Bone Metastases Detection

Bone metastases detection is the process of identifying cancer cells that have spread from a primary tumor to bone, an important step in staging disease and guiding treatment. Clinicians combine medical history and physical examination with imaging techniques such as bone scans, computed tomography, magnetic resonance imaging, and positron emission tomography, which reveal changes in bone structure or cancer-associated metabolic activity. When imaging findings are uncertain, a biopsy can provide tissue for microscopic and molecular confirmation. In cancer research, accurate detection helps characterize metastatic progression, assess fracture risk and pain-related complications, monitor treatment response, and support the development of therapies that target tumor growth within the bone microenvironment.

Bone Metastases Detection - Related Videos

Research

JoVE Journal - Cancer Research

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

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Cited by 5 •

2020

This protocol was designed to train a machine learning algorithm to use a combination of imaging parameters derived from magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) in a rat model of breast cancer bone metastases to detect early metastatic disease and predict subsequent progression to macrometastases.

A Preclinical Murine Model of Hepatic Metastases

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Cited by 119 •

2014

A preclinical, murine model of hepatic metastases performed via a hemispleen injection technique.

Research

JoVE Journal - Biology
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Automated Joint Space Detection Improves Bone Segmentation Accuracy

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2025

The development of an automated joint space detection workflow enabled high-throughput segmentation of distinct murine hindpaw bones with >98% accuracy in wild-type animals. Flexible application to forepaws and paws with inflammatory-erosive arthritis was achieved, but with deprecated performance that warrants further optimization in future studies using publicly available data.

Establishing Experimental Metastases Mouse Model: Implanting GFP Expressing CRC Organoid Cells in PDX Model to Detect Micrometastases

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2023

This video describes the protocol for generating metastases by the PDX derived CRC organoids labeled with GFP lentivirus into the spleen of an immunodeficient mouse. Cancer micrometastases colonizing other organs can be detected using a fluorescence microscope to assess the GFP expression.

Automated Measurement of Microcirculatory Blood Flow Velocity in Pulmonary Metastases of Rats

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Cited by 2 •

2014

A method is presented to measure microcirculatory blood flow velocity in pulmonary cancer metastases of the pleural surface in rats in an automated fashion, using closed-chest pulmonary intravital microscopy. This model has potential to be used as a widespread tool to perform physiologic research on pulmonary metastases in rodents.

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