| Autor: |
Stephanie J. Blocker, Yvonne M. Mowery, Jeffrey I. Everitt, James Cook, Gary Price Cofer, Yi Qi, Alex M. Bassil, Eric S. Xu, David G. Kirsch, Cristian T. Badea, G. Allan Johnson |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Frontiers in Oncology, Vol 14 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2234-943X |
| DOI: |
10.3389/fonc.2024.1287479 |
| Popis: |
PurposeTo identify significant relationships between quantitative cytometric tissue features and quantitative MR (qMRI) intratumorally in preclinical undifferentiated pleomorphic sarcomas (UPS).Materials and methodsIn a prospective study of genetically engineered mouse models of UPS, we registered imaging libraries consisting of matched multi-contrast in vivo MRI, three-dimensional (3D) multi-contrast high-resolution ex vivo 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 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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