AIMC Topic: Bone Neoplasms

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Machine Learning-Assisted Decision Making in Orthopaedic Oncology.

JBJS reviews Jul 11, 2024
ยป Artificial intelligence is an umbrella term for computational calculations that are designed to mimic human intelligence and problem-solving capabilities, although in the future, this may become an incomplete definition. Machine learning (ML) encom...
Clinical Decision-Making Humans Medical Oncology Bone Neoplasms Machine Learning Orthopedics
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Integrated machine learning algorithms reveal a bone metastasis-related signature of circulating tumor cells in prostate cancer.

Scientific data Jun 27, 2024
Bone metastasis is an essential factor affecting the prognosis of prostate cancer (PCa), and circulating tumor cells (CTCs) are closely related to distant tumor metastasis. Here, the protein-protein interaction (PPI) networks and Cytoscape applicatio...
Humans Machine Learning Prostatic Neoplasms Biomarkers, Tumor Algorithms Neoplastic Cells, Circulating Protein Interaction Maps Prognosis Bone Neoplasms Tumor Microenvironment
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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...
Child Gene Expression Regulation, Neoplastic Osteosarcoma Bone Neoplasms Humans Male Female Gene Expression Profiling Biomarkers, Tumor Adolescent Machine Learning Lipid Metabolism Prognosis
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Development and Validation of a Machine Learning Model for Bone Metastasis in Prostate Cancer: Based on Inflammatory and Nutritional Indicators.

Urology May 31, 2024
OBJECTIVE: To establish a predictive model for prostate cancer bone metastasis utilizing multiple machine learning algorithms.
Humans Machine Learning Middle Aged Decision Trees Bone Neoplasms Retrospective Studies Prostatic Neoplasms Aged Male
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CT-based radiomics analysis of different machine learning models for differentiating gnathic fibrous dysplasia and ossifying fibroma.

Oral diseases May 30, 2024
OBJECTIVE: In this study, our aim was to develop and validate the effectiveness of diverse radiomic models for distinguishing between gnathic fibrous dysplasia (FD) and ossifying fibroma (OF) before surgery.
Diagnosis, Differential Fibroma, Ossifying Child ROC Curve Bone Neoplasms Male Middle Aged Adolescent Humans Machine Learning Tomography, X-Ray Computed Female Adult Young Adult Radiomics
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A radiograph-based deep learning model improves radiologists' performance for classification of histological types of primary bone tumors: A multicenter study.

European journal of radiology May 7, 2024
PURPOSE: To develop a deep learning (DL) model for classifying histological types of primary bone tumors (PBTs) using radiographs and evaluate its clinical utility in assisting radiologists.
Male Middle Aged Deep Learning Young Adult Adult Sensitivity and Specificity Bone Neoplasms Radiologists Adolescent Child, Preschool Child Humans Reproducibility of Results Aged Retrospective Studies Female
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Automatic Skeleton Segmentation in CT Images Based on U-Net.

Journal of imaging informatics in medicine Apr 30, 2024
Bone metastasis, emerging oncological therapies, and osteoporosis represent some of the distinct clinical contexts which can result in morphological alterations in bone structure. The visual assessment of these changes through anatomical images is co...
Bone Neoplasms Female Humans Deep Learning Bone and Bones Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed
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Advancing musculoskeletal tumor diagnosis: Automated segmentation and predictive classification using deep learning and radiomics.

Computers in biology and medicine Apr 22, 2024
OBJECTIVES: Musculoskeletal (MSK) tumors, given their high mortality rate and heterogeneity, necessitate precise examination and diagnosis to guide clinical treatment effectively. Magnetic resonance imaging (MRI) is pivotal in detecting MSK tumors, a...
Deep Learning Magnetic Resonance Imaging Bone Neoplasms Image Interpretation, Computer-Assisted Muscle Neoplasms Radiomics Male Middle Aged Female Aged Adult Humans Algorithms
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Verification of image quality improvement of low-count bone scintigraphy using deep learning.

Radiological physics and technology Feb 10, 2024
To improve image quality for low-count bone scintigraphy using deep learning and evaluate their clinical applicability. Six hundred patients (training, 500; validation, 50; evaluation, 50) were included in this study. Low-count original images (75%, ...
Bone Neoplasms Humans Deep Learning Quality Improvement Image Processing, Computer-Assisted Radionuclide Imaging
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Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.

Journal of cancer research and clinical oncology Feb 5, 2024
PURPOSE: Bone metastasis is a significant contributor to morbidity and mortality in advanced prostate cancer, and early diagnosis is challenging due to its insidious onset. The use of machine learning to obtain prognostic information from pathologica...
Bone Neoplasms Humans Algorithms Prostatic Neoplasms Deep Learning Retrospective Studies Radiomics Magnetic Resonance Imaging Male
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