Lesion Quantification
Lesion Quantification - Related Videos
09:22
Sectioning Mammary Gland Whole Mounts for Lesion Identification
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Cited by 13 •
2017
We developed a method to successfully remove, process, section, and stain, for histopathological evaluation, mammary tissue that had originally been fixed on slides as whole mounts. This method may promote the collection and evaluation of mammary gland whole mounts in reproductive and developmental test guideline studies.
08:16
Comparative Lesions Analysis Through a Targeted Sequencing Approach
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2019
This article describes a method to identify clonal and subclonal alterations among different specimens from a given patient. Although the experiments described here focus on a specific tumor type, the approach is broadly applicable to other solid tumors.
11:45
Generation and 3-Dimensional Quantitation of Arterial Lesions in Mice Using Optical Projection Tomography
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Cited by 5 •
2015
Ex vivo analysis of arterial lesions from animal models of cardiovascular disease classically relies on histological and immunohistochemical techniques. These provide 2-dimensional measurements in 3-dimensional lesions. This manuscript describes the generation of arterial lesions for quantitative analysis in 3-dimensions using optical projection tomography.
03:00
Measuring Drug Binding to Caseum from Tuberculosis Lesions via the Rapid Equilibrium Dialysis Method
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2025
Source: Sarathy, J. P. et al. An In Vitro Caseum Binding Assay that Predicts Drug Penetration in Tuberculosis Lesions. J. Vis. Exp. (2017)This video demonstrates an in vitro assay for measuring drug binding to caseum from tuberculosis lesions using rapid equilibrium dialysis. It outlines the steps for preparing caseum suspensions, performing dialysis, and calculating the unbound drug fraction to predict drug penetration into caseum.
05:51
A Human Ex Vivo Atherosclerotic Plaque Model to Study Lesion Biology
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Cited by 13 •
2014
Atherosclerosis is a chronic inflammatory process. This manuscript illustrates an easy to use ex vivo model to investigate fresh carotid or coronary artery plaques. The ex vivo model allows for the investigation of potential substances on the inflammatory milieu in human atherosclerotic lesions and results can be analyzed by various methods.
FAQs
These measurements describe different dimensions of abnormal tissue involvement. Counting findings indicates multiplicity, while size and volume capture spatial extent. Distribution adds information about where lesions occur within the examined anatomy. Considering these measures together can provide a more complete picture of disease burden than relying on a single measurement, supporting comparisons between examinations.
Segmentation separates the lesion from surrounding tissue so its boundaries can be measured. The resulting region determines calculations such as size, volume, distribution, and some intensity-based values. Consistent segmentation is therefore important for reliable comparisons. When standardized imaging protocols are used alongside this step, measurements are more consistent across examinations and clinical research assessments.
Geometric measurements describe lesion form and extent through attributes such as size or volume. Intensity-based measurements add information derived from image signal or appearance within the identified lesion. Using both approaches can characterize findings more fully than geometry alone, particularly when quantitative results are intended to support disease characterization, comparison, or assessment of change.
Quantification converts imaging findings into measurements that can be compared across examinations or evaluated in research analyses. This objective approach may reveal changes that are difficult to judge consistently by visual inspection, including differences in lesion extent or burden. The resulting data can strengthen assessment of disease status and help document changes during monitoring.
A typical workflow begins with image acquisition, followed by identification of the relevant lesions. The findings are then segmented so their boundaries or regions can be analyzed, and geometric or intensity-based measurements are calculated. Applying standardized protocols throughout acquisition and analysis improves consistency, making the results more suitable for comparison between examinations or study groups.
Quantitative findings can add objective evidence when clinicians characterize disease burden, determine its extent, or compare the amount and distribution of abnormal tissue. In this context, measurements may support diagnosis, staging, and treatment planning by supplementing image interpretation. Their value comes from providing structured data that can be examined alongside other clinical information.
Repeated quantitative assessments can document changes in lesion number, size, volume, distribution, or image intensity over time. Comparing examinations helps evaluate whether disease burden changes during treatment, providing information that may be less apparent through visual review alone. This application is relevant to oncology, radiology, and neurology, as well as clinical research evaluating outcomes.