PreOperative Planning for Adult Spinal Deformity Goals: Level Selection and Alignment Goals

What if You Could Treat the Same Patient Again, Would You do the Exact Same Spine Surgery? A Multi-Surgeon Survey of Their Own Revisions

Study DesignCase-based survey.ObjectivesThis study aims to investigate what a group of surgeons learned from their own revisions, and what they would do differently today.MethodsA multi-center database of ASD surgical patients was queried to identify those with at least 2 surgical procedures performed by the same surgeon between 2009 and 2019. A clinical vignette was created for each case including demographics, a timeline of events, radiographs/measurements, patient-reported outcomes, complications, and surgical strategies used for the index and revision surgeries. The operative surgeon was then asked to fill out a five-question survey aimed at determining factors that contribute to operative decision-making and planning.Results86 patients were operated on by 6 participating surgeons for both index and revision ASD surgery. The revised patients had similar follow-up compared to the non-revised group (P = 0.73), with the most common complications indicating a need for revision surgery being proximal junctional failure (42%) and pseudoarthrosis (28%). Surgeons reported that they would not change their surgical strategy in 52.3% of the cases. The leading cause for revision was hardware/instrumentation issues (24.4%). Learning points included rod-related choice (23.3%), level selection (19.8), PJF prophylactic strategy (15.1%), and sagittal alignment objective (11.6%).ConclusionsSurgeons saw opportunity in nearly half of the cases to improve outcomes by changing something in the original surgery. While 40% of the failures remained unexplained from the surgeons' perspective, this study highlights the capacity for adopting changes in adult spinal deformity surgery and illuminates the reasoning behind certain surgical decisions.

Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Scoping Review

BACKGROUND AND OBJECTIVE

Preoperative neurosurgical planning is an important step in avoiding surgical complications, reducing morbidity, and improving patient safety. The incursion of machine learning (ML) in this domain has recently gained attention, given the notable advantages in processing large datasets and potentially generating efficient and accurate algorithms in patient care. We explored the evolving applications of ML algorithms in the preoperative planning of brain and spine surgery.

METHODS

In accordance with the Arksey and O'Malley framework, a scoping review was conducted using 3 databases (PubMed, Embase, and Web of Science). Articles that described the use of ML for preoperative planning in brain and spine surgery were included. Relevant data were collected regarding the neurosurgical field of application, patient baseline features, disease description, type of ML technology, study's aim, preoperative ML algorithm description, and advantages and limitations of ML algorithms.

RESULTS

Our search strategy yielded 7407 articles, of which 8 studies (5 retrospective, 2 prospective, and 1 experimental) satisfied the inclusion criteria. Clinical information from 518 patients (62.7% female; mean age: 44.8 years) was used for generating ML algorithms, including convolutional neural networks (14.3%), logistic regression (14.3%), and random forest (14.3%), among others. Neurosurgical fields of applications included functional neurosurgery (37.5%), tumor surgery (37.5%), and spine surgery (25%). The main advantages of ML included automated processing of clinical and imaging information, selection of an individualized patient surgical approach, and data-driven support for treatment decision-making. All studies reported technical limitations, such as long processing time, algorithmic bias, limited generalizability, and the need for database updating and maintenance.

CONCLUSIONS

ML algorithms for preoperative neurosurgical planning are being developed for efficient, automated, and safe treatment decision-making. However, future studies are necessary to validate their objective performance across diverse clinical scenarios. Enhancing the robustness, transparency, and understanding of ML applications will be crucial for their successful integration into neurosurgical practice.

Segmental Lordosis Restoration During Lumbar Degenerative Spinal Fusion: Surgical Techniques and Outcomes

The science of spinal alignment has progressed rapidly since Jean Doubousset described the cone of economy in the 1970s. It is now clearly established that global and regional spinal alignment are associated with improved patient-reported outcome and rates of success of lumbar spinal fusion. Evidence has now emerged that segmental level-by-level alignment is also associated with positive patient outcomes. As such, restoring sagittal alignment matched to spinopelvic morphology during degenerative lumbar surgery can optimize surgical outcomes by preventing adjacent segment pathology. This review focuses on the vital importance of spinal alignment in different spinal conditions, provides a guide for measurement of spinopelvic parameters, and outlines literature regarding lumbar restoration in degenerative spinal fusion.

Efficacy of intervertebral release combined with asymmetric osteotomy in rigid degenerative scoliosis

PURPOSE

The aim of this study is to evaluate the clinical efficacy and safety of treating patients with rigid degenerative scoliosis by restoring intervertebral balance through a combination of interbody release and asymmetric grade 1 and 2 osteotomy.

METHOD

The medical collected clinical and radiographic data of patients with rigid degenerative scoliosis from our department between 2015 and 2022. A total of 60 patients were included in the study, comprising 20 males and 40 females, with an average follow-up period of 30.7 months. Data recorded included surgery duration, blood loss, number of fixed segments, hospital stay, complications, clinical scores, and radiographic parameters.

RESULTS

The sagittal vertical axis improved from 4.28 ± 1.48 cm preoperatively to 2.90 ± 1.18 cm postoperatively, while the coronal vertical axis improved from 3.29 ± 1.72 cm preoperatively to 1.12 ± 0.62 cm postoperatively. The preoperative coronal Cobb angle was 30.85 ± 7.33°, which improved to 4.14 ± 3.06°postoperatively. Additionally, lumbar lordosis increased from 24.50 ± 17.24°preoperatively to 30.35 ± 6.11°postoperatively. VAS scores for back pain and leg pain, ODI scores, and JOA scores showed varying degrees of improvement.

CONCLUSION

Interbody release combined with asymmetric Grade 1 and 2 osteotomy to restore intervertebral balance significantly improves spinal deformity and postoperative functional scores in patients with rigid degenerative scoliosis.

Autism Spectrum Disorder: Brain Areas Involved, Neurobiological Mechanisms, Diagnoses and Therapies

Autism spectrum disorder (ASD), affecting over 2% of the pre-school children population, includes an important fraction of the conditions accounting for the heterogeneity of autism. The disease was discovered 75 years ago, and the present review, based on critical evaluations of the recognized ASD studies from the beginning of 1990, has been further developed by the comparative analyses of the research and clinical reports, which have grown progressively in recent years up to late 2023. The tools necessary for the identification of the ASD disease and its related clinical pathologies are genetic and epigenetic mutations affected by the specific interaction with transcription factors and chromatin remodeling processes occurring within specific complexes of brain neurons. Most often, the ensuing effects induce the inhibition/excitation of synaptic structures sustained primarily, at dendritic fibers, by alterations of flat and spine response sites. These effects are relevant because synapses, established by specific interactions of neurons with glial cells, operate as early and key targets of ASD. The pathology of children is often suspected by parents and communities and then confirmed by ensuing experiences. The final diagnoses of children and mature patients are then completed by the combination of neuropsychological (cognitive) tests and electro-/magneto-encephalography studies developed in specialized centers. ASD comorbidities, induced by processes such as anxieties, depressions, hyperactivities, and sleep defects, interact with and reinforce other brain diseases, especially schizophrenia. Advanced therapies, prescribed to children and adult patients for the control of ASD symptoms and disease, are based on the combination of well-known brain drugs with classical tools of neurologic and psychiatric practice. Overall, this review reports and discusses the advanced knowledge about the biological and medical properties of ASD.