Evidence map›Paper›PMID 36592266›Full record

ReviewEJNMMI physics2023

Technical opportunities and challenges in developing total-body PET scanners for mice and rats.

Junwei Du, Terry Jones

Open access · goldAbstract readReview
In one paragraph

Review in EJNMMI physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Feasibility Study for a Microstrip Transmission Line RF Coil Integrated with a PET Detector Module in a 7T Human MR Imaging System.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  7. Article
  8. Review
  9. 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

2 authors at 1 institution in 1 country.

Junwei DuDepartment of Biomedical Engineering, University of California at Davis, Davis, CA, 95616, USA. jwdu@ucdavis.edu.ORCID http://orcid.org/0000-0002-1719-8266
Terry JonesDepartment of Radiology, University of California at Davis, Davis, CA, 95616, USA. terry.jones40@googlemail.com.
University of California, Davis · US

Funding

A 0.5 mm resolution total-body small-animal PETR01EB031961 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DU, JUNWEI · 2022 to 2025
$2.6M
Maximizing sensitivity for ultra-low dose PET imagingR01EB028806 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DU, JUNWEI · 2020 to 2024
$2.3M
NIBIB NIH HHS R01 EB028806NIBIB NIH HHS R01 EB031961NIH HHS R01 EB028806NIH HHS R01 EB031961
6 · The paper itself

Abstract

Positron emission tomography (PET) is the most sensitive in vivo molecular imaging technique available. Small animal PET has been widely used in studying pharmaceutical biodistribution and disease progression over time by imaging a wide range of biological processes. However, it remains true that almost all small animal PET studies using mouse or rat as preclinical models are either limited by the spatial resolution or the sensitivity (especially for dynamic studies), or both, reducing the quantitative accuracy and quantitative precision of the results. Total-body small animal PET scanners, which have axial lengths longer than the nose-to-anus length of the mouse/rat and can provide high sensitivity across the entire body of mouse/rat, can realize new opportunities for small animal PET. This article aims to discuss the technical opportunities and challenges in developing total-body small animal PET scanners for mice and rats.

Indexed as

MiceRatSmall animalTotal-body PET

Identifiers

PMID36592266
PMCPMC9807733
OpenAlexW4313476996

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.