Evidence map›Paper›PMID 34411639›Full record

ArticleInternational journal of radiation oncology, biology, physics2021

Quantitative Bioluminescence Tomography-Guided Conformal Irradiation for Preclinical Radiation Research.

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

Open access · hybridAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Biomedical optics express · 2024
    Article
  6. In vivo three-dimensional brain imaging with chemiluminescence probes in Alzheimer's disease models.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Quantitative molecular bioluminescence tomography.Journal of biomedical optics · 2022
    Article
  11. Article
  12. 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

7 authors at 4 institutions in 2 countries.

Xiangkun XuDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland; Biomedical Imaging and Radiation Technology Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Zijian DengDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland; Biomedical Imaging and Radiation Technology Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.
Hamid DehghaniSchool of Computer Science, University of Birmingham, Birmingham, West Midlands, United Kingdom.
Iulian IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland.
Michael LimDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland; Department of Neurosurgery, Stanford University, Stanford, California.
John W WongDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.
Ken Kang-Hsin WangDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland; Biomedical Imaging and Radiation Technology Laboratory, Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas. Electronic address: kang-hsin.wang@utsouthwestern.edu.
Johns Hopkins University · USThe University of Texas Southwestern Medical Center · USStanford University · USUniversity of Birmingham · GB

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

purposeWidely used cone beam computed tomography (CBCT)-guided irradiators in preclinical radiation research are limited to localize soft tissue target because of low imaging contrast. Knowledge of target volume is a fundamental need for radiation therapy (RT). Without such information to guide radiation, normal tissue can be overirradiated, introducing experimental uncertainties. This led us to develop high-contrast quantitative bioluminescence tomography (QBLT) for guidance. The use of a 3-dimensional bioluminescence signal, related to cell viability, for preclinical radiation research is one step toward biology-guided RT. METHODS AND MATERIALS: Our QBLT system enables multiprojection and multispectral bioluminescence imaging to maximize input data for the tomographic reconstruction. Accurate quantification of spectrum and dynamic change of in vivo signal were also accounted for the QBLT. A spectral-derivative method was implemented to eliminate the modeling of the light propagation from animal surface to detector. We demonstrated the QBLT capability of guiding conformal RT using a bioluminescent glioblastoma (GBM) model in vivo. A threshold was determined to delineate QBLT reconstructed gross target volume (GTV

resultsThe QBLT can reconstruct in vivo GBM with localization accuracy within 1 mm. A 0.5-mm margin was determined and added to GTV

conclusionsThe QBLT provides a unique opportunity for investigators to use biologic information for target delineation, guiding conformal irradiation, and reducing normal tissue involvement, which is expected to increase reproducibility of scientific discovery.

Indexed as

Radiotherapy, ConformalAnimalsCone-Beam Computed TomographyGlioblastomaRadiotherapy Planning, Computer-AssistedReproducibility of ResultsTomography

Identifiers

PMID34411639
PMCPMC8602741
OpenAlexW3195464559

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.