Evidence map›Paper›PMID 32842599›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Machine Learning Facilitates Hotspot Classification in PSMA-PET/CT with Nuclear Medicine Specialist Accuracy.

Sobhan Moazemi, Zain Khurshid, Annette Erle, Susanne Lütje, Markus Essler, Thomas Schultz, Ralph A Bundschuh

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. A convolutional neural network-based system for fully automatic segmentation of whole-body [European journal of nuclear medicine and molecular imaging · 2024
    Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Applications of artificial intelligence in nuclear medicine image generation.Quantitative imaging in medicine and surgery · 2021
    Review
  18. Decision-support for treatment withAnnals of translational medicine · 2021
    Article
  19. Article
  20. 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

7 authors at 2 institutions in 1 country.

Sobhan MoazemiDepartment of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0003-3277-3596
Zain KhurshidDepartment of Nuclear Medicine, Nuclear Medicine, Oncology and Radiotherapy Institute, 21061 Islamabad, Pakistan.
Annette ErleDepartment of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Susanne LütjeDepartment of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Markus EsslerDepartment of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.
Thomas SchultzDepartment of Computer Science, University of Bonn, 53115 Bonn, Germany.ORCID 0000-0002-1200-7248
Ralph A BundschuhDepartment of Nuclear Medicine, University Hospital Bonn, 53127 Bonn, Germany.ORCID 0000-0001-7291-9372
University Hospital Bonn · DEUniversity of Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gallium-68 prostate-specific membrane antigen positron emission tomography

Indexed as

computed tomography (CT)machine learning (ML)positron emission tomography (PET)prostate cancer (PC)prostate-specific membrane antigen (PSMA)

Identifiers

PMID32842599
PMCPMC7555620
OpenAlexW3080638124

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.