المؤلفون: Laudicella, Riccardo, Comelli, Albert, Schwyzer, Moritz, Stefano, Alessandro, Konukoglu, Ender, Messerli, Michael, Baldari, Sergio, Eberli, Daniel, Burger, Irene A.

المصدر: La radiologia medica, 129 (6)

مصطلحات موضوعية: Artificial intelligence, Neural network, PET/MRI, Prediction, Prostate cancer

الوصف: Purpose: High PSMA expression might be correlated with structural characteristics such as growth patterns on histopathology, not recognized by the human eye on MRI images. Deep structural image analysis might be able to detect such differences and therefore predict if a lesion would be PSMA positive. Therefore, we aimed to train a neural network based on PSMA PET/MRI scans to predict increased prostatic PSMA uptake based on the axial T2-weighted sequence alone. Material and methods: All patients undergoing simultaneous PSMA PET/MRI for PCa staging or biopsy guidance between April 2016 and December 2020 at our institution were selected. To increase the specificity of our model, the prostatic beds on PSMA PET scans were dichotomized in positive and negative regions using an SUV threshold greater than 4 to generate a PSMA PET map. Then, a C-ENet was trained on the T2 images of the training cohort to generate a predictive prostatic PSMA PET map. Results: One hundred and fifty-four PSMA PET/MRI scans were available (133 [⁶⁸Ga]Ga-PSMA-11 and 21 [¹⁸F]PSMA-1007). Significant cancer was present in 127 of them. The whole dataset was divided into a training cohort (n = 124) and a test cohort (n = 30). The C-ENet was able to predict the PSMA PET map with a dice similarity coefficient of 69.5 ± 15.6%. Conclusion: Increased prostatic PSMA uptake on PET might be estimated based on T2 MRI alone. Further investigation with larger cohorts and external validation is needed to assess whether PSMA uptake can be predicted accurately enough to help in the interpretation of mpMRI. ; ISSN:1826-6983

وصف الملف: application/application/pdf

العلاقة: info:eu-repo/semantics/altIdentifier/wos/001217386700001; http://hdl.handle.net/20.500.11850/673618Test

الإتاحة: https://doi.org/20.500.11850/67361810.3929/ethz-b-00067361810.1007/s11547-024-01820-zTest
https://hdl.handle.net/20.500.11850/673618Test

المؤلفون: Sartoretti, Thomas, Skawran, Stephan, Gennari, Antonio G., Maurer, Alexander, Euler, André, Treyer, Valerie, Sartoretti, Elisabeth, Waelti, Stephan, Schwyzer, Moritz, von Schulthess, Gustav K., Burger, Irene A., Huellner, Martin W., Messerli, Michael

المصدر: European Radiology, 34 (3)

مصطلحات موضوعية: Positron emission tomography, Noise, Algorithms, Dose reduction, Image enhancement

الوصف: Objectives: To introduce an automated computational algorithm that estimates the global noise level across the whole imaging volume of PET datasets. Methods: [18F]FDG PET images of 38 patients were reconstructed with simulated decreasing acquisition times (15–120 s) resulting in increasing noise levels, and with block sequential regularized expectation maximization with beta values of 450 and 600 (Q.Clear 450 and 600). One reader performed manual volume-of-interest (VOI) based noise measurements in liver and lung parenchyma and two readers graded subjective image quality as sufficient or insufficient. An automated computational noise measurement algorithm was developed and deployed on the whole imaging volume of each reconstruction, delivering a single value representing the global image noise (Global Noise Index, GNI). Manual noise measurement values and subjective image quality gradings were compared with the GNI. Results: Irrespective of the absolute noise values, there was no significant difference between the GNI and manual liver measurements in terms of the distribution of noise values (p = 0.84 for Q.Clear 450, and p = 0.51 for Q.Clear 600). The GNI showed a fair to moderately strong correlation with manual noise measurements in liver parenchyma (r = 0.6 in Q.Clear 450, r = 0.54 in Q.Clear 600, all p < 0.001), and a fair correlation with manual noise measurements in lung parenchyma (r = 0.52 in Q.Clear 450, r = 0.33 in Q.Clear 600, all p < 0.001). Classification performance of the GNI for subjective image quality was AUC 0.898 for Q.Clear 450 and 0.919 for Q.Clear 600. Conclusion: An algorithm provides an accurate and meaningful estimation of the global noise level encountered in clinical PET imaging datasets. Clinical relevance statement: An automated computational approach that measures the global noise level of PET imaging datasets may facilitate quality standardization and benchmarking of clinical PET imaging within and across institutions. Key Points: • Noise is an important quantitative marker ...

وصف الملف: application/application/pdf

العلاقة: http://hdl.handle.net/20.500.11850/661703Test

الإتاحة: https://doi.org/20.500.11850/661703Test
https://doi.org/10.3929/ethz-b-000661703Test
https://doi.org/10.1007/s00330-023-10056-wTest
https://hdl.handle.net/20.500.11850/661703Test

المؤلفون: Gennari, Antonio G, Rossi, Alexia, Sartoretti, Thomas, Maurer, Alexander, Skawran, Stephan, Treyer, Valerie, Sartoretti, Elisabeth, Curioni-Fontecedro, Alessandra, Schwyzer, Moritz, Waelti, Stephan, Huellner, Martin W, Messerli, Michael

المصدر: Gennari, Antonio G; Rossi, Alexia; Sartoretti, Thomas; Maurer, Alexander; Skawran, Stephan; Treyer, Valerie; Sartoretti, Elisabeth; Curioni-Fontecedro, Alessandra; Schwyzer, Moritz; Waelti, Stephan; Huellner, Martin W; Messerli, Michael (2023). Characterization of hypermetabolic lymph nodes after SARS-CoV-2 vaccination using PET-CT derived node-RADS, in patients with melanoma. Scientific Reports, 13(1):18357.

مصطلحات موضوعية: Clinic for Nuclear Medicine, 610 Medicine & health

الوصف: This study aimed to evaluate the diagnostic accuracy of Node Reporting and Data System (Node-RADS) in discriminating between normal, reactive, and metastatic axillary LNs in patients with melanoma who underwent SARS-CoV-2 vaccination. Patients with proven melanoma who underwent a 2-[$^{18}$F]-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (2-[$^{18}$F]-FDG PET/CT) between February and April 2021 were included in this retrospective study. Primary melanoma site, vaccination status, injection site, and 2-[$^{18}$F]-FDG PET/CT were used to classify axillary LNs into normal, inflammatory, and metastatic (combined classification). An adapted Node-RADS classification (A-Node-RADS) was generated based on LN anatomical characteristics on low-dose CT images and compared to the combined classification. 108 patients were included in the study (54 vaccinated). HALNs were detected in 42 patients (32.8%), of whom 97.6% were vaccinated. 172 LNs were classified as normal, 30 as inflammatory, and 14 as metastatic using the combined classification. 152, 22, 29, 12, and 1 LNs were classified A-Node-RADS 1, 2, 3, 4, and 5, respectively. Hence, 174, 29, and 13 LNs were deemed benign, equivocal, and metastatic. The concordance between the classifications was very good (Cohen's k: 0.91, CI 0.86-0.95; p-value < 0.0001). A-Node-RADS can assist the classification of axillary LNs in melanoma patients who underwent 2-[$^{18}$F]-FDG PET/CT and SARS-CoV-2 vaccination.

وصف الملف: application/pdf

العلاقة: https://www.zora.uzh.ch/id/eprint/252863/1/ZORA252863.pdfTest; info:pmid/37884535; urn:issn:2045-2322

الإتاحة: https://doi.org/10.5167/uzh-25286310.1038/s41598-023-44215-2Test
https://www.zora.uzh.ch/id/eprint/252863Test/
https://www.zora.uzh.ch/id/eprint/252863/1/ZORA252863.pdfTest

المؤلفون: Schwyzer, Moritz, Skawran, Stephan, Gennari, Antonio G, Waelti, Stephan L, Walter, Joan Elias, Curioni-Fontecedro, Alessandra, Hofbauer, Marlena, Maurer, Alexander, Huellner, Martin W, Messerli, Michael

المصدر: Schwyzer, Moritz; Skawran, Stephan; Gennari, Antonio G; Waelti, Stephan L; Walter, Joan Elias; Curioni-Fontecedro, Alessandra; Hofbauer, Marlena; Maurer, Alexander; Huellner, Martin W; Messerli, Michael (2023). Automated F18-FDG PET/CT image quality assessment using deep neural networks on a latest 6-ring digital detector system. Scientific Reports, 13(1):11332.

مصطلحات موضوعية: Clinic for Nuclear Medicine, 610 Medicine & health

الوصف: To evaluate whether a machine learning classifier can evaluate image quality of maximum intensity projection (MIP) images from F18-FDG-PET scans. A total of 400 MIP images from F18-FDG-PET with simulated decreasing acquisition time (120 s, 90 s, 60 s, 30 s and 15 s per bed-position) using block sequential regularized expectation maximization (BSREM) with a beta-value of 450 and 600 were created. A machine learning classifier was fed with 283 images rated "sufficient image quality" and 117 images rated "insufficient image quality". The classification performance of the machine learning classifier was assessed by calculating sensitivity, specificity, and area under the receiver operating characteristics curve (AUC) using reader-based classification as the target. Classification performance of the machine learning classifier was AUC 0.978 for BSREM beta 450 and 0.967 for BSREM beta 600. The algorithm showed a sensitivity of 89% and 94% and a specificity of 94% and 94% for the reconstruction BSREM 450 and 600, respectively. Automated assessment of image quality from F18-FDG-PET images using a machine learning classifier provides equivalent performance to manual assessment by experienced radiologists.

وصف الملف: application/pdf

العلاقة: https://www.zora.uzh.ch/id/eprint/252866/1/ZORA252866.pdfTest; info:pmid/37443158; urn:issn:2045-2322

الإتاحة: https://doi.org/10.5167/uzh-25286610.1038/s41598-023-37182-1Test
https://www.zora.uzh.ch/id/eprint/252866Test/
https://www.zora.uzh.ch/id/eprint/252866/1/ZORA252866.pdfTest

المؤلفون: Waelti, Stephan, Skawran, Stephan, Sartoretti, Thomas, Schwyzer, Moritz, Gennari, Antonio G, Mader, Cäcilia, Treyer, Valerie, Kellenberger, Christian J, Burger, Irene A, Hany, Thomas, Maurer, Alexander, Huellner, Martin W, Messerli, Michael

المصدر: Waelti, Stephan; Skawran, Stephan; Sartoretti, Thomas; Schwyzer, Moritz; Gennari, Antonio G; Mader, Cäcilia; Treyer, Valerie; Kellenberger, Christian J; Burger, Irene A; Hany, Thomas; Maurer, Alexander; Huellner, Martin W; Messerli, Michael (2023). A third of the radiotracer dose: two decades of progress in pediatric [$^{18}$F]fluorodeoxyglucose PET/CT and PET/MR imaging. European Radiology, 34(5):3252-3259.

مصطلحات موضوعية: Clinic for Nuclear Medicine, Medical Clinic, 610 Medicine & health

الوصف: OBJECTIVES To assess the evolution of administered radiotracer activity for F-18-fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0-16 years) between years 2000 and 2021. METHODS Pediatric patients (≤ 16 years) referred for 18F-FDG PET/CT or PET/MR imaging of the body during 2000 and 2021 were retrospectively included. The amount of administered radiotracer activity in megabecquerel (MBq) was recorded, and signal-to-noise ratio (SNR) was measured in the right liver lobe with a 4 cm$^{3}$ volume of interest as an indicator for objective image quality. Descriptive statistics were computed. RESULTS Two hundred forty-three children and adolescents underwent a total of 466 examinations. The median injected 18F-FDG activity in MBq decreased significantly from 296 MBq in 2000-2005 to 100 MBq in 2016-2021 (p < 0.001), equaling approximately one-third of the initial amount. The median SNR ratio was stable during all years with 11.7 (interquartile range [IQR] 10.7-12.9, p = 0.133). CONCLUSIONS Children have benefited from a massive reduction in the administered 18F-FDG dose over the past 20 years without compromising objective image quality. CLINICAL RELEVANCE STATEMENT Radiotracer dose was reduced considerably over the past two decades of pediatric F-18-fluorodeoxyglucose PET/CT and PET/MR imaging highlighting the success of technical innovations in pediatric PET imaging. KEY POINTS • The evolution of administered radiotracer activity for F-18-fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0-16 years) between 2000 and 2021 was assessed. • The injected tracer activity decreased by 66% during the study period from 296 megabecquerel (MBq) to 100 MBq (p < 0.001). • The continuous implementation of technical innovations in pediatric hybrid 18F-FDG PET has led to a steady decrease in the amount of applied radiotracer, which is particularly beneficial for children who are more sensitive to radiation.

وصف الملف: application/pdf

العلاقة: https://www.zora.uzh.ch/id/eprint/238084/1/ZORA238084.pdfTest; info:pmid/37855853; urn:issn:0938-7994

الإتاحة: https://doi.org/10.5167/uzh-23808410.1007/s00330-023-10319-6Test
https://www.zora.uzh.ch/id/eprint/238084Test/
https://www.zora.uzh.ch/id/eprint/238084/1/ZORA238084.pdfTest

المؤلفون: Sartoretti, Thomas, Skawran, Stephan, Gennari, Antonio G, Maurer, Alexander, Euler, André, Treyer, Valerie, Sartoretti, Elisabeth, Waelti, Stephan, Schwyzer, Moritz, von Schulthess, Gustav K, Burger, Irene A, Huellner, Martin W, Messerli, Michael

المصدر: Sartoretti, Thomas; Skawran, Stephan; Gennari, Antonio G; Maurer, Alexander; Euler, André; Treyer, Valerie; Sartoretti, Elisabeth; Waelti, Stephan; Schwyzer, Moritz; von Schulthess, Gustav K; Burger, Irene A; Huellner, Martin W; Messerli, Michael (2023). Fully automated computational measurement of noise in positron emission tomography. European Radiology, 34(3):1716-1723.

مصطلحات موضوعية: Clinic for Nuclear Medicine, 610 Medicine & health

الوصف: OBJECTIVES To introduce an automated computational algorithm that estimates the global noise level across the whole imaging volume of PET datasets. METHODS [$^{18}$F]FDG PET images of 38 patients were reconstructed with simulated decreasing acquisition times (15-120 s) resulting in increasing noise levels, and with block sequential regularized expectation maximization with beta values of 450 and 600 (Q.Clear 450 and 600). One reader performed manual volume-of-interest (VOI) based noise measurements in liver and lung parenchyma and two readers graded subjective image quality as sufficient or insufficient. An automated computational noise measurement algorithm was developed and deployed on the whole imaging volume of each reconstruction, delivering a single value representing the global image noise (Global Noise Index, GNI). Manual noise measurement values and subjective image quality gradings were compared with the GNI. RESULTS Irrespective of the absolute noise values, there was no significant difference between the GNI and manual liver measurements in terms of the distribution of noise values (p = 0.84 for Q.Clear 450, and p = 0.51 for Q.Clear 600). The GNI showed a fair to moderately strong correlation with manual noise measurements in liver parenchyma (r = 0.6 in Q.Clear 450, r = 0.54 in Q.Clear 600, all p < 0.001), and a fair correlation with manual noise measurements in lung parenchyma (r = 0.52 in Q.Clear 450, r = 0.33 in Q.Clear 600, all p < 0.001). Classification performance of the GNI for subjective image quality was AUC 0.898 for Q.Clear 450 and 0.919 for Q.Clear 600. CONCLUSION An algorithm provides an accurate and meaningful estimation of the global noise level encountered in clinical PET imaging datasets. CLINICAL RELEVANCE STATEMENT An automated computational approach that measures the global noise level of PET imaging datasets may facilitate quality standardization and benchmarking of clinical PET imaging within and across institutions. KEY POINTS • Noise is an important quantitative marker ...

وصف الملف: application/pdf

العلاقة: https://www.zora.uzh.ch/id/eprint/237698/1/s00330_023_10056_w.pdfTest; info:pmid/37644149; urn:issn:0938-7994

الإتاحة: https://doi.org/10.5167/uzh-237698Test
https://doi.org/10.1007/s00330-023-10056-wTest
https://www.zora.uzh.ch/id/eprint/237698Test/
https://www.zora.uzh.ch/id/eprint/237698/1/s00330_023_10056_w.pdfTest

المؤلفون: Waelti, Stephan, Skawran, Stephan, Sartoretti, Thomas, Schwyzer, Moritz, Gennari, Antonio G., Mader, Cäcilia, Treyer, Valerie, Kellenberger, Christian J., Burger, Irene A., Hany, Thomas, Maurer, Alexander, Huellner, Martin W., Messerli, Michael

المساهمون: Palatin Foundation, University of Zurich

المصدر: European Radiology ; ISSN 1432-1084

مصطلحات موضوعية: Radiology, Nuclear Medicine and imaging, General Medicine

الوصف: Objectives To assess the evolution of administered radiotracer activity for F-18-fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0–16 years) between years 2000 and 2021. Methods Pediatric patients (≤ 16 years) referred for 18F-FDG PET/CT or PET/MR imaging of the body during 2000 and 2021 were retrospectively included. The amount of administered radiotracer activity in megabecquerel (MBq) was recorded, and signal-to-noise ratio (SNR) was measured in the right liver lobe with a 4 cm 3 volume of interest as an indicator for objective image quality. Descriptive statistics were computed. Results Two hundred forty-three children and adolescents underwent a total of 466 examinations. The median injected 18F-FDG activity in MBq decreased significantly from 296 MBq in 2000–2005 to 100 MBq in 2016–2021 ( p < 0.001), equaling approximately one-third of the initial amount. The median SNR ratio was stable during all years with 11.7 (interquartile range [IQR] 10.7–12.9, p = 0.133). Conclusions Children have benefited from a massive reduction in the administered 18F-FDG dose over the past 20 years without compromising objective image quality. Clinical relevance statement Radiotracer dose was reduced considerably over the past two decades of pediatric F-18-fluorodeoxyglucose PET/CT and PET/MR imaging highlighting the success of technical innovations in pediatric PET imaging. Key Points • The evolution of administered radiotracer activity for F-18-fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0–16 years) between 2000 and 2021 was assessed. • The injected tracer activity decreased by 66% during the study period from 296 megabecquerel (MBq) to 100 MBq (p < 0.001). • The continuous implementation of technical innovations in pediatric hybrid 18F-FDG PET has led to a steady decrease in the amount of applied radiotracer, which is particularly beneficial for children who are more sensitive to radiation.

الإتاحة: https://doi.org/10.1007/s00330-023-10319-6Test

المؤلفون: Gennari, Antonio G., Rossi, Alexia, Sartoretti, Thomas, Maurer, Alexander, Skawran, Stephan, Treyer, Valerie, Sartoretti, Elisabeth, Curioni-Fontecedro, Alessandra, Schwyzer, Moritz, Waelti, Stephan, Huellner, Martin W., Messerli, Michael

المساهمون: Swiss Government Excellence Scholarship, CRPP “AI Oncological Imaging Network”, Palatin fundation

المصدر: Scientific Reports ; volume 13, issue 1 ; ISSN 2045-2322

مصطلحات موضوعية: Multidisciplinary

الوصف: This study aimed to evaluate the diagnostic accuracy of Node Reporting and Data System (Node-RADS) in discriminating between normal, reactive, and metastatic axillary LNs in patients with melanoma who underwent SARS-CoV-2 vaccination. Patients with proven melanoma who underwent a 2-[ 18 F]-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (2-[ 18 F]-FDG PET/CT) between February and April 2021 were included in this retrospective study. Primary melanoma site, vaccination status, injection site, and 2-[ 18 F]-FDG PET/CT were used to classify axillary LNs into normal, inflammatory, and metastatic (combined classification). An adapted Node-RADS classification (A-Node-RADS) was generated based on LN anatomical characteristics on low-dose CT images and compared to the combined classification. 108 patients were included in the study (54 vaccinated). HALNs were detected in 42 patients (32.8%), of whom 97.6% were vaccinated. 172 LNs were classified as normal, 30 as inflammatory, and 14 as metastatic using the combined classification. 152, 22, 29, 12, and 1 LNs were classified A-Node-RADS 1, 2, 3, 4, and 5, respectively. Hence, 174, 29, and 13 LNs were deemed benign, equivocal, and metastatic. The concordance between the classifications was very good (Cohen’s k : 0.91, CI 0.86–0.95; p -value < 0.0001). A-Node-RADS can assist the classification of axillary LNs in melanoma patients who underwent 2-[ 18 F]-FDG PET/CT and SARS-CoV-2 vaccination.

الإتاحة: https://doi.org/10.1038/s41598-023-44215-2Test
https://www.nature.com/articles/s41598-023-44215-2.pdfTest
https://www.nature.com/articles/s41598-023-44215-2Test

المؤلفون: Gennari, Antonio G., Rossi, Alexia, De Cecco, Carlo N., van Assen, Marly, Sartoretti, Thomas, Giannopoulos, Andreas A., Schwyzer, Moritz, Huellner, Martin W., Messerli, Michael

المصدر: International Journal of Cardiovascular Imaging; May2024, Vol. 40 Issue 5, p951-966, 16p

مستخلص: Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as one of the most robust approaches for atherosclerotic cardiovascular disease risk stratification in primary prevention and a powerful tool to guide therapeutic choices. Groundbreaking advances in computational models and computer power translated into a surge of artificial intelligence (AI)-based approaches directly or indirectly linked to CACS analysis. This review aims to provide essential knowledge on the AI-based techniques currently applied to CACS, setting the stage for a holistic analysis of the use of these techniques in coronary artery calcium imaging. While the focus of the review will be detailing the evidence, strengths, and limitations of end-to-end CACS algorithms in electrocardiography-gated and non-gated scans, the current role of deep-learning image reconstructions, segmentation techniques, and combined applications such as simultaneous coronary artery calcium and pulmonary nodule segmentation, will also be discussed. [ABSTRACT FROM AUTHOR]

: Copyright of International Journal of Cardiovascular Imaging is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

المؤلفون: Waelti, Stephan, Skawran, Stephan, Sartoretti, Thomas, Schwyzer, Moritz, Gennari, Antonio G., Mader, Cäcilia, Treyer, Valerie, Kellenberger, Christian J., Burger, Irene A., Hany, Thomas, Maurer, Alexander, Huellner, Martin W., Messerli, Michael

المصدر: European Radiology; May2024, Vol. 34 Issue 5, p3252-3259, 8p

مصطلحات موضوعية: MAGNETIC resonance imaging, WHOLE body imaging, RADIOACTIVE tracers, TECHNOLOGICAL innovations, POSITRON emission tomography, CHILD patients

مستخلص: Objectives: To assess the evolution of administered radiotracer activity for F-18-fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0–16 years) between years 2000 and 2021. Methods: Pediatric patients (≤ 16 years) referred for 18F-FDG PET/CT or PET/MR imaging of the body during 2000 and 2021 were retrospectively included. The amount of administered radiotracer activity in megabecquerel (MBq) was recorded, and signal-to-noise ratio (SNR) was measured in the right liver lobe with a 4 cm³ volume of interest as an indicator for objective image quality. Descriptive statistics were computed. Results: Two hundred forty-three children and adolescents underwent a total of 466 examinations. The median injected 18F-FDG activity in MBq decreased significantly from 296 MBq in 2000–2005 to 100 MBq in 2016–2021 (p < 0.001), equaling approximately one-third of the initial amount. The median SNR ratio was stable during all years with 11.7 (interquartile range [IQR] 10.7–12.9, p = 0.133). Conclusions: Children have benefited from a massive reduction in the administered 18F-FDG dose over the past 20 years without compromising objective image quality. Clinical relevance statement: Radiotracer dose was reduced considerably over the past two decades of pediatric F-18-fluorodeoxyglucose PET/CT and PET/MR imaging highlighting the success of technical innovations in pediatric PET imaging. Key Points: • The evolution of administered radiotracer activity for F-18-fluorodeoxyglucose (18F-FDG) PET/CT or PET/MR in pediatric patients (0–16 years) between 2000 and 2021 was assessed. • The injected tracer activity decreased by 66% during the study period from 296 megabecquerel (MBq) to 100 MBq (p < 0.001). • The continuous implementation of technical innovations in pediatric hybrid 18F-FDG PET has led to a steady decrease in the amount of applied radiotracer, which is particularly beneficial for children who are more sensitive to radiation. [ABSTRACT FROM AUTHOR]

: Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)