Evidence map›Paper›PMID 26876954›Full record

ArticleInternational journal of radiation oncology, biology, physics2016

Bioluminescence Tomography-Guided Radiation Therapy for Preclinical Research.

Bin Zhang, Ken Kang-Hsin Wang, Jingjing Yu, Sohrab Eslami, Iulian Iordachita, Juvenal Reyes, Reem Malek, Phuoc T Tran, Michael S Patterson, John W Wong

Abstract readComparative Study
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Biomedical optics express · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Quantitative molecular bioluminescence tomography.Journal of biomedical optics · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. In Vivo Bioluminescence Tomography Center of Mass-Guided Conformal Irradiation.International journal of radiation oncology, biology, physics · 2020
    Article
  15. Article
  16. Technical feasibility of [Radiation oncology (London, England) · 2019
    Article
  17. Article
  18. Review
  19. Review
  20. 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

10 authors.

Bin ZhangDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland.
Ken Kang-Hsin WangDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland. Electronic address: kwang27@jhmi.edu.
Jingjing YuDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland; School of Physics and Information Technology, Shaanxi Normal University, Shaanxi, China.
Sohrab EslamiLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland.
Iulian IordachitaLaboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, Maryland.
Juvenal ReyesDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland.
Reem MalekDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland.
Phuoc T TranDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland; Department of Oncology and Urology, Brady Urological Institute, Johns Hopkins University, Baltimore, Maryland.
Michael S PattersonDepartment of Medical Physics and Applied Radiation Sciences, McMaster University, Hamilton, Ontario, Canada.
John W WongDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland.

Funding

Structure-Functions Studies of Twist1-induced Radioresistance in Lung CancerR01CA166348 · NCI · JOHNS HOPKINS UNIVERSITY · PI TRAN, PHUOC T. · 2013 to 2017
$1.7M
An integrated x-ray/optical tomography system for preclinical radiation researchR01CA158100 · NCI · JOHNS HOPKINS UNIVERSITY · PI WONG, JOHN W · 2011 to 2013
$1.6M
NCI NIH HHS R01 CA158100NCI NIH HHS R01CA158100NCI NIH HHS R01 CA166348
6 · The paper itself

Abstract

purposeIn preclinical radiation research, it is challenging to localize soft tissue targets based on cone beam computed tomography (CBCT) guidance. As a more effective method to localize soft tissue targets, we developed an online bioluminescence tomography (BLT) system for small-animal radiation research platform (SARRP). We demonstrated BLT-guided radiation therapy and validated targeting accuracy based on a newly developed reconstruction algorithm. METHODS AND MATERIALS: The BLT system was designed to dock with the SARRP for image acquisition and to be detached before radiation delivery. A 3-mirror system was devised to reflect the bioluminescence emitted from the subject to a stationary charge-coupled device (CCD) camera. Multispectral BLT and the incomplete variables truncated conjugate gradient method with a permissible region shrinking strategy were used as the optimization scheme to reconstruct bioluminescent source distributions. To validate BLT targeting accuracy, a small cylindrical light source with high CBCT contrast was placed in a phantom and also in the abdomen of a mouse carcass. The center of mass (CoM) of the source was recovered from BLT and used to guide radiation delivery. The accuracy of the BLT-guided targeting was validated with films and compared with the CBCT-guided delivery. In vivo experiments were conducted to demonstrate BLT localization capability for various source geometries.

resultsOnline BLT was able to recover the CoM of the embedded light source with an average accuracy of 1 mm compared to that with CBCT localization. Differences between BLT- and CBCT-guided irradiation shown on the films were consistent with the source localization revealed in the BLT and CBCT images. In vivo results demonstrated that our BLT system could potentially be applied for multiple targets and tumors.

conclusionsThe online BLT/CBCT/SARRP system provides an effective solution for soft tissue targeting, particularly for small, nonpalpable, or orthotopic tumor models.

Indexed as

Cone-Beam Computed TomographyAlgorithmsAnimalsConnective TissueDisease Models, AnimalEquipment DesignFeasibility StudiesLuminescenceLuminescent MeasurementsMicePhantoms, ImagingRadiotherapy, Image-Guided

Identifiers

PMID26876954
PMCPMC4814325

What OpenQuestion holds

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LicenceTDM
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.