events, version 4.0. On univariate analysis, lesion volume and diameter, dose to isocenter, and a V(x) for doses ≥8 Gy showed statistical significance. Only lesion diameter showed statistical significance (p < 0.05) in a multivariate model. According to the log-rank test, AVM volumes >5 cm(3) and diameters >30 mm were significantly associated with the risk of radiation injury (p < 0.01). The V(12) also showed strong association with the incidence of radiation injury. Actuarial incidence of radiation injury was 16.8% if V(12) was <28 cm(3) and 53.2% if >28 cm(3) (log-rank test, p = 0.001). CONCLUSIONS: This study confirms that the risk of developing symptomatic radiation injury after radiosurgery is related to lesion diameter and volume and irradiated volume. Results suggest a higher tolerance than proposed by QUANTEC. The widely differing findings reported in the literature, however, raise considerable uncertainties.

Incorporating quantitative single photon emission computed tomography into radiation therapy treatment planning for lung cancer: impact of attenuation and scatter correction on the single photon emission computed tomography-weighted mean dose and functional lung segmentation.

PURPOSE: To assess the impact of attenuation and scatter corrections on the calculation of single photon emission computed tomography (SPECT)-weighted mean dose (SWMD) and functional volume segmentation as applied to radiation therapy treatment planning for lung cancer. METHODS AND MATERIALS: Nine patients with lung cancer underwent a SPECT lung perfusion scan. For each scan, four image sets were reconstructed using the ordered subsets expectation maximization method with attenuation and scatter corrections ranging from none to a most comprehensive combination of attenuation corrections and direct scatter modeling. Functional volumes were segmented in each reconstructed image using 10%, 20%, …, 90% of maximum SPECT intensity as a threshold. Systematic effects of SPECT reconstruction methods on treatment planning using functional volume were studied by calculating size and spatial agreements of functional volumes, and V(20) for functional volume from actual treatment plans. The SWMD was calculated for radiation beams with a variety of possible gantry angles and field sizes. RESULTS: Functional volume segmentation is sensitive to the particular method of SPECT reconstruction used. Large variations in functional volumes, as high as >50%, were observed in SPECT images reconstructed with different attenuation/scatter corrections. However, SWMD was less sensitive to the type of scatter corrections. SWMD was consistent within 2% for all reconstructions as long as computed tomography-based attenuation correction was used. CONCLUSION: When using perfusion SPECT images during treatment planning optimization/evaluation, the SWMD may be the preferred figure of merit, as it is less affected by reconstruction technique, compared with threshold-based functional volume segmentation.