Evidence map›Paper›PMID 32632397›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2020

Design study of a dedicated head and neck cancer PET system.

Mohan Li, Brett Yockey, Shiva Abbaszadeh

Abstract read
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Radiation Detectors and Sensors in Medical Imaging.Sensors (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Parameter Selection for Convex Optimization Time Calibration for a 2-Panel PET System.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Application-specific nuclear medicalPhysics in medicine and biology · 2021
    Review
  11. Back-end readout electronic design and initial results: a head-and-neck dedicated PET system based on CZT.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  12. 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

3 authors.

Mohan LiDepartment of Nuclear, Plasma, and Radiological Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801 USA.
Brett YockeyCarle Foundation Hospital, 611 W. Park Street, Urbana, Illinois 61801, USA.
Shiva AbbaszadehDepartment of Nuclear, Plasma, and Radiological Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801 USA.

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 · 2018 to 2021
$2.6M
NIBIB NIH HHS R01 EB028091
6 · The paper itself

Abstract

The tumor-involved regions of head and neck cancer (HNC) have complex anatomical structures and vital physiological roles. As a consequence, there is a need for high sensitivity and high spatial resolution dedicated HNC PET scanner. The purpose of this study is to evaluate and optimize system design that includes detecting materials and geometries. For the detecting material, two scanners with the same two-panel geometry based on CZT and LYSO were evaluated. For the system geometry, four CZT scanners with two-panel, lengthened two-panel, four-panel, and full-ring geometries were evaluated. A cylinder phantom with sphere lesions and an XCAT phantom in the head and neck region were simulated. The results showed that the sensitivity of the 40-

Indexed as

Dedicated PETHead and neck cancerMonte Carlo simulationSystem design

Identifiers

PMID32632397
PMCPMC7337125

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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.