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Açıkgöz G. Investigating the Effects of Tube Current and Tube Voltage on Patient Dose in Computed Tomography Examinations with Principial Component Analysis and Cluster Analysis: Phantom Study. HEALTH PHYSICS 2024; 127:513-519. [PMID: 38787573 DOI: 10.1097/hp.0000000000001830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
ABSTRACT The aim of this study was to investigate the effects of tube current and tube voltage choices on patient dose in adult and pediatric CT protocols by qualitative analysis using Principal Component Analysis (PCA), cluster analysis, and statistical analysis.Dose length product (DLP), Effective mAs (Eff. mAs), and volume-weighted CT dose index (CTDIvol) dose descriptors were obtained from 16 adult and pediatric head phantom CT examinations. Different tube voltage and tube current values were selected in both pediatric head and adult head CT imaging protocols, and PCA and cluster analysis were applied to the data obtained for qualitative analysis of the relationship between CTDIvol, Eff. mAs and Total DLP values. The two principial components (PC) with the highest values among those obtained as a result of the PCA method were used. PC1 was 70.97%, and PC2 was 28.03%. In the cluster analysis, it was observed that the values obtained from pediatric and adult phantom CT scans were classified into two different clusters. The correlation coefficient for adult patients was r = 0.998, and for pediatric patients, the correlation coefficient was r = 0.947. When the obtained clusters were examined, the degree of closeness or distance of the variables could be observed. In the study, as a result of the analysis of CTDIvol, Eff. mAs and Total DLP data based on manufacturer data at different kV and mA values with PCA and cluster analysis, it was shown that pediatric patients could be exposed to more radiation than the adult patients.
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Affiliation(s)
- Güneş Açıkgöz
- Hatay Mustafa Kemal University Vocational School of Health Services, Hatay/Turkey. Güneş Açıkgöz, Hatay MKÜ: Hatay Mustafa Kemal Universitesi, Serinyol HMKU campus, Hatay 31100 (ORCID: 0000-0001-9118-3153 )
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Smith-Bindman R, Kang T, Chu PW, Wang Y, Stewart C, Das M, Duong PA, Cervantes L, Lamba R, Lee RK, MacLeod F, Kasraie N, Neill R, Pike P, Roehm J, Schindera S, Chung R, Delman BN, Jeukens CRLPN, Starkey LJ, Szczykutowicz TP. Large variation in radiation dose for routine abdomen CT: reasons for excess and easy tips for reduction. Eur Radiol 2024; 34:2394-2404. [PMID: 37735276 PMCID: PMC10957641 DOI: 10.1007/s00330-023-10076-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 06/22/2023] [Accepted: 06/30/2023] [Indexed: 09/23/2023]
Abstract
OBJECTIVE To characterize the use and impact of radiation dose reduction techniques in actual practice for routine abdomen CT. METHODS We retrospectively analyzed consecutive routine abdomen CT scans in adults from a large dose registry, contributed by 95 hospitals and imaging facilities. Grouping exams into deciles by, first, patient size, and second, size-adjusted dose length product (DLP), we summarized dose and technical parameters and estimated which parameters contributed most to between-protocols dose variation. Lastly, we modeled the total population dose if all protocols with mean size-adjusted DLP above 433 or 645 mGy-cm were reduced to these thresholds. RESULTS A total of 748,846 CTs were performed using 1033 unique protocols. When sorted by patient size, patients with larger abdominal diameters had increased dose and effective mAs (milliampere seconds), even after adjusting for patient size. When sorted by size-adjusted dose, patients in the highest versus the lowest decile in size-adjusted DLP received 6.4 times the average dose (1680 vs 265 mGy-cm) even though diameter was no different (312 vs 309 mm). Effective mAs was 2.1-fold higher, unadjusted CTDIvol 2.9-fold, and phase 2.5-fold for patients in the highest versus lowest size-adjusted DLP decile. There was virtually no change in kV (kilovolt). Automatic exposure control was widely used to modulate mAs, whereas kV modulation was rare. Phase was the strongest driver of between-protocols variation. Broad adoption of optimized protocols could result in total population dose reductions of 18.6-40%. CONCLUSION There are large variations in radiation doses for routine abdomen CT unrelated to patient size. Modification of kV and single-phase scanning could result in substantial dose reduction. CLINICAL RELEVANCE Radiation dose-optimization techniques for routine abdomen CT are routinely under-utilized leading to higher doses than needed. Greater modification of technical parameters and number of phases could result in substantial reduction in radiation exposure to patients. KEY POINTS • Based on an analysis of 748,846 routine abdomen CT scans in adults, radiation doses varied tremendously across patients of the same size and optimization techniques were routinely under-utilized. • The difference in observed dose was due to variation in technical parameters and phase count. Automatic exposure control was commonly used to modify effective mAs, whereas kV was rarely adjusted for patient size. Routine abdomen CT should be performed using a single phase, yet multi-phase was common. • kV modulation by patient size and restriction to a single phase for routine abdomen indications could result in substantial reduction in radiation doses using well-established dose optimization approaches.
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Affiliation(s)
- Rebecca Smith-Bindman
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA.
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, 490 Illinois Street, San Francisco, CA, 94158, USA.
| | - Taewoon Kang
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA
| | - Philip W Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA
| | - Yifei Wang
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA
| | - Carly Stewart
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA
| | - Marco Das
- Department of Diagnostic and Interventional Radiology, Helios Hospital Duisburg, An Der Abtei 7-11, 47166, Duisburg, Germany
| | - Phuong-Anh Duong
- Department of Radiology, New York University Langone, 6 Ohio Drive, Lake Success, NY, 11042, USA
| | - Luisa Cervantes
- Department of Radiology, Nicklaus Children's Hospital, 3100 SW 62Nd Avenue, Miami, FL, 33155, USA
| | - Ramit Lamba
- Department of Radiology, University of California Davis, 4860 Y Street, Suite 3100, Sacramento, CA, 95817, USA
| | - Ryan K Lee
- Department of Radiology, Ground Floor, Einstein Healthcare Network, 5501 Old York Road, Levy Bldg, Philadelphia, PA, 19141, USA
| | - Fiona MacLeod
- Department of Radiology, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, OX3 9DU, UK
| | - Nima Kasraie
- Department of Radiology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA
| | - Rebecca Neill
- Department of Radiology and Imaging Sciences, Emory University, 1365 Clifton Road NE, Atlanta, GA, 30322, USA
| | - Pavlina Pike
- Huntsville Hospital, 101 Sivley Rd SW, Huntsville, AL, 35801, USA
| | | | - Sebastian Schindera
- Institute of Radiology, Kantonsspital Aarau AG, Tellstrasse 25, 5001, Aarau, Switzerland
| | - Robert Chung
- Department of Demography, University of California Berkeley, 310 Social Sciences Building, Berkeley, CA, 94720-2120, USA
| | - Bradley N Delman
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029-6574, USA
| | - Cécile R L P N Jeukens
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre+, P. Debyelaan 25 6229 HX, PO Box 5800, 6202 AZ, Maastricht, The Netherlands
| | - L Jay Starkey
- Department of Radiology, St Luke's International Hospital, 9-1 Akashicho, Tokyo, 104-8560, Chuo City, Japan
| | - Timothy P Szczykutowicz
- Departments of Radiology, Medical Physics, and Biomedical Engineering, University of Wisconsin Madison, Madison, WI, USA
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Chu PW, Kofler C, Haas B, Lee C, Wang Y, Chu CA, Stewart C, Mahendra M, Delman BN, Bolch WE, Smith-Bindman R. Dose length product to effective dose coefficients in adults. Eur Radiol 2024; 34:2416-2425. [PMID: 37798408 DOI: 10.1007/s00330-023-10262-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 08/04/2023] [Accepted: 08/09/2023] [Indexed: 10/07/2023]
Abstract
OBJECTIVES The most accurate method for estimating patient effective dose (a principal metric for tracking patient radiation exposure) from computed tomography (CT) requires time-intensive Monte Carlo simulation. A simpler method multiplies a scalar coefficient by the widely available scanner-reported dose length product (DLP) to estimate effective dose. We developed new adult effective dose coefficients using actual patient scans and assessed their agreement with Monte Carlo simulation. METHODS A multicenter sample of 216,906 adult CT scans was prospectively assembled in 2015-2020 from the University of California San Francisco International CT Dose Registry and the University of Florida library of computational phantoms. We generated effective dose coefficients for eight body regions, stratified by patient sex, diameter, and scanner manufacturer. We applied the new coefficients to DLPs to calculate effective doses and assess their correlations with Monte Carlo radiation transport-generated effective dose. RESULTS Effective dose coefficients varied by body region and decreased in magnitude with increasing patient diameter. Coefficients were approximately twofold higher for torso scans in smallest compared with largest diameter categories. For example, abdomen and pelvis coefficients decreased from 0.027 to 0.013 mSv/mGy-cm between the 16-20 cm and 41+ cm categories. There were modest but consistent differences by sex and manufacturer. Diameter-based coefficients used to estimate effective dose produced strong correlations with the reference standard (Pearson correlations 0.77-0.86). The reported conversion coefficients differ from previous studies, particularly in neck CT. CONCLUSIONS New effective dose coefficients derived from empirical clinical scans can be used to easily estimate effective dose using scanner-reported DLP. CLINICAL RELEVANCE STATEMENT Scalar coefficients multiplied by DLP offer a simple approximation to effective dose, a key radiation dose metric. New effective dose coefficients from this study strongly correlate with gold standard, Monte Carlo-generated effective dose, and differ somewhat from previous studies. KEY POINTS • Previous effective dose coefficients were derived from theoretical models rather than real patient data. • The new coefficients (from a large registry/phantom library) differ from previous studies. • The new coefficients offer reasonably reliable values for estimating effective dose.
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Affiliation(s)
- Philip W Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Cameron Kofler
- Department of Radiology, The University of Chicago, Chicago, IL, USA
| | - Brian Haas
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA
| | - Choonsik Lee
- Radiation Epidemiology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Yifei Wang
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Cameron A Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Carly Stewart
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Malini Mahendra
- Department of Pediatrics, Division of Pediatric Critical Care, UCSF Benioff Children's Hospital, University of California at San Francisco, San Francisco, USA
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA
| | - Bradley N Delman
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Wesley E Bolch
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Rebecca Smith-Bindman
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA.
- Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco, CA, USA.
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA.
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Wang Y, Chu P, Szczykutowicz TP, Stewart C, Smith-Bindman R. CT acquisition parameter selection in the real world: impacts on radiation dose and variation amongst 155 institutions. Eur Radiol 2024; 34:1605-1613. [PMID: 37646805 PMCID: PMC10873435 DOI: 10.1007/s00330-023-10161-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 07/20/2023] [Accepted: 08/03/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVE Quantify the relationship between CT acquisition parameters and radiation dose, how often parameters are adjusted in real-world practice, and their degree of contribution to real-world dose distribution. Identify discrepancies between parameters that are impactful in theory and impactful in practice. METHODS This study analyses 1.3 million consecutive adult routine abdomen exams performed between November 2015 and Jan 2021 included in the University of California, San Francisco International CT Dose Registry of 155 institutions. We calculated geometric standard deviation (gSD) for five parameters (kV, mAs, spiral pitch, number of phases, scan length) to assess variation in practice. A Gaussian mixed regression model was performed to predict the radiation dose-length product (DLP) using the parameters. Three conceptualizations of "impact" were computed for each parameter. To reflect the theoretical impact, we predict the increase in DLP per 10% (and 15%) increase in the parameter. To reflect the real-world practical impact, we predict the increase in DLP per gSD increase in the parameter. RESULTS Among studied examinations, mAs, number of phases, and scan length were frequently manipulated (gSD 1.52-1.70); kV was rarely manipulated (gSD 1.07). Theoretically, kV is the most impactful parameter (29% increase in DLP per 10% increase in kV, versus 5-9% increase for other parameters). In real-world practice, kV is less impactful; for each gSD increase in kV, the DLP increases by 20%, versus 22-69% for other parameters. CONCLUSION Despite the potential impact of kV on radiation dose, this parameter is rarely manipulated in common practice and this potential remains untapped. CLINICAL RELEVANCE STATEMENT CT beam energy (kV) modulation has the potential to strongly reduce radiation over-dosage to the patient, theoretically more so than similar degrees of modulation in other CT acquisition parameters. Despite this, beam energy modulation rarely occurs in practice, leaving its potential untapped. KEY POINTS • The relationship between CT acquisition parameter selection and radiation dose roughly coincided with established theoretical understanding. • CT acquisition parameters differ from each other in frequency and magnitude of manipulation, with beam energy (kV) being rarely manipulated. • Beam energy (kV) has the potential to substantially impact radiation dose, but because it is rarely manipulated, it is the least impactful CT acquisition parameter affecting radiation dose in practice.
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Affiliation(s)
- Yifei Wang
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA.
| | - Philip Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA
| | - Timothy P Szczykutowicz
- Departments of Radiology, Medical Physics, and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Carly Stewart
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA
| | - Rebecca Smith-Bindman
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16Th Street, San Francisco, CA, 94158, USA
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, CA, USA
- Philip R Lee Institute for Health Policy Studies, University of California San Francisco, 3333 California St, San Francisco, CA, 94118, USA
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Payne S, Badawy M. Comparison of average Water Equivalent diameter values between CTContour and vendor-specific estimates in CT dosimetry. Phys Med 2023; 114:103142. [PMID: 37748357 DOI: 10.1016/j.ejmp.2023.103142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 09/13/2023] [Accepted: 09/19/2023] [Indexed: 09/27/2023] Open
Abstract
PURPOSE This study aimed to compare the average Water Equivalent Diameter (WED) values obtained from CTContour, an open-source program for Size-Specific Dose Estimate (SSDE) and WED calculation, and vendor-specific values provided by Philips scanners. METHODS A random sample of 50 adult and 50 paediatric abdomen-pelvis protocol CT images from Philips scanners were chosen at our Hospital and analysed using CTContour, and extracting average WED values from Philips from the images DICOM headers. The average WED values from the two methods were compared via Bland-Altman analysis to assess their agreement and reliability. RESULTS The average WED values obtained from CTContour were found to be slightly lower than those obtained from the vendor-specific calculations, with mean disagreements of -5.62% and -2.88% for the adult and paediatric datasets, respectively, with both methods providing clinically acceptable estimations of average WED. There was no statistically significant correlation between body habitus and the level of disagreement between methods. CONCLUSIONS This study demonstrates that CTContour can provide average WED measurements comparable to the vendor-specific calculations for SSDE and WED in CT dosimetry. Differences between programs are likely due to inherent differences in the methods employed to estimate WED automatically. Further research is warranted to validate these results for additional CT protocols beyond abdomen-pelvis studies.
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Affiliation(s)
- Shay Payne
- Diagnostic Imaging, Monash Health, Clayton, 3168 Melbourne, Australia.
| | - Mohamed Badawy
- Diagnostic Imaging, Monash Health, Clayton, 3168 Melbourne, Australia; Monash University, Clayton, 3800 Melbourne, Australia
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Tan Z, Zhang L, Sun X, Yang M, Makamure J, Wu H, Wang J. Dual-Layer Detector Head CT to Maintain Image Quality While Reducing the Radiation Dose in Pediatric Patients. AJNR Am J Neuroradiol 2023; 44:1212-1218. [PMID: 37735089 PMCID: PMC10549953 DOI: 10.3174/ajnr.a7999] [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: 04/07/2023] [Accepted: 08/02/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND AND PURPOSE Radiation exposure in the CT diagnostic imaging process is a conspicuous concern in pediatric patients. This study aimed to evaluate whether 60-keV virtual monoenergetic images of the pediatric cranium in dual-layer CT can reduce the radiation dose while maintaining image quality compared with conventional images. MATERIALS AND METHODS One hundred six unenhanced pediatric head scans acquired by dual-layer CT were retrospectively assessed. The patients were assigned to 2 groups of 53 and scanned with 250 and 180 mAs, respectively. Dose-length product values were retrieved, and noise, SNR, and contrast-to-noise ratio were calculated for each case. Two radiologists blinded to the reconstruction technique used evaluated image quality on a 5-point Likert scale. Statistical assessment was performed with ANOVA and the Wilcoxon test, adjusted for multiple comparisons. RESULTS Mean dose-length product values were 717.47 (SD, 41.52) mGy×cm and 520.74 (SD, 42) mGy×cm for the 250- and 180-mAs groups, respectively. Irrespective of the radiation dose, noise was significantly lower, SNR and contrast-to-noise ratio were significantly higher, and subjective analysis revealed significant superiority of 60-keV virtual monoenergetic images compared with conventional images (all P < .001). SNR, contrast-to-noise ratio, and subjective evaluation in 60-keV virtual monoenergetic images were not significantly different between the 2 scan groups (P > .05). Radiation dose parameters were significantly lower in the 180-mAs group compared with the 250-mAs group (P < .001). CONCLUSIONS Dual-layer CT 60-keV virtual monoenergetic images allowed a radiation dose reduction of 28% without image-quality loss in pediatric cranial CT.
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Affiliation(s)
- Zhengwu Tan
- From the Department of Radiology (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Wuhan, Hubei, China
| | - Lan Zhang
- From the Department of Radiology (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Wuhan, Hubei, China
| | - Xiaojie Sun
- From the Department of Radiology (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Wuhan, Hubei, China
| | - Ming Yang
- From the Department of Radiology (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Wuhan, Hubei, China
| | - Joyman Makamure
- From the Department of Radiology (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Wuhan, Hubei, China
| | - Hongying Wu
- From the Department of Radiology (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Wuhan, Hubei, China
| | - Jing Wang
- From the Department of Radiology (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Hubei Province Key Laboratory of Molecular Imaging (Z.T., L.Z., X.S., M.Y., J.M., H.W., J.W.), Wuhan, Hubei, China
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Chu PW, Kofler C, Mahendra M, Wang Y, Chu CA, Stewart C, Delman BN, Haas B, Lee C, Bolch WE, Smith-Bindman R. Dose length product to effective dose coefficients in children. Pediatr Radiol 2023; 53:1659-1668. [PMID: 36922419 PMCID: PMC10359359 DOI: 10.1007/s00247-023-05638-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 02/09/2023] [Accepted: 02/21/2023] [Indexed: 03/18/2023]
Abstract
BACKGROUND The most accurate method for estimating effective dose (the most widely understood metric for tracking patient radiation exposure) from computed tomography (CT) requires time-intensive Monte Carlo simulation. A simpler method multiplies a scalar coefficient by the widely available scanner-reported dose length product (DLP) to estimate effective dose. OBJECTIVE Develop pediatric effective dose coefficients and assess their agreement with Monte Carlo simulation. MATERIALS AND METHODS Multicenter, population-based sample of 128,397 pediatric diagnostic CT scans prospectively assembled in 2015-2020 from the University of California San Francisco International CT Dose Registry and the University of Florida library of highly realistic hybrid computational phantoms. We generated effective dose coefficients for seven body regions, stratified by patient age, diameter, and scanner manufacturer. We applied the new coefficients to DLPs to calculate effective doses and assessed their correlations with Monte Carlo radiation transport-generated effective doses. RESULTS The reported effective dose coefficients, generally higher than previous studies, varied by body region and decreased in magnitude with increasing age. Coefficients were approximately 4 to 13-fold higher (across body regions) for patients <1 year old compared with patients 15-21 years old. For example, head CT (54% of scans) dose coefficients decreased from 0.039 to 0.003 mSv/mGy-cm in patients <1 year old vs. 15-21 years old. There were minimal differences by manufacturer. Using age-based conversion coefficients to estimate effective dose produced moderate to strong correlations with Monte Carlo results (Pearson correlations 0.52-0.80 across body regions). CONCLUSIONS New pediatric effective dose coefficients update existing literature and can be used to easily estimate effective dose using scanner-reported DLP.
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Affiliation(s)
- Philip W Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Cameron Kofler
- Department of Radiology, The University of Chicago, Chicago, IL, USA
| | - Malini Mahendra
- Department of Pediatrics, Division of Pediatric Critical Care, UCSF Benioff Children's Hospital, University of California San Francisco, San Francisco, CA, USA
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA
| | - Yifei Wang
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Cameron A Chu
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Carly Stewart
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA
| | - Bradley N Delman
- Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian Haas
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Choonsik Lee
- Radiation Epidemiology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Wesley E Bolch
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Rebecca Smith-Bindman
- Department of Epidemiology and Biostatistics, University of California San Francisco, 550 16th Street, Box 0560, San Francisco, CA, 94143, USA.
- Philip R. Lee Institute for Health Policy Studies, University of California San Francisco, San Francisco, CA, USA.
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA, USA.
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Benmessaoud M, Dadouch A, Maghnouj A, Lemmassi A, Tahiri M, El-Ouardi Y, Ait Ouaggou I. Establishment of local diagnostic reference levels for paediatric abdominal-pelvis and Chest-abdominal-pelvis computed tomography in Morocco: suggests the need for improved optimization efforts. RADIATION PROTECTION DOSIMETRY 2023:7160592. [PMID: 37177805 DOI: 10.1093/rpd/ncad149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/25/2023] [Accepted: 04/05/2023] [Indexed: 05/15/2023]
Abstract
The purpose of the current study was to derive the local diagnostic reference levels (LDRLs) for paediatric abdominal-pelvis (AP) and chest-abdominal-pelvis (CAP) computed tomography in Morocco. The data were gathered retrospectively from two hospitals for 6 months. The LDRLs were defined by volume CT dose index (CTDIvol), dose-length product (DLP) per sequence, DLP per procedure and size-specific dose estimates (SSDE). The SSDE assessment was based on the effective diameters of patients scanned. A total of 630 CT examinations were collected involving 324 AP and 306 CAP scans. The proposed LDRLs for AP, in terms of CTDIvol (mGy), were 6.9, 8.5, 8.5 and 8.5 for < 1, 1 to < 5, 5 to < 10 and 10 to < 15 y age groups, respectively. In terms of DLP (mGy.cm) per procedure, they were 436.3, 534.5, 687.9 and 961.7. In terms of SSDE (mGy), thet were 16.73, 16.83, 17.5 and 15.8 for < 1, 1 to < 5, 5 to < 10 and 10 to < 15 y, respectively. The corresponding LDRLs for CAP, in terms of CTDIvol (mGy), were 7.3, 7.3, 7.3 and 10.35. In terms of DLP (mGy.cm) per procedure, they were 531, 622.5, 705 and 936. In terms of SSDE (mGy), they were 16.22, 15.05, 14.47 and 15.2, respectively, for the four age groups. The derived dose levels were mostly higher than those found in other studies, which demonstrates the need for dose optimization and paediatric protocol standardization as well as the timeliness of the intent to establish not only local DRLs but national ones in the near future.
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Affiliation(s)
- Mounir Benmessaoud
- Sidi Mohamed Ben Abdellah University, Faculty of Sciences Dhar EL Mahraz, Fez, Morocco
| | - Ahmed Dadouch
- Sidi Mohamed Ben Abdellah University, Faculty of Sciences Dhar EL Mahraz, Fez, Morocco
| | - Abdelmajid Maghnouj
- Sidi Mohamed Ben Abdellah University, Faculty of Sciences Dhar EL Mahraz, Fez, Morocco
| | - Assiya Lemmassi
- Sidi Mohamed Ben Abdellah University, Higher School of Technology, Fez, Morocco
| | - Maroine Tahiri
- Hassan First University, Higher Institute of Health Sciences, Settat, Morocco
| | - Youssef El-Ouardi
- Sidi Mohamed Ben Abdellah University, Faculty of Sciences Dhar EL Mahraz, Fez, Morocco
| | - Ibrahim Ait Ouaggou
- University Mohammed First, National School of Applied Sciences, Oujda, Morocco
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Echocardiographic evaluation of supracardiac anomalous pulmonary venous connection in children: comparison with multilayer spiral CT. Int J Cardiovasc Imaging 2022; 39:715-724. [PMID: 36517692 DOI: 10.1007/s10554-022-02776-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 12/08/2022] [Indexed: 12/23/2022]
Abstract
Objective To explore the clinical value of transthoracic echocardiography (TTE) in the differentiation of Supracardiac Anomalous Pulmonary Venous Connection (SAPVC) in children. Materials and methods A total of 118 children with concurrent TTE and CT databases of cases diagnosed with SAPVCs were included. We analyzed the consistency between the two for the ability to diagnose the classification of SAPVC, drainage sites, ectopic pulmonary veins and the segments of superior vena cava (SVC). Results The consistency between TTE and CT in diagnosing the existence of SAPVC and the classification were 88.1% (95% CI: 80.9-93.4%) and 91.0% (95% CI: 84.1-95.6%), respectively. The error rate of partial type diagnosed by TTE was significantly higher than that of total and mixed type (20.5% vs. 2.8%, P = 0.003). The consistency between TTE and CT to determine drainage sites was 91.9% (95% CI: 85.2-96.2%). TTE had a significantly higher error rate in determining pulmonary vein drainage to the SVC than in those draining into the left innominate vein (17.5 vs. 2.5%, P = 0.007). The consistency of TTE and CT in judging the number of veins was 87.4% (95% CI: 79.7-92.9%). The error rate in determining the presence of 2 and 5 ectopic pulmonary veins was significantly higher than those of 1 and 4 veins (P < 0.05). Conclusion TTE for diagnosing partial SAPVC and identifying the drainage site of SVC has a high error rate of misdiagnosis and missed diagnosis. The extra attention should be given to these factors in clinical practice to improve the accuracy of TTE in diagnosing SAPVC.
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