Objectives: Although non-ampullary duodenal neuroendocrine tumors (NADNETs) are rare neoplasms, their incidence has been increasing. In this study, we aimed to analyze the long-term outcomes of patients with NADNETs who underwent endoscopic resection (ER) or surgery. Methods: This retrospective study included 55 adults (aged 26–78 years) diagnosed with NADNETs between 2009 and 2022 at Seoul National University Hospital. We categorized the patients into 3 groups: 21 underwent ER, 28 underwent surgical resection, and 6 had no detectable residual tumors after the initial biopsy during the follow-up period. Continuous data were examined using the Mann–Whitney U or Kruskal–Wallis tests, and categorical variables were analyzed using the χ2 or Fisher’s exact tests. Results: A total of 21 patients, with a mean tumor size of 9.2±5.3 mm, underwent successful ER. After ER, three patients experienced perforation (14% [3/21]); two underwent primary repair surgery, and one recovered with conservative treatment. The mean tumor size of 28 patients who underwent surgical resection was 13.9±6.7 mm. There were no cases of postoperative bleeding or perforation; however, four patients experienced ileus and required prolonged hospital stays. The median follow-up periods for patients who underwent ER, surgical resection, and removal after the initial biopsy were 42, 48, and 42.5 months, respectively. During the follow-up period, no recurrence was observed in any group. Conclusions Recurrence-free survival in patients undergoing ER for NADNETs, with an endoscopically measured size of approximately 10 mm, was comparable to that of patients undergoing surgical resection. However, ER carried a relatively high risk of perforation due to the challenging anatomical access and thin duodenal wall.

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.

Objectives: Although non-ampullary duodenal neuroendocrine tumors (NADNETs) are rare neoplasms, their incidence has been increasing. In this study, we aimed to analyze the long-term outcomes of patients with NADNETs who underwent endoscopic resection (ER) or surgery. Methods: This retrospective study included 55 adults (aged 26–78 years) diagnosed with NADNETs between 2009 and 2022 at Seoul National University Hospital. We categorized the patients into 3 groups: 21 underwent ER, 28 underwent surgical resection, and 6 had no detectable residual tumors after the initial biopsy during the follow-up period. Continuous data were examined using the Mann–Whitney U or Kruskal–Wallis tests, and categorical variables were analyzed using the χ2 or Fisher’s exact tests. Results: A total of 21 patients, with a mean tumor size of 9.2±5.3 mm, underwent successful ER. After ER, three patients experienced perforation (14% [3/21]); two underwent primary repair surgery, and one recovered with conservative treatment. The mean tumor size of 28 patients who underwent surgical resection was 13.9±6.7 mm. There were no cases of postoperative bleeding or perforation; however, four patients experienced ileus and required prolonged hospital stays. The median follow-up periods for patients who underwent ER, surgical resection, and removal after the initial biopsy were 42, 48, and 42.5 months, respectively. During the follow-up period, no recurrence was observed in any group. Conclusions Recurrence-free survival in patients undergoing ER for NADNETs, with an endoscopically measured size of approximately 10 mm, was comparable to that of patients undergoing surgical resection. However, ER carried a relatively high risk of perforation due to the challenging anatomical access and thin duodenal wall.

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.

Objectives: Although non-ampullary duodenal neuroendocrine tumors (NADNETs) are rare neoplasms, their incidence has been increasing. In this study, we aimed to analyze the long-term outcomes of patients with NADNETs who underwent endoscopic resection (ER) or surgery. Methods: This retrospective study included 55 adults (aged 26–78 years) diagnosed with NADNETs between 2009 and 2022 at Seoul National University Hospital. We categorized the patients into 3 groups: 21 underwent ER, 28 underwent surgical resection, and 6 had no detectable residual tumors after the initial biopsy during the follow-up period. Continuous data were examined using the Mann–Whitney U or Kruskal–Wallis tests, and categorical variables were analyzed using the χ2 or Fisher’s exact tests. Results: A total of 21 patients, with a mean tumor size of 9.2±5.3 mm, underwent successful ER. After ER, three patients experienced perforation (14% [3/21]); two underwent primary repair surgery, and one recovered with conservative treatment. The mean tumor size of 28 patients who underwent surgical resection was 13.9±6.7 mm. There were no cases of postoperative bleeding or perforation; however, four patients experienced ileus and required prolonged hospital stays. The median follow-up periods for patients who underwent ER, surgical resection, and removal after the initial biopsy were 42, 48, and 42.5 months, respectively. During the follow-up period, no recurrence was observed in any group. Conclusions Recurrence-free survival in patients undergoing ER for NADNETs, with an endoscopically measured size of approximately 10 mm, was comparable to that of patients undergoing surgical resection. However, ER carried a relatively high risk of perforation due to the challenging anatomical access and thin duodenal wall.

Objectives: Although non-ampullary duodenal neuroendocrine tumors (NADNETs) are rare neoplasms, their incidence has been increasing. In this study, we aimed to analyze the long-term outcomes of patients with NADNETs who underwent endoscopic resection (ER) or surgery. Methods: This retrospective study included 55 adults (aged 26–78 years) diagnosed with NADNETs between 2009 and 2022 at Seoul National University Hospital. We categorized the patients into 3 groups: 21 underwent ER, 28 underwent surgical resection, and 6 had no detectable residual tumors after the initial biopsy during the follow-up period. Continuous data were examined using the Mann–Whitney U or Kruskal–Wallis tests, and categorical variables were analyzed using the χ2 or Fisher’s exact tests. Results: A total of 21 patients, with a mean tumor size of 9.2±5.3 mm, underwent successful ER. After ER, three patients experienced perforation (14% [3/21]); two underwent primary repair surgery, and one recovered with conservative treatment. The mean tumor size of 28 patients who underwent surgical resection was 13.9±6.7 mm. There were no cases of postoperative bleeding or perforation; however, four patients experienced ileus and required prolonged hospital stays. The median follow-up periods for patients who underwent ER, surgical resection, and removal after the initial biopsy were 42, 48, and 42.5 months, respectively. During the follow-up period, no recurrence was observed in any group. Conclusions Recurrence-free survival in patients undergoing ER for NADNETs, with an endoscopically measured size of approximately 10 mm, was comparable to that of patients undergoing surgical resection. However, ER carried a relatively high risk of perforation due to the challenging anatomical access and thin duodenal wall.

Vertebral arteriovenous fistula (VAVF) is a rare lesion characterized by an abnormal connection between the extracranial vertebral artery and the surrounding venous plexus. It typically arises due to penetrating injury, although it can occasionally result from blunt trauma. Brachial plexus injury (BPI) is also infrequently associated with VAVF. We present a rare case of VAVF caused by blunt trauma, which resulted in BPI. The patient, who had previously sustained a C2 fracture and C2–3 myelopathy from a bicycle accident, presented with new-onset weakness in the right upper extremity. His previous clinical history led to an initial suspicion of either an exacerbation of a pre-existing lesion or a shoulder injury. However, electromyography indicated that the weakness was due to BPI. Further evaluations later revealed VAVF to be the primary cause of the BPI. VAVF must be recognized as a rare potential reason for BPI, as timely intervention is essential for improving patient recovery and prognosis.

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.