Objective: To comprehensively assess the relationship between nerve conduction study (NCS), sympathetic skin response (SSR), and demographic factors in patients with diabetic neuropathy, exploring potential risk factors and mechanisms. Methods: A retrospective study (N=184) included patients diagnosed with type 2 diabetes mellitus undergoing NCS and SSR. Demographic, clinical, and laboratory data were analyzed. Patients were categorized by diabetic peripheral neuropathy (DPN) and SSR stages for comparative analysis. Results: HbA1c levels correlated with DPN progression. SSR stages exhibited age-related differences. Height correlated with DPN but not SSR stages. Body mass index showed no significant differences. Conclusion While DPN progression correlated with glycemic control and duration of diabetes, SSR was influenced by age. Unexpectedly, cholesterol levels remained within the normal range, challenging established concepts. Understanding these relationships is crucial for interpreting test results and developing targeted interventions for diabetic neuropathy.

Background: Lipomas are common benign connective-tissue tumors that usually present as slow-growing, painless, subcutaneous masses. Deeper variants, such as intramuscular, intermuscular, and submuscular lipomas, are larger and rarer. Accurate preoperative depth determination is crucial for planning appropriate surgical resection. Methods: We retrospectively reviewed 190 lipoma cases treated at a single medical center from January 2013 to August 2023. The accuracy of preoperative imaging techniques–ultrasonography (USG), computed tomography (CT), and magnetic resonance imaging (MRI)–in predicting lipoma depth was assessed. Results: USG, CT, and MRI showed accuracies of 72.5%, 56.5%, and 79.3%, respectively, with MRI showing the highest predictive accuracy. The trunk was the most common site for lipomas (49.5%), followed by the upper (20.5%) and lower extremities (13.2%). USG was more accurate for lipomas in the lower extremities and neck, whereas CT was less accurate for lipomas in the trunk. Conclusion MRI is preferable for the preoperative depth assessment of lipomas, especially those located in the trunk. Accurate imaging is essential for guiding surgical planning and avoiding complications. Further studies with larger sample sizes are required to validate our findings.

Purpose: Commonly used surgical approaches for internal plate fixation of transcondylar distal humeral fractures may require ulnar nerve release or anterior transposition, and extensive surgical dissection can cause triceps weakness. This study reports the surgical technique and clinical outcomes of a medial and lateral approach for dual-plate fixation of transcondylar distal humeral fractures without ulnar nerve release or extensive surgical dissection. Methods: Sixteen patients (mean age, 81.25 years; range, 70–95 years) who underwent plate fixation using a medial and lateral approach for distal humeral transcondylar fractures were retrospectively reviewed. An anatomical distal humerus parallel or orthogonal locking plate was used for internal fixation. Ulnar nerve release was not performed in any patients. Surgical outcomes were evaluated 1 year postoperatively based on the level of pain, elbow range of motion, the Mayo elbow performance score, and postoperative complications. Results: The mean visual analog scale score was 0.47. The mean range of motion of the elbow joint was 13.8° for extension and 131.8° for flexion. The Mayo Elbow Performance Score was excellent in nine patients and good in seven. Bone union was achieved in all patients. There were no complications such as ulnar neuropathy, heterotopic ossification, or infection. Conclusion In transcondylar distal humeral fracture in older adults, a medial and lateral approach with dual anatomical locking plate fixation is recommended as a surgical technique that has the advantage of enabling rigid fixation without necessitating ulnar nerve release and extensive surgical dissection. Nonetheless, further research should be conducted.

The application area of biportal endoscopic spine surgery (BESS) is gradually expanding. Compared with conventional fusion surgery, transforaminal interbody fusion (TLIF) using BESS (BESS-TLIF) has the advantages of less bleeding, minimal postoperative pain, and faster recovery. This technical note highlights its application in managing complex conditions such as scar tissue adhesion, altered anatomy, and implant removal, common in reoperations. The method focuses on precise dissection, endoscopic visualization, and careful tissue handling to ensure effective decompression and stabilization. Three representative cases, including reoperations for recurrent disc herniation, adjacent segment disease (ASD) following prior fusion, and ASD with nonunion of the prior fusion site requiring fusion extension, were described. All three cases exhibited clinical improvement following surgery. BESS is an effective and safe method for spinal revision surgery not only in simple decompression surgery but also in cases that required fusion surgery. As BESS is advancing, its role in complex spinal surgeries is expected to expand, potentially setting new standards in minimally invasive spine surgery.

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: To establish local diagnostic reference levels (DRLs) for pediatric neck CT based on age, weight, and water-equivalent diameter (WED) across multiple university hospitals in South Korea. Materials and Methods: This retrospective study analyzed pediatric neck CT examinations from nine university hospitals, involving patients aged 0–18 years. Data were categorized by age, weight, and WED, and radiation dose metrics, including volume CT dose index (CTDIvol) and dose length product, were recorded. Data retrieval and analysis were conducted using a commercially available dose-management system (Radimetrics, Bayer Healthcare). Local DRLs were established following the International Commission on Radiological Protection guidelines, using the 75th percentile as the reference value. Results: A total of 1159 CT examinations were analyzed, including 169 scans from Institution 1, 132 from Institution 2, 126 from Institution 3, 129 from Institution 4, 128 from Institution 5, 105 from Institution 6, 162 from Institution 7, 127 from Institution 8, and 81 from Institution 9. Radiation dose metrics increased with age, weight, and WED, showing significant variability both within and across institutions. For patients weighing less than 10 kg, the DRL for CTDIvol was 5.2 mGy. In the 10–19 kg group, the DRL was 5.8 mGy; in the 20–39 kg group, 7.6 mGy; in the 40–59 kg group, 11.0 mGy; and for patients weighing 60 kg or more, 16.2 mGy. DRLs for CTDIvol by age groups were as follows: 5.3 mGy for infants under 1 year, 5.7 mGy for children aged 1–4 years, 7.6 mGy for ages 5–9 years, 11.2 mGy for ages 10–14 years, and 15.6 mGy for patients 15 years or older. Conclusion Local DRLs for pediatric neck CT were established based on age, weight, and WED across nine university hospitals in South Korea.

Objective: To assess the feasibility of ultrafast brain magnetic resonance imaging (MRI) in pediatric patients. Materials and Methods: We retrospectively reviewed 194 pediatric patients aged 0 to 19 years (median 10.2 years) who underwent both ultrafast and conventional brain MRI between May 2019 and August 2020. Ultrafast MRI sequences included T1 and T2-weighted images (T1WI and T2WI), fluid-attenuated inversion recovery (FLAIR), T2*-weighted image (T2*WI), and diffusion-weighted image (DWI). Qualitative image quality and lesion evaluations were conducted on 5-point Likert scales by two blinded radiologists, with quantitative assessment of lesion count and size on T1WI, T2WI, and FLAIR sequences for each protocol. Wilcoxon signed-rank tests and intraclass correlation coefficient (ICC) analyses were used for comparison. Results: The total scan times for equivalent image contrasts were 1 minute 44 seconds for ultrafast MRI and 15 minutes 30 seconds for conventional MRI. Overall, image quality was lower in ultrafast MRI than in conventional MRI, with mean quality scores ranging from 2.0 to 4.8 for ultrafast MRI and 4.8 to 5.0 for conventional MRI across sequences (P < 0.001 for T1WI, T2WI, FLAIR, and T2*WI for both readers; P = 0.018 [reader 1] and 0.031 [reader 2] for DWI). Lesion detection rates on ultrafast MRI relative to conventional MRI were as follows: T1WI, 97.1%; T2WI, 99.6%; FLAIR, 92.9%; T2*WI, 74.1%; and DWI, 100%. The ICC (95% confidence interval) for lesion size measurements between ultrafast and conventional MRI was as follows: T1WI, 0.998 (0.996–0.999); T2WI, 0.998 (0.997–0.999); and FLAIR, 0.99 (0.985–0.994). Conclusion Ultrafast MRI significantly reduces scan time and provides acceptable results, albeit with slightly lower image quality than conventional MRI, for evaluating intracranial abnormalities in pediatric patients.

Objective: To prospectively evaluate the effect of accelerated deep learning-based reconstruction (Accel-DL) on improving brain magnetic resonance imaging (MRI) quality and reducing scan time compared to that in conventional MRI. Materials and Methods: This study included 150 participants (51 male; mean age 57.3 ± 16.2 years). Each group of 50 participants was scanned using one of three 3T scanners from three different vendors. Conventional and Accel-DL MRI images were obtained from each participant and compared using 2D T1- and T2-weighted and 3D gradient-echo sequences. Accel-DL acquisition was achieved using optimized scan parameters to reduce the scan time, with the acquired images reconstructed using U-Net-based software to transform low-quality, undersampled k-space data into high-quality images. The scan times of Accel-DL and conventional MRI methods were compared. Four neuroradiologists assessed the overall image quality, structural delineation, and artifacts using Likert scale (5- and 3-point scales). Inter-reader agreement was assessed using Fleiss’ kappa coefficient. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and volumetric quantification of regional structures and white matter hyperintensities (WMHs) was performed. Results: Accel-DL showed a mean scan time reduction of 39.4% (range, 24.2%–51.3%). Accel-DL improved overall image quality (3.78 ± 0.71 vs. 3.36 ± 0.61, P < 0.001), structure delineation (2.47 ± 0.61 vs. 2.35 ± 0.62, P < 0.001), and artifacts (3.73 ± 0.72 vs. 3.71 ± 0.69, P = 0.016). Inter-reader agreement was fair to substantial (κ = 0.34–0.50). SNR and CNR increased in Accel-DL (82.0 ± 23.1 vs. 31.4 ± 10.8, P = 0.02; 12.4 ± 4.1 vs. 4.4 ± 11.2, P = 0.02). Bland-Altman plots revealed no significant differences in the volumetric measurements of 98.2% of the relevant regions, except in the deep gray matter, including the thalamus. Five of the six lesion categories showed no significant differences in WMH segmentation, except for leukocortical lesions (r = 0.64 ± 0.29). Conclusion Accel-DL substantially reduced the scan time and improved the quality of brain MRI in both spin-echo and gradientecho sequences without compromising volumetry, including lesion quantification.

Hydrops fetalis is a condition characterized by excessive fluid accumulation in the fetus, and is classified into immune and non-immune types depending on the underlying disease. Among cases of non-immune hydrops fetalis (NIHF), 15% to 20% are of cardiac origin, and genetic factors such as titin (TTN) gene mutations can contribute to cardiac dysfunction. We report the case of a preterm infant (29+2 weeks, 1,430 g) with hydrops fetalis who developed cardiac tamponade due to major pericardial effusion. Seven hours after birth, the heart rate suddenly decreased, and blood pressure could not be measured. Transthoracic echocardiography revealed substantial pericardial effusion and severely impaired cardiac function, and the preterm infant was diagnosed with pericardial tamponade. Emergency pericardiocentesis was performed, which led to hemodynamic stabilization. Genetic testing identified two heterozygous TTN mutations (c.13898A>T and c.27856G>T), with the latter presumed responsible for the observed cardiac dysfunction. The mother was found to carry the c.13898A>T mutation, but was asymptomatic. This case report highlights the importance of genetic testing in neonates with unexplained NIHF and cardiac complications. Identifying TTN gene mutations provides valuable insights into the underlying pathophysiology and guides clinical management.