Neuromyelitis optica spectrum disorder (NMOSD) is a rare inflammatory disease that most often affects the optic nerves and spinal cord. We describe a case of 36-year-old woman presented at 13 weeks of gestation with 4 extremities paresthesia and weakness that had lasted for two months at her first visit to our hospital. She had two previous uncomplicated full-term vaginal deliveries and no significant medical or family history. Spine magnetic resonance imaging (MRI) showed extensive cervical cord lesion and aquaporin-4 antibodies were strongly positive, confirming the diagnosis of NMOSD. Initial management with high-dose corticosteroids and plasmapheresis was done and she showed substantial improvement, but she revisited hospital at 26 weeks of gestational age due to visual disturbance and aggravated weakness. Relapse of NMOSD was confirmed by spine MRI, so rituximab therapy was initiated at 28 weeks of gestational age for prevention of recurrence.The patient showed clinical improvement with no adverse effects and relapse of symptoms. She successfully delivered a healthy male infant at 39 weeks and 3 days of gestational age through uncomplicated vaginal delivery. This case demonstrates successful management of new-onset NMOSD during pregnancy using a multi-modal treatment approach including rituximab.

Neuromyelitis optica spectrum disorder (NMOSD) is a rare inflammatory disease that most often affects the optic nerves and spinal cord. We describe a case of 36-year-old woman presented at 13 weeks of gestation with 4 extremities paresthesia and weakness that had lasted for two months at her first visit to our hospital. She had two previous uncomplicated full-term vaginal deliveries and no significant medical or family history. Spine magnetic resonance imaging (MRI) showed extensive cervical cord lesion and aquaporin-4 antibodies were strongly positive, confirming the diagnosis of NMOSD. Initial management with high-dose corticosteroids and plasmapheresis was done and she showed substantial improvement, but she revisited hospital at 26 weeks of gestational age due to visual disturbance and aggravated weakness. Relapse of NMOSD was confirmed by spine MRI, so rituximab therapy was initiated at 28 weeks of gestational age for prevention of recurrence.The patient showed clinical improvement with no adverse effects and relapse of symptoms. She successfully delivered a healthy male infant at 39 weeks and 3 days of gestational age through uncomplicated vaginal delivery. This case demonstrates successful management of new-onset NMOSD during pregnancy using a multi-modal treatment approach including rituximab.

Neuromyelitis optica spectrum disorder (NMOSD) is a rare inflammatory disease that most often affects the optic nerves and spinal cord. We describe a case of 36-year-old woman presented at 13 weeks of gestation with 4 extremities paresthesia and weakness that had lasted for two months at her first visit to our hospital. She had two previous uncomplicated full-term vaginal deliveries and no significant medical or family history. Spine magnetic resonance imaging (MRI) showed extensive cervical cord lesion and aquaporin-4 antibodies were strongly positive, confirming the diagnosis of NMOSD. Initial management with high-dose corticosteroids and plasmapheresis was done and she showed substantial improvement, but she revisited hospital at 26 weeks of gestational age due to visual disturbance and aggravated weakness. Relapse of NMOSD was confirmed by spine MRI, so rituximab therapy was initiated at 28 weeks of gestational age for prevention of recurrence.The patient showed clinical improvement with no adverse effects and relapse of symptoms. She successfully delivered a healthy male infant at 39 weeks and 3 days of gestational age through uncomplicated vaginal delivery. This case demonstrates successful management of new-onset NMOSD during pregnancy using a multi-modal treatment approach including rituximab.

Neuromyelitis optica spectrum disorder (NMOSD) is a rare inflammatory disease that most often affects the optic nerves and spinal cord. We describe a case of 36-year-old woman presented at 13 weeks of gestation with 4 extremities paresthesia and weakness that had lasted for two months at her first visit to our hospital. She had two previous uncomplicated full-term vaginal deliveries and no significant medical or family history. Spine magnetic resonance imaging (MRI) showed extensive cervical cord lesion and aquaporin-4 antibodies were strongly positive, confirming the diagnosis of NMOSD. Initial management with high-dose corticosteroids and plasmapheresis was done and she showed substantial improvement, but she revisited hospital at 26 weeks of gestational age due to visual disturbance and aggravated weakness. Relapse of NMOSD was confirmed by spine MRI, so rituximab therapy was initiated at 28 weeks of gestational age for prevention of recurrence.The patient showed clinical improvement with no adverse effects and relapse of symptoms. She successfully delivered a healthy male infant at 39 weeks and 3 days of gestational age through uncomplicated vaginal delivery. This case demonstrates successful management of new-onset NMOSD during pregnancy using a multi-modal treatment approach including rituximab.

Neuromyelitis optica spectrum disorder (NMOSD) is a rare inflammatory disease that most often affects the optic nerves and spinal cord. We describe a case of 36-year-old woman presented at 13 weeks of gestation with 4 extremities paresthesia and weakness that had lasted for two months at her first visit to our hospital. She had two previous uncomplicated full-term vaginal deliveries and no significant medical or family history. Spine magnetic resonance imaging (MRI) showed extensive cervical cord lesion and aquaporin-4 antibodies were strongly positive, confirming the diagnosis of NMOSD. Initial management with high-dose corticosteroids and plasmapheresis was done and she showed substantial improvement, but she revisited hospital at 26 weeks of gestational age due to visual disturbance and aggravated weakness. Relapse of NMOSD was confirmed by spine MRI, so rituximab therapy was initiated at 28 weeks of gestational age for prevention of recurrence.The patient showed clinical improvement with no adverse effects and relapse of symptoms. She successfully delivered a healthy male infant at 39 weeks and 3 days of gestational age through uncomplicated vaginal delivery. This case demonstrates successful management of new-onset NMOSD during pregnancy using a multi-modal treatment approach including rituximab.

Purpose: This study explored the feasibility of utilizing a deep learning artificial intelligence (AI) model to detect ileocolic intussusception on grayscale ultrasound images. Methods: This retrospective observational study incorporated ultrasound images of children who underwent emergency ultrasonography for suspected ileocolic intussusception. After excluding video clips, Doppler images, and annotated images, 40,765 images from two tertiary hospitals were included (positive-to-negative ratio: hospital A, 2,775:35,373; hospital B, 140:2,477). Images from hospital A were split into a training set, a tuning set, and an internal test set (ITS) at a ratio of 7:1.5:1.5. Images from hospital B comprised an external test set (ETS). For each image indicating intussusception, two radiologists provided a bounding box as the ground-truth label. If intussusception was suspected in the input image, the model generated a bounding box with a confidence score (0-1) at the estimated lesion location. Average precision (AP) was used to evaluate overall model performance. The performance of practical thresholds for the modelgenerated confidence score, as determined from the ITS, was verified using the ETS. Results: The AP values for the ITS and ETS were 0.952 and 0.936, respectively. Two confidence thresholds, CTopt and CTprecision, were set at 0.557 and 0.790, respectively. For the ETS, the perimage precision and recall were 95.7% and 80.0% with CTopt, and 98.4% and 44.3% with CTprecision. For per-patient diagnosis, the sensitivity and specificity were 100.0% and 97.1% with CTopt, and 100.0% and 99.0% with CTprecision. The average number of false positives per patient was 0.04 with CTopt and 0.01 for CTprecision. Conclusion The feasibility of using an AI model to diagnose ileocolic intussusception on ultrasonography was demonstrated. However, further study involving bias-free data is warranted for robust clinical validation.

Purpose: This study explored the feasibility of utilizing a deep learning artificial intelligence (AI) model to detect ileocolic intussusception on grayscale ultrasound images. Methods: This retrospective observational study incorporated ultrasound images of children who underwent emergency ultrasonography for suspected ileocolic intussusception. After excluding video clips, Doppler images, and annotated images, 40,765 images from two tertiary hospitals were included (positive-to-negative ratio: hospital A, 2,775:35,373; hospital B, 140:2,477). Images from hospital A were split into a training set, a tuning set, and an internal test set (ITS) at a ratio of 7:1.5:1.5. Images from hospital B comprised an external test set (ETS). For each image indicating intussusception, two radiologists provided a bounding box as the ground-truth label. If intussusception was suspected in the input image, the model generated a bounding box with a confidence score (0-1) at the estimated lesion location. Average precision (AP) was used to evaluate overall model performance. The performance of practical thresholds for the modelgenerated confidence score, as determined from the ITS, was verified using the ETS. Results: The AP values for the ITS and ETS were 0.952 and 0.936, respectively. Two confidence thresholds, CTopt and CTprecision, were set at 0.557 and 0.790, respectively. For the ETS, the perimage precision and recall were 95.7% and 80.0% with CTopt, and 98.4% and 44.3% with CTprecision. For per-patient diagnosis, the sensitivity and specificity were 100.0% and 97.1% with CTopt, and 100.0% and 99.0% with CTprecision. The average number of false positives per patient was 0.04 with CTopt and 0.01 for CTprecision. Conclusion The feasibility of using an AI model to diagnose ileocolic intussusception on ultrasonography was demonstrated. However, further study involving bias-free data is warranted for robust clinical validation.

Purpose: This study explored the feasibility of utilizing a deep learning artificial intelligence (AI) model to detect ileocolic intussusception on grayscale ultrasound images. Methods: This retrospective observational study incorporated ultrasound images of children who underwent emergency ultrasonography for suspected ileocolic intussusception. After excluding video clips, Doppler images, and annotated images, 40,765 images from two tertiary hospitals were included (positive-to-negative ratio: hospital A, 2,775:35,373; hospital B, 140:2,477). Images from hospital A were split into a training set, a tuning set, and an internal test set (ITS) at a ratio of 7:1.5:1.5. Images from hospital B comprised an external test set (ETS). For each image indicating intussusception, two radiologists provided a bounding box as the ground-truth label. If intussusception was suspected in the input image, the model generated a bounding box with a confidence score (0-1) at the estimated lesion location. Average precision (AP) was used to evaluate overall model performance. The performance of practical thresholds for the modelgenerated confidence score, as determined from the ITS, was verified using the ETS. Results: The AP values for the ITS and ETS were 0.952 and 0.936, respectively. Two confidence thresholds, CTopt and CTprecision, were set at 0.557 and 0.790, respectively. For the ETS, the perimage precision and recall were 95.7% and 80.0% with CTopt, and 98.4% and 44.3% with CTprecision. For per-patient diagnosis, the sensitivity and specificity were 100.0% and 97.1% with CTopt, and 100.0% and 99.0% with CTprecision. The average number of false positives per patient was 0.04 with CTopt and 0.01 for CTprecision. Conclusion The feasibility of using an AI model to diagnose ileocolic intussusception on ultrasonography was demonstrated. However, further study involving bias-free data is warranted for robust clinical validation.

This manuscript represents the official position of the Korean Society of Echocardiography on valvular heart diseases.This position paper focuses on the clinical management of valvular heart diseases with reference to the guidelines recently published by the American College of Cardiology/American Heart Association and the European Society of Cardiology. The committee tried to reflect the recently published results on the topic of valvular heart diseases and Korean data by a systematic literature search based on validity and relevance. In part I of this article, we will review and discuss the current position of aortic valve disease in Korea.