Publications by authors named "Shuxun Lin"

Article Synopsis
  • A deep learning model was developed to detect and classify cervical cord signal abnormalities, spinal canal, and neural foraminal stenosis on MRI, aimed at improving reporting efficiency and consistency for cervical spondylosis.
  • The study analyzed 504 cervical spine MRIs from a patient sample with a mean age of 58, using 90% for training and 10% for internal testing, with additional external testing on another 100 MRIs.
  • Results showed the DL model achieved substantial agreement with human readers, outperforming them in classifying spinal canal and foraminal stenosis, and exhibited a high recall of 92.3% for cord signal abnormalities, demonstrating its potential effectiveness in clinical practice.
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Background Context: Symptomatic lumbar spinal stenosis is routinely treated with spinal decompression surgery, with an increasing trend towards minimally invasive techniques. Endoscopic decompression has emerged as a technique which minimizes approach-related morbidity while achieving similar clinical outcomes to conventional open or microscopic approaches.

Purpose: To assess the safety and efficacy of endoscopic versus microscopic decompression for treatment of lumbar spinal stenosis.

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Introduction: Metastatic spinal cord compression (MSCC) is a disastrous complication of advanced malignancy. A deep learning (DL) algorithm for MSCC classification on CT could expedite timely diagnosis. In this study, we externally test a DL algorithm for MSCC classification on CT and compare with radiologist assessment.

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Background: Endoscopic spine surgery has been established as a practical, minimally invasive technique for decompression in patients with lumbar spinal stenosis. However, there remains a paucity of studies prospective cohort study comparing uniportal lumbar endoscopic unilateral laminotomy with bilateral decompression and unilateral biportal endoscopic unilateral laminotomy with bilateral decompression with open spinal decompression-both viable techniques with satisfactory clinical outcomes in the treatment of lumbar spinal stenosis.

Objective/aim: To compare the efficacy of UPE and BPE lumbar decompression surgery for patients with lumbar spinal stenosis.

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Gallium nitride high electron mobility transistor (GaN HEMT) devices have become critical components in the manufacturing of high-performance radio frequency (RF) or power electronic modules due to their superior characteristics, such as high electron saturation speeds and high power densities. However, the high heat characteristics of GaN HEMTs make device level cooling a critical problem to solve since performance degradation or even failure may occur under high temperatures. In this paper, we proposed a 2.

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Background: Metastatic epidural spinal cord compression (MESCC) is a disastrous complication of advanced malignancy. Deep learning (DL) models for automatic MESCC classification on staging CT were developed to aid earlier diagnosis. Methods: This retrospective study included 444 CT staging studies from 185 patients with suspected MESCC who underwent MRI spine studies within 60 days of the CT studies.

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Background: Metastatic epidural spinal cord compression (MESCC) is a devastating complication of advanced cancer. A deep learning (DL) model for automated MESCC classification on MRI could aid earlier diagnosis and referral.

Purpose: To develop a DL model for automated classification of MESCC on MRI.

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Purpose: To radiographically compare lateral entry point S2-alar-iliac (L-S2AI) screw with conventional S2AI (C-S2AI) and conventional iliac screw (CIS) lengths and trajectories.

Methods: Twenty-five preoperative CT scans of consecutive patients undergoing adult spinal deformity realignment surgery over a random 2-year period were analysed. Maximum in-bone length, caudal and lateral trajectories of CIS, C-S2AI, and L-S2AI screws were measured and compared using One-way ANOVA with Tukey's post hoc tests.

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Study Design: Cross-sectional radiographic comparison study.

Objective: The aim of this study was to understand whole-body balancing in directed and natural standing postures, through comparison of kypholordotic ratios on whole-body radiographs of young, healthy subjects.

Summary Of Background Data: Recent studies highlighted the importance of understanding whole-body balancing, proposing the use of the more physiological natural standing posture, together with the conventional directed standing posture, for imaging.

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Introduction: With a recent resurgence of the 2019 coronavirus disease (COVID-19) cases globally, an increasing number of healthcare systems are adopting telemedicine as an alternative method of healthcare delivery in a bid to decrease disease transmission. Continued care of orthopaedic patients in the outpatient setting during the coronavirus disease of 2019 era can prove challenging without a systematic workflow, adequate logistics, and careful patient selection for teleconsultation. The aim of this paper is to describe our single-centre experience with the application of telemedicine in our orthopaedic practice, and its effectiveness in maintaining outpatient follow-up of orthopaedic patients.

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Instrumentation of the cervical spine with cervical pedicle screws (CPS) is beneficial in patients with various types of spinal pathology. Despite posing greater technical challenges, CPS instrumentation confers better fixation outcomes when compared to lateral mass screws. While developments in technology have augmented the accuracy of CPS insertion, mastery in freehand CPS insertion allows the aforementioned technologies to reach their full potential in improving patient outcomes.

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Lumbar disc herniation is common and may be symptomatic. The magnetic resonance imaging (MRI) scan is an appropriate tool to confirm the diagnosis and affected level of the spine. While a disc herniation is usually associated with ipsilateral symptoms, a few cases have been reported to present with contralateral symptoms.

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Article Synopsis
  • * The study combined a data review and a prospective analysis to identify risk factors for pressure injuries, considering various patient and surgical characteristics.
  • * Findings revealed a 23.0% prevalence of pressure injuries post-surgery, with previous skin issues and myelopathy identified as notable risk factors.
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