AIMC Topic: Osteosarcoma

Clear Filters Showing 11 to 20 of 40 articles

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 ...
Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Computers Tomography, X-Ray Computed Early Detection of Cancer Osteosarcoma Bone Neoplasms
View on PubMed DOI

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...
Osteosarcoma Bone Neoplasms Predictive Value of Tests Sensitivity and Specificity Chemotherapy, Adjuvant Radiomics Retrospective Studies Treatment Outcome Male Female Middle Aged Neoadjuvant Therapy Young Adult Humans Deep Learning Contrast Media Adolescent Adult Magnetic Resonance Imaging Child Nomograms
View on PubMed DOI

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...
Prognosis Deep Learning Nomograms Osteosarcoma Humans Bone Neoplasms Sarcoma Extremities
View on PubMed DOI

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...
Humans Prognosis Deep Learning Osteosarcoma Bone Neoplasms Necrosis
View on PubMed DOI

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.
Bone Neoplasms Nomograms Neoadjuvant Therapy Magnetic Resonance Imaging Osteosarcoma Humans Retrospective Studies Deep Learning
View on PubMed DOI

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...
Female Male Computational Biology Osteosarcoma Bone Neoplasms Randomized Controlled Trials as Topic Data Interpretation, Statistical Clinical Trials as Topic Machine Learning Proportional Hazards Models Algorithms Humans Clinical Trials, Phase III as Topic Computer Simulation Neural Networks, Computer Prognosis
View on PubMed DOI

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.
Child Lung Neoplasms Osteosarcoma Bone Neoplasms Predictive Value of Tests Male Humans Middle Aged Machine Learning Tomography, X-Ray Computed Adolescent Retrospective Studies Female Child, Preschool Young Adult Adult
View on PubMed DOI

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...
Osteosarcoma Bone Neoplasms Predictive Value of Tests Models, Biological Databases, Factual Humans Disease-Free Survival Female SEER Program Machine Learning Survival Rate Male
View on PubMed DOI

Image based cellular contractile force evaluation with small-world network inspired CNN: SW-UNet.

Biochemical and biophysical research communications Jul 7, 2020
We propose an image based cellular contractile force evaluation method using a machine learning technique. We use a special substrate that exhibits wrinkles when cells grab the substrate and contract, and the wrinkles can be used to visualize the for...
Humans Neural Networks, Computer Microscopy Image Processing, Computer-Assisted Machine Learning Osteosarcoma Proto-Oncogene Proteins p21(ras) Algorithms Bone Neoplasms Biomechanical Phenomena Mutation Cell Line, Tumor
View on PubMed DOI

[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...
Analysis of Variance Chemotherapy, Adjuvant Infant Osteosarcoma Bone Neoplasms Adolescent Antineoplastic Combined Chemotherapy Protocols Humans Infant, Newborn Predictive Value of Tests Child, Preschool Machine Learning Young Adult Treatment Outcome France Child Retrospective Studies Neoadjuvant Therapy Sensitivity and Specificity Female Magnetic Resonance Imaging Male
View on PubMed DOI
Popular Topics
Recent Journals