AIMC Topic: Osteosarcoma

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Machine learning and experimental analyses identified miRNA expression models associated with metastatic osteosarcoma.

Biochimica et biophysica acta. Molecular basis of disease Jul 20, 2024
Osteosarcoma (OS), as the most common primary bone cancer, has a high invasiveness and metastatic potential, therefore, it has a poor prognosis. This study identified early diagnostic biomarkers using miRNA expression profiles associated with osteosa...
Machine Learning Female Biomarkers, Tumor Male Humans Bone Neoplasms MicroRNAs Epithelial-Mesenchymal Transition Neoplasm Metastasis Gene Expression Profiling Cell Line, Tumor Gene Expression Regulation, Neoplastic Osteosarcoma
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Machine learning survival prediction using tumor lipid metabolism genes for osteosarcoma.

Scientific reports Jun 5, 2024
Osteosarcoma is a primary malignant tumor that commonly affects children and adolescents, with a poor prognosis. The existence of tumor heterogeneity leads to different molecular subtypes and survival outcomes. Recently, lipid metabolism has been ide...
Osteosarcoma Prognosis Bone Neoplasms Female Humans Gene Expression Profiling Lipid Metabolism Biomarkers, Tumor Machine Learning Adolescent Male Child Gene Expression Regulation, Neoplastic
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A comparative analysis of CNN-based deep learning architectures for early diagnosis of bone cancer using CT images.

Scientific reports Jan 25, 2024
Bone cancer is a rare in which cells in the bone grow out of control, resulting in destroying the normal bone tissue. A benign type of bone cancer is harmless and does not spread to other body parts, whereas a malignant type can spread to other body ...
Humans Neural Networks, Computer Computers Tomography, X-Ray Computed Osteosarcoma Deep Learning Image Processing, Computer-Assisted Bone Neoplasms Early Detection of Cancer
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Fusion Radiomics-Based Prediction of Response to Neoadjuvant Chemotherapy for Osteosarcoma.

Academic radiology Dec 27, 2023
RATIONALE AND OBJECTIVES: Neoadjuvant chemotherapy (NAC) is the most crucial prognostic factor for osteosarcoma (OS), it significantly prolongs progression-free survival and improves the quality of life. This study aims to develop a deep learning rad...
Treatment Outcome Neoadjuvant Therapy Contrast Media Magnetic Resonance Imaging Adolescent Child Nomograms Osteosarcoma Bone Neoplasms Predictive Value of Tests Chemotherapy, Adjuvant Female Young Adult Adult Sensitivity and Specificity Radiomics Male Middle Aged Deep Learning Humans Retrospective Studies
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A deep learning model for accurately predicting cancer-specific survival in patients with primary bone sarcoma of the extremity: a population-based study.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico Aug 8, 2023
PURPOSE: Primary bone and joint sarcomas of the long bone are relatively rare neoplasms with poor prognosis. An efficient clinical tool that can accurately predict patient prognosis is not available. The current study aimed to use deep learning algor...
Humans Sarcoma Prognosis Nomograms Extremities Deep Learning Osteosarcoma Bone Neoplasms
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Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction.

The American journal of pathology Dec 21, 2022
Osteosarcoma is the most common primary bone cancer, whose standard treatment includes pre-operative chemotherapy followed by resection. Chemotherapy response is used for prognosis and management of patients. Necrosis is routinely assessed after chem...
Prognosis Deep Learning Osteosarcoma Bone Neoplasms Humans Necrosis
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Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.

European radiology Apr 2, 2022
OBJECTIVES: To implement a pipeline to automatically segment the ROI and to use a nomogram integrating the MRI-based radiomics score and clinical variables to predict responses to neoadjuvant chemotherapy (NAC) in osteosarcoma patients.
Humans Retrospective Studies Magnetic Resonance Imaging Deep Learning Osteosarcoma Nomograms Bone Neoplasms Neoadjuvant Therapy
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A Simulation Study to Compare the Predictive Performance of Survival Neural Networks with Cox Models for Clinical Trial Data.

Computational and mathematical methods in medicine Nov 28, 2021
BACKGROUND: Studies focusing on prediction models are widespread in medicine. There is a trend in applying machine learning (ML) by medical researchers and clinicians. Over the years, multiple ML algorithms have been adapted to censored data. However...
Male Algorithms Computational Biology Humans Osteosarcoma Clinical Trials, Phase III as Topic Bone Neoplasms Computer Simulation Neural Networks, Computer Randomized Controlled Trials as Topic Machine Learning Prognosis Data Interpretation, Statistical Female Clinical Trials as Topic Proportional Hazards Models
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Machine learning-based CT radiomics features for the prediction of pulmonary metastasis in osteosarcoma.

The British journal of radiology Jun 19, 2021
OBJECTIVE: This study aims to build machine learning-based CT radiomic features to predict patients developing metastasis after osteosarcoma diagnosis.
Adolescent Child, Preschool Child Lung Neoplasms Osteosarcoma Bone Neoplasms Young Adult Humans Predictive Value of Tests Adult Machine Learning Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Female
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Predictive model for the 5-year survival status of osteosarcoma patients based on the SEER database and XGBoost algorithm.

Scientific reports Mar 10, 2021
Osteosarcoma is the most common bone malignancy, with the highest incidence in children and adolescents. Survival rate prediction is important for improving prognosis and planning therapy. However, there is still no prediction model with a high accur...
Databases, Factual Female Survival Rate Male Humans Machine Learning Disease-Free Survival SEER Program Osteosarcoma Bone Neoplasms Predictive Value of Tests Models, Biological
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