Evidence map›Paper›PMID 34837208›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Quantitative Bioluminescence Tomography for In Vivo Volumetric-Guided Radiotherapy.

Zijian Deng, Xiangkun Xu, Hamid Dehghani, Daniel M Sforza, Iulian Iordachita, Michael Lim, John W Wong, Ken Kang-Hsin Wang

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Quantitative molecular bioluminescence tomography.Journal of biomedical optics · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Zijian DengDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA.
Xiangkun XuDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA.
Hamid DehghaniSchool of Computer Science, University of Birmingham, Birmingham, UK.
Daniel M SforzaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA.
Iulian IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Michael LimDepartment of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA.
John W WongDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA.
Ken Kang-Hsin WangDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, USA. Kang-Hsin.Wang@UTSouthwestern.edu.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
X-ray/optical tomographic guidance and assessment for pre-clinical radiation ResearchR37CA230341 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, KEN KANG-HSIN · 2019 to 2025
$2.2M
Quantitative bioluminescence tomography for pre-clinical radiotherapy researchR01CA240811 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, KEN KANG-HSIN · 2019 to 2023
$1.3M
A pre-clinical x-ray/optical tomography-guided radiation research platform for pancreatic cancerR21CA223403 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI WANG, KEN KANG-HSIN · 2018 to 2019
$386k
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA240811NCI NIH HHS R21 CA223403NCI NIH HHS R37 CA230341
6 · The paper itself

Abstract

Several groups, including ours, have initiated efforts to develop small-animal irradiators that mimic radiation therapy (RT) for human treatment. The major image modality used to guide irradiation is cone-beam computed tomography (CBCT). While CBCT provides excellent guidance capability, it is less adept at localizing soft tissue targets growing in a low image contrast environment. In contrast, bioluminescence imaging (BLI) provides strong image contrast and thus is an attractive solution for soft tissue targeting. However, commonly used 2D BLI on an animal surface is inadequate to guide irradiation, because optical transport from an internal bioluminescent tumor is highly susceptible to the effects of optical path length and tissue absorption and scattering. Recognition of these limitations led us to integrate 3D bioluminescence tomography (BLT) with the small animal radiation research platform (SARRP). In this chapter, we introduce quantitative BLT (QBLT) with the advanced capabilities of quantifying tumor volume for irradiation guidance. The detail of system components, calibration protocol, and step-by-step procedure to conduct the QBLT-guided irradiation are described.

Indexed as

TomographyAnimalsCone-Beam Computed TomographyHumansLuminescent MeasurementsPhantoms, ImagingRadiotherapy, Image-GuidedBioluminescence tomographyImage-guided radiation therapySmall animal irradiation

Identifiers

PMID34837208
PMCPMC9098109

What OpenQuestion holds

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Registered trials

None linked

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.