MR histology reveals tissue features beneath heterogeneous MRI signal in genetically engineered mouse models of sarcoma

To identify significant relationships between quantitative cytometric tissue features and quantitative MR (qMRI) intratumorally in preclinical undifferentiated pleomorphic sarcomas (UPS). In a prospective study of genetically engineered mouse models of UPS, we registered imaging libraries consisting...

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Bibliographic Details
Published in:Frontiers in oncology 2024-05, Vol.14, p.1287479-1287479
Main Authors: Blocker, Stephanie J, Mowery, Yvonne M, Everitt, Jeffrey I, Cook, James, Cofer, Gary Price, Qi, Yi, Bassil, Alex M, Xu, Eric S, Kirsch, David G, Badea, Cristian T, Johnson, G Allan
Format: Article
Language:English
Subjects:
histology
image registration
MRI
multi-modal
Oncology
preclinical
sarcoma
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Summary:To identify significant relationships between quantitative cytometric tissue features and quantitative MR (qMRI) intratumorally in preclinical undifferentiated pleomorphic sarcomas (UPS). In a prospective study of genetically engineered mouse models of UPS, we registered imaging libraries consisting of matched multi-contrast MRI, three-dimensional (3D) multi-contrast high-resolution MR histology (MRH), and two-dimensional (2D) tissue slides. From digitized histology we generated quantitative cytometric feature maps from whole-slide automated nuclear segmentation. We automatically segmented intratumoral regions of distinct qMRI values and measured corresponding cytometric features. Linear regression analysis was performed to compare intratumoral qMRI and tissue cytometric features, and results were corrected for multiple comparisons. Linear correlations between qMRI and cytometric features with p values of
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2024.1287479