Application of artificial intelligence methods for imaging of spinal metastasis
Simple Summary Spinal metastasis is the most common malignant disease of the spine, and
its early diagnosis and treatment is important to prevent complications and improve quality of …
its early diagnosis and treatment is important to prevent complications and improve quality of …
Radiomics-based machine learning models to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest
Radiomics-based machine learning classifiers have shown potential for detecting bone
metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current …
metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current …
The importance of planning CT-based imaging features for machine learning-based prediction of pain response
Ó Llorián-Salvador, J Akhgar, S Pigorsch, K Borm… - Scientific Reports, 2023 - nature.com
Patients suffering from painful spinal bone metastases (PSBMs) often undergo palliative
radiation therapy (RT), with an efficacy of approximately two thirds of patients. In this …
radiation therapy (RT), with an efficacy of approximately two thirds of patients. In this …
[HTML][HTML] Machine Learning Approaches to Predict Symptoms in People With Cancer: Systematic Review
Background People with cancer frequently experience severe and distressing symptoms
associated with cancer and its treatments. Predicting symptoms in patients with cancer …
associated with cancer and its treatments. Predicting symptoms in patients with cancer …
Differentiation between spinal multiple myeloma and metastases originated from lung using multi-view attention-guided network
K Chen, J Cao, X Zhang, X Wang, X Zhao, Q Li… - Frontiers in …, 2022 - frontiersin.org
Purpose Multiple myeloma (MM) and metastasis originated are the two common malignancy
diseases in the spine. They usually show similar imaging patterns and are highly demanded …
diseases in the spine. They usually show similar imaging patterns and are highly demanded …
MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases
Y Chen, S Qin, W Zhao, Q Wang, K Liu, P Xin… - Insights into …, 2023 - Springer
Objective This study aimed to extract radiomics features from MRI using machine learning
(ML) algorithms and integrate them with clinical features to build response prediction models …
(ML) algorithms and integrate them with clinical features to build response prediction models …
Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases
Y Chen, Q Wang, G Zhou, K Liu, S Qin, W Zhao… - European …, 2023 - Springer
Objective To investigate the correlation of conventional MRI, DCE-MRI and clinical features
with pain response after stereotactic body radiotherapy (SBRT) in patients with spinal …
with pain response after stereotactic body radiotherapy (SBRT) in patients with spinal …
[PDF][PDF] A Multidisciplinary Update on Treatment Modalities for Metastatic Spinal Tumors with a Surgical Emphasis: A Literature Review and Evaluation of the Role of …
R Houston, S Desai, A Takayanagi, CQT Tran… - …, 2024 - pdfs.semanticscholar.org
Spinal metastases occur in up to 40% of patients with cancer. Of these cases, 10% become
symptomatic. The reported incidence of spinal metastases has increased in recent years …
symptomatic. The reported incidence of spinal metastases has increased in recent years …
[HTML][HTML] A Scalable Radiomics-and Natural Language Processing–Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal …
Background: The identification of objective pain biomarkers can contribute to an improved
understanding of pain, as well as its prognosis and better management. Hence, it has the …
understanding of pain, as well as its prognosis and better management. Hence, it has the …
A radiomics-based machine learning pipeline to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest
Radiomics-based machine learning classifiers have shown potential for detecting bone
metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current …
metastases (BM) and for evaluating BM response to radiotherapy (RT). However, current …