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학제간연구 과학기술학 뇌인지과학 기술정책 기타 복합학

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논문 기본 정보

자료유형
학술저널
저자정보
Yang Shu-Chin (Department of Radiation Oncology Chi Mei Medical Center Liouying Tainan TaiwanDepartment of Medical) Lo Su-Hua (Chiu Ho Medical System Co. LTD Taipei Taiwan) Shie Li-Tsuen (Department of Radiation Oncology Chi Mei Medical Center Liouying Tainan Taiwan) Lee Sung-Wei (Department of Radiation Oncology Chi Mei Medical Center Liouying Tainan Taiwan) Ho Sheng-Yow (Department of Radiation Oncology Chi Mei Medical Center Liouying Tainan TaiwanGraduate Institute of)
저널정보
한국의학물리학회 의학물리 의학물리 제32권 제3호
발행연도
2021.9
수록면
59 - 69 (11page)
DOI
10.14316/pmp.2021.32.3.59

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Purpose: The relationship between computed tomography (CT) number and electron density (ED) has been investigated in previous studies. However, the role of these measures for guiding cancer treatment remains unclear. Methods: The CT number was plotted against ED for different imaging protocols. The CT number was imported into ED tables for the Pinnacle treatment planning system (TPS) and was used to determine the effect on dose calculations. Conversion tables for radiation dose calculations were generated and subsequently monitored using a dosimeter to determine the effect of different CT scanning protocols and treatment sites. These tables were used to retrospectively recalculate the radiation therapy plans for 41 patients after an incorrect scanning protocol was inadvertently used. The gamma index was further used to assess the dose distribution, percentage dose difference (DD), and distance-to-agreement (DTA). Results: For densities <1.1 g/cm3, the standard deviation of the CT number was ±0.6% and the greatest variation was noted for brain protocol conditions. For densities >1.1 g/cm3, the standard deviation of the CT number was ±21.2% and the greatest variation occurred for the tube voltage and head and neck (H&N) protocol conditions. These findings suggest that the factors most affecting the CT number are the tube voltage and treatment site (brain and H&N). Gamma index analyses for the 41 retrospective clinical cases, as well as brain metastases and H&N tumors, showed gamma passing rates >90% and <90% for the passing criterion of 2%/2 and 1%/1 mm, respectively. Conclusions: The CT protocol should be carefully decided for TPS. The correct protocol should be used for the corresponding TPS based on the treatment site because this especially affects the dose distribution for brain metastases and H&N tumor recognition. Such steps could help reduce systematic errors.
#Computed tomography number #Electron density tables #Dose distribution #Gamma index #Imaging protocols

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참고문헌 (25)

참고문헌 신청
Das IJ / 2016 / Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning / J Med Phys 41:3~11 google schola Geise RA / 1977 / The use of CT scanners in megavoltage photon-beam therapy planning / Radiology 124:133~141 google schola Goodsitt MM / 2011 / Accuracies of the synthesized monochromatic CT numbers and effective atomic numbers obtained with a rapid kVp switching dual energy CT scanner / Med Phys 38:2222~2232 google schola Peijie Lv / 2015 / Combined Use of Automatic Tube Voltage Selection and Current Modulation with Iterative Reconstruction for CT Evaluation of Small Hypervascular Hepatocellular Carcinomas: Effect on Lesion Conspicuity and Image Quality / Korean Journal of Radiology 16(3):531~540 Crossref Guan H / 2002 / Accuracy of inhomogeneity correction in photon radiotherapy from CT scans with differ"ent settings / Phys Med Biol 47:N223~N231 google schola

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