Purpose: To demonstrate the feasibility of quantitative, one-dimensional proton MR spectroscopic imaging (1D-MRSI) of the upper cervical spine and medulla at 3.0 Tesla.
Materials And Methods: A method was developed for 1D-point-resolved spectroscopy sequence (PRESS)-MRSI, exciting signal in five voxels extending from the pontomedullary junction to the level of the C3 vertebra, and performed in 10 healthy volunteers to generate control data.
Results: High-resolution 1D-MRSI data were obtained from all 10 subjects. Upper cervical spine concentrations of choline, creatine, and N-acetyl aspartate were estimated to be 2.8 +/- 0.5, 8.8 +/- 1.8, and 10.9 +/- 2.7 mM, respectively, while in the medulla they were 2.6 +/- 0.5, 9.1 +/- 1.7, and 10.8 +/- 0.9 mM.
Conclusion: Quantitative 1D-MRSI of the upper cervical spine has been shown to be feasible at 3.0 Tesla.
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http://dx.doi.org/10.1002/jmri.21008 | DOI Listing |
Laryngoscope Investig Otolaryngol
February 2025
Objectives: Hypoglossal nerve stimulation (HGNS) is a promising surgical option for patients with obstructive sleep apnea (OSA) who are intolerant of continuous positive airway pressure therapy (CPAP). Efficacy studies for HGNS stimulation largely focus on the apnea-hypopnea index and/or oxygen desaturation index. This study's objective was to show the physiological effects of HGNS stimulation on upper airway patency, airflow, and treatment effect during polysomnography (PSG) testing.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Orthopedic Surgery, Beijing Chao-Yang Hospital, Capital Medical University, GongTiNanLu 8#, Chaoyang District, Beijing, 100020, China.
We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in early-onset scoliosis (EOS) and identify the risk factors of sagittal cervical imbalance after growing-rod surgery of machine learning. EOS patients from our centre between 2007 and 2019 were retrospectively reviewed. Radiographic parameters include the cervical lordosis (CL), T1 slope, C2-C7 sagittal vertical axis (C2-7 SVA), primary curve Cobb angle, thoracic kyphosis (TK), C7-S1 sagittal vertical axis (C7-S1 SVA) and proximal junctional angle (PJA) were evaluated preoperatively, postoperatively and at the final follow-up.
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Department of Endocrinology, Yinzhou No.2 Hospital, Ningbo, Zhejiang 315040, China. Electronic address:
Objective: This study aims to evaluate the clinical outcomes of utilizing C1 posterior arch screws (PAS) combined with C2 translaminar screws as an adjunct for reinforcing upper cervical spine fixation.
Methods: A retrospective analysis was conducted on four male patients who underwent surgery involving C1 PASs and C2 translaminar screws between January 2022 and February 2024. Surgical technique involved the insertion of standard C1 lateral mass screws (LMS) and C2 pedicle screws, followed by the placement of C1 PASs and C2 translaminar screws for additional fixation.
Sci Prog
January 2025
Faculty of Medicine, Kilimanjaro Christian Medical University College, Moshi, Tanzania.
Primary solitary extramedullary plasmacytoma is a malignant neoplasm characterized by the monoclonal proliferation of plasma cells outside the bone marrow. The tumor rarely occurs in the sinonasal tract, accounting for about 4% of all non-epithelial sinonasal tumors. Herein, the authors describe a rare case of sinonasal extramedullary plasmacytoma in a 33-year-old man who presented with a 3-month history of progressively increasing nasal mass, causing obstruction.
View Article and Find Full Text PDFJ Bone Joint Surg Am
November 2024
Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY.
Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.
Methods: A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed.
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