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Horst KK, Cao JY, McCollough CH, El-Ali A, Frush DP, Siegel MJ, Ramirez-Giraldo JC, O'Donnell T, Bache S, Yu L. Multi-institutional Protocol Guidance for Pediatric Photon-counting CT. Radiology 2024; 311:e231741. [PMID: 38771176 DOI: 10.1148/radiol.231741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Performing CT in children comes with unique challenges such as greater degrees of patient motion, smaller and densely packed anatomy, and potential risks of radiation exposure. The technical advancements of photon-counting detector (PCD) CT enable decreased radiation dose and noise, as well as increased spatial and contrast resolution across all ages, compared with conventional energy-integrating detector CT. It is therefore valuable to review the relevant technical aspects and principles specific to protocol development on the new PCD CT platform to realize the potential benefits for this population. The purpose of this article, based on multi-institutional clinical and research experience from pediatric radiologists and medical physicists, is to provide protocol guidance for use of PCD CT in the imaging of pediatric patients.
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Affiliation(s)
- Kelly K Horst
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Joseph Y Cao
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Cynthia H McCollough
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Alex El-Ali
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Donald P Frush
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Marilyn J Siegel
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Juan Carlos Ramirez-Giraldo
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Tom O'Donnell
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Steve Bache
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
| | - Lifeng Yu
- From the Department of Radiology, Division of Pediatric Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905 (K.K.H., C.H.M., L.Y.); Department of Radiology, Division of Pediatric Radiology, Duke University Medical Center, Durham, NC (J.Y.C., D.P.F., S.B.); Department of Radiology, Division of Pediatric Radiology, NYU Grossman School of Medicine, New York, NY (A.E.A.); Edward Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (M.J.S.); and Siemens Medical Solutions USA, Malvern, Pa (J.C.R.G., T.O.)
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OUP accepted manuscript. Eur Heart J Cardiovasc Imaging 2022; 23:e279-e289. [DOI: 10.1093/ehjci/jeac048] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 03/02/2022] [Indexed: 11/14/2022] Open
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Muhammad N, Sabarudin A, Ismail N, Karim M. A systematic review and meta-analysis of radiation dose exposure from computed tomography examination of thorax-abdomen-pelvic regions among paediatric population. Radiat Phys Chem Oxf Engl 1993 2021. [DOI: 10.1016/j.radphyschem.2020.109148] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Sayyouh M, Lee E, Bhave N, Kim K, Agarwal PP. Imaging and Management of Coronary Artery Anomalies. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2020. [DOI: 10.1007/s11936-020-00836-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Booij R, van Straten M, Wimmer A, Budde RPJ. Automated patient positioning in CT using a 3D camera for body contour detection: accuracy in pediatric patients. Eur Radiol 2020; 31:131-138. [PMID: 32749591 PMCID: PMC7755627 DOI: 10.1007/s00330-020-07097-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 06/03/2020] [Accepted: 07/21/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To assess the accuracy of a 3D camera for body contour detection in pediatric patient positioning in CT compared with routine manual positioning by radiographers. METHODS AND MATERIALS One hundred and ninety-one patients, with and without fixation aid, which underwent CT of the head, thorax, and/or abdomen on a scanner with manual table height selection and with table height suggestion by a 3D camera were retrospectively included. The ideal table height was defined as the position at which the scanner isocenter coincides with the patient's isocenter. Table heights suggested by the camera and selected by the radiographer were compared with the ideal height. RESULTS For pediatric patients without fixation aid like a baby cradle or vacuum cushion and positioned by radiographers, the median (interquartile range) absolute table height deviation in mm was 10.2 (16.8) for abdomen, 16.4 (16.6) for head, 4.1 (5.1) for thorax-abdomen, and 9.7 (9.7) for thorax CT scans. The deviation was less for the 3D camera: 3.1 (4.7) for abdomen, 3.9 (6.3) for head, 2.2 (4.3) for thorax-abdomen, and 4.8 (6.7) for thorax CT scans (p < 0.05 for all body parts combined). CONCLUSION A 3D camera for body contour detection allows for automated and more accurate pediatric patient positioning than manual positioning done by radiographers, resulting in overall significantly smaller deviations from the ideal table height. The 3D camera may be also useful in the positioning of patients with fixation aid; however, evaluation of possible improvements in positioning accuracy was limited by the small sample size. KEY POINTS • A 3D camera for body contour detection allows for automated and accurate pediatric patient positioning in CT. • A 3D camera outperformed radiographers in positioning pediatric patients without a fixation aid in CT. • Positioning of pediatric patients with fixation aid was feasible using the 3D camera, but no definite conclusions were drawn regarding the positioning accuracy due to the small sample size.
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Affiliation(s)
- Ronald Booij
- Department of Radiology & Nuclear Medicine, Erasmus MC, P.O. Box 2240, 3000 CA, Rotterdam, The Netherlands.
| | - Marcel van Straten
- Department of Radiology & Nuclear Medicine, Erasmus MC, P.O. Box 2240, 3000 CA, Rotterdam, The Netherlands
| | - Andreas Wimmer
- Computed Tomography Division, Siemens Healthineers, Forchheim, Germany
| | - Ricardo P J Budde
- Department of Radiology & Nuclear Medicine, Erasmus MC, P.O. Box 2240, 3000 CA, Rotterdam, The Netherlands
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Abstract
OBJECTIVE. Pediatric CT angiography (CTA) presents unique challenges compared with adult CTA. Because of the ionizing radiation exposure, CTA should be used judiciously in children. The pearls offered here are observations gleaned from the authors' experience in the use of pediatric CTA. We also present some potential follies to be avoided. CONCLUSION. Understanding the underlying principles and paying meticulous attention to detail can substantially optimize dose and improve the diagnostic quality of pediatric CTA.
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Xu Y, Zhang TT, Hu ZH, Li J, Hou HJ, Xu ZS, He W. Effect of iterative reconstruction techniques on image quality in low radiation dose chest CT: a phantom study. ACTA ACUST UNITED AC 2020; 25:442-450. [PMID: 31650970 DOI: 10.5152/dir.2019.18539] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
PURPOSE We aimed to evaluate the quality of chest computed tomography (CT) images obtained with low-dose CT using three iterative reconstruction (IR) algorithms. METHODS Two 64-detector spiral CT scanners (HDCT and iCT) were used to scan a chest phantom containing 6 ground-glass nodules (GGNs) at 11 radiation dose levels. CT images were reconstructed by filtered back projection or three IR algorithms. Reconstructed images were analyzed for CT values, average noise, contrast-to-noise ratio (CNR) values, subjective image noise, and diagnostic acceptability of the GGNs. Repeated-measures analysis of variance was used for statistical analyses. RESULTS Average noise decreased and CNR increased with increasing radiation dose when the same reconstruction algorithm was applied. Average image noise was significantly lower when reconstructed with MBIR than with iDOSE4 at the same low radiation doses. The two radiologists showed good interobserver consistency in image quality with kappa 0.83. A significant relationship was found between image noise and diagnostic acceptability of the GGNs. CONCLUSION Three IR algorithms are able to reduce the image noise and improve the image quality of low-dose CT. In the same radiation dose, the low-dose CT image quality reconstructed with MBIR algorithms is better than that of other IR algorithms.
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Affiliation(s)
- Yan Xu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Ting-Ting Zhang
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Zhi-Hai Hu
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Juan Li
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hong-Jun Hou
- Department of Radiology, Weihai Wendeng Central Hospital, Weihai, Shandong, China
| | - Zu-Shan Xu
- Department of Radiology, Weihai Wendeng Central Hospital, Weihai, Shandong, China
| | - Wen He
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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Frommelt P, Lopez L, Dimas VV, Eidem B, Han BK, Ko HH, Lorber R, Nii M, Printz B, Srivastava S, Valente AM, Cohen MS. Recommendations for Multimodality Assessment of Congenital Coronary Anomalies: A Guide from the American Society of Echocardiography: Developed in Collaboration with the Society for Cardiovascular Angiography and Interventions, Japanese Society of Echocardiography, and Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr 2020; 33:259-294. [PMID: 32143778 DOI: 10.1016/j.echo.2019.10.011] [Citation(s) in RCA: 65] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
- Peter Frommelt
- Children's Hospital of Wisconsin and the Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Leo Lopez
- Stanford University, Palo Alto, California
| | | | | | - B Kelly Han
- Children's Minnesota and the Minneapolis Heart Institute, Minneapolis, Minnesota
| | - H Helen Ko
- Kravis Children's Hospital, Mount Sinai Medical Center, New York, New York
| | - Richard Lorber
- Baylor College of Medicine, Children's Hospital of San Antonio, San Antonio, Texas
| | - Masaki Nii
- Shizuoka Children's Hospital, Shizuoka, Shizuoka, Japan
| | - Beth Printz
- University of California San Diego and Rady Children's Hospital, San Diego, California
| | | | - Anne Marie Valente
- Boston Children's Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Meryl S Cohen
- The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
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Automatic Tube Current Modulation and Tube Voltage Selection in Pediatric Computed Tomography: A Phantom Study on Radiation Dose and Image Quality. Invest Radiol 2019; 54:265-272. [PMID: 30562273 PMCID: PMC6484681 DOI: 10.1097/rli.0000000000000537] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVES The aim of this study was to investigate the effects of a modern automatic tube current modulation (ATCM) and automatic tube voltage selection (ATVS) system on radiation dose and image quality in pediatric head, and torso computed tomography (CT) examinations for various clinical indications. MATERIALS AND METHODS Four physical anthropomorphic phantoms that represent the average individual as neonate, 1-year-old, 5-year-old, and 10-year-old child were used. Standard head, thorax, and abdomen/pelvis acquisitions were performed with (1) fixed tube current, (2) ATCM, and (3) ATVS. Acquisitions were performed at various radiation dose levels to generate images at different levels of quality. Reference volume CT dose index (CTDIvol), reference image noise, and reference contrast-to-noise ratios were determined. The potential dose reductions with ATCM and ATVS were assessed. RESULTS The percent reduction of CTDIvol with ATCM ranged from 8% to 24% for head, 16% to 39% for thorax, and 25% to 41% for abdomen/pelvis. The percent reduction of CTDIvol with ATVS varied on the clinical indication. In CT angiography, ATVS resulted to the highest dose reduction, which was up to 70% for head, 77% for thorax, and 34% for abdomen/pelvis. In noncontrast examinations, ATVS increased dose by up to 21% for head, whereas reduced dose by up to 34% for thorax and 48% for abdomen/pelvis. CONCLUSIONS In pediatric CT, the use of ATCM significantly reduces radiation dose and maintains image noise. The additional use of ATVS reduces further the radiation dose for thorax and abdomen/pelvis, and maintains contrast-to-noise ratio for the specified clinical diagnostic task.
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Hojreh A, Homolka P, Gamper J, Unterhumer S, Kienzl-Palma D, Balassy C, Wrba T, Prosch H. Automated tube voltage selection in pediatric non-contrast chest CT. PLoS One 2018; 13:e0204794. [PMID: 30281614 PMCID: PMC6169939 DOI: 10.1371/journal.pone.0204794] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 09/15/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Modern CT scanners provide automatic dose adjustment systems, which are promising options for reducing radiation dose in pediatric CT scans. Their impact on patient dose, however, has not been investigated sufficiently thus far. OBJECTIVE To evaluate automated tube voltage selection (ATVS) in combination with automated tube current modulation (ATCM) in non-contrast pediatric chest CT, with regard to the diagnostic image quality. MATERIALS AND METHODS There were 160 non-contrast pediatric chest CT scans (8.7±5.4 years) analyzed retrospectively without and with ATVS. Correlations of volume CT Dose Index (CTDIvol) and effective diameter, with and without ATVS, were compared using Fisher's z-transformation. Image quality was assessed by mean signal-difference-to-noise ratios (SDNR) in the aorta and in the left main bronchus using the independent samples t-test. Two pediatric radiologists and a general radiologist rated overall subjective Image quality. Readers' agreement was assessed using weighted kappa coefficients. A p value <0.05 was considered significant. RESULTS CTDIvol correlation with the effective diameter was r = 0.62 without and r = 0.80 with ATVS (CI: -0.04 to -0.60; p = 0.025). Mean SDNR was 10.88 without and 10.03 with ATVS (p = 0.0089). Readers' agreement improved with ATVS (weighted kappa between pediatric radiologists from 0.1 (0.03-0.16) to 0.27 (0.09-0.45) with ATVS; between general and each pediatric radiologist from 0.1 (0.06-0.14) to 0.12 (0.05-0.20), and from 0.22 (0.11-0.34) to 0.36 (0.24-0.49)). CONCLUSION ATVS, combined with ATCM, results in a radiation dose reduction for pediatric non-contrast chest CT without a loss of diagnostic image quality and prevents errors in manual tube voltage setting, and thus protecting larger children against an unnecessarily high radiation exposure.
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Affiliation(s)
- Azadeh Hojreh
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
- * E-mail:
| | - Peter Homolka
- Centre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria
| | - Jutta Gamper
- Centre for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria
| | - Sylvia Unterhumer
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Daniela Kienzl-Palma
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Csilla Balassy
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Thomas Wrba
- IT-Systems & Communications, IT4Science, Medical University of Vienna, Vienna, Austria
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
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Hill KD, Frush DP, Han BK, Abbott BG, Armstrong AK, DeKemp RA, Glatz AC, Greenberg SB, Herbert AS, Justino H, Mah D, Mahesh M, Rigsby CK, Slesnick TC, Strauss KJ, Trattner S, Viswanathan MN, Einstein AJ. Radiation Safety in Children With Congenital and Acquired Heart Disease: A Scientific Position Statement on Multimodality Dose Optimization From the Image Gently Alliance. JACC Cardiovasc Imaging 2017; 10:797-818. [PMID: 28514670 PMCID: PMC5542588 DOI: 10.1016/j.jcmg.2017.04.003] [Citation(s) in RCA: 85] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Revised: 04/25/2017] [Accepted: 04/28/2017] [Indexed: 02/07/2023]
Abstract
There is a need for consensus recommendations for ionizing radiation dose optimization during multimodality medical imaging in children with congenital and acquired heart disease (CAHD). These children often have complex diseases and may be exposed to a relatively high cumulative burden of ionizing radiation from medical imaging procedures, including cardiac computed tomography, nuclear cardiology studies, and fluoroscopically guided diagnostic and interventional catheterization and electrophysiology procedures. Although these imaging procedures are all essential to the care of children with CAHD and have contributed to meaningfully improved outcomes in these patients, exposure to ionizing radiation is associated with potential risks, including an increased lifetime attributable risk of cancer. The goal of these recommendations is to encourage informed imaging to achieve appropriate study quality at the lowest achievable dose. Other strategies to improve care include a patient-centered approach to imaging, emphasizing education and informed decision making and programmatic approaches to ensure appropriate dose monitoring. Looking ahead, there is a need for standardization of dose metrics across imaging modalities, so as to encourage comparative effectiveness studies across the spectrum of CAHD in children.
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Affiliation(s)
- Kevin D Hill
- Department of Pediatrics, Duke University Medical Center, Durham, North Carolina (Image Gently Alliance representative)
| | - Donald P Frush
- Department of Radiology, Duke University Medical Center, Durham, North Carolina (Image Gently Alliance and SPR representative)
| | - B Kelly Han
- Department of Pediatric Cardiology, Children's Heart Clinic at The Children's Hospitals and Clinics of Minnesota and the Minneapolis Heart Institute, Minneapolis, Minnesota (SCCT representative)
| | - Brian G Abbott
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, Rhode Island (ASNC representative)
| | - Aimee K Armstrong
- Department of Pediatrics, Nationwide Children's Hospital, Ohio State University, Columbus, Ohio (ACC representative)
| | - Robert A DeKemp
- Department of Medicine, University of Ottawa Heart Institute, Ottawa, Ontario, Canada (SNMMI representative)
| | - Andrew C Glatz
- Department of Pediatrics, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania (Image Gently Alliance representative)
| | - S Bruce Greenberg
- Department of Radiology, Arkansas Children's Hospital, Little Rock, Arkansas (NASCI representative)
| | - Alexander Sheldon Herbert
- Department of Radiology, New York-Presbyterian Morgan Stanley Children's Hospital, New York, New York (ASRT representative)
| | - Henri Justino
- Department of Pediatrics, Texas Children's Hospital, Baylor College of Medicine, Houston, Texas (SCAI representative)
| | - Douglas Mah
- Department of Pediatrics, Boston Children's Hospital, Boston, Massachusetts (PACES representative)
| | - Mahadevappa Mahesh
- Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland (AAPM representative)
| | - Cynthia K Rigsby
- Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois; Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois (ACR representative)
| | - Timothy C Slesnick
- Department of Pediatrics, Children's Healthcare of Atlanta, Emory University School of Medicine, Atlanta, Georgia (AAP representative)
| | - Keith J Strauss
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio (Image Gently Alliance Representative)
| | - Sigal Trattner
- Division of Cardiology, Department of Medicine, Columbia University Medical Center, New York, New York (Image Gently Alliance representative)
| | - Mohan N Viswanathan
- Department of Internal Medicine, Stanford University, Stanford, California (HRS representative)
| | - Andrew J Einstein
- Division of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Medical Center and New York-Presbyterian Hospital, New York, New York (Image Gently Alliance representative).
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A Comparison of the Image Quality and Radiation Dose With Routine Computed Tomography and the Latest Gemstone Spectral Imaging Combination of Different Scanning Protocols in Computed Tomography Angiography of the Kidney. J Comput Assist Tomogr 2017; 41:263-270. [PMID: 27824666 DOI: 10.1097/rct.0000000000000510] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The objective of our study was to compare the image quality and radiation dose of computed tomography angiography (CTA) of the kidney in patients with different body mass indexes using routine CT and the latest gemstone spectral imaging (GSI) combination of different scanning protocols with the adaptive statistical iterative reconstruction 2.0 algorithm. METHODS A total of 90 patients who had undergone a CTA of the kidney were divided into 3 groups (A, B, and C), with 30 patients in each group. Group A underwent a routine CT examination, whereas groups B and C underwent GSI with different scanning protocols. All images were restructured using the adaptive statistical iterative reconstruction 2.0. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of all images were calculated when the kidney CTA was completed. Each subjective image evaluation used a 5-point scoring method and was conducted by 2 independent radiologists. The CT dose index of volume and the dose-length product were recorded, and the mean value was calculated. The dose-length product was converted to the effective dose. All data were compared with a 1-way analysis of variance. RESULTS The SNR, CNR, and subjective image quality in group A were significantly lower than those in groups B and C (P < 0.01). There were no significant differences in SNR, CNR, and subjective image quality between groups B and C. The effective dose of group C decreased by 46.05% and 15.03% relative to those of groups A and B, respectively (P < 0.01). CONCLUSIONS The latest GSI with different scanning protocols can more effectively reduce the radiation dose than can the routine CT scan mode for a kidney CTA while still maintaining diagnostic image quality.
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Tesche C, De Cecco CN, Vliegenthart R, Albrecht MH, Varga-Szemes A, Duguay TM, Ebersberger U, Bayer RR, Canstein C, Schmidt B, Allmendinger T, Litwin SE, Morris PB, Flohr TG, Hoffmann E, Schoepf UJ. Accuracy and Radiation Dose Reduction Using Low-Voltage Computed Tomography Coronary Artery Calcium Scoring With Tin Filtration. Am J Cardiol 2017; 119:675-680. [PMID: 27986261 DOI: 10.1016/j.amjcard.2016.10.051] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Revised: 10/17/2016] [Accepted: 10/17/2016] [Indexed: 11/26/2022]
Abstract
This study prospectively investigated the accuracy and radiation dose reduction of CT coronary artery calcium scoring (CACS) using a 100 kVp acquisition protocol with tin filtration (Sn100 kVp) compared with the standard 120 kVp acquisition protocol; 70 patients (59% men, 62.1 ± 10.7 years) who underwent a clinically indicated CACS acquisition using the standard 120 kVp protocol on a third-generation dual-source CT system were enrolled. An additional Sn100 kVp CACS scan was performed. Agatston scores and categories, percentile-based risk categorization, and radiation dose estimates were derived from 120 and Sn100 kVp studies and compared. Median Agatston scores from the Sn100 and 120 kVp acquisitions were 38.2 and 41.2, respectively (p <0.0001). Excellent correlation of Agatston scores was found between the 2 acquisitions (r = 0.99, p <0.0001). Although the Agatston scores were systematically lower with Sn100 than with 120 kVp, the comparison of Agatston score categories and percentile-based cardiac risk categories showed excellent agreement (κ = 0.98 and κ = 0.98). Image noise was 26.3 ± 5.7 Hounsfield units in Sn100 kVp and 17.6 ± 4.1 Hounsfield units in 120 kVP scans (p <0.0001). The dose-length product was 14.1 ± 3.7 mGy·cm with Sn100 kVp and 58.5 ± 23.5 mGy·cm with 120 kVp scans (p <0.0001), resulting in a significantly lower effective radiation dose (0.19 ± 0.05 vs 0.82 ± 0.32 mSv, p <0.0001) for Sn100 kVp scans. CACS using a low-voltage tin filtration protocol shows excellent correlation and agreement with the standard method with regard to the Agatston score and subsequent cardiac risk categorization, while achieving a 75% reduction in radiation dose.
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CT angiography of the kidney using routine CT and the latest Gemstone Spectral Imaging combination of different noise indexes: image quality and radiation dose. Radiol Med 2017; 122:327-336. [DOI: 10.1007/s11547-017-0739-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Accepted: 02/06/2017] [Indexed: 12/12/2022]
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MacDougall RD, Kleinman PL, Yu L, Lee EY. Pediatric thoracic CT angiography at 70 kV: a phantom study to investigate the effects on image quality and radiation dose. Pediatr Radiol 2016; 46:1114-9. [PMID: 26987734 DOI: 10.1007/s00247-016-3588-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2015] [Revised: 01/13/2016] [Accepted: 02/16/2016] [Indexed: 10/22/2022]
Abstract
BACKGROUND Studies have demonstrated that 70-kilovolt (kV) imaging enhances the contrast of iodine, potentially affording a reduction in radiation dose while maintaining the contrast-to-noise ratio (CNR). There is a maximum amount of image noise beyond which increased contrast does not improve structure visualization. Thus, noise should be constrained during protocol optimization. OBJECTIVE This phantom study investigated the effect of 70-kV imaging for pediatric thoracic CT angiography on image quality and radiation dose in a pediatric population when a noise constraint was considered. MATERIALS AND METHODS We measured contrast and noise using anthropomorphic thoracic phantoms ranging in size from newborn age equivalent to 10-year-old age equivalent. We inserted contrast rods into the phantoms to simulate injected contrast material used in a CT angiography study. The image-quality metric "iodine CNR with a noise constraint" was used to determine the relative dose factor for each phantom size, kV setting (70-140 kV) and noise constraint (1.00-1.20). A noise constraint of 1.20 indicates that noise should not increase by more than 20% of the noise level in images performed at the reference kV, selected to be 80 kV in this study. The relative dose factor can be applied to the original dose obtained at 80 kV in order to maintain iodine CNR with the noise constraint. A relative dose factor <1.0 indicates potential for dose reduction while a relative dose factor >1.0 indicates a dose penalty. RESULTS Iodine contrast was highest for 70 kV and decreased with higher kV settings for all phantom sizes. The relative dose factor at 70 kV was <1.0 for all noise constraint >1.0, indicating potential for dose reduction, for the newborn, 1-year-old and 5-year-old age-equivalent phantom sizes. For the 10-year-old age-equivalent phantom, relative dose factor at 70 kV=1.22, 1.11, 1.01, 0.92 and 0.83 for noise constraint=1.00, 1.05, 1.10, 1.15, 1.20, respectively, indicating a dose penalty for noise constraint ≤1.10 and potential for dose reduction for noise constraint >1.10. CONCLUSION Using 70 kV does allow for radiation dose reduction if the radiologist is willing to accept a higher level of image noise as a trade-off for increased vessel contrast. This increase in noise is small (<5%) for the nominal newborn, 1- and 5-year-old but is >10% for the 10-year-old. Therefore, we recommend limiting 70 kV thoracic CT angiography to newborn through 5-year-old patients.
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Affiliation(s)
- Robert D MacDougall
- Department of Radiology, Harvard Medical School, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA.
| | - Patricia L Kleinman
- Department of Radiology, Harvard Medical School, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA
| | - Lifeng Yu
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Edward Y Lee
- Department of Radiology, Harvard Medical School, Boston Children's Hospital, 300 Longwood Ave., Boston, MA, 02115, USA
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Automated tube voltage selection for radiation dose and contrast medium reduction at coronary CT angiography using 3(rd) generation dual-source CT. Eur Radiol 2016; 26:3608-16. [PMID: 26847044 DOI: 10.1007/s00330-015-4191-4] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Revised: 12/09/2015] [Accepted: 12/22/2015] [Indexed: 10/22/2022]
Abstract
OBJECTIVES To investigate the relationship between automated tube voltage selection (ATVS) and body mass index (BMI) and its effect on image quality and radiation dose of coronary CT angiography (CCTA). METHODS We evaluated 272 patients who underwent CCTA with 3(rd) generation dual-source CT (DSCT). Prospectively ECG-triggered spiral acquisition was performed with automated tube current selection and advanced iterative reconstruction. Tube voltages were selected by ATVS (70-120 kV). BMI, effective dose (ED), and vascular attenuation in the coronary arteries were recorded. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Five-point scales were used for subjective image quality analysis. RESULTS Image quality was rated good to excellent in 98.9 % of examinations without significant differences for proximal and distal attenuation (all p ≥ .0516), whereas image noise was rated significantly higher at 70 kV compared to ≥100 kV (all p < .0266). However, no significant differences were observed in SNR or CNR at 70-120 kV (all p ≥ .0829). Mean ED at 70-120 kV was 1.5 ± 1.2 mSv, 2.4 ± 1.5 mSv, 3.6 ± 2.7 mSv, 5.9 ± 4.0 mSv, 7.9 ± 4.2 mSv, and 10.7 ± 4.1 mSv, respectively (all p ≤ .0414). Correlation analysis showed a moderate association between tube voltage and BMI (r = .639). CONCLUSION ATVS allows individual tube voltage adaptation for CCTA performed with 3(rd) generation DSCT, resulting in significantly decreased radiation exposure while maintaining image quality. KEY POINTS • Automated tube voltage selection allows an individual tube voltage adaption in CCTA. • A tube voltage-based reduction of contrast medium volume is feasible. • Image quality was maintained while radiation exposure was significantly decreased. • A moderate association between tube voltage and body mass index was found.
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Boos J, Aissa J, Lanzman RS, Heusch P, Schimmöller L, Schleich C, Thomas C, Antoch G, Kröpil P. CT angiography of the aorta using 80 kVp in combination with sinogram-affirmed iterative reconstruction and automated tube current modulation: Effects on image quality and radiation dose. J Med Imaging Radiat Oncol 2016; 60:187-93. [DOI: 10.1111/1754-9485.12425] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2015] [Accepted: 11/04/2015] [Indexed: 01/16/2023]
Affiliation(s)
- Johannes Boos
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Joel Aissa
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Rotem S Lanzman
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Philipp Heusch
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Lars Schimmöller
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Christoph Schleich
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Christoph Thomas
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Gerald Antoch
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
| | - Patric Kröpil
- Department of Diagnostic and Interventional Radiology; Medical Faculty; University Dusseldorf; Dusseldorf Germany
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Booij R, Dijkshoorn ML, van Straten M, du Plessis FA, Budde RP, Moelker A, Krestin GP, Ouhlous M. Cardiovascular imaging in pediatric patients using dual source CT. J Cardiovasc Comput Tomogr 2016; 10:13-21. [DOI: 10.1016/j.jcct.2015.10.003] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2015] [Revised: 09/01/2015] [Accepted: 10/14/2015] [Indexed: 10/22/2022]
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Approaches to ultra-low radiation dose coronary artery calcium scoring based on 3rd generation dual-source CT: A phantom study. Eur J Radiol 2016; 85:39-47. [DOI: 10.1016/j.ejrad.2015.10.023] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 08/26/2015] [Accepted: 10/30/2015] [Indexed: 11/19/2022]
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Han BK, Rigsby CK, Leipsic J, Bardo D, Abbara S, Ghoshhajra B, Lesser JR, Raman SV, Crean AM, Nicol ED, Siegel MJ, Hlavacek A. Computed Tomography Imaging in Patients with Congenital Heart Disease, Part 2: Technical Recommendations. An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT). J Cardiovasc Comput Tomogr 2015; 9:493-513. [DOI: 10.1016/j.jcct.2015.07.007] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 07/17/2015] [Indexed: 02/06/2023]
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Computed Tomography Imaging in Patients with Congenital Heart Disease Part I: Rationale and Utility. An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT). J Cardiovasc Comput Tomogr 2015; 9:475-92. [DOI: 10.1016/j.jcct.2015.07.004] [Citation(s) in RCA: 97] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2015] [Accepted: 07/17/2015] [Indexed: 12/16/2022]
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Spearman JV, Schoepf UJ, Rottenkolber M, Driesser I, Canstein C, Thierfelder KM, Krazinski AW, De Cecco CN, Meinel FG. Effect of Automated Attenuation-based Tube Voltage Selection on Radiation Dose at CT: An Observational Study on a Global Scale. Radiology 2015; 279:167-74. [PMID: 26473641 DOI: 10.1148/radiol.2015141507] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
PURPOSE To evaluate the effect of automated tube voltage selection (ATVS) on radiation dose at computed tomography (CT) worldwide encompassing all body regions and types of CT examinations. MATERIALS AND METHODS No patient information was accessed; therefore, institutional review board approval was not sought. Data from 86 centers across the world were analyzed. All CT interactions were automatically collected and transmitted to the CT vendor during two 6-week periods immediately before and 2 weeks after implementation of ATVS. A total of 164 323 unique CT studies were analyzed. Studies were categorized by body region and type of examination. Tube voltage and volume CT dose index (CTDIvol) were compared between examinations performed with ATVS and those performed before ATVS implementation. Descriptive statistical methods and multilevel linear regression models were used for analysis. RESULTS Across all types of CT examinations and body regions, CTDIvol was 14.7% lower in examinations performed with ATVS (n = 30 313) than in those performed before ATVS implementation (n = 79 275). Relative reductions in mean CTDIvol were most notable for temporal bone CT (-56.1%), peripheral runoff CT angiography (-48.6%), CT of the paranasal sinus (-39.6%), cerebral or carotid CT angiography (-36.4%), coronary CT angiography (-25.1%), and head CT (-23.9%). An increase in mean CTDIvol was observed for renal stone protocols (26.2%) and thoracic or lumbar spine examinations (6.6%). In the multilevel model with fixed effects ATVS and examination type, and the interaction of these variables and the random effect country, a significant influence on CTDIvol for all fixed efects was revealed (ATVS, P = .0031; examination type, P < .0001; interaction term, P < .0001). CONCLUSION ATVS significantly reduces radiation dose across most, but not all, body regions and types of CT examinations.
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Affiliation(s)
- James V Spearman
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - U Joseph Schoepf
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Marietta Rottenkolber
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Ivo Driesser
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Christian Canstein
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Kolja M Thierfelder
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Aleksander W Krazinski
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Carlo N De Cecco
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
| | - Felix G Meinel
- From the Division of Cardiovascular Imaging, Department of Radiology and Radiological Science (J.V.S., U.J.S., A.W.K., C.N.D.C., F.G.M.) and Division of Cardiology, Department of Medicine (U.J.S.), Medical University of South Carolina, 25 Courtenay Dr, MSC 226, Charleston, SC 29425; Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany (M.R.); Healthcare Division, Computed Tomography, Siemens, Forchheim, Germany (I.D.); Siemens Medical Solutions USA, Malvern, Pa (C.C.); Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital, Munich, Germany (K.M.T., F.G.M.); and Department of Radiological Sciences, Oncology and Pathology, University of Rome "Sapienza"-Polo Pontino, Latina, Italy (C.N.D.C.)
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Automated Tube Potential Selection as a Method of Dose Reduction for CT of the Neck: First Clinical Results. AJR Am J Roentgenol 2015; 204:1049-54. [PMID: 25905940 DOI: 10.2214/ajr.14.12975] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The objective of our study was to investigate whether the use of a software-based automated tube potential selection (ATPS) CT neck protocol can result in radiation dose reduction as compared with a set 120-kV protocol without a statistically significant reduction in image quality. MATERIALS AND METHODS Three hundred sixty-four patients (median age, 52 years) underwent CT of the neck. Group 1 (n = 320) underwent CT with ATPS with 80, 100, or 120 kV. Group 2 (n = 44) was examined with the standard CT protocol at 120 kV. Attenuation, image background noise, signal-to-noise ratio (SNR), dose-length product (DLP), volume CT dose index (CTDIvol), body mass index (BMI [weight in kilograms divided by the square of height in meters]), and subjective image quality (5-point Likert scale, two readers in consensus) were analyzed. RESULTS A tube potential of 100 kV was selected in 279 patients, 120 kV in 40 patients, and 80 kV in one patient of the ATPS group. A significant correlation was found for selected tube potential and BMI (80 kV, BMI = 20.4; 100 kV, mean BMI = 24.2; 120 kV, BMI = 28.6; r = 0.28, p < 0.01). The average radiation dose was significantly lower with ATPS activated than with the standard protocol (mean DLP, 259 vs 350 mGy × cm, respectively). Background noise did not differ between groups 1 and 2 at the levels of the mandibular angle and the upper mediastinum; however, attenuation and SNR increased significantly with lower tube potential settings. Subjective image quality did not suffer (mean image quality score: ATPS protocol vs standard protocol, 4.56 vs 4.61, respectively; p > 0.05) with good interobserver agreement (κ > 0.56). CONCLUSION ATPS allows significant dose savings for CT of the neck compared with a standard protocol that uses a fixed 120-kV setting without a statistically significant reduction in image quality.
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Effects of automatic tube potential selection on radiation dose index, image quality, and lesion detectability in pediatric abdominopelvic CT and CTA: a phantom study. Eur Radiol 2015; 26:157-66. [DOI: 10.1007/s00330-015-3817-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Revised: 04/20/2015] [Accepted: 04/21/2015] [Indexed: 11/26/2022]
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Lv P, Liu J, Zhang R, Jia Y, Gao J. 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 J Radiol 2015; 16:531-40. [PMID: 25995682 PMCID: PMC4435983 DOI: 10.3348/kjr.2015.16.3.531] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2014] [Accepted: 01/15/2015] [Indexed: 11/15/2022] Open
Abstract
Objective To assess the lesion conspicuity and image quality in CT evaluation of small (≤ 3 cm) hepatocellular carcinomas (HCCs) using automatic tube voltage selection (ATVS) and automatic tube current modulation (ATCM) with or without iterative reconstruction. Materials and Methods One hundred and five patients with 123 HCC lesions were included. Fifty-seven patients were scanned using both ATVS and ATCM and images were reconstructed using either filtered back-projection (FBP) (group A1) or sinogram-affirmed iterative reconstruction (SAFIRE) (group A2). Forty-eight patients were imaged using only ATCM, with a fixed tube potential of 120 kVp and FBP reconstruction (group B). Quantitative parameters (image noise in Hounsfield unit and contrast-to-noise ratio of the aorta, the liver, and the hepatic tumors) and qualitative visual parameters (image noise, overall image quality, and lesion conspicuity as graded on a 5-point scale) were compared among the groups. Results Group A2 scanned with the automatically chosen 80 kVp and 100 kVp tube voltages ranked the best in lesion conspicuity and subjective and objective image quality (p values ranging from < 0.001 to 0.004) among the three groups, except for overall image quality between group A2 and group B (p = 0.022). Group A1 showed higher image noise (p = 0.005) but similar lesion conspicuity and overall image quality as compared with group B. The radiation dose in group A was 19% lower than that in group B (p = 0.022). Conclusion CT scanning with combined use of ATVS and ATCM and image reconstruction with SAFIRE algorithm provides higher lesion conspicuity and better image quality for evaluating small hepatic HCCs with radiation dose reduction.
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Affiliation(s)
- Peijie Lv
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province 450052, China
| | - Jie Liu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province 450052, China
| | - Rui Zhang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province 450052, China
| | - Yan Jia
- Siemens Healthcare China, Beijing 100102, China
| | - Jianbo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province 450052, China
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Automated attenuation-based tube voltage selection for body CTA: Performance evaluation of 192-slice dual-source CT. Eur Radiol 2015; 25:2346-53. [PMID: 25693663 DOI: 10.1007/s00330-015-3632-4] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 01/01/2015] [Accepted: 01/21/2015] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To assess radiation dose and image quality in body CT-angiography (CTA) with automated attenuation-based tube voltage selection (ATVS) on a 192-slice dual-source CT (DSCT). METHODS Forty patients (69.5 ± 9.6 years) who had undergone body CTA with ATVS (ref.kVp 100, ref.mAs 90) using a 2x192-slice CT in single-source mode were retrospectively included. All patients had undergone prior CTA with a 2x128-slice CT and ATVS with identical imaging and contrast media protocols, serving for comparison. Images were reconstructed with iterative reconstruction at similar strength levels. Radiation dose was determined. Image quality was assessed semi-quantitatively (1:excellent, 5:non-diagnostic), aortic attenuation, noise and CNR were determined. RESULTS As compared to 128-slice DSCT, 192-slice DSCT selected tube voltages were lower in 30 patients (75 %), higher in 3 (7.5 %), and similar in 7 patients (17.5 %). CTDIvol was lower with 192-slice DSCT (4.7 ± 1.9 mGy vs. 5.8 ± 2.1 mGy; p < 0.001). Subjective image quality, mean aortic attenuation (342 ± 67HU vs. 268 ± 67HU) and CNR (9.8 ± 2.5 vs. 8.2 ± 2.9) were higher with 192-slice DSCT (all p < 0.01), all datasets being diagnostic. CONCLUSION Our study suggests that ATVS of 192-slice DSCT for body CTA is associated with an improved image quality and further radiation dose reduction of 19 % compared to 128-slice DSCT. KEY POINTS • 192-slice DSCT allows imaging from 70 kVp to 150 kVp at 10 kVp increments. • 192-slice DSCT allows for radiation-dose reduction in body-CTA with ATVS. • Subjective and objective image quality increase compared to 128-slice DSCT.
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Recent Technological Advances in Computed Tomography and the Clinical Impact Therein. Invest Radiol 2015; 50:119-27. [DOI: 10.1097/rli.0000000000000125] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Lim J, Park EA, Lee W, Shim H, Chung JW. Image quality and radiation reduction of 320-row area detector CT coronary angiography with optimal tube voltage selection and an automatic exposure control system: comparison with body mass index-adapted protocol. Int J Cardiovasc Imaging 2015; 31 Suppl 1:23-30. [DOI: 10.1007/s10554-015-0594-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2014] [Accepted: 01/14/2015] [Indexed: 10/24/2022]
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Ramirez-Giraldo JC, Fuld M, Grant K, Primak AN, Flohr T. New Approaches to Reduce Radiation While Maintaining Image Quality in Multi-Detector-Computed Tomography. CURRENT RADIOLOGY REPORTS 2015. [DOI: 10.1007/s40134-014-0084-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Lambert J, MacKenzie JD, Cody DD, Gould R. Techniques and tactics for optimizing CT dose in adults and children: state of the art and future advances. J Am Coll Radiol 2014; 11:262-6. [PMID: 24589401 DOI: 10.1016/j.jacr.2013.10.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2013] [Accepted: 10/09/2013] [Indexed: 10/25/2022]
Abstract
With growing concern over radiation exposure from CT, dose reduction and optimization have become important considerations. Many protocol factors and CT technologies influence this dose reduction effort, and as such, users should maintain a working knowledge of developments in the field. Individual patient factors and scanner-specific details also require care and expertise, which are vital to the success of any dose reduction effort. The authors review the content of the Virtual Symposium on Radiation Safety in Computed Tomography (University of California Dose Optimization and Standardization Endeavor), specifically that pertaining to the more practical aspects of dose optimization. These range from prescan tips to postscan factors, as well as protocol definition itself. Topics discussed include localizer radiograph acquisition, tube current modulation, reconstruction methods, and pediatric considerations, with the content biased toward a CT technologist or protocol manager. Near-term innovations, including new iterative reconstruction methods, tube potential modulation, and dual-energy CT, are presented, and their capability for dose reduction is briefly discussed.
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Affiliation(s)
- Jack Lambert
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - John D MacKenzie
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California
| | - Dianna D Cody
- Department of Imaging Physics, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Robert Gould
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
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Overview of CT technologies for children. Pediatr Radiol 2014; 44 Suppl 3:422-6. [PMID: 25304699 DOI: 10.1007/s00247-014-3043-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2014] [Revised: 04/05/2014] [Accepted: 05/12/2014] [Indexed: 10/24/2022]
Abstract
Many technical advances in CT have reduced radiation exposure in children and adults. These advances in technology should be used in conjunction with CT techniques such as appropriate patient preparation and intravenous contrast media administration to maximize dose management and image quality. This article summarizes current dose reduction technologies for pediatric CT, noting ranges of dose reduction as well as potential limitations. Discussion includes some of the elusive aspects of assessing image quality and the need for developing personalized CT.
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Beeres M, Römer M, Bodelle B, Lee C, Gruber-Rouh T, Mbalisike E, Kerl JM, Wichmann JL, Schulz B, Vogl TJ, Bauer RW. Chest-abdomen-pelvis CT for staging in cancer patients: dose effectiveness and image quality using automated attenuation-based tube potential selection. Cancer Imaging 2014; 14:28. [PMID: 25609222 PMCID: PMC4331833 DOI: 10.1186/s40644-014-0028-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2014] [Accepted: 08/18/2014] [Indexed: 11/25/2022] Open
Abstract
Background Evaluation of automated attenuation-based tube potential selection and its impact on image quality and radiation dose in CT (computed tomography) examinations for cancer staging. Methods A total of 110 (59 men, 51 women) patients underwent chest-abdomen-pelvis CT examinations; 55 using a fixed tube potential of 120 kV/current of 210 Reference mAs (using CareDose4D), and 55 using automated attenuation-based tube potential selection (CAREkV) also using a current of 210 Reference mAs. This evaluation was performed as a single-centre, observer-blinded retrospective analysis. Image quality was assessed by two readers in consensus. Attenuation, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were measured or calculated for objective image evaluation. For the evaluation of radiation exposure, dose-length-product (DLP) values were compared and Size-specific dose estimates (SSDE) values were calculated. Results Diagnostic image quality was obtained from all patients. The median DLP (703.5 mGy · cm, range 390–2203 mGy · cm) was 7.9% lower when using the algorithm compared with the standard 120 kV protocol (median 756 mGy · cm, range 345–2267 mGy · cm). A reduction in potential to 100 kV occurred in 32 cases; therefore, these patients received significantly lower radiation exposure compared with the 120 kV protocol. Conclusion Automated attenuation-based tube potential selection produces good diagnostic image quality in chest-abdomen-pelvis CT and reduces the patient’s overall radiation dose by 7.9% compared to the standard 120 kV protocol.
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Boos J, Kröpil P, Klee D, Heusch P, Schimmöller L, Schaper J, Antoch G, Lanzman RS. Evaluation of the impact of organ-specific dose reduction on image quality in pediatric chest computed tomography. Pediatr Radiol 2014; 44:1065-9. [PMID: 25022489 DOI: 10.1007/s00247-014-2950-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2013] [Revised: 02/18/2014] [Accepted: 02/26/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND Organ-specific dose reduction significantly reduces the radiation exposure of radiosensitive organs. OBJECTIVE The purpose of this study was to assess the impact of a novel organ-specific dose reduction algorithm on image quality of pediatric chest CT. MATERIALS AND METHODS We included 28 children (mean age 10.9 ± 4.8 years, range 3-18 years) who had contrast-enhanced chest CT on a 128-row scanner. CT was performed at 100 kV using automated tube current modulation and a novel organ-specific dose-reduction algorithm (XCare™; Siemens, Forchheim, Germany). Seven children had a previous chest CT performed on a 64-row scanner at 100 kV without organ-specific dose reduction. Subjective image quality was assessed using a five-point scale (1-not diagnostic; 5-excellent). Contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) were assessed in the descending aorta. RESULTS Overall mean subjective image quality was 4.1 ± 0.6. In the subgroup of the seven children examined both with and without organ-specific dose reduction, subjective image quality was comparable (score 4.4 ± 0.5 with organ-specific dose reduction vs. 4.4 ± 0.7 without it; P > 0.05). There was no significant difference in mean signal-to-noise ratio and contrast-to-noise ratio with organ-specific dose reduction (38.3 ± 10.1 and 28.5 ± 8.7, respectively) and without the reduction (35.5 ± 8.5 and 26.5 ± 7.8, respectively) (P > 0.05). Volume computed tomography dose index (CTDIvol) and size-specific dose estimates did not differ significantly between acquisitions with the organ-specific dose reduction (1.7 ± 0.8 mGy) and without the reduction (1.7 ± 0.8 mGy) (P > 0.05). CONCLUSION Organ-specific dose reduction does not have an impact on image quality of pediatric chest CT and can therefore be used in clinical practice to reduce radiation dose of radiosensitive organs such as breast and thyroid gland.
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Affiliation(s)
- Johannes Boos
- Department of Diagnostic and Interventional Radiology, University Dusseldorf, Medical Faculty, D-40225, Dusseldorf, Germany
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Fuentes-Orrego JM, Pinho D, Kulkarni NM, Agrawal M, Ghoshhajra BB, Sahani DV. New and Evolving Concepts in CT for Abdominal Vascular Imaging. Radiographics 2014; 34:1363-1384. [DOI: 10.1148/rg.345130070] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
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Saake M, Lell MM, Rompel O, Gloeckler M, May M, Eller A, Achenbach S, Uder M, Wuest W. Contrast medium application in pediatric high-pitch cardiovascular CT angiography: Manual or power injection? J Cardiovasc Comput Tomogr 2014; 8:315-22. [DOI: 10.1016/j.jcct.2014.05.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Revised: 04/14/2014] [Accepted: 05/08/2014] [Indexed: 11/27/2022]
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Congenital cystic lung disease: prenatal ultrasound and postnatal multidetector computer tomography evaluation. Correlation with surgical and pathological data. Radiol Med 2014; 119:842-51. [DOI: 10.1007/s11547-014-0398-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2013] [Accepted: 11/22/2013] [Indexed: 10/25/2022]
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