Comparison of dosimetric accuracy of acuros XB and analytical anisotropic algorithm against Monte Carlo technique

Seniwal, Baljeet; Bhatt, Chandi Prasad; Fonseca, Telma Cristina Ferreira

doi:10.1088/2057-1976/ab6e1b

Cited by 14 publications

(15 citation statements)

References 20 publications

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“…Radiotherapy treatment plans are based on medical imaging from which CT is the most used technique for both tissue delineation and dose calculation 1,2 . Modern dose calculation algorithms can precisely calculate dose distributions and optimize treatment plans to deliver a highly conformal dose to the patient using material composition and density extracted from CT images as input 3–5 . In addition to dose calculation, CT images are often used for manual and automated tissue delineation, 6 surface tracking during treatment, 7 prediction on portal imaging and treatment verification 8 .…”

Section: Introductionmentioning

confidence: 99%

“… 1 , 2 Modern dose calculation algorithms can precisely calculate dose distributions and optimize treatment plans to deliver a highly conformal dose to the patient using material composition and density extracted from CT images as input. 3 , 4 , 5 In addition to dose calculation, CT images are often used for manual and automated tissue delineation, 6 surface tracking during treatment, 7 prediction on portal imaging and treatment verification. 8 Therefore, the accuracy of CT reconstruction regarding body contours and accurate Hounsfield unit (HU) can affect several aspects of radiotherapy treatments.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of novel AI‐based extended field‐of‐view CT reconstructions

et al. 2021

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Purpose: Modern computed tomography (CT) scanners have an extended field-of-view (eFoV) for reconstructing images up to the bore size, which is relevant for patients with higher BMI or nonisocentric positioning due to fixation devices. However, the accuracy of the image reconstruction in eFoV is not well known since truncated data are used. This study introduces a new deep learningbased algorithm for extended field-of-view reconstruction and evaluates the accuracy of the eFoV reconstruction focusing on aspects relevant for radiotherapy. Methods: A life-size three-dimensional (3D) printed thorax phantom, based on a patient CT for which eFoV was necessary, was manufactured and used as reference. The phantom has holes allowing the placement of tissue mimicking inserts used to evaluate the Hounsfield unit (HU) accuracy. CT images of the phantom were acquired using different configurations aiming to evaluate geometric and HU accuracy in the eFoV. Image reconstruction was performed using a state-of-the-art reconstruction algorithm (HDFoV), commercially available, and the novel deep learning-based approach (HDeepFoV). Five patient cases were selected to evaluate the performance of both algorithms on patient data. There is no ground truth for patients so the reconstructions were qualitatively evaluated by five physicians and five medical physicists. Results: The phantom geometry reconstructed with HDFoV showed boundary deviations from 1.0 to 2.5 cm depending on the volume of the phantom outside the regular scan field of view. HDeepFoV showed a superior performance regardless of the volume of the phantom within eFOV with a maximum boundary deviation below 1.0 cm. The maximum HU (absolute) difference for soft issue inserts is below 79 and 41 HU for HDFoV and HDeepFoV, respectively. HDeepFoV has a maximum deviation of À18 HU for an inhaled lung insert while HDFoV reached a 229 HU difference. The qualitative evaluation of patient cases shows that the novel deep learning approach produces images that look more realistic and have fewer artifacts. Conclusion: To be able to reconstruct images outside the sFoV of the CT scanner there is no alternative than to use some kind of extrapolated data. In our study, we proposed and investigated a new deep learning-based algorithm and compared it to a commercial solution for eFoV reconstruction. The deep learning-based algorithm showed superior performance in quantitative evaluations based on phantom data and in qualitative assessments of patient data.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of novel AI‐based extended field‐of‐view CT reconstructions

et al. 2021

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“…The TPS used was the Eclipse (v15.5.11), and the dose calculation algorithm was the Acuros XB 23 . Some investigations have shown the superiority of AXB algorithm in accurate dose calculations of inhomogeneous media with respect to other algorithms 24–26 . The prescription and the acceptance criteria for the IMRT plans were the same as the MR‐Linac plans.…”

Section: Methodsmentioning

confidence: 99%

“…23 Some investigations have shown the superiority of AXB algorithm in accurate dose calculations of inhomogeneous media with respect to other algorithms. [24][25][26] The prescription and the acceptance criteria for the IMRT plans were the same as the MR-Linac plans. We tested a plan for each of the seven motion patterns, which was kept the same for both CT simulation and delivery as in the ATP tests on Unity.…”

Section: Independent Validationmentioning

confidence: 99%

Technical Note: End‐to‐end verification of an MR‐Linac using a dynamic motion phantom

Liu

Zhu

et al. 2021

Medical Physics

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Purpose MR‐Linac integrates an MRI scanner and a linear accelerator to provide adaptive radiation treatment. Superior tissue contrast and real‐time imaging can give the clinicians confidence to reduce the margins of the planning target volume (PTV). The purpose of this study was to verify the dosimetric accuracy of an MR‐Linac system in treating a moving target and assess the error with different motion patterns and adaptation methods. Methods We performed an end‐to‐end test for Elekta Unity (Elekta) using the 4D Dynamic Thorax Phantom (CIRS MRgRT 008Z), comparing the measured and planned dose. The moving phantom had four measurement locations in the tumor, liver, kidney, and spinal cord regions with a PTW30013 ion chamber. For seven different motion patterns, we first acquired simulation CT using a slow‐scanning protocol, based on which we generated reference plans. The treatment technique was the standard intensity‐modulated radiation therapy (IMRT). We tested both adaptation workflows: the Adapt‐to‐Position (ATP) and the Adapt‐to‐Shape (ATS). The three‐dimensional (3D) distribution was measured using a diode array phantom (Sun Nuclear Inc.) to check the dose distribution accuracy as part of the routine QA process. We also performed end‐to‐end tests on a conventional Linac. Finally, we used SPSS Statistics 22.0 (Inc., Chicago, IL, USA) for data analysis. Results All pretreatment reference plans and delivered plans had excellent QA results with a better than 95% passing rate of relative gamma analysis (2%/2 mm criteria). The adaptive planning for MR‐Linac produced quality plans. The measured dose in the target agreed with the calculated dose. Conclusions The adaptive treatment on the MR‐Linac system investigated met the expected performance with tumor motions. The outline of the target could be visualized and accurately contoured on the 3D MR for online planning. Under different motion patterns, the difference between the measured and calculated dose was acceptable clinically.

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“…Cancer is one of the main causes of human death worldwide (1). Along with chemotherapy and surgery, radiotherapy (RT), also termed as radiation therapy, is a well-established method of treating non-metastatic cancers (2)(3)(4). In current practice, more than half of the cancer patients receive RT as primary mode of cancer therapy or adjuvant mode of treatment along with chemotherapy, immunotherapy, or surgery (5).…”

Section: Introductionmentioning

confidence: 99%

Recent Advances in Brachytherapy Using Radioactive Nanoparticles: An Alternative to Seed-Based Brachytherapy

et al. 2021

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Interstitial brachytherapy (BT) is generally used for the treatment of well-confined solid tumors. One example of this is in the treatment of prostate tumors by permanent placement of radioactive seeds within the prostate gland, where low doses of radiation are delivered for several months. However, successful implementation of this technique is hampered due to several posttreatment adverse effects or symptoms and operational and logistical complications associated with it. Recently, with the advancements in nanotechnology, radioactive nanoparticles (radio-NPs) functionalized with tumor-specific biomolecules, injected intratumorally, have been reported as an alternative to seed-based BT. Successful treatment of solid tumors using radio-NPs has been reported in several preclinical studies, on both mice and canine models. In this article, we review the recent advancements in the synthesis and use of radio-NPs as a substitute to seed-based BT. Here, we discuss the limitations of current seed-based BT and advantages of radio-NPs for BT applications. Recent progress on the types of radio-NPs, their features, synthesis methods, and delivery techniques are discussed. The last part of the review focuses on the currently used dosimetry protocols and studies on the dosimetry of nanobrachytherapy applications using radio-NPs. The current challenges and future research directions on the role of radio-NPs in BT treatments are also discussed.

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Comparison of dosimetric accuracy of acuros XB and analytical anisotropic algorithm against Monte Carlo technique

Cited by 14 publications

References 20 publications

Evaluation of novel AI‐based extended field‐of‐view CT reconstructions

Evaluation of novel AI‐based extended field‐of‐view CT reconstructions

Technical Note: End‐to‐end verification of an MR‐Linac using a dynamic motion phantom

Recent Advances in Brachytherapy Using Radioactive Nanoparticles: An Alternative to Seed-Based Brachytherapy

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