Image-guided Tumor Management
Image-guided Tumor Management - Related Videos
14:04
Viral Nanoparticles for In vivo Tumor Imaging
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Cited by 45 •
2012
Plant viral nanoparticles (VNPs) are promising platforms for applications in biomedicine. Here, we describe the procedures for plant VNP propagation, purification, characterization, and bioconjugation. Finally, we show the application of VNPs for tumor homing and imaging using a mouse xenograft model and fluorescence imaging.
09:18
Multianimal Magnetic Resonance Imaging for Tumor Measurements in Pancreatic Cancer Mouse Models
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2026
This protocol uses a multichamber bed for parallel magnetic resonance imaging (MRI) of up to four animals to detect pancreatic adenocarcinoma tumors in genetically engineered mouse models. This multianimal MRI protocol is fast and cost-effective for detecting and measuring tumors, facilitating animal selection for preclinical studies and longitudinal monitoring of tumor growth.
12:09
A Novel High-resolution In vivo Imaging Technique to Study the Dynamic Response of Intracranial Structures to Tumor Growth and Therapeutics
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Cited by 14 •
2013
We describe a novel in vivo imaging technique that couples fluorescent chimeric mice with intracranial windows and high-resolution 2-photon microscopy. This imaging platform aids studies of dynamic changes in brain tissue and microvasculature, at a single-cell level, following pathological insults and is adaptable to assess intracranial drug delivery and distribution.
04:37
Sampling Prostate Cancer Tissue for Biobanking: An MRI-guided Targeted Technique to Remove Biopsy Punches from Fresh Tumor Tissue
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2023
This video demonstrates an MRI data-based technique to target specific tumor-containing regions in prostate tissue for sampling. The collected biopsy specimens can be either stored for biobanking purposes or used for subsequent downstream analysis.
09:04
In Vivo Optical Imaging of Brain Tumors and Arthritis Using Fluorescent SapC-DOPS Nanovesicles
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Cited by 13 •
2014
We describe a multi-angle rotational optical imaging (MAROI) system for in vivo quantitation of a fluorescent marker delivered by saposin C (SapC)-dioleoylphosphatidylserine (DOPS) nanovesicles. Employing mouse models of cancer and arthritis, we demonstrate how the MAROI signal curve analysis can be used for the precise mapping and biological characterization of disease processes.
FAQs
Ultrasound, computed tomography, and magnetic resonance imaging primarily supply anatomical information, while positron emission tomography adds functional information. This distinction helps clinicians choose images that show location and structure or provide information about tumor activity. Combining these perspectives can support more informed characterization and treatment planning when anatomy alone is insufficient.
Real-time imaging supports decisions during an intervention, whereas repeated imaging compares findings across treatment stages. Immediate feedback can help clinicians maintain the intended target and limit exposure to nearby healthy structures. Later examinations show whether the tumor is responding, extending image guidance beyond a single procedure to ongoing management.
Precision becomes especially important when tumor boundaries are difficult to identify or the lesion is difficult to access. Imaging can provide the localization and characterization needed to plan a route or treatment target. By continuously or repeatedly referencing those images, clinicians can pursue local treatment while reducing unnecessary effects on adjacent structures.
An imaging-supported workflow may begin by locating and characterizing the tumor, then use those findings for biopsy, treatment planning, surgical navigation, radiation delivery, or a minimally invasive procedure. Imaging obtained during treatment helps guide the selected target, while follow-up images assess response. The sequence can connect diagnosis, intervention, and evaluation.
It can support tissue sampling through image-guided biopsy, direct navigation during surgery, and guide radiation delivery toward a defined target. It also assists minimally invasive local therapies, particularly when access is challenging. These uses share a common goal: translating anatomical or functional image information into more accurate procedural decisions rather than relying on visualization alone.
Follow-up imaging provides evidence about tumor response over time, complementing information gathered during the original intervention. Repeated examinations can show whether the treated tumor is changing and can inform subsequent management. In medicine, this supports a more individualized approach by linking treatment decisions to observed imaging findings rather than to a fixed plan alone.