AIMC Topic: Bone Neoplasms
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Comparison of orthogonal NLP methods for clinical phenotyping and assessment of bone scan utilization among prostate cancer patients.
Journal of biomedical informatics
Apr 20, 2019
OBJECTIVE: Clinical care guidelines recommend that newly diagnosed prostate cancer patients at high risk for metastatic spread receive a bone scan prior to treatment and that low risk patients not receive it. The objective was to develop an automated...
Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models.
PloS one
Apr 17, 2019
Pathological estimation of tumor necrosis after chemotherapy is essential for patients with osteosarcoma. This study reports the first fully automated tool to assess viable and necrotic tumor in osteosarcoma, employing advances in histopathology digi...
Predicting Ewing Sarcoma Treatment Outcome Using Infrared Spectroscopy and Machine Learning.
Molecules (Basel, Switzerland)
Mar 19, 2019
BACKGROUND: Improved outcome prediction is vital for the delivery of risk-adjusted, appropriate and effective care to paediatric patients with Ewing sarcoma-the second most common paediatric malignant bone tumour. Fourier transform infrared (FTIR) sp...
Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.
European radiology
Mar 11, 2019
OBJECTIVE: To predict the local recurrence of giant cell bone tumors (GCTB) on MR features and the clinical characteristics after curettage using a deep convolutional neural network (CNN).
Preoperative Period
Young Adult
Bone and Bones
Bone Neoplasms
Adult
Giant Cell Tumor of Bone
Neoplasm Staging
Male
Curettage
Neural Networks, Computer
Neoplasm Recurrence, Local
Middle Aged
Algorithms
Image Interpretation, Computer-Assisted
Humans
Adolescent
Prognosis
Logistic Models
Female
Follow-Up Studies
Magnetic Resonance Imaging
Automated classification of benign and malignant lesions in F-NaF PET/CT images using machine learning.
Physics in medicine and biology
Nov 20, 2018
PURPOSE: F-NaF PET/CT imaging of bone metastases is confounded by tracer uptake in benign diseases, such as osteoarthritis. The goal of this work was to develop an automated bone lesion classification algorithm to classify lesions in NaF PET/CT image...
Prediction of early metastatic disease in experimental breast cancer bone metastasis by combining PET/CT and MRI parameters to a Model-Averaged Neural Network.
Bone
Nov 13, 2018
Macrometastases in bone are preceded by bone marrow invasion of disseminated tumor cells. This study combined functional imaging parameters from FDG-PET/CT and MRI in a rat model of breast cancer bone metastases to a Model-averaged Neural Network (av...
F-FDG PET/CT-Guided Real-Time Automated Robotic Arm-Assisted Needle Navigation for Percutaneous Biopsy of Hypermetabolic Bone Lesions: Diagnostic Performance and Clinical Impact.
AJR. American journal of roentgenology
Nov 1, 2018
OBJECTIVE: The purpose of this study is to establish the feasibility, safety, diagnostic performance, and clinical impact of real-time intraprocedural F-FDG PET/CT-guided automated robotic arm-assisted biopsy of hypermetabolic marrow or bone lesions.
Robotic Patterning a Superhydrophobic Surface for Collective Cell Migration Screening.
Tissue engineering. Part C, Methods
Mar 27, 2018
Collective cell migration, in which cells migrate as a group, is fundamental in many biological and pathological processes. There is increasing interest in studying the collective cell migration in high throughput. Cell scratching, insertion blocker,...
Assessing microscope image focus quality with deep learning.
BMC bioinformatics
Mar 15, 2018
BACKGROUND: Large image datasets acquired on automated microscopes typically have some fraction of low quality, out-of-focus images, despite the use of hardware autofocus systems. Identification of these images using automated image analysis with hig...
Automated Whole-Body Bone Lesion Detection for Multiple Myeloma on Ga-Pentixafor PET/CT Imaging Using Deep Learning Methods.
Contrast media & molecular imaging
Jan 8, 2018
The identification of bone lesions is crucial in the diagnostic assessment of multiple myeloma (MM). Ga-Pentixafor PET/CT can capture the abnormal molecular expression of CXCR-4 in addition to anatomical changes. However, whole-body detection of doze...
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