AIMC Topic: Bone Neoplasms
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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
May 22, 2020
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 ...
Humans
Machine Learning
Algorithms
Prognosis
Steroids
Time Factors
Pelvic Bones
Bone Neoplasms
Female
Reproducibility of Results
Male
Middle Aged
Karnofsky Performance Status
Spinal Neoplasms
Area Under Curve
Proportional Hazards Models
Analgesics, Opioid
Kaplan-Meier Estimate
Palliative Care
Life Expectancy
Blood Cell Count
Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images.
International journal of computer assisted radiology and surgery
May 12, 2020
PURPOSE: Precise localization of cystic bone lesions is crucial for osteolytic bone tumor surgery. Recently, there is a move toward ultrasound imaging over plain radiographs (X-rays) for intra-operative navigation due to the radiation-free and cost-e...
MRI radiomics-based machine-learning classification of bone chondrosarcoma.
European journal of radiology
May 7, 2020
PURPOSE: To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI).
Pattern Recognition in Musculoskeletal Imaging Using Artificial Intelligence.
Seminars in musculoskeletal radiology
Jan 28, 2020
Artificial intelligence (AI) has the potential to affect every step of the radiology workflow, but the AI application that has received the most press in recent years is image interpretation, with numerous articles describing how AI can help detect a...
[Prediction of chemotherapy response in primary osteosarcoma using the machine learning technique on radiomic data].
Bulletin du cancer
Oct 3, 2019
INTRODUCTION: Osteosarcoma is the most common malignant bone tumor before 25 years of age. Response to neoadjuvant chemotherapy determines continuation of treatment and is also a powerful prognostic factor. There are currently no reliable ways to eva...
Predictive Value of Tests
France
Analysis of Variance
Chemotherapy, Adjuvant
Neoadjuvant Therapy
Magnetic Resonance Imaging
Osteosarcoma
Bone Neoplasms
Child
Antineoplastic Combined Chemotherapy Protocols
Treatment Outcome
Female
Infant, Newborn
Young Adult
Sensitivity and Specificity
Humans
Male
Machine Learning
Infant
Retrospective Studies
Adolescent
Child, Preschool
Denoising of Scintillation Camera Images Using a Deep Convolutional Neural Network: A Monte Carlo Simulation Approach.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Jul 19, 2019
Scintillation camera images contain a large amount of Poisson noise. We have investigated whether noise can be removed in whole-body bone scans using convolutional neural networks (CNNs) trained with sets of noisy and noiseless images obtained by Mon...
Fully automated analysis for bone scintigraphy with artificial neural network: usefulness of bone scan index (BSI) in breast cancer.
Annals of nuclear medicine
Jul 17, 2019
OBJECTIVE: Artificial neural network (ANN) technology has been developed for clinical use to analyze bone scintigraphy with metastatic bone tumors. It has been reported to improve diagnostic accuracy and reproducibility especially in cases of prostat...
Machine learning for differentiating metastatic and completely responded sclerotic bone lesion in prostate cancer: a retrospective radiomics study.
The British journal of radiology
Jul 10, 2019
OBJECTIVE: Using CT texture analysis and machine learning methods, this study aims to distinguish the lesions imaged via 68Ga-prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/CT as metastatic and completely responded in pa...
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11.
European urology oncology
Jun 8, 2019
BACKGROUND: Owing to the large variation in treatment response among patients with high-risk prostate cancer, it would be of value to use objective tools to monitor the status of bone metastases during clinical trials. Automated Bone Scan Index (aBSI...
Screening of disorders associated with osteosarcoma by integrated network analysis.
Bioscience reports
May 21, 2019
Osteosarcoma is a common malignant bone tumor in children and adolescents under the age of 20. However, research on the pathogenesis and treatment of osteosarcoma is still insufficient. In the present study, based on gene-phenotype correlation networ...
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