Tumor Tracking Capabilities
Tumor Tracking Capabilities - Related Videos
09:00
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
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Cited by 18 •
2016
The capability to localize an odor source is necessary for insect survival and is expected to be applicable to artificial odor-tracking. The insect-controlled robot is driven by an actual silkmoth and enables us to evaluate the odor-tracking capability of insects through a robotic platform.
06:26
PTM Based Tumor Microenvironment Monitoring: A Method for Tracking Changes in ECM Rigidity Using Tumor Spheroids
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2023
This protocol describes a technique for monitoring extracellular matrix rigidity changes by using particle-tracking microrheology (PTM). This is done by culturing 3D pancreatic tumor spheroids into ECM with embedded fluorescent probes for video particle-tracking and analysis.
08:17
Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
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Cited by 9 •
2015
Stereotactic ablative body radiation therapy (SBRT) involves the precise delivery of high-dose radiation to cancer tumor targets. A novel SBRT platform offers a first-of-its-kind gimbaled radiation accelerator mounted within a pivoting O-ring gantry capable of dynamic image-guided tumor tracking. Here, we describe dynamic tumor tracking for lung targets.
02:44
An In Vivo Technique to Track Bispecific Antibody-Induced T Cell Trafficking to Tumors
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2025
This video demonstrates a method for tracking bispecific antibody-induced T cell trafficking to tumors in a mouse model. Luciferase-transduced effector T cells are injected into a mouse with a subcutaneous tumor cell xenograft. Bispecific antibodies are then introduced, binding to T cells and the tumor cells. The localization of the T cells is tracked using bioluminescent imaging, with the magnitude of the signal indicating the extent of T cell infiltration into the tumor.
05:23
Tracking Tumor Cell Dissemination from Lung Metastases Using Photoconversion
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2023
We present a method for studying tumor cell redissemination from lung metastases involving a surgical protocol for the selective photoconversion of lung metastases, followed by the identification of redisseminated tumor cells in tertiary organs.
FAQs
Motion is addressed by comparing the tumor’s position across images and using image registration to align those studies. When the tumor itself is difficult to identify consistently, fiducial markers or visible anatomical landmarks can provide reference points. This tracking helps distinguish changes in apparent location caused by motion from changes that may affect treatment targeting.
Image registration provides the matching step between scans. By aligning serial images, it helps clinicians compare where the tumor is located at different times and recognize positional differences that could affect treatment decisions. This is particularly relevant when anatomy changes or movement makes direct visual comparison unreliable.
Fiducial markers and visible anatomical landmarks serve as reference points when the tumor is not equally clear in every image. Markers can support localization, while landmarks provide an observable anatomic basis for matching scans. The choice matters because consistent references improve the ability to follow position across imaging studies.
A typical workflow uses serial images to establish the tumor’s location at multiple time points. Clinicians then use image registration to match those images, relying on the tumor, fiducial markers, or visible anatomical landmarks as references. Reviewing the matched studies supports decisions about localization, planning, guidance, or response assessment.
These capabilities support several clinical uses: image-guided radiation therapy, treatment planning, biopsy guidance, and assessment of therapeutic response. Their value differs by task, but each application depends on locating the tumor accurately enough to guide a decision. They therefore connect imaging information with targeting, sampling, or evaluation of treatment effects.
Tracking can reveal that tumor position or patient anatomy has changed over time. That information allows clinicians to consider care against updated anatomy rather than relying only on an earlier scan. In radiation treatment and other image-guided decisions, more accurate localization can help target the tumor while limiting exposure to nearby healthy tissue.