Evidence map›Paper›PMID 29097926›Full record

ReviewContrast media & molecular imaging2017

Advanced Functional Tumor Imaging and Precision Nuclear Medicine Enabled by Digital PET Technologies.

Chadwick L Wright, Katherine Binzel, Jun Zhang, Michael V Knopp

Abstract readReview
In one paragraph

Review in Contrast media & molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. [Frontiers in medicine · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Location detection of key areas in medical images based on Haar-like fusion contour feature learning.Technology and health care : official journal of the European Society for Engineering and Medicine · 2020
    Article
  12. Article
  13. Article
  14. Comparison of image quality and lesion detection between digital and analog PET/CT.European journal of nuclear medicine and molecular imaging · 2019
    Article
  15. The renaissance of functionalEuropean journal of nuclear medicine and molecular imaging · 2018
    Article
  16. Article
  17. Review
  18. Optimizing Low-Dose [18F]FDG-PET/CT Scans: Ensuring Quality Amid Radiotracer Availability Challenges - Insights from a Peripheral Tertiary Care Center.Indian journal of nuclear medicine : IJNM : the official journal of the Society of Nuclear Medicine, India
    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

4 authors.

Chadwick L WrightWright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Rm. 430, Columbus, OH 43210, USA.ORCID 0000-0003-0117-9420
Katherine BinzelWright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Rm. 430, Columbus, OH 43210, USA.ORCID 0000-0001-9439-3367
Jun ZhangWright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Rm. 430, Columbus, OH 43210, USA.ORCID 0000-0002-6515-601X
Michael V KnoppWright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, 395 W. 12th Avenue, Rm. 430, Columbus, OH 43210, USA.ORCID 0000-0001-9543-2962

Funding

IROC: Enhancing local enrolling site radiological data capture capabilities for NCTN trialsU24CA180803 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI Thomas J. FitzGerald, MICHAEL V KNOPP · 2014 to 2026
$116.2M
Validating Low FDG Dose PET/CT compared to current Standard of Care Dose PET/CTR01CA195513 · NCI · OHIO STATE UNIVERSITY · PI KNOPP, MICHAEL V, ZHANG, JUN · 2015 to 2016
$705k
HSRD VA SDR 10-012NCI NIH HHS R01 CA195513NCI NIH HHS U24 CA180803
6 · The paper itself

Abstract

The purpose of this article is to provide a brief overview of the background, basic principles, technological evolution, clinical capabilities, and future directions for functional tumor imaging as PET evolves from the conventional photomultiplier tube-based platform into a fully digital detector acquisition platform. The recent introduction of solid-state digital photon counting PET detector is the latest evolution of clinical PET which enables faster time-of-flight timing resolution that leads to more precise localization of the annihilation events and further contributes to reduction in partial volume and thus makes high definition and ultrahigh definition PET imaging feasible with current standard acquisition procedures. The technological advances of digital PET can be further leveraged by optimizing many of the acquisition and reconstruction methodologies to achieve faster image acquisition to improve cancer patient throughput, lower patient dose in accordance with ALARA, and improved quantitative accuracy to enable biomarker capability. Digital PET technology will advance molecular imaging capabilities beyond oncology and enable Precision Nuclear Medicine.

Indexed as

Biomedical TechnologyHumansNeoplasmsNuclear MedicinePositron-Emission Tomography

Identifiers

PMID29097926
PMCPMC5612735

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.