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Fukunaga M, Matsubara K, Yamaguchi Y. [Organ and Effective Doses Using Automation Organ Dose Estimation Software for Lung Cancer Screening Using Low-dose Computed Tomography]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2022; 78:1176-1186. [PMID: 36058849 DOI: 10.6009/jjrt.2022-1205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
PURPOSE The purpose of this study was to evaluate the differences in the organ doses and the effective doses using three types of automated organ dose estimation software for low-dose computed tomography (CT) screening for lung cancer and to evaluate the correlations between each dose and size-specific dose estimates (SSDEs). METHODS Seventy-two adults who underwent low-dose CT screening for lung cancer were included, and the organ doses and the effective doses were calculated using each of automated organ dose estimation software. We evaluated differences between software for the organ doses and the effective doses and the correlations between each dose and SSDEs. RESULTS Differences in organ doses and effective doses were observed among the software. The organ doses showed a strong correlation (r=0.833-0.995) with SSDEs for organs within the scan range. The effective doses showed a strong correlation (r=0.830-0.970) with SSDEs, although there were significant differences among the software. CONCLUSION Although the organ doses and the effective doses differed between software, it may be possible to estimate them from SSDEs by using linear regression equations.
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Affiliation(s)
- Masaaki Fukunaga
- Department of Radiological Technology, Kurashiki Central Hospital
| | - Kosuke Matsubara
- Department of Quantum Medical Technology, Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University
| | - Yuki Yamaguchi
- Department of Radiological Technology, Kurashiki Central Hospital
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Begano D, Söderberg M, Bolejko A. TO USE OR NOT USE PATIENT SHIELDING ON PREGNANT WOMEN UNDERGOING CT PULMONARY ANGIOGRAPHY: A PHANTOM STUDY. RADIATION PROTECTION DOSIMETRY 2020; 189:458-465. [PMID: 32424428 PMCID: PMC7380303 DOI: 10.1093/rpd/ncaa059] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/19/2020] [Accepted: 04/03/2020] [Indexed: 05/16/2023]
Abstract
Pregnancy increases the risk of pulmonary embolism. Computed tomography pulmonary angiography (CTPA) is used for diagnosis. CT generates ionising radiation, and thus, abdominal shielding may be used. This phantom study investigated the effects of patient shielding and scan length reduction on the fetal and maternal ionising radiation dose from CTPA. The absorbed dose to the fetus was measured using thermoluminescent dosemeters. Estimated effective doses to the pregnant patient were based on the dose-length products. Shielding increased both the effective dose to the patient by 47% and the mean absorbed dose to the fetus (0.10 vs. 0.12 mGy; p < 0.001) compared with unshielded standard CTPA, as it affected the automatic exposure control. Shielded short CTPA marginally lowered only the mean fetal absorbed dose (0.03 vs. 0.02 mGy; p = 0.018). Shortening the scan reduced the fetal absorbed dose most effectively by 70% (0.10 vs. 0.03 mGy; p = 0.006), compared with the standard unshielded scan. Shielding modestly reduces fetal radiation dose but may compromise automatic exposure control, possibly increasing the maternal and fetal radiation dose. Shortening the scan is beneficial, assuming anatomical coverage is secured.
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Affiliation(s)
- Dino Begano
- Department of Medical Imaging and Physiology, Skåne University Hospital, Malmö SE-205 02, Sweden
| | - Marcus Söderberg
- Medical Radiation Physics, Department of Translational Medicine, Lund University, Malmö SE-205 02, Sweden
- Radiation Physics, Department of Hematology, Oncology and Radiation Physics, Skåne University Hospital, Malmö SE-205 02, Sweden
| | - Anetta Bolejko
- Department of Medical Imaging and Physiology, Skåne University Hospital, Malmö SE-205 02, Sweden
- Department of Health Sciences, Lund University, Lund SE-221 00, Sweden
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Hoye J, Sharma S, Zhang Y, Fu W, Ria F, Kapadia A, Segars WP, Wilson J, Samei E. Organ doses from CT localizer radiographs: Development, validation, and application of a Monte Carlo estimation technique. Med Phys 2019; 46:5262-5272. [PMID: 31442324 DOI: 10.1002/mp.13781] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 07/01/2019] [Accepted: 08/15/2019] [Indexed: 12/28/2022] Open
Abstract
PURPOSE The purpose of this study was to simulate and validate organ doses from different computed tomography (CT) localizer radiograph geometries using Monte Carlo methods for a population of patients. METHODS A Monte Carlo method was developed to estimate organ doses from CT localizer radiographs using PENELOPE. The method was validated by comparing dosimetry estimates with measurements using an anthropomorphic phantom imbedded with thermoluminescent dosimeters (TLDs) scanned on a commercial CT system (Siemens SOMATOM Flash). The Monte Carlo simulation platform was then applied to conduct a population study with 57 adult computational phantoms (XCAT). In the population study, clinically relevant chest localizer protocols were simulated with the x-ray tube in anterior-posterior (AP), right lateral, and PA positions. Mean organ doses and associated standard deviations (in mGy) were then estimated for all simulations. The obtained organ doses were studied as a function of patient chest diameter. Organ doses for breast and lung were compared across different views and represented as a percentage of organ doses from rotational CT scans. RESULTS The validation study showed an agreement between the Monte Carlo and physical TLD measurements with a maximum percent difference of 15.5% and a mean difference of 3.5% across all organs. The XCAT population study showed that breast dose from AP localizers was the highest with a mean value of 0.24 mGy across patients, while the lung dose was relatively consistent across different localizer geometries. The organ dose estimates were found to vary across the patient population, partially explained by the changes in the patient chest diameter. The average effective dose was 0.18 mGy for AP, 0.09 mGy for lateral, and 0.08 mGy for PA localizer. CONCLUSION A platform to estimate organ doses in CT localizer scans using Monte Carlo methods was implemented and validated based on comparison with physical dose measurements. The simulation platform was applied to a virtual patient population, where the localizer organ doses were found to range within 0.4%-8.6% of corresponding organ doses for a typical CT scan, 0.2%-3.3% of organ doses for a CT pulmonary angiography scan, and 1.1%-20.8% of organ doses for a low-dose lung cancer screening scan.
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Affiliation(s)
- Jocelyn Hoye
- Carl E. Ravin Advanced Imaging Laboratories, Medical Physics Graduate Program, Duke University, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - Shobhit Sharma
- Department of Physics, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - Yakun Zhang
- Clinical Imaging Physics Group, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - Wanyi Fu
- Department of Electrical and Computer Engineering, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - Francesco Ria
- Clinical Imaging Physics Group, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - Anuj Kapadia
- Departments of Radiology and Physics, Medical Physics Graduate Program, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - W Paul Segars
- Departments of Radiology, Biomedical Engineering, Medical Physics Graduate Program, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - Joshua Wilson
- Medical Physics Graduate Program, Clinical Imaging Physics Group, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
| | - Ehsan Samei
- Medical Physics Graduate Program, Clinical Imaging Physics Group, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA.,Departments of Radiology, Physics, Biomedical Engineering, and Electrical and Computer Engineering, Carl E. Ravin Advanced Imaging Laboratories, 2424 Erwin Rd, Suite 302, Durham, NC, 27705, USA
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