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1.
Br J Radiol ; 97(1155): 660-667, 2024 Feb 28.
Article in English | MEDLINE | ID: mdl-38401536

ABSTRACT

OBJECTIVES: To evaluate patient-specific quality assurance (PSQA) of 3 targets in a single delivery using a novel film-based phantom. METHODS: The phantom was designed to rotate freely as a sphere and could measure 3 targets with film in a single delivery. After identifying the coordinates of 3 targets in the skull, the rotation angles about the equator and meridian were computed for optimal phantom setup, ensuring the film plane intersected the 3 targets. The plans were delivered on the CyberKnife system using fiducial tracking. The irradiated films were scanned and processed. All films were analysed using 3 gamma criteria. RESULTS: Fifteen CyberKnife test plans with 3 different modalities were delivered on the phantom. Both automatic and marker-based registration methods were applied when registering the irradiated film and dose plane. Gamma analysis was performed using a 3%/1 mm, 2%/1 mm, and 1%/1 mm criteria with a 10% threshold. For the automatic registration method, the passing rates were 98.2% ± 1.9%, 94.2% ± 3.7%, and 80.9% ± 6.3%, respectively. For the marker-based registration approach, the passing rates were 96.4% ± 2.7%, 91.7% ± 4.3%, and 78.4% ± 6.2%, respectively. CONCLUSIONS: A novel spherical phantom was evaluated for the CyberKnife system and achieved acceptable PSQA passing rates using TG218 recommendations. The phantom can measure true-composite dose and offers high-resolution results for PSQA, making it a valuable device for robotic radiosurgery. ADVANCES IN KNOWLEDGE: This is the first study on PSQA of 3 targets concurrently on the CyberKnife system.


Subject(s)
Radiosurgery , Radiotherapy, Intensity-Modulated , Robotic Surgical Procedures , Humans , Radiosurgery/methods , Radiotherapy Dosage , Radiotherapy, Intensity-Modulated/methods , Phantoms, Imaging , Radiotherapy Planning, Computer-Assisted/methods
2.
Photochem Photobiol ; 96(2): 417-425, 2020 03.
Article in English | MEDLINE | ID: mdl-32048732

ABSTRACT

The distributions of light and tissue oxygenation (St O2 ) within the chest cavity were determined for 15 subjects undergoing macroscopic complete resection followed by intraoperative photodynamic therapy (PDT) as part of a clinical trial for the treatment of malignant pleural mesothelioma (MPM). Over the course of light delivery, detectors at each of eight different sites recorded exposure to variable fluence rate. Nevertheless, the treatment-averaged fluence rate was similar among sites, ranging from a median of 40-61 mW cm-2 during periods of light exposure to a detector. St O2 at each tissue site varied by subject, but posterior mediastinum and posterior sulcus were the most consistently well oxygenated (median St O2 >90%; interquartile ranges ~85-95%). PDT effect on St O2 was characterized as the St O2 ratio (post-PDT St O2 /pre-PDT St O2 ). High St O2 pre-PDT was significantly associated with oxygen depletion (St O2 ratio < 1), although the extent of oxygen depletion was mild (median St O2 ratio of 0.8). Overall, PDT of the thoracic cavity resulted in moderate treatment-averaged fluence rate that was consistent among treated tissue sites, despite instantaneous exposure to high fluence rate. Mild oxygen depletion after PDT was experienced at tissue sites with high pre-PDT St O2 , which may suggest the presence of a treatment effect.


Subject(s)
Light , Mesothelioma, Malignant/drug therapy , Oxygen/metabolism , Photochemotherapy , Pleural Neoplasms/drug therapy , Thoracic Cavity/pathology , Female , Humans , Intraoperative Period , Male , Mesothelioma, Malignant/metabolism , Mesothelioma, Malignant/surgery , Pleural Neoplasms/metabolism , Pleural Neoplasms/surgery
3.
J Appl Clin Med Phys ; 21(2): 136-143, 2020 Feb.
Article in English | MEDLINE | ID: mdl-32043812

ABSTRACT

PURPOSE: To investigate a method to classify tissues types for synthetic CT generation using MRI for treatment planning in abdominal radiotherapy. METHODS: An institutional review board approved volunteer study was performed on a 3T MRI scanner. In-phase, fat and water images were acquired for five volunteers with breath-hold using an mDixon pulse sequence. A method to classify different tissue types for synthetic CT generation in the abdomen was developed. Three tissue clusters (fat, high-density tissue, and spine/air/lungs) were generated using a fuzzy-c means clustering algorithm. The third cluster was further segmented into three sub-clusters that represented spine, air, and lungs. Therefore, five segments were automatically generated. To evaluate segmentation accuracy using the method, the five segments were manually contoured on MRI images as the ground truth, and the volume ratio, Dice coefficient, and Hausdorff distance metric were calculated. The dosimetric effect of segmentation accuracy was evaluated on simulated targets close to air, lungs, and spine using a two-arc volumetric modulated arc therapy (VMAT) technique. RESULTS: The volume ratio of auto-segmentation to manual segmentation was 0.88-2.1 for the air segment and 0.72-1.13 for the remaining segments. The range of the Dice coefficient was 0.24-0.83, 0.84-0.93, 0.94-0.98, 0.93-0.96, and 0.76-0.79 for air, fat, lungs, high-density tissue, and spine, respectively. The range of the mean Hausdorff distance was 3-29.1 mm, 0.5-1.3 mm, 0.4-1 mm, 0.7-1.6 mm, and 1.2-1.4 mm for air, fat, lungs, high-density tissue, and spine, respectively. Despite worse segmentation accuracy in air and spine, the dosimetric effect was 0.2% ± 0.2%, with a maximum difference of 0.8% for all target locations. CONCLUSION: A method to generate synthetic CT in the abdomen was developed, and segmentation accuracy and its dosimetric effect were evaluated. Our results demonstrate the potential of using MRI alone for treatment planning in the abdomen.


Subject(s)
Abdomen/diagnostic imaging , Image Processing, Computer-Assisted/methods , Magnetic Resonance Imaging , Radiotherapy, Intensity-Modulated , Radiotherapy/methods , Tomography, X-Ray Computed , Air , Algorithms , Cluster Analysis , Humans , Multimodal Imaging , Radiometry , Radiotherapy Planning, Computer-Assisted/methods , Reproducibility of Results
4.
Pract Radiat Oncol ; 9(6): e572-e578, 2019 Nov.
Article in English | MEDLINE | ID: mdl-31226442

ABSTRACT

PURPOSE: For patients who receive treatment for left breast cancer, cardiac toxicity increases with increased radiation dose to the heart. A new method was developed using 4-dimensional computed tomography (CT) scans to improve custom cardiac blocks to minimize heart dose. METHODS AND MATERIALS: Four-dimensional CT scans were acquired, and a maximum intensity projection (MIP) heart was contoured for 20 patients. Custom heart blocks were created to fully block the MIP heart volume. A heart block based on the standard free-breathing (FB) CT image was retrospectively created. Differences in heart block sizes were compared. Differences in heart block areas and dose statistics were analyzed. RESULTS: In all 20 cases, the heart block created using the 4-dimensional scan had a larger area than the corresponding FB block. The mean increase in multileaf collimator coverage was 3.9 mm (range, 0.5-20.1 mm). The mean increase in the area of the heart block was 2.58 cm2 (range, 0.22-6.65 cm2). The dose-volume histogram showed that the MIP heart received 17.8 cGy (range, 0.02-70.3 cGy) more than the FB heart on average. Replanning with an FB heart block showed that the mean dose to the MIP heart increased by 16.2 cGy (range, 1.8-44.8 cGy) compared with the FB heart dose. CONCLUSIONS: Four-dimensional heart blocks accounting for intrinsic respiratory motion and cardiac motion were greater in size than FB heart blocks. These larger blocks resulted from the larger contour created from the MIP image and blocked more dose to the heart. This technique for improving custom heart blocks can be easily implemented with 4DCT machine capabilities that are currently available in clinical practice.


Subject(s)
Four-Dimensional Computed Tomography/methods , Heart Block/diagnostic imaging , Unilateral Breast Neoplasms/diagnostic imaging , Adult , Aged , Aged, 80 and over , Female , Humans , Middle Aged
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