Impacto do equilíbrio espinopélvico nos resultados clínicos e funcionais após artrodese instrumentada em doentes com espondilolistese degenerativa

Duarte, Filípe; Sousa, Aureliana; Raposo, Frederico; Valente, Luís Filipe Almeida; Nevès, Nuno; Gonçalves, António Moura; Pinto, Rui

doi:10.1590/s1808-18512013000300004

Cited by 2 publications

(1 citation statement)

References 10 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An account of the normal angle-measurement range determined by various authors in several studies (Duarte et al, 2013;Asai et al, 2017) is given in Table 2.…”

Section: Radiological Diagnostic Parametersmentioning

confidence: 99%

Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms

Reshi

Ashraf

Rustam

et al. 2021

PeerJ Computer Science

View full text Add to dashboard Cite

Medical diagnosis through the classification of biomedical attributes is one of the exponentially growing fields in bioinformatics. Although a large number of approaches have been presented in the past, wide use and superior performance of the machine learning (ML) methods in medical diagnosis necessitates significant consideration for automatic diagnostic methods. This study proposes a novel approach called concatenated resampling (CR) to increase the efficacy of traditional ML algorithms. The performance is analyzed leveraging four ML approaches like tree-based ensemble approaches, and linear machine learning approach for automatic diagnosis of inter-vertebral pathologies with increased. Besides, undersampling, over-sampling, and proposed CR techniques have been applied to unbalanced training dataset to analyze the impact of these techniques on the accuracy of each of the classification model. Extensive experiments have been conducted to make comparisons among different classification models using several metrics including accuracy, precision, recall, and F1 score. Comparative analysis has been performed on the experimental results to identify the best performing classifier along with the application of the re-sampling technique. The results show that the extra tree classifier achieves an accuracy of 0.99 in association with the proposed CR technique.

show abstract

“…An account of the normal angle-measurement range determined by various authors in several studies (Duarte et al, 2013;Asai et al, 2017) is given in Table 2.…”

Section: Radiological Diagnostic Parametersmentioning

confidence: 99%

Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms

Reshi

Ashraf

Rustam

et al. 2021

PeerJ Computer Science

View full text Add to dashboard Cite

show abstract

Combination of degenerative lumbar spinal stenosis and spinal deformity. Literature review

Nikitin

Грин

2018

Nejrohirurgiâ (Mosk.)

View full text Add to dashboard Cite

The study objective is to analyze currently available publications on spinal deformity in patients with degenerative lumbar spinal stenosis.Materials and methods. We analyzed 90 manuscripts published between 1980 and 2017.Results. We describe the parameters used to assess spinal deformity and evaluate their role for predicting the course of degenerative spinal disease. We provide the results of latest studies assessing the impact of spinal deformity on the outcome of surgical treatment in patients with degenerative lumbar spinal stenosis. We identified the following risk factors for scoliosis progression: wedge-shaped intervertebral disc in the frontal projection, low middle sacral axis, lateral spondylolisthesis, small L vertebral body, vertebral rotation, Cobb angle >20°, and sagittal imbalance.Conclusion. We recommend decompressive interventions with facet joint preservation in patients with spinal deformity and degenerative lumbar spinal stenosis with no risk factors for scoliosis progression and radicular symptoms only (without pronounced low back pain). In patients with no risk factors for scoliosis progression, radicular symptoms, and low back pain, it is advisable to combine decompression with short fixation. For individuals at risk of scoliosis progression, we recommend supplementing decompression with long fixation exceeding scoliosis curve.

show abstract

Impacto do equilíbrio espinopélvico nos resultados clínicos e funcionais após artrodese instrumentada em doentes com espondilolistese degenerativa

Cited by 2 publications

References 10 publications

Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms

Diagnosis of vertebral column pathologies using concatenated resampling with machine learning algorithms

Combination of degenerative lumbar spinal stenosis and spinal deformity. Literature review

Contact Info

Product

Resources

About