AIMC Topic: Ultrasonography, Mammary

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Ultrasound-Based Deep Learning Radiomics Nomogram for the Assessment of Lymphovascular Invasion in Invasive Breast Cancer: A Multicenter Study.

Academic radiology Apr 23, 2024
RATIONALE AND OBJECTIVES: The aim of this study was to develop a deep learning radiomics nomogram (DLRN) based on B-mode ultrasound (BMUS) and color doppler flow imaging (CDFI) images for preoperative assessment of lymphovascular invasion (LVI) statu...
Middle Aged Deep Learning Nomograms Lymphatic Metastasis Neoplasm Invasiveness Ultrasonography, Mammary Ultrasonography, Doppler, Color Aged Adult Humans Breast Neoplasms Radiomics Retrospective Studies Female
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From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery.

International journal of computer assisted radiology and surgery Apr 20, 2024
PURPOSE: Preventing positive margins is essential for ensuring favorable patient outcomes following breast-conserving surgery (BCS). Deep learning has the potential to enable this by automatically contouring the tumor and guiding resection in real ti...
Ultrasonography, Mammary Surgery, Computer-Assisted Margins of Excision Mastectomy, Segmental Female Breast Neoplasms Deep Learning Humans
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Artificial intelligence for ultrasound microflow imaging in breast cancer diagnosis.

Ultraschall in der Medizin (Stuttgart, Germany : 1980) Apr 9, 2024
PURPOSE: To develop and evaluate artificial intelligence (AI) algorithms for ultrasound (US) microflow imaging (MFI) in breast cancer diagnosis.
Middle Aged ROC Curve Ultrasonography, Mammary Breast Adult Sensitivity and Specificity Breast Neoplasms Humans Neural Networks, Computer Artificial Intelligence Algorithms Retrospective Studies Female Aged
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Assessing the Influence of B-US, CDFI, SE, and Patient Age on Predicting Molecular Subtypes in Breast Lesions Using Deep Learning Algorithms.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Apr 6, 2024
OBJECTIVES: Our study aims to investigate the impact of B-mode ultrasound (B-US) imaging, color Doppler flow imaging (CDFI), strain elastography (SE), and patient age on the prediction of molecular subtypes in breast lesions.
Humans Algorithms Ultrasonography, Doppler, Color Elasticity Imaging Techniques Breast Neoplasms Middle Aged Deep Learning Age Factors Predictive Value of Tests Ultrasonography, Mammary Breast Aged Aged, 80 and over Retrospective Studies Young Adult Female Adult Reproducibility of Results
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Artificial Intelligence and Breast US: Radiologists Won't Regret Opening Pandora's Box.

Academic radiology Apr 6, 2024
Radiologists Ultrasonography, Mammary Humans Artificial Intelligence Female Breast Neoplasms
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Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.

European radiology Apr 3, 2024
OBJECTIVES: To evaluate the use of a commercial artificial intelligence (AI)-based mammography analysis software for improving the interpretations of breast ultrasound (US)-detected lesions.
Artificial Intelligence Software Retrospective Studies Female Mammography Humans Aged Ultrasonography, Mammary Adult Breast Breast Neoplasms Image Interpretation, Computer-Assisted Middle Aged
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Classification of multi-feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks.

Medical physics Mar 4, 2024
BACKGROUND: Breast tumor is a fatal threat to the health of women. Ultrasound (US) is a common and economical method for the diagnosis of breast cancer. Breast imaging reporting and data system (BI-RADS) category 4 has the highest false-positive valu...
Humans Neural Networks, Computer Female Breast Neoplasms Ultrasonography Image Processing, Computer-Assisted Ultrasonography, Mammary
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Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Clinical breast cancer Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Breast Female Aged Adult Breast Neoplasms Nomograms Humans Middle Aged Follow-Up Studies Deep Learning Neural Networks, Computer Biopsy ROC Curve Retrospective Studies Ultrasonography, Mammary
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Artificial Intelligence for Breast Ultrasound: Expert Panel Narrative Review.

AJR. American journal of roentgenology Feb 14, 2024
Breast ultrasound is used in a wide variety of clinical scenarios, including both diagnostic and screening applications. Limitations of ultrasound, however, include its low specificity and, for automated breast ultrasound screening, the time necessar...
Female Humans Breast Neoplasms Artificial Intelligence Ultrasonography, Mammary Image Interpretation, Computer-Assisted
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Enhancing Ki-67 Prediction in Breast Cancer: Integrating Intratumoral and Peritumoral Radiomics From Automated Breast Ultrasound via Machine Learning.

Academic radiology Jan 5, 2024
RATIONALE AND OBJECTIVES: Traditional Ki-67 evaluation in breast cancer (BC) via core needle biopsy is limited by repeatability and heterogeneity. The automated breast ultrasound system (ABUS) offers reproducibility but is constrained to morphologica...
Breast Neoplasms Humans Predictive Value of Tests Radiomics Female Middle Aged Machine Learning Ultrasonography, Mammary Reproducibility of Results Image Interpretation, Computer-Assisted Retrospective Studies Aged Ki-67 Antigen Adult
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