Evidence map›Paper›PMID 33132469›Full record

ArticleNuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment2019

PET detectors with 127 ps CTR for the Tachyon-II time-of-flight PET scanner.

Siwei Xie, Xi Zhang, Hui Peng, Jingwu Yang, Qiu Huang, Jianfeng Xu, Qiyu Peng

Abstract read
In one paragraph

Article in Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, 2019. 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. Application-specific nuclear medicalPhysics in medicine and biology · 2021
    Review
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.

Siwei XieState Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Xi ZhangState Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Hui PengState Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Jingwu YangState Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Qiu HuangSchool of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200025, China.
Jianfeng XuState Key Lab of Digital Manufacturing Equipment & Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China.
Qiyu PengDepartment of Molecular Biophysics and Integrated Bioimaging, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

Funding

Exploring the Benefits of Time-of-Flight PETR01EB006085 · NIBIB · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PENG, QIYU · 2007 to 2016
$5.6M
NIBIB NIH HHS R01 EB006085
6 · The paper itself

Abstract

The signal-to-noise ratio (SNR) of the reconstructed image of Positron Emission Tomography (PET) can be improved by the timing measurement. In this article, we designed, fabricated and tested 32 time-of-flight (TOF) detectors for the second generation of Tachyon TOF-PET scanners. The detector module consists of two arrays of 2 × 12 lutetium-yttrium oxyorthosilicate (LYSO) crystal cubes of 6 ×6× 6 mm

Indexed as

Coincidence eventsDark currentEnergy resolutionPositron emission tomographyTime resolutionTOF PET

Identifiers

PMID33132469
PMCPMC7597903

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.