AIMC Topic: Ki-67 Antigen

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Interpretable CT Radiomics-based Machine Learning Model for Preoperative Prediction of Ki-67 Expression in Clear Cell Renal Cell Carcinoma.

Academic radiology Jan 9, 2025
RATIONALE AND OBJECTIVES: To develop and externally validate interpretable CT radiomics-based machine learning (ML) models for preoperative Ki-67 expression prediction in clear cell renal cell carcinoma (ccRCC).
Radiomics Male Middle Aged Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Female Aged Adult Kidney Neoplasms Carcinoma, Renal Cell Ki-67 Antigen Humans Machine Learning Retrospective Studies
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The value of multiparametric MRI radiomics and machine learning in predicting preoperative Ki-67 expression level in breast cancer.

BMC medical imaging Jan 7, 2025
OBJECTIVE: This study was to develop a multi-parametric MRI radiomics model to predict preoperative Ki-67 status.
Machine Learning Algorithms Retrospective Studies Female Aged Humans Middle Aged Adult Ki-67 Antigen Sensitivity and Specificity Multiparametric Magnetic Resonance Imaging Breast Neoplasms Radiomics
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Prediction of gene expression-based breast cancer proliferation scores from histopathology whole slide images using deep learning.

BMC cancer Dec 11, 2024
BACKGROUND: In breast cancer, several gene expression assays have been developed to provide a more personalised treatment. This study focuses on the prediction of two molecular proliferation signatures: an 11-gene proliferation score and the MKI67 pr...
Gene Expression Profiling Deep Learning Gene Expression Regulation, Neoplastic Cell Proliferation Ki-67 Antigen Adult Breast Neoplasms Biomarkers, Tumor Middle Aged Humans Prognosis Female Aged
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Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors.

Scientific reports Nov 26, 2024
To develop and validate a machine learning (ML) model which combined computed tomography (CT) semantic and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors (GISTs) patients. We retrospectively collected...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Semantics Female Male Gastrointestinal Stromal Tumors Aged Middle Aged Ki-67 Antigen Adult ROC Curve Radiomics Gastrointestinal Neoplasms
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Application of Artificial Intelligence in Prediction of Ki-67 Index in Meningiomas: A Systematic Review and Meta-Analysis.

World neurosurgery Nov 18, 2024
BACKGROUND: The Ki-67 index is a histopathological marker that has been reported to be a crucial factor in the biological behavior and prognosis of meningiomas. Several studies have developed artificial intelligence (AI) models to predict the Ki-67 b...
Humans Ki-67 Antigen Meningioma Artificial Intelligence Meningeal Neoplasms Biomarkers, Tumor
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Ki-67 evaluation using deep-learning model-assisted digital image analysis in breast cancer.

Histopathology Oct 31, 2024
AIMS: To test the efficacy of artificial intelligence (AI)-assisted Ki-67 digital image analysis in invasive breast carcinoma (IBC) with quantitative assessment of AI model performance.
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Biopsy, Large-Core Needle Ki-67 Antigen Female Aged Humans Aged, 80 and over Breast Neoplasms Adult Biomarkers, Tumor Middle Aged Deep Learning
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Ultrasound-based artificial intelligence model for prediction of Ki-67 proliferation index in soft tissue tumors.

Academic radiology Oct 15, 2024
RATIONALE AND OBJECTIVES: To investigate the value of deep learning (DL) combined with radiomics and clinical and imaging features in predicting the Ki-67 proliferation index of soft tissue tumors (STTs).
Humans Artificial Intelligence Retrospective Studies Female Deep Learning Ultrasonography Cell Proliferation Soft Tissue Neoplasms Ki-67 Antigen Aged Adult Male Middle Aged
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The application value of support vector machine model based on multimodal MRI in predicting IDH-1mutation and Ki-67 expression in glioma.

BMC medical imaging Sep 16, 2024
PURPOSE: To investigate the application value of support vector machine (SVM) model based on diffusion-weighted imaging (DWI), dynamic contrast-enhanced (DCE) and amide proton transfer- weighted (APTW) imaging in predicting isocitrate dehydrogenase 1...
Humans Brain Neoplasms Retrospective Studies Male Middle Aged Female ROC Curve Multimodal Imaging Aged Mutation Young Adult Glioma Isocitrate Dehydrogenase Adult Support Vector Machine Ki-67 Antigen Contrast Media Diffusion Magnetic Resonance Imaging Magnetic Resonance Imaging
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Radiomics Analysis of Intratumoral and Various Peritumoral Regions From Automated Breast Volume Scanning for Accurate Ki-67 Prediction in Breast Cancer Using Machine Learning.

Academic radiology Sep 10, 2024
RATIONALE AND OBJECTIVES: Current radiomics research primarily focuses on intratumoral regions and fixed peritumoral areas, lacking optimization for accurate Ki-67 prediction. This study aimed to develop machine learning (ML) models to analyze radiom...
Radiomics Middle Aged Tumor Burden Ki-67 Antigen Reproducibility of Results Aged Adult Breast Neoplasms Humans Machine Learning Retrospective Studies Female
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Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method.

Breast cancer research and treatment Jun 9, 2024
PURPOSE: This study aims to assess the diagnostic value of ultrasound habitat sub-region radiomics feature parameters using a fully connected neural networks (FCNN) combination method L2,1-norm in relation to breast cancer Ki-67 status.
Middle Aged Adult Humans Ultrasonography, Mammary Breast Neoplasms Deep Learning Neural Networks, Computer Ki-67 Antigen Radiomics Ultrasonography Female Biomarkers, Tumor ROC Curve Aged
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