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Massalha S, Kennedy J, Hussein E, Mahida B, Keidar Z. Cardiovascular Imaging in Women. Semin Nucl Med 2024; 54:191-205. [PMID: 38395672 DOI: 10.1053/j.semnuclmed.2024.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Accepted: 01/28/2024] [Indexed: 02/25/2024]
Abstract
Multimodality cardiovascular imaging is a cornerstone diagnostic tool in the diagnosis, risk stratification, and management of cardiovascular diseases, whether those involving the coronary tree, myocardial, or pericardial diseases in general and particularly in women. This manuscript aims to shed some light and summarize the very features of cardiovascular disease in women, explore their unique characteristics and discuss the role of cardiovascular imaging in ischemic heart disease and cardiomyopathies. The role of four imaging modalities will be discussed including nuclear medicine, echocardiography, noninvasive coronary angiography, and cardiac magnetic resonance.
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Affiliation(s)
- Samia Massalha
- Department of Cardiology, Rambam Health Care Campus, Haifa. Israel; Department of Nuclear Medicine, Rambam Health Care Campus, Haifa. Israel.
| | - John Kennedy
- Department of Cardiology, Rambam Health Care Campus, Haifa. Israel; Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Essam Hussein
- Department of Nuclear Medicine, Rambam Health Care Campus, Haifa. Israel
| | - Besma Mahida
- Nuclear Medicine BICHAT Hospital Assistance Publique Hôpitaux de Paris, Paris. France; LVTS, Inserm U1148, Équipe 4 (Imagerie Cardio-Vasculaire), Paris, France
| | - Zohar Keidar
- Department of Cardiology, Rambam Health Care Campus, Haifa. Israel; Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
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Tamam N, Sulieman A, Omer H, Toufig H, Alsaadi M, Salah H, Mattar EH, Khandaker MU, Bradley D. Assessment of breast dose and cancer risk for young females during CT chest and abdomen examinations. Appl Radiat Isot 2022; 190:110452. [DOI: 10.1016/j.apradiso.2022.110452] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 08/01/2022] [Accepted: 09/05/2022] [Indexed: 11/29/2022]
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Klein L, Liu C, Steidel J, Enzmann L, Knaup M, Sawall S, Maier A, Lell M, Maier J, Kachelrieß M. Patient-specific radiation risk-based tube current modulation for diagnostic CT. Med Phys 2022; 49:4391-4403. [PMID: 35421263 DOI: 10.1002/mp.15673] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 03/11/2022] [Accepted: 03/29/2022] [Indexed: 11/08/2022] Open
Abstract
PURPOSE Modern CT scanners use automatic exposure control (AEC) techniques, such as tube current modulation (TCM), to reduce dose delivered to patients while maintaining image quality. In contrast to conventional approaches that minimize the tube current time product of the CT scan, referred to as mAsTCM in the following, we herein propose a new method referred to as riskTCM which aims at reducing the radiation risk to the patient by taking into account the specific radiation risk of every dose-sensitive organ. METHODS For current mAsTCM implementations, the mAs-product is used as a surrogate for the patient dose. Thus they do not take into account the varying dose sensitivity of different organs. Our riskTCM framework assumes that a coarse CT reconstruction, an organ segmentation and an estimation of the dose distribution can be provided in real time, e.g. by applying machine learning techniques. Using this information riskTCM determines a tube current curve that minimizes a patient risk measure, e.g. the effective dose, while keeping the image quality constant. We retrospectively applied riskTCM to 20 patients covering all relevant anatomical regions and tube voltages from 70 kV to 150 kV. The potential reduction of effective dose at same image noise is evaluated as a figure of merit and compared to mAsTCM and to a situation with a constant tube current referred to as noTCM. RESULTS Anatomical regions like the neck, thorax, abdomen and the pelvis benefit from the proposed riskTCM. On average, a reduction of effective dose of about 23 % for the thorax, 31 % for the abdomen, 24 % for the pelvis, and 27% for the neck have been evaluated compared to today's state-of-the-art mAsTCM. For the head, the resulting reduction of effective dose is lower, about 13 % on average compared to mAsTCM. CONCLUSIONS With a risk-minimizing tube current modulation, significant higher reduction of effective dose compared to mAs-minimizing tube current modulation is possible. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Laura Klein
- Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Physics and Astronomy, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Chang Liu
- Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Jörg Steidel
- Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Physics and Astronomy, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Lucia Enzmann
- Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Physics and Astronomy, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Michael Knaup
- Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefan Sawall
- Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Medical Faculty, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
| | - Andreas Maier
- Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany
| | - Michael Lell
- Department of Radiology and Nuclear Medicine, Klinikum Nürnberg, Paracelsus Medical University, Nürnberg
| | - Joscha Maier
- Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marc Kachelrieß
- Division of X-Ray Imaging and CT, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Medical Faculty, Ruprecht-Karls-University Heidelberg, Heidelberg, Germany
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Huck SM, Fung GSK, Parodi K, Stierstorfer K. On the potential of ROI imaging in x-ray CT - A comparison of novel dynamic beam attenuators with current technology. Med Phys 2021; 48:3479-3499. [PMID: 33838055 DOI: 10.1002/mp.14879] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/24/2021] [Accepted: 03/29/2021] [Indexed: 12/30/2022] Open
Abstract
PURPOSE In this work, we explore the potential of region-of-interest (ROI) imaging in x-ray computed tomography (CT). Using two dynamic beam attenuator (DBA) concepts for fluence field modulation (FFM) previously developed, we investigate and evaluate the potential dose savings in comparison with current FFM technology. METHODS ROI imaging is a special application of FFM where the bulk of x-ray radiation is propagated toward a certain anatomical target (ROI), specified by the imaging task, while the surrounding tissue is spared from radiation. We introduce a criterion suitable to quantitatively describe the balance between image quality inside an ROI and total radiation dose with respect to a given ROI imaging task. It accounts for the mean image variance at the ROI and the effective patient dose calculated from Monte Carlo simulations. The criterion is further used to compile task-specific DBA trajectories determining the primary x-ray fluence, and eventually used for comparing different FFM techniques, namely the sheet-based dynamic beam attenuator (sbDBA), the z-aligned sbDBA (z-sbDBA), and an adjustable static operation mode of the z-sbDBA. Furthermore, two static bowtie filters and the influence of tube current modulation (TCM) are included in the comparison. RESULTS Our findings demonstrate by simulations that the presented trajectory optimization method determines reasonable DBA trajectories. The influence of TCM is strongly depending on the imaging task. The narrow bowtie filter allows for dose reductions of about 10% compared to the regular bowtie filter in the considered ROI imaging tasks. The DBAs are shown to realize substantially larger dose reductions. In our cardiac imaging scenario, the DBAs can reduce the effective dose by about 30% (z-sbDBA) or 60% (sbDBA). We can further verify that the noise characteristics are not adversely affected by the DBAs. CONCLUSION Our research demonstrates that ROI imaging using the presented DBA concepts is a promising technique toward a more patient- and task-specific CT imaging requiring lower radiation dose. Both the sbDBA and the z-sbDBA are potential technical solutions for realizing ROI imaging in x-ray CT.
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Affiliation(s)
- Sascha Manuel Huck
- Siemens Healthcare GmbH, Forchheim, Germany.,Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, Garching, Germany
| | | | - Katia Parodi
- Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, Garching, Germany
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Layman RR, Hardy AJ, Kim HJ, Chou EN, Bostani M, Cagnon C, Cody D, McNitt‐Gray M. A comparison of breast and lung doses from chest CT scans using organ-based tube current modulation (OBTCM) vs. Automatic tube current modulation (ATCM). J Appl Clin Med Phys 2021; 22:97-109. [PMID: 33939253 PMCID: PMC8130227 DOI: 10.1002/acm2.13198] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 01/12/2021] [Accepted: 01/20/2021] [Indexed: 12/11/2022] Open
Abstract
PURPOSE The purpose of this work was to estimate and compare breast and lung doses of chest CT scans using organ-based tube current modulation (OBTCM) to those from conventional, attenuation-based automatic tube current modulation (ATCM) across a range of patient sizes. METHODS Thirty-four patients (17 females, 17 males) who underwent clinically indicated CT chest/abdomen/pelvis (CAP) examinations employing OBTCM were collected from two multi-detector row CT scanners. Patient size metric was assessed as water equivalent diameter (Dw ) taken at the center of the scan volume. Breast and lung tissues were segmented from patient image data to create voxelized models for use in a Monte Carlo transport code. The OBTCM schemes for the chest portion were extracted from the raw projection data. ATCM schemes were estimated using a recently developed method. Breast and lung doses for each TCM scenario were estimated for each patient model. CTDIvol -normalized breast (nDbreast ) and lung (nDlung ) doses were subsequently calculated. The differences between OBTCM and ATCM normalized organ dose estimates were tested using linear regression models that included CT scanner and Dw as covariates. RESULTS Mean dose reduction from OBTCM in nDbreast was significant after adjusting for the scanner models and patient size (P = 0.047). When pooled with females and male patient, mean dose reduction from OBTCM in nDlung was observed to be trending after adjusting for the scanner model and patient size (P = 0.085). CONCLUSIONS One specific manufacturer's OBTCM was analyzed. OBTCM was observed to significantly decrease normalized breast relative to a modeled version of that same manufacturer's ATCM scheme. However, significant dose savings were not observed in lung dose over all. Results from this study support the use of OBTCM chest protocols for females only.
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Affiliation(s)
- Rick R. Layman
- Department of Imaging PhysicsThe University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | - Anthony J. Hardy
- Materials Engineering Division/Non‐destructive Evaluation GroupLivermore National LaboratoryLivermoreCA94550USA
| | - Hyun J. Kim
- Department of Radiological SciencesDavid Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCAUSA
| | - Ei Ne Chou
- Fielding School of Public HealthUniversity of California Los AngelesLos AngelesCAUSA
| | - Maryam Bostani
- Department of Radiological SciencesDavid Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCAUSA
- Physics and Biology in Medicine Graduate ProgramDavid Geffen School of MedicineUniversity of California Los AngelesLos AngelesCA90024USA
| | - Chris Cagnon
- Department of Radiological SciencesDavid Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCAUSA
- Physics and Biology in Medicine Graduate ProgramDavid Geffen School of MedicineUniversity of California Los AngelesLos AngelesCA90024USA
| | - Dianna Cody
- Department of Imaging PhysicsThe University of Texas MD Anderson Cancer CenterHoustonTXUSA
| | - Michael McNitt‐Gray
- Department of Radiological SciencesDavid Geffen School of MedicineUniversity of California, Los AngelesLos AngelesCAUSA
- Physics and Biology in Medicine Graduate ProgramDavid Geffen School of MedicineUniversity of California Los AngelesLos AngelesCA90024USA
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Mussmann BR, Mørup SD, Skov PM, Foley S, Brenøe AS, Eldahl F, Jørgensen GM, Precht H. Organ-based tube current modulation in chest CT. A comparison of three vendors. Radiography (Lond) 2020; 27:1-7. [PMID: 32402706 DOI: 10.1016/j.radi.2020.04.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 04/20/2020] [Accepted: 04/21/2020] [Indexed: 11/15/2022]
Abstract
INTRODUCTION Organ-based tube current modulation (OBTCM) is designed for anterior dose reduction in Computed Tomography (CT). The purpose was to assess dose reduction capability in chest CT using three organ dose modulation systems at different kVp settings. Furthermore, noise, diagnostic image quality and tumour detection was assessed. METHODS A Lungman phantom was scanned with and without OBTCM at 80-135/140 kVp using three CT scanners; Canon Aquillion Prime, GE Revolution CT and Siemens Somatom Flash. Thermo-luminescent dosimeters were attached to the phantom surface and all scans were repeated five times. Image noise was measured in three ROIs at the level of the carina. Three observers visually scored the images using a fivestep scale. A Wilcoxon Signed-Rank test was used for statistical analysis of differences. RESULTS Using the GE revolution CT scanner, dose reductions between 1.10 mSv (12%) and 1.56 mSv (24%) (p < 0.01) were found in the anterior segment and no differences posteriorly and laterally. Total dose reductions between 0.64 (8%) and 0.91 mSv (13%) were found across kVp levels (p < 0.00001). Maximum noise increase with OBTCM was 0.8 HU. With the Canon system, anterior dose reductions of 6-10% and total dose reduction of 0.74-0.76 mSv across kVp levels (p < 0.001) were found with a maximum noise increase of 1.1 HU. For the Siemens system, dose increased by 22-51% anteriorly; except at 100 kVp where no dose difference was found. Noise decreased by 1 to 1.5 HU. CONCLUSION Organ based tube current modulation is capable of anterior and total dose reduction with minimal loss of image quality in vendors that do not increase posterior dose. IMPLICATIONS FOR PRACTICE This research highlights the importance of being familiar with dose reduction technologies.
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Affiliation(s)
- B R Mussmann
- Department of Radiology, Odense University Hospital, Denmark; Department of Clinical Research, University of Southern Denmark; Faculty of Health Sciences, Oslo Metropolitan University, Norway.
| | - S D Mørup
- Conrad Research Programme, Centre for Applied Welfare Research, University College Lillebaelt, Denmark.
| | - P M Skov
- Department of Radiology, Odense University Hospital, Denmark.
| | - S Foley
- Radiography & Diagnostic Imaging, School of Medicine, University College Dublin, Ireland
| | - A S Brenøe
- Department of Radiology, Odense University Hospital, Denmark.
| | - F Eldahl
- Department of Radiology, Odense University Hospital, Denmark.
| | - G M Jørgensen
- Department of Radiology, Odense University Hospital, Denmark.
| | - H Precht
- Conrad Research Programme, Centre for Applied Welfare Research, University College Lillebaelt, Denmark; Medical Research Department, Odense University Hospital, Svendborg, Denmark.
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Kotiaho A, Manninen AL, Nikkinen J, Nieminen MT. COMPARISON OF ORGAN-BASED TUBE CURRENT MODULATION AND BISMUTH SHIELDING IN CHEST CT: EFFECT ON THE IMAGE QUALITY AND THE PATIENT DOSE. RADIATION PROTECTION DOSIMETRY 2019; 185:42-48. [PMID: 30544171 DOI: 10.1093/rpd/ncy242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Revised: 10/10/2018] [Accepted: 11/14/2018] [Indexed: 06/09/2023]
Abstract
The aim of the study was to compare the absorbed doses and image quality of organ-based tube current modulation (OBTCM) and bismuth shielding of breasts and thyroid against regular tube current modulation in chest CT scan. An anthropomorphic phantom and MOSFET dosemeters were used to evaluate absorbed doses. Image quality was assessed from HU and noise. Relative to the reference scan, the average absorbed dose reduction with OBTCM was 5.2% and with bismuth shields 24.2%. Difference in HU values compared to the reference varied between -4.1 and 4.2 HU in OBTCM scan and between -22.2 and 118.6 HU with bismuth shields. Image noise levels varied between 10.0 to 26.3 HU in the reference scan, from 9.6 to 27.7 HU for the OBTCM scan and from 11.9 to 43.9 HU in the bismuth scan. The use of bismuth shields provided greatest dose reduction compared to the investigated OBTCM.
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Affiliation(s)
- Antti Kotiaho
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
- Department of Radiology, Oulu University Hospital, Oulu, Finland
- Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland
| | | | - Juha Nikkinen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
- Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland
- Department of Oncology and Radiotherapy, Oulu University Hospital, Oulu, Finland
| | - Miika Tapio Nieminen
- Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland
- Department of Radiology, Oulu University Hospital, Oulu, Finland
- Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland
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Mehnati P, Malekzadeh R, Sooteh MY. Use of bismuth shield for protection of superficial radiosensitive organs in patients undergoing computed tomography: a literature review and meta-analysis. Radiol Phys Technol 2019; 12:6-25. [PMID: 30790174 DOI: 10.1007/s12194-019-00500-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 02/03/2019] [Accepted: 02/05/2019] [Indexed: 12/24/2022]
Abstract
The study aimed to assess the effect of bismuth (Bi) shielding on dose reduction and image quality in computed tomography (CT) through a literature review. A search was conducted in the following databases: Web of Science, PubMed, Google Scholar, and Scopus. Studies that reported estimated dose reduction with bismuth shielding during imaging of the eye, thyroid, and breast were included, and a meta-regression analysis was used to examine the influence of the CT scanner type on the dose reduction. The studies included a total of 237 patients and 34 pediatric and adult anthropomorphic phantoms for whom the radiation dose was reported. Bismuth shielding was recommended in 88.89% of the studies based on the maintenance of appropriate image quality under shielding. Noise associated with Bi shielding was 7.5%, 263%, and 23.5% for the eye, thyroid, and breast, respectively. The fixed-effects pooled estimate of dose reduction was 34% (95% CI: 13-55; p < 0.001) for the eye, 37% (95% CI 14-61; p < 0.001) for the thyroid, and 36% (95% CI 36-55; p < 0.001) for the breast. The image quality, usage of foams, CT scanner type, beam energies, and backscatter radiation were important factors that directly affected the efficacy of Bi shielding to reduce the radiation dose at the superficial radiosensitive organs.
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Affiliation(s)
- Parinaz Mehnati
- Medical Radiation Sciences Research Team, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran
- Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran
| | - Reza Malekzadeh
- Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran.
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran.
| | - Mohammad Yousefi Sooteh
- Department of Medical Physics, School of Medicine, Tabriz University of Medical Sciences, Tabriz, East Azerbaijan, Iran
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Franck C, Smeets P, Lapeire L, Achten E, Bacher K. Estimating the Patient-specific Dose to the Thyroid and Breasts and Overall Risk in Chest CT When Using Organ-based Tube Current Modulation. Radiology 2018; 288:164-169. [PMID: 29584596 DOI: 10.1148/radiol.2018170757] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To assess the potential dose reduction to the thyroid and breasts in chest computed tomography (CT) with organ-based tube current modulation (OBTCM). Materials and Methods In this retrospective study (from January 2015 to December 2016), the location of the breasts with respect to the reduced tube current zone was determined. With Monte Carlo simulations, patient-specific dose distributions of chest CT scans were calculated for 50 female patients (mean age, 53.7 years ± 17.5; range, 20-80 years). The potential dose reduction with OBTCM was assessed. In addition, simulations of clinical OBTCM scans were made for 17 of the 50 female patients (mean age, 43.8 years ± 17.1; range, 20-69 years). Posterior organs in the field of view were analyzed and lifetime attributable risk (LAR) of cancer incidence and mortality was estimated. Image quality between standard CT and OBTCM scans was compared. Results No women had all breast tissue within the reduced tube current zone. Dose reductions of 18% in the thyroid and 9% in the breasts were observed, whereas the doses in lung, liver, and kidney were 17%, 11%, and 26% higher. Overall, the LAR for cancer incidence was not significantly different between conventional and OBTCM scanning (P = .06). Image quality improved with OBTCM (P < .002). Conclusion The potential benefit of OBTCM to the female breast in chest CT is overestimated because of a limited reduced tube current zone; despite a 9% dose reduction to the female breast, posterior organs will absorb up to 26% more radiation, resulting in no reduction in radiation-induced malignancies. © RSNA, 2018.
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Affiliation(s)
- Caro Franck
- From the Department of Medical Physics, Ghent University, Profetuinstraat 86, 9000 Ghent, Belgium (C.F., K.B.); and Departments of Radiology (P.S., E.A.) and Medical Oncology (L.L.), Ghent University Hospital, Ghent, Belgium
| | - Peter Smeets
- From the Department of Medical Physics, Ghent University, Profetuinstraat 86, 9000 Ghent, Belgium (C.F., K.B.); and Departments of Radiology (P.S., E.A.) and Medical Oncology (L.L.), Ghent University Hospital, Ghent, Belgium
| | - Lore Lapeire
- From the Department of Medical Physics, Ghent University, Profetuinstraat 86, 9000 Ghent, Belgium (C.F., K.B.); and Departments of Radiology (P.S., E.A.) and Medical Oncology (L.L.), Ghent University Hospital, Ghent, Belgium
| | - Eric Achten
- From the Department of Medical Physics, Ghent University, Profetuinstraat 86, 9000 Ghent, Belgium (C.F., K.B.); and Departments of Radiology (P.S., E.A.) and Medical Oncology (L.L.), Ghent University Hospital, Ghent, Belgium
| | - Klaus Bacher
- From the Department of Medical Physics, Ghent University, Profetuinstraat 86, 9000 Ghent, Belgium (C.F., K.B.); and Departments of Radiology (P.S., E.A.) and Medical Oncology (L.L.), Ghent University Hospital, Ghent, Belgium
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Lopez-Rendon X, Zhang G, Coudyzer W, Develter W, Bosmans H, Zanca F. Do we need 3D tube current modulation information for accurate organ dosimetry in chest CT? Protocols dose comparisons. Eur Radiol 2017; 27:4490-4497. [PMID: 28526893 DOI: 10.1007/s00330-017-4863-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Revised: 03/29/2017] [Accepted: 04/20/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To compare the lung and breast dose associated with three chest protocols: standard, organ-based tube current modulation (OBTCM) and fast-speed scanning; and to estimate the error associated with organ dose when modelling the longitudinal (z-) TCM versus the 3D-TCM in Monte Carlo simulations (MC) for these three protocols. METHOD Five adult and three paediatric cadavers with different BMI were scanned. The CTDIvol of the OBTCM and the fast-speed protocols were matched to the patient-specific CTDIvol of the standard protocol. Lung and breast doses were estimated using MC with both z- and 3D-TCM simulated and compared between protocols. RESULTS The fast-speed scanning protocol delivered the highest doses. A slight reduction for breast dose (up to 5.1%) was observed for two of the three female cadavers with the OBTCM in comparison to the standard. For both adult and paediatric, the implementation of the z-TCM data only for organ dose estimation resulted in 10.0% accuracy for the standard and fast-speed protocols, while relative dose differences were up to 15.3% for the OBTCM protocol. CONCLUSION At identical CTDIvol values, the standard protocol delivered the lowest overall doses. Only for the OBTCM protocol is the 3D-TCM needed if an accurate (<10.0%) organ dosimetry is desired. KEY POINTS • The z-TCM information is sufficient for accurate dosimetry for standard protocols. • The z-TCM information is sufficient for accurate dosimetry for fast-speed scanning protocols. • For organ-based TCM schemes, the 3D-TCM information is necessary for accurate dosimetry. • At identical CTDI vol , the fast-speed scanning protocol delivered the highest doses. • Lung dose was higher in XCare than standard protocol at identical CTDI vol .
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Affiliation(s)
- Xochitl Lopez-Rendon
- Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, KU Leuven, Herestraat 49, Leuven, 3000, Belgium.
| | - Guozhi Zhang
- Department of Radiology, University Hospitals of the KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Walter Coudyzer
- Department of Radiology, University Hospitals of the KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Wim Develter
- Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, KU Leuven, Herestraat 49, Leuven, 3000, Belgium
| | - Hilde Bosmans
- Department of Imaging and Pathology, Division of Medical Physics & Quality Assessment, KU Leuven, Herestraat 49, Leuven, 3000, Belgium.,Department of Radiology, University Hospitals of the KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Federica Zanca
- Department of Radiology, University Hospitals of the KU Leuven, Herestraat 49, 3000, Leuven, Belgium
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Fu W, Tian X, Sturgeon GM, Agasthya G, Segars WP, Goodsitt MM, Kazerooni EA, Samei E. CT breast dose reduction with the use of breast positioning and organ-based tube current modulation. Med Phys 2017; 44:665-678. [DOI: 10.1002/mp.12076] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 10/31/2016] [Accepted: 12/14/2016] [Indexed: 12/11/2022] Open
Affiliation(s)
- Wanyi Fu
- Carl E. Ravin Advanced Imaging Laboratories; Department of Radiology; Department of Electrical and Computer Engineering; Duke University; Durham North Carolina 27705 USA
| | - Xiaoyu Tian
- Carl E. Ravin Advanced Imaging Laboratories; Department of Radiology; Department of Biomedical Engineering; Duke University; Durham North Carolina 27705 USA
| | - Gregory M. Sturgeon
- Carl E. Ravin Advanced Imaging Laboratories; Department of Radiology; Duke University; Durham North Carolina 27705 USA
| | - Greeshma Agasthya
- Carl E. Ravin Advanced Imaging Laboratories; Department of Radiology; Duke University; Durham North Carolina 27705 USA
| | - William Paul Segars
- Carl E. Ravin Advanced Imaging Laboratories; Department of Radiology; Department of Biomedical Engineering; Duke University; Durham North Carolina 27705 USA
| | | | - Ella A. Kazerooni
- Department of Radiology; University of Michigan; Ann Arbor Michigan 48109 USA
| | - Ehsan Samei
- Carl E. Ravin Advanced Imaging Laboratories; Department of Radiology; Medical Physics Graduate Program; Departments of Physics, Biomedical Engineering, and Electrical and Computer Engineering; Duke University; Durham North Carolina 27705 USA
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Tailor TD, Kicska GA, Jacobs JE, Pampaloni MH, Litmanovich DE, Reddy GP. Imaging of Heart Disease in Women. Radiology 2017; 282:34-53. [DOI: 10.1148/radiol.2016151643] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Breast dose reduction for chest CT by modifying the scanning parameters based on the pre-scan size-specific dose estimate (SSDE). Eur Radiol 2016; 27:2267-2274. [DOI: 10.1007/s00330-016-4618-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 09/12/2016] [Accepted: 09/22/2016] [Indexed: 01/20/2023]
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