Evidence map›Paper›PMID 39493887›Full record

ArticleAdvances in radiotherapy & nuclear medicine2024

Combining PET and Compton imaging with edge-on CZT detectors for enhanced diagnostic capabilities.

Greyson Shoop, Shiva Abbaszadeh

Abstract read
In one paragraph

Article in Advances in radiotherapy & nuclear medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Greyson ShoopDepartment of Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, United States of America.ORCID 0000-0002-1114-8604
Shiva AbbaszadehDepartment of Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, United States of America.ORCID 0000-0001-6345-2408

Funding

High spatial resolution dedicated head and neck PET system based on cadmium zinc telluride detectorsR01EB028091 · NIBIB · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ABBASZADEH, SHIVA, WANG, GUOBAO · 2018 to 2021
$2.6M
Development of a combined Gamma/Positron system for molecular imaging of the human brain at sub-500 micron spatial resolutionUH3EB034686 · NIBIB · UNIVERSITY OF ARIZONA · PI Shiva Abbaszadeh, LARS R FURENLID · 2025 to 2026
$1.8M
Development of a combined Gamma/Positron system for molecular imaging of the human brain at sub-500 micron spatial resolutionUG3EB034686 · NIBIB · UNIVERSITY OF ARIZONA · PI ABBASZADEH, SHIVA, FURENLID, LARS R · 2023 to 2024
$840k
NIBIB NIH HHS R01 EB028091NIBIB NIH HHS UG3 EB034686NIBIB NIH HHS UH3 EB034686
6 · The paper itself

Abstract

The key metrics for positron emission tomography (PET) imaging devices include the capability to capture the maximum available amount of annihilation photon information while generating high-quality images of the radiation distribution. This capability carries clinical implications by reducing scanning time for imaging, thus reducing radiation exposure for patients. However, imaging quality is degraded by positron range effects and the non-collinearity of positron annihilation photons. Utilizing an edge-on configuration of cadmium zinc telluride (CZT) detector crystals offers a potential solution to increase PET sensitivity. The high cross-section of CZT and its capacity to detect both 511 keV annihilation gammas and high-energy prompt gammas, along with multiple photon interaction events, contribute to this increased sensitivity. In this study, we propose a dual-panel edge-on CZT detector system comprised of 4 × 4 × 0.5 cm

Indexed as

Compton cameraMulti-isotope imagingPositron emission tomography/computed tomographyPositron range

Identifiers

PMID39493887
PMCPMC11529829

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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.