Evidence map›Paper›PMID 41021691›Full record

ArticleTechnology in cancer research & treatment

Differentiation and Localization of Adjacent Murine Tumors Using X-ray and Bioluminescence Tomography.

Jiahao Chen, Yunwen Huang, Ning Zhao, Yi Ru, Yidong Yang

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Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiahao ChenDepartment of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, China.ORCID 0009-0004-0878-7511
Yunwen HuangThe First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China.
Ning ZhaoRaycision Medical Technology Co. Ltd, Hefei, China.
Yi RuDepartment of Pathology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Yidong YangDepartment of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionPreviously, a multimodal imaging system including x-ray computed tomography (CT) and bioluminescence tomography (BLT) has been developed on iSMAART and is capable of accurately localizing small tumors on the millimeter scale in three dimensions (3D). Here, a "2D decomposition + 3D reconstruction" strategy is proposed to recover multiple tumors that are closely spaced and may have drastically different bioluminescence intensities.MethodsIn the iSMAART system, CT provides the animal anatomy and surface contours required for BLT reconstruction. The BLT and CT are physically registered, rendering superimposed images. For BLT reconstruction, the surface bioluminescence signal is first decomposed using a Gaussian mathematical model into multiple independent signal distributions, before separate reconstruction of individual targets. The final tumor distribution is the summation of the individual reconstruction results. BLT/CT imaging was performed on two types of metastatic tumor models, PC3 prostate tumors and HCT116 colorectal tumors, with 2 mice in each model. A double-blind histopathological analysis was conducted to verify the imaging results.Results and ConclusionBy incorporating the proposed strategy, the iSMAART system accurately differentiated and localized multiple tightly clustered tumors of varying sizes and optical intensities in all mice, and four tumors in a single mouse were simultaneously diagnosed. The tumor sizes measured by BLT closely matched the histopathological results (mean value 2.76 vs 2.41 mm). In this study, we proposed a "2D decomposition + 3D reconstruction" strategy, which enables the iSMAART system to accurately localize and quantify multiple tumors in live animals despite significant signal overlap and intensity variations, providing a powerful tool to fulfill and even open up more high-demand research fields.

Indexed as

Luminescent MeasurementsMultimodal ImagingNeoplasmsTomography, X-Ray ComputedAnimalsCell Line, TumorDisease Models, AnimalHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMaleMicecancer detectioncomputed tomographymetastasis detectionmolecular imagingmultimodal imaging

Identifiers

PMID41021691
PMCPMC12480804

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.