Verifying institutionally developed hybrid 3D-printed coaxial cylindrical phantom for patient-specific quality assurance in stereotactic body radiation therapy of hepatocellular carcinoma.

IF 1.7 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiological Physics and Technology Pub Date : 2024-03-01 Epub Date: 2024-01-03 DOI:10.1007/s12194-023-00769-4
M P Arun Krishnan, M Ummal Momeen
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Abstract

An accurate and reliable patient-specific quality assurance (PSQA) is crucial to ensure the safety and precision of Stereotactic body radiation therapy (SBRT) in treating Hepatocellular carcinoma (HCC). This study examines the effectiveness of a novel hybrid 3D-printed hybrid coaxial cylindrical phantom for PSQA in the SBRT of HCC. The study compared three different point dose verification techniques for PSQA: a traditional solid water phantom, two dimensional detector array I'MatriXX, and a newly developed hybrid 3D-printed phantom. Thirty SBRT HCC liver cases were examined using these techniques, and point doses were measured and compared to planned doses using the perpendicular composite method with solid water and I'MatriXX phantoms. Unlike the other two methods, the point dose was compared in true composite geometry using the hybrid 3D-printed phantom, which enhanced the accuracy and consistency of PSQA. The study aims to assess the statistical significance and accuracy of the hybrid 3D-printed phantom compared to other methods. The results showed all techniques complied with the institutional threshold criteria of within ± 3% for point-dose measurement discrepancies. The hybrid 3D-printed phantom was found to have better consistency with a lower standard deviation than traditional methods. Statistical analysis using Student's t-test revealed the statistical significance of the hybrid 3D-printed phantom technique in patient-specific point-dose assessments with a p-value < 0.01. The hybrid 3D-printed phantom developed institutionally is cost-effective and easy to handle. It has been proven to be a valuable tool for PSQA in SBRT for the treatment of HCC and has demonstrated its practicality and reliability.

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验证机构开发的混合三维打印同轴圆柱模型,用于肝细胞癌立体定向体放射治疗的患者特异性质量保证。
准确可靠的患者特异性质量保证(PSQA)对于确保立体定向体放射治疗(SBRT)治疗肝细胞癌(HCC)的安全性和精确性至关重要。本研究探讨了新型混合 3D 打印混合同轴圆柱模型在 HCC SBRT PSQA 中的有效性。研究比较了用于 PSQA 的三种不同点剂量验证技术:传统的固体水模型、二维探测器阵列 I'MatriXX 和新开发的混合 3D 打印模型。使用这些技术对 30 例 SBRT HCC 肝脏病例进行了检查,并使用垂直复合法测量了点剂量,并与使用固体水和 I'MatriXX 模型的计划剂量进行了比较。与其他两种方法不同的是,点剂量是通过混合三维打印模型在真正的复合几何中进行比较的,这提高了 PSQA 的准确性和一致性。研究旨在评估混合三维打印模型与其他方法相比的统计意义和准确性。结果显示,所有技术都符合机构规定的阈值标准,即点剂量测量差异在±3%以内。与传统方法相比,混合三维打印模型的一致性更好,标准偏差更低。使用学生 t 检验法进行的统计分析显示,混合三维打印模型技术在患者特定点剂量评估中具有统计学意义,p 值为 0.05。
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来源期刊
Radiological Physics and Technology
Radiological Physics and Technology RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
3.00
自引率
12.50%
发文量
40
期刊介绍: The purpose of the journal Radiological Physics and Technology is to provide a forum for sharing new knowledge related to research and development in radiological science and technology, including medical physics and radiological technology in diagnostic radiology, nuclear medicine, and radiation therapy among many other radiological disciplines, as well as to contribute to progress and improvement in medical practice and patient health care.
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Acknowledgment. Evaluation of calculation accuracy and computation time in a commercial treatment planning system for accelerator-based boron neutron capture therapy. Development of deep learning-based novel auto-segmentation for the prostatic urethra on planning CT images for prostate cancer radiotherapy. Effect of deep learning reconstruction on the assessment of pancreatic cystic lesions using computed tomography. Assessment of accuracy and repeatability of quantitative parameter mapping in MRI.
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