Publications by authors named "Tu-Lan Vu-Han"

Article Synopsis
  • 5q-Spinal muscular atrophy (SMA) is a rare disease that can now be treated, presenting new challenges for pediatricians as treatment decisions evolve with disease-modifying therapies.
  • A data-driven machine learning approach was used to analyze a dataset of 84 SMA patients, focusing on predicting scoliosis by selecting relevant features through expert knowledge and statistical methods.
  • The study identified key predictors like motor function scores, age, weight, and various medical interventions, achieving a prediction accuracy of 82% using a Random Forest Classifier.
View Article and Find Full Text PDF

Intrawound application of vancomycin is becoming increasingly controversial for the prevention of surgical site infection (SSI). As children undergoing spinal fusion for secondary scoliosis are at high risk for SSIs, evidence regarding the impact of intraoperative vancomycin installation on SSI rates in these patients is of utmost importance. A single surgeon cohort of patients under 18 years of age undergoing surgery for secondary scoliosis in 2017 was analyzed with regard to the development of SSIs requiring surgical revision and adverse events.

View Article and Find Full Text PDF

5q-spinal muscular atrophy (SMA) is a neuromuscular disorder (NMD) that has become one of the first 5% treatable rare diseases. The efficacy of new SMA therapies is creating a dynamic SMA patient landscape, where disease progression and scoliosis development play a central role, however, remain difficult to anticipate. New approaches to anticipate disease progression and associated sequelae will be needed to continuously provide these patients the best standard of care.

View Article and Find Full Text PDF

Background Context: Machine learning is a powerful tool that has become increasingly important in the orthopedic field. Recently, several studies have reported that predictive models could provide new insights into patient risk factors and outcomes. Anterior cervical discectomy and fusion (ACDF) is a common operation that is performed as an outpatient procedure.

View Article and Find Full Text PDF

Background Context: Degenerative lumbar spondylolisthesis (DLS) is a prevalent spinal disorder, often requiring surgical intervention. Accurately predicting surgical outcomes is crucial to guide clinical decision-making, but this is challenging due to the multifactorial nature of postoperative results. Traditional risk assessment tools have limitations, and with the advent of machine learning, there is potential to enhance the precision and comprehensiveness of preoperative evaluations.

View Article and Find Full Text PDF

In Germany, bone allografts are widely used and their application in clinics has increased over the years. Successful use of allografts depends on many factors such as the procurement, processing, sterilization and the surgeon's surgical experience. Tissue banks have provided safe and sterile allografts for decades ranging from hard to soft tissue.

View Article and Find Full Text PDF

Gas in the intervertebral disc is mainly associated with degenerative disc diseases and experts generally assume that it is unlikely in spinal infection. However, large-scale studies supporting this notion are lacking, which is why our study's aim was to analyze the prevalence of and factors associated with the occurrence of gas in patients with spontaneous spondylodiscitis. Patients presenting with spontaneous spondylodiscitis from 2006 to 2020 were included retrospectively.

View Article and Find Full Text PDF

Purpose: Even though spinal infections are associated with high mortality and morbidity, their therapy remains challenging due to a lack of established classification systems and widely accepted guidelines for surgical treatment. This study's aim therefore was to propose a comprehensive classification system for spinal instability based on the Spinal Instability Neoplastic Score (SINS) aiding spine surgeons in choosing optimal treatment for spontaneous spondylodiscitis.

Methods: Patients who were treated for spontaneous spondylodiscitis and received computed tomography (CT) imaging were included retrospectively.

View Article and Find Full Text PDF

(1) Background: Improved surgical techniques and implants in total knee arthroplasty (TKA) have led to broader indications for surgical interventions of osteoarthritis of the knee. There is a growing young and active patient subgroup with high return to sports (RTS) expectations after TKA. The current lack of evidence regarding RTS capacity in this patient cohort, requires the consolidation of experts' opinions and experiences to address the special needs among these patients.

View Article and Find Full Text PDF

Proper chromatin function and maintenance of genomic stability depends on spatiotemporal coordination between the transcription and replication machinery. Loss of this coordination can lead to DNA damage from increased transcription-replication collision events. We report that deregulated transcription following BRD4 loss in cancer cells leads to the accumulation of RNA:DNA hybrids (R-loops) and collisions with the replication machinery causing replication stress and DNA damage.

View Article and Find Full Text PDF

Effective treatment for glioblastoma (GBM) is limited by the presence of the blood-brain barrier (BBB) and rapid resistance to single agent therapies. To address these issues, we developed a transferrin-functionalized nanoparticle (Tf-NP) that can deliver dual combination therapies. Using intravital imaging, we show the ability of Tf-NPs to traverse intact BBB in mice as well as achieve direct tumor binding in two intracranial orthotopic models of GBM.

View Article and Find Full Text PDF

Atypical teratoid rhabdoid tumor (AT/RT), a rare and highly malignant tumor entity of the central nervous system that presents in early childhood, has a poor prognosis. AT/RTs are characterized by biallelic inactivating mutations of the gene SMARCB1 in 98% of patients; these mutations may serve as molecular markers for residual tumor cell detection in liquid biopsies. We developed a marker-specific method to detect residual AT/RT cells.

View Article and Find Full Text PDF