Peritumoral Radiomics
Peritumoral Radiomics - Related Videos
10:17
Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics
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Cited by 28 •
2018
We describe IBEX, an open-source tool designed for medical imaging radiomics studies, and how to use this tool. In addition, some published works that have used IBEX for uncertainty analysis and model building are showcased.
01:27
Enhancing Drug Delivery in Recurrent Glioblastoma with Laser-Induced Hyperthermia
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2025
Begin with an anesthetized human patient diagnosed with recurrent glioblastoma, an invasive tumor characterized by tumor cell infiltration into the surrounding peritumoral region.The peritumoral region retains an intact blood-brain barrier (BBB), where tight junctions between endothelial cells restrict drug penetration.Make an incision in the scalp, create an opening in the skull, and insert a laser probe into the tumor core using MRI guidance.Deliver laser light through the probe.Tissue...
09:22
Invasive Behavior of Human Breast Cancer Cells in Embryonic Zebrafish
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Cited by 44 •
2017
Here, we describe xenograft zebrafish models using two different injection sites, i.e., perivitelline space and duct of Cuvier, to investigate the invasive behavior and to assess the intravasation and extravasation potential of human breast cancer cells, respectively.
FAQs
The tissue surrounding a lesion can contain patterns related to the cancer microenvironment, including signals associated with invasion, angiogenesis, or treatment response. Quantifying intensity, texture, shape, and spatial heterogeneity in this region adds biological context to measurements taken inside the tumor. This broader representation may improve interpretation when the visible tumor alone does not reflect relevant cancer characteristics.
The analysis depends on first segmenting the lesion and then examining a defined region around it. That region determines which surrounding tissue contributes to the measurements and therefore influences how intensity, texture, shape, and heterogeneity are interpreted. A clearly specified peritumoral area helps connect imaging patterns with biological features of the nearby microenvironment.
Tumor-only analysis focuses on features within the visible lesion, whereas peritumoral analysis adds measurements from tissue outside that boundary. This distinction matters because the surrounding region may contain imaging patterns related to invasion, angiogenesis, or response to therapy. Combining both perspectives can reveal characteristics that conventional tumor-centered interpretation may overlook.
Researchers can quantify signal intensity, texture, shape, and spatial heterogeneity from the selected region. These feature groups describe different aspects of the imaging pattern, from measured signal levels to variation across space. Applying them to tissue surrounding the lesion allows investigators to characterize the local cancer context rather than relying only on the appearance of the tumor itself.
A typical workflow begins by acquiring CT, MRI, or PET images, segmenting the lesion, defining the surrounding region, and extracting quantitative features from that area. Investigators then interpret the resulting measurements in relation to cancer characteristics or clinical outcomes. This sequence converts a visually assessed peritumoral area into data that can support systematic comparison and analysis.
These measurements can support risk stratification, diagnosis, prognosis, and prediction of therapy response. Their value comes from linking imaging patterns around a lesion with clinically relevant cancer behavior. In research studies, the features may therefore help distinguish levels of risk, characterize disease, estimate likely outcomes, or evaluate whether imaging contains information about how a tumor may respond to treatment.
CT, MRI, and PET provide imaging sources from which the lesion and its surrounding region can be evaluated. The selected modality supplies patterns for quantitative analysis, including intensity, texture, shape, and spatial heterogeneity. Using these measurements in the peritumoral context helps researchers investigate whether imaging reflects microenvironmental characteristics relevant to invasion, angiogenesis, prognosis, or treatment response.