Evidence map›Paper›PMID 41649681›Full record

ArticleEJNMMI physics2026

Quantitative in vivo Cherenkov luminescence imaging and dosimetry of

Campbell D Haasch, Malick Bio Idrissou, Sydney Jupitz, Aubrey Parks, Reinier Hernandez, Brian W Pogue, Bryan P Bednarz

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI physics, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Campbell D HaaschDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of WI-Madison, 1111 Highland Avenue, 7109, Madison, WI, 53705, USA.ORCID http://orcid.org/0009-0002-7128-0129
Malick Bio IdrissouDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of WI-Madison, 1111 Highland Avenue, 7109, Madison, WI, 53705, USA.ORCID http://orcid.org/0009-0001-0437-6668
Sydney JupitzDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of WI-Madison, 1111 Highland Avenue, 7109, Madison, WI, 53705, USA.ORCID http://orcid.org/0000-0001-9104-8920
Aubrey ParksDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of WI-Madison, 1111 Highland Avenue, 7109, Madison, WI, 53705, USA.ORCID http://orcid.org/0009-0000-9382-0937
Reinier HernandezDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of WI-Madison, 1111 Highland Avenue, 7109, Madison, WI, 53705, USA.ORCID http://orcid.org/0000-0002-0729-2179
Brian W PogueDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of WI-Madison, 1111 Highland Avenue, 7109, Madison, WI, 53705, USA.ORCID http://orcid.org/0000-0002-9887-670X
Bryan P BednarzDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, University of WI-Madison, 1111 Highland Avenue, 7109, Madison, WI, 53705, USA. bbednarz2@wisc.edu.ORCID http://orcid.org/0000-0002-7467-9816

Funding

NIH HHS 5P01CA250972-05
6 · The paper itself

Abstract

purposeThe rapid expansion of radiopharmaceutical therapy (RPT) development demands scalable preclinical dosimetry methods. While PET and SPECT remain the gold standards, their low throughput and high cost limit large-cohort studies. Cherenkov luminescence imaging (CLI) offers a high-throughput alternative but suffers from depth-dependent attenuation and photon scatter that compromise quantitative accuracy. This work develops and validates a quantitative CLI methodology incorporating attenuation and scatter corrections to enable accurate preclinical dosimetry.

methodsDepth-dependent attenuation was characterized using a tissue-mimicking phantom to derive calibration coefficients. Photon scatter was modeled using GEANT4-generated Cherenkov spread functions (CSFs), applied in a depth-weighted iterative Richardson-Lucy deconvolution/reconvolution framework. The method was evaluated in NU/NU mice (n = 4) bearing MC38 tumors after injection of

resultsCLI-PET activity quantification yielded mean errors of 15.4% (liver) and 10.3% (tumor) over the first three timepoints. Tumor absorbed doses from CLI-derived synthetic PET images (3.4 ± 0.3 Gy/MBq) were statistically indistinguishable from PET-based estimates (3.2 ± 0.2 Gy/MBq, p = 0.31). Discrepancies increased at late timepoints due to low activity and background auto-luminescence.

conclusionsWith appropriate depth-dependent optical attenuation calibration and Monte Carlo-derived ionizing scatter correction, CLI can provide quantitative biodistribution and dosimetry estimates comparable to PET. This approach enables high-throughput, low-cost in vivo dosimetry, expanding the feasibility of large-scale preclinical RPT studies and supporting translational radiopharmaceutical development.

Indexed as

Cherenkov luminescence imaging (CLI)Preclinical dosimetryRadiopharmaceutical therapy (RPT)

Identifiers

PMID41649681
PMCPMC13031687

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Registered trials

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