AIMC Topic: Spinal Neoplasms

Clear Filters Showing 1 to 10 of 39 articles

A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Apr 29, 2025
BACKGROUND AND PURPOSE: The most common adverse event following spine stereotactic body radiotherapy (SBRT) is vertebral compression fracture (VCF). There is interest in the development of patient-specific tools that can predict those at high risk of...
Risk Factors Aged Aged, 80 and over Male Radiosurgery Spinal Fractures Fractures, Compression Middle Aged Spinal Neoplasms Humans Machine Learning Retrospective Studies Female
View on PubMed DOI

Towards real-time conformal palliative treatment of spine metastases: A deep learning approach for Hounsfield Unit recovery of cone beam CT images.

Medical physics Apr 21, 2025
BACKGROUND: The extension of onboard cone-beam CT (CBCT) imaging for real-time treatment planning is constrained by limitations in image quality. Synthetic CT (sCT) generation using deep learning provides a potential solution to these limitations.
Humans Deep Learning Time Factors Cone-Beam Computed Tomography Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Palliative Care Radiotherapy, Conformal Spinal Neoplasms
View on PubMed DOI

External validation of a machine learning prediction model for massive blood loss during surgery for spinal metastases: a multi-institutional study using 880 patients.

The spine journal : official journal of the North American Spine Society Mar 27, 2025
BACKGROUND CONTEXT: A machine learning (ML) model was recently developed to predict massive intraoperative blood loss (>2,500 mL) during posterior decompressive surgery for spinal metastasis that performed well on external validation within the same ...
Spinal Neoplasms Decompression, Surgical Aged Male Middle Aged Blood Loss, Surgical Humans Machine Learning Retrospective Studies Female
View on PubMed DOI

Predicting quality of life of patients after treatment for spinal metastatic disease: development and internal evaluation.

The spine journal : official journal of the North American Spine Society Mar 26, 2025
BACKGROUND CONTEXT: When treating spinal metastases in a palliative setting, maintaining or enhancing quality of life (QoL) is the primary therapeutic objective. Clinicians tailor their treatment strategy by weighing the QoL benefits against expected...
Netherlands Spinal Neoplasms Male Middle Aged Quality of Life Cohort Studies Humans Machine Learning Prospective Studies Female Aged Adult
View on PubMed DOI

Development and evaluation of a deep learning framework for pelvic and sacral tumor segmentation from multi-sequence MRI: a retrospective study.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 13, 2025
BACKGROUND: Accurate segmentation of pelvic and sacral tumors (PSTs) in multi-sequence magnetic resonance imaging (MRI) is essential for effective treatment and surgical planning.
Male Spinal Neoplasms Middle Aged Retrospective Studies Humans Deep Learning Pelvic Neoplasms Female Magnetic Resonance Imaging Sacrum Aged Adult
View on PubMed DOI

Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

Academic radiology Feb 28, 2025
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spinal MRI sequences using the denoising diffusion probabilistic model (DDPM) and to compare its performance against one baseline model pix2pix and three a...
Humans Algorithms Adult Sensitivity and Specificity Male Middle Aged Contrast Media Computer Simulation Female Reproducibility of Results Aged Spinal Neoplasms Image Enhancement Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging Models, Statistical Image Interpretation, Computer-Assisted Artifacts
View on PubMed DOI

External validation of 12 existing survival prediction models for patients with spinal metastases.

The spine journal : official journal of the North American Spine Society Jan 31, 2025
BACKGROUND CONTEXT: Survival prediction models for patients with spinal metastases may inform patients and clinicians in shared decision-making.
Middle Aged Spinal Neoplasms Humans Prospective Studies Prognosis Retrospective Studies Female Aged Adult Male
View on PubMed DOI

Identifying Primary Sites of Spinal Metastases: Expert-Derived Features vs. ResNet50 Model Using Nonenhanced MRI.

Journal of magnetic resonance imaging : JMRI Jan 27, 2025
BACKGROUND: The spinal column is a frequent site for metastases, affecting over 30% of solid tumor patients. Identifying the primary tumor is essential for guiding clinical decisions but often requires resource-intensive diagnostics.
Retrospective Studies Female Reproducibility of Results Aged Humans Artificial Intelligence ROC Curve Magnetic Resonance Imaging Spine Image Interpretation, Computer-Assisted Spinal Neoplasms Adult Male Middle Aged Deep Learning
View on PubMed DOI

Comparative diagnostic accuracy of ChatGPT-4 and machine learning in differentiating spinal tuberculosis and spinal tumors.

The spine journal : official journal of the North American Spine Society Jan 11, 2025
BACKGROUND: In clinical practice, distinguishing between spinal tuberculosis (STB) and spinal tumors (ST) poses a significant diagnostic challenge. The application of AI-driven large language models (LLMs) shows great potential for improving the accu...
Diagnosis, Differential Spinal Neoplasms Tuberculosis, Spinal Male Aged Middle Aged Machine Learning Young Adult Generative Artificial Intelligence Algorithms Adult Magnetic Resonance Imaging Retrospective Studies Humans Sensitivity and Specificity Female
View on PubMed DOI

Assessing the prognostic impact of body composition phenotypes on surgical outcomes and survival in patients with spinal metastasis: a deep learning approach to preoperative CT analysis.

Journal of neurosurgery. Spine Dec 20, 2024
OBJECTIVE: The prognostic significance of body composition phenotypes for survival in patients undergoing surgical intervention for spinal metastases has not yet been elucidated. This study aimed to elucidate the impact of body composition phenotypes...
Middle Aged Tomography, X-Ray Computed Humans Sarcopenia Deep Learning Treatment Outcome Obesity Body Composition Spinal Neoplasms Phenotype Prognosis Retrospective Studies Female Aged Male
View on PubMed DOI
Popular Topics
Recent Journals