Objective: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pediatric brain MRI protocol using a deep learning (DL)-based reconstruction algorithm on scan time and image quality. Materials and Methods: This retrospective study included 46 pediatric patients who underwent conventional and accelerated, pre- and post-contrast, 3D T1-weighted brain MRI using a 3T scanner (SIGNA Premier; GE HealthCare) at a single tertiary referral center between March 1, 2023, and April 30, 2023. Conventional scans were reconstructed using intensity Filter A (Conv), whereas accelerated scans were reconstructed using intensity Filter A (Fast_A) and a DL-based algorithm (Fast_DL).Image quality was assessed quantitatively based on the coefficient of variation, relative contrast, apparent signal-to-noise ratio (aSNR), and apparent contrast-to-noise ratio (aCNR) and qualitatively according to radiologists’ ratings of overall image quality, artifacts, noisiness, gray-white matter differentiation, and lesion conspicuity. Results: The acquisition times for the pre- and post-contrast scans were 191 and 135 seconds, respectively, for the conventional scan. With the accelerated protocol, these were reduced to 135 and 80 seconds, achieving time reductions of 29.3% and 40.7%, respectively. DL-based reconstruction significantly reduced the coefficient of variation, improved the aSNR, aCNR, and overall image quality, and reduced the number of artifacts compared with the conventional acquisition method (all P < 0.05). However, the lesion conspicuity remained similar between the two protocols. Conclusion Utilizing a DL-based reconstruction algorithm in accelerated 3D T1-weighted pediatric brain MRI can significantly shorten the acquisition time, enhance image quality, and reduce artifacts, making it a viable option for pediatric imaging.

Systemic corticosteroids play an essential role in the management of asthma. During acute exacerbation, the short-term use of systemic corticosteroids is recommended. For patients with uncontrolled asthma and severe asthma, long-term and low-dose oral corticosteroids (OCS) have frequently been advocated. However, both short-term and long-term use of systemic corticosteroids carry the risk of adverse events (AEs), including various morbidities and even mortality. Despite recent progress in adult severe asthma management and the availability of new treatment options, the current domestic guidelines for asthma do not provide specific recommendations for oral corticosteroid tapering in patients with severe asthma. Therefore, the task force team of the severe asthma working group in the Korean Academy of Allergy, Asthma, and Clinical Immunology has proposed a tapering protocol for systemic corticosteroid use in severe asthma. This includes practical recommendations for monitoring OCS-related AE, particularly for adrenal insufficiency and osteoporosis, which suggests corticosteroid-sparing strategies that include alternative therapies, modifying treatable traits, timely specialist assessment, and shared decision-making with patients. However, further real-world research and collaboration with doctors from primary and academic institutes, patients, and policymakers are necessary to establish an OCS stewardship approach. This should include realistic OCS-tapering strategies for patients with severe asthma using regular OCS, education, and campaigns for patients, the public, and healthcare providers about the burden of severe asthma, as well as improving timely access to specialized severe asthma services for optimal management.

Objective: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pediatric brain MRI protocol using a deep learning (DL)-based reconstruction algorithm on scan time and image quality. Materials and Methods: This retrospective study included 46 pediatric patients who underwent conventional and accelerated, pre- and post-contrast, 3D T1-weighted brain MRI using a 3T scanner (SIGNA Premier; GE HealthCare) at a single tertiary referral center between March 1, 2023, and April 30, 2023. Conventional scans were reconstructed using intensity Filter A (Conv), whereas accelerated scans were reconstructed using intensity Filter A (Fast_A) and a DL-based algorithm (Fast_DL).Image quality was assessed quantitatively based on the coefficient of variation, relative contrast, apparent signal-to-noise ratio (aSNR), and apparent contrast-to-noise ratio (aCNR) and qualitatively according to radiologists’ ratings of overall image quality, artifacts, noisiness, gray-white matter differentiation, and lesion conspicuity. Results: The acquisition times for the pre- and post-contrast scans were 191 and 135 seconds, respectively, for the conventional scan. With the accelerated protocol, these were reduced to 135 and 80 seconds, achieving time reductions of 29.3% and 40.7%, respectively. DL-based reconstruction significantly reduced the coefficient of variation, improved the aSNR, aCNR, and overall image quality, and reduced the number of artifacts compared with the conventional acquisition method (all P < 0.05). However, the lesion conspicuity remained similar between the two protocols. Conclusion Utilizing a DL-based reconstruction algorithm in accelerated 3D T1-weighted pediatric brain MRI can significantly shorten the acquisition time, enhance image quality, and reduce artifacts, making it a viable option for pediatric imaging.

Objective: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pediatric brain MRI protocol using a deep learning (DL)-based reconstruction algorithm on scan time and image quality. Materials and Methods: This retrospective study included 46 pediatric patients who underwent conventional and accelerated, pre- and post-contrast, 3D T1-weighted brain MRI using a 3T scanner (SIGNA Premier; GE HealthCare) at a single tertiary referral center between March 1, 2023, and April 30, 2023. Conventional scans were reconstructed using intensity Filter A (Conv), whereas accelerated scans were reconstructed using intensity Filter A (Fast_A) and a DL-based algorithm (Fast_DL).Image quality was assessed quantitatively based on the coefficient of variation, relative contrast, apparent signal-to-noise ratio (aSNR), and apparent contrast-to-noise ratio (aCNR) and qualitatively according to radiologists’ ratings of overall image quality, artifacts, noisiness, gray-white matter differentiation, and lesion conspicuity. Results: The acquisition times for the pre- and post-contrast scans were 191 and 135 seconds, respectively, for the conventional scan. With the accelerated protocol, these were reduced to 135 and 80 seconds, achieving time reductions of 29.3% and 40.7%, respectively. DL-based reconstruction significantly reduced the coefficient of variation, improved the aSNR, aCNR, and overall image quality, and reduced the number of artifacts compared with the conventional acquisition method (all P < 0.05). However, the lesion conspicuity remained similar between the two protocols. Conclusion Utilizing a DL-based reconstruction algorithm in accelerated 3D T1-weighted pediatric brain MRI can significantly shorten the acquisition time, enhance image quality, and reduce artifacts, making it a viable option for pediatric imaging.

Systemic corticosteroids play an essential role in the management of asthma. During acute exacerbation, the short-term use of systemic corticosteroids is recommended. For patients with uncontrolled asthma and severe asthma, long-term and low-dose oral corticosteroids (OCS) have frequently been advocated. However, both short-term and long-term use of systemic corticosteroids carry the risk of adverse events (AEs), including various morbidities and even mortality. Despite recent progress in adult severe asthma management and the availability of new treatment options, the current domestic guidelines for asthma do not provide specific recommendations for oral corticosteroid tapering in patients with severe asthma. Therefore, the task force team of the severe asthma working group in the Korean Academy of Allergy, Asthma, and Clinical Immunology has proposed a tapering protocol for systemic corticosteroid use in severe asthma. This includes practical recommendations for monitoring OCS-related AE, particularly for adrenal insufficiency and osteoporosis, which suggests corticosteroid-sparing strategies that include alternative therapies, modifying treatable traits, timely specialist assessment, and shared decision-making with patients. However, further real-world research and collaboration with doctors from primary and academic institutes, patients, and policymakers are necessary to establish an OCS stewardship approach. This should include realistic OCS-tapering strategies for patients with severe asthma using regular OCS, education, and campaigns for patients, the public, and healthcare providers about the burden of severe asthma, as well as improving timely access to specialized severe asthma services for optimal management.

Systemic corticosteroids play an essential role in the management of asthma. During acute exacerbation, the short-term use of systemic corticosteroids is recommended. For patients with uncontrolled asthma and severe asthma, long-term and low-dose oral corticosteroids (OCS) have frequently been advocated. However, both short-term and long-term use of systemic corticosteroids carry the risk of adverse events (AEs), including various morbidities and even mortality. Despite recent progress in adult severe asthma management and the availability of new treatment options, the current domestic guidelines for asthma do not provide specific recommendations for oral corticosteroid tapering in patients with severe asthma. Therefore, the task force team of the severe asthma working group in the Korean Academy of Allergy, Asthma, and Clinical Immunology has proposed a tapering protocol for systemic corticosteroid use in severe asthma. This includes practical recommendations for monitoring OCS-related AE, particularly for adrenal insufficiency and osteoporosis, which suggests corticosteroid-sparing strategies that include alternative therapies, modifying treatable traits, timely specialist assessment, and shared decision-making with patients. However, further real-world research and collaboration with doctors from primary and academic institutes, patients, and policymakers are necessary to establish an OCS stewardship approach. This should include realistic OCS-tapering strategies for patients with severe asthma using regular OCS, education, and campaigns for patients, the public, and healthcare providers about the burden of severe asthma, as well as improving timely access to specialized severe asthma services for optimal management.

Objective: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pediatric brain MRI protocol using a deep learning (DL)-based reconstruction algorithm on scan time and image quality. Materials and Methods: This retrospective study included 46 pediatric patients who underwent conventional and accelerated, pre- and post-contrast, 3D T1-weighted brain MRI using a 3T scanner (SIGNA Premier; GE HealthCare) at a single tertiary referral center between March 1, 2023, and April 30, 2023. Conventional scans were reconstructed using intensity Filter A (Conv), whereas accelerated scans were reconstructed using intensity Filter A (Fast_A) and a DL-based algorithm (Fast_DL).Image quality was assessed quantitatively based on the coefficient of variation, relative contrast, apparent signal-to-noise ratio (aSNR), and apparent contrast-to-noise ratio (aCNR) and qualitatively according to radiologists’ ratings of overall image quality, artifacts, noisiness, gray-white matter differentiation, and lesion conspicuity. Results: The acquisition times for the pre- and post-contrast scans were 191 and 135 seconds, respectively, for the conventional scan. With the accelerated protocol, these were reduced to 135 and 80 seconds, achieving time reductions of 29.3% and 40.7%, respectively. DL-based reconstruction significantly reduced the coefficient of variation, improved the aSNR, aCNR, and overall image quality, and reduced the number of artifacts compared with the conventional acquisition method (all P < 0.05). However, the lesion conspicuity remained similar between the two protocols. Conclusion Utilizing a DL-based reconstruction algorithm in accelerated 3D T1-weighted pediatric brain MRI can significantly shorten the acquisition time, enhance image quality, and reduce artifacts, making it a viable option for pediatric imaging.

Systemic corticosteroids play an essential role in the management of asthma. During acute exacerbation, the short-term use of systemic corticosteroids is recommended. For patients with uncontrolled asthma and severe asthma, long-term and low-dose oral corticosteroids (OCS) have frequently been advocated. However, both short-term and long-term use of systemic corticosteroids carry the risk of adverse events (AEs), including various morbidities and even mortality. Despite recent progress in adult severe asthma management and the availability of new treatment options, the current domestic guidelines for asthma do not provide specific recommendations for oral corticosteroid tapering in patients with severe asthma. Therefore, the task force team of the severe asthma working group in the Korean Academy of Allergy, Asthma, and Clinical Immunology has proposed a tapering protocol for systemic corticosteroid use in severe asthma. This includes practical recommendations for monitoring OCS-related AE, particularly for adrenal insufficiency and osteoporosis, which suggests corticosteroid-sparing strategies that include alternative therapies, modifying treatable traits, timely specialist assessment, and shared decision-making with patients. However, further real-world research and collaboration with doctors from primary and academic institutes, patients, and policymakers are necessary to establish an OCS stewardship approach. This should include realistic OCS-tapering strategies for patients with severe asthma using regular OCS, education, and campaigns for patients, the public, and healthcare providers about the burden of severe asthma, as well as improving timely access to specialized severe asthma services for optimal management.

Systemic corticosteroids play an essential role in the management of asthma. During acute exacerbation, the short-term use of systemic corticosteroids is recommended. For patients with uncontrolled asthma and severe asthma, long-term and low-dose oral corticosteroids (OCS) have frequently been advocated. However, both short-term and long-term use of systemic corticosteroids carry the risk of adverse events (AEs), including various morbidities and even mortality. Despite recent progress in adult severe asthma management and the availability of new treatment options, the current domestic guidelines for asthma do not provide specific recommendations for oral corticosteroid tapering in patients with severe asthma. Therefore, the task force team of the severe asthma working group in the Korean Academy of Allergy, Asthma, and Clinical Immunology has proposed a tapering protocol for systemic corticosteroid use in severe asthma. This includes practical recommendations for monitoring OCS-related AE, particularly for adrenal insufficiency and osteoporosis, which suggests corticosteroid-sparing strategies that include alternative therapies, modifying treatable traits, timely specialist assessment, and shared decision-making with patients. However, further real-world research and collaboration with doctors from primary and academic institutes, patients, and policymakers are necessary to establish an OCS stewardship approach. This should include realistic OCS-tapering strategies for patients with severe asthma using regular OCS, education, and campaigns for patients, the public, and healthcare providers about the burden of severe asthma, as well as improving timely access to specialized severe asthma services for optimal management.

Objective: This study evaluated the effect of an accelerated three-dimensional (3D) T1-weighted pediatric brain MRI protocol using a deep learning (DL)-based reconstruction algorithm on scan time and image quality. Materials and Methods: This retrospective study included 46 pediatric patients who underwent conventional and accelerated, pre- and post-contrast, 3D T1-weighted brain MRI using a 3T scanner (SIGNA Premier; GE HealthCare) at a single tertiary referral center between March 1, 2023, and April 30, 2023. Conventional scans were reconstructed using intensity Filter A (Conv), whereas accelerated scans were reconstructed using intensity Filter A (Fast_A) and a DL-based algorithm (Fast_DL).Image quality was assessed quantitatively based on the coefficient of variation, relative contrast, apparent signal-to-noise ratio (aSNR), and apparent contrast-to-noise ratio (aCNR) and qualitatively according to radiologists’ ratings of overall image quality, artifacts, noisiness, gray-white matter differentiation, and lesion conspicuity. Results: The acquisition times for the pre- and post-contrast scans were 191 and 135 seconds, respectively, for the conventional scan. With the accelerated protocol, these were reduced to 135 and 80 seconds, achieving time reductions of 29.3% and 40.7%, respectively. DL-based reconstruction significantly reduced the coefficient of variation, improved the aSNR, aCNR, and overall image quality, and reduced the number of artifacts compared with the conventional acquisition method (all P < 0.05). However, the lesion conspicuity remained similar between the two protocols. Conclusion Utilizing a DL-based reconstruction algorithm in accelerated 3D T1-weighted pediatric brain MRI can significantly shorten the acquisition time, enhance image quality, and reduce artifacts, making it a viable option for pediatric imaging.