Spinal Neoplasms

Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

Clinical neurology and neurosurgery 32028128

OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc spondylectomy (TES) of lumbar spinal metastases.

Adult Aged Biomechanical Phenomena Blood Loss, Surgical Cerebrospinal Fluid Leak Female Humans Kidney Neoplasms Length of Stay Liver Neoplasms Low Back Pain Lumbar Vertebrae Lung Neoplasms Male Metastasectomy Middle Aged Neurosurgical Procedures Operative Time Pain Measurement Plastic Surgery Procedures Postoperative Complications Prostatic Neoplasms Psoas Muscles Rectal Neoplasms Retrospective Studies Spinal Neoplasms Spinal Nerve Roots Surgical Wound Infection

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External validation of the SORG 90-day and 1-year machine learning algorithms for survival in spinal metastatic disease.

The spine journal : official journal of the North American Spine Society 31505303

BACKGROUND CONTEXT: Preoperative survival estimation in spinal metastatic disease helps determine the appropriateness of invasive management. The SORG ML 90-day and 1-year machine learning algorithms for survival in spinal metastatic disease were pre...

Aged Female Humans Machine Learning Male Middle Aged Spinal Neoplasms Survival Analysis

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Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.

International journal of radiation oncology, biology, physics 32446952

PURPOSE: To determine whether a machine learning approach optimizes survival estimation for patients with symptomatic bone metastases (SBM), we developed the Bone Metastases Ensemble Trees for Survival (BMETS) to predict survival using 27 prognostic ...

Algorithms Analgesics, Opioid Area Under Curve Blood Cell Count Bone Neoplasms Female Humans Kaplan-Meier Estimate Karnofsky Performance Status Life Expectancy Machine Learning Male Middle Aged Palliative Care Pelvic Bones Prognosis Proportional Hazards Models Reproducibility of Results Spinal Neoplasms Steroids Time Factors

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Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

World neurosurgery 33212282

OBJECTIVE: Mortality following surgical resection of spinal tumors is a devastating outcome. Naïve Bayes machine learning algorithms may be leveraged in surgical planning to predict mortality. In this investigation, we use a Naïve Bayes classificatio...

Aged Ascites Bayes Theorem Blood Coagulation Disorders Body Mass Index Dyspnea Female Humans Hypertension Hypoalbuminemia Laminectomy Machine Learning Male Metastasectomy Middle Aged Mortality Multivariate Analysis Odds Ratio Preoperative Care Pulmonary Disease, Chronic Obstructive Respiration, Artificial Risk Assessment Serum Albumin Smoking Spinal Neoplasms Weight Loss

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Deep Learning on MRI Images for Diagnosis of Lung Cancer Spinal Bone Metastasis.

Contrast media & molecular imaging 34354553

This paper aimed to explore the adoption of deep learning algorithms in lung cancer spinal bone metastasis diagnosis. Comprehensive analysis was carried out with the aid of AdaBoost algorithm and Chan-Vese (CV) algorithm. 87 patients with lung cancer...

Adult Aged Algorithms Bone Neoplasms Deep Learning Female Follow-Up Studies Humans Image Processing, Computer-Assisted Lung Neoplasms Magnetic Resonance Imaging Male Middle Aged Prognosis Spinal Neoplasms

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A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society 35089420

PURPOSE: To improve the performance of less experienced clinicians in the diagnosis of benign and malignant spinal fracture on MRI, we applied the ResNet50 algorithm to develop a decision support system.

Deep Learning Diagnosis, Differential Humans Magnetic Resonance Imaging Retrospective Studies Spinal Fractures Spinal Neoplasms

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Development and external validation of predictive algorithms for six-week mortality in spinal metastasis using 4,304 patients from five institutions.

The spine journal : official journal of the North American Spine Society 35843533

BACKGROUND CONTEXT: Historically, spine surgeons used expected postoperative survival of 3-months to help select candidates for operative intervention in spinal metastasis. However, this cutoff has been challenged by the development of minimally inva...

Algorithms Humans Logistic Models Machine Learning Quality of Life Spinal Neoplasms

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Identification of Origin for Spinal Metastases from MR Images: Comparison Between Radiomics and Deep Learning Methods.

World neurosurgery 37059360

OBJECTIVE: To determine whether spinal metastatic lesions originated from lung cancer or from other cancers based on spinal contrast-enhanced T1 (CET1) magnetic resonance (MR) images analyzed using radiomics (RAD) and deep learning (DL) methods.

Deep Learning Humans Lung Neoplasms Magnetic Resonance Imaging Retrospective Studies Spinal Neoplasms

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Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.

Clinical orthopaedics and related research 37306629

BACKGROUND: The Skeletal Oncology Research Group machine-learning algorithm (SORG-MLA) was developed to predict the survival of patients with spinal metastasis. The algorithm was successfully tested in five international institutions using 1101 patie...

Aged Algorithms Decision Support Techniques Female Humans Internet Machine Learning Male Middle Aged Predictive Value of Tests Prognosis Retrospective Studies Risk Factors Spinal Neoplasms

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CORR Insights®: Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.

Clinical orthopaedics and related research 37493449

Algorithms Female Humans Internet Machine Learning Male Predictive Value of Tests Spinal Neoplasms

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Single-stage posterior total en bloc spondylectomy in the treatment of lumbar spinal metastases.

External validation of the SORG 90-day and 1-year machine learning algorithms for survival in spinal metastatic disease.

Developing an Improved Statistical Approach for Survival Estimation in Bone Metastases Management: The Bone Metastases Ensemble Trees for Survival (BMETS) Model.

Predicting Postoperative Mortality After Metastatic Intraspinal Neoplasm Excision: Development of a Machine-Learning Approach.

Deep Learning on MRI Images for Diagnosis of Lung Cancer Spinal Bone Metastasis.

A deep learning-based method for the diagnosis of vertebral fractures on spine MRI: retrospective training and validation of ResNet.

Development and external validation of predictive algorithms for six-week mortality in spinal metastasis using 4,304 patients from five institutions.

Identification of Origin for Spinal Metastases from MR Images: Comparison Between Radiomics and Deep Learning Methods.

Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.

CORR Insights®: Does the Presence of Missing Data Affect the Performance of the SORG Machine-learning Algorithm for Patients With Spinal Metastasis? Development of an Internet Application Algorithm.

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