Evidence map›Paper›PMID 33641046›Full record

ArticleEJNMMI research2021

Evaluation of [

Manuel Weber, Walter Jentzen, Regina Hofferber, Ken Herrmann, Wolfgang Peter Fendler, Maurizio Conti, Axel Wetter, David Kersting, Christoph Rischpler, Pedro Fragoso Costa

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2021. 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
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Diagnostic value of [Scientific reports · 2026
    Observational
  2. Comparison between [EJNMMI research · 2026
    Article
  3. Staging of prostate Cancer with ultra-fast PSMA-PET scans enhanced by AI.European journal of nuclear medicine and molecular imaging · 2025
    Article
  4. Article
  5. Article
  6. Comparison of Digital versus AnalogDiagnostics (Basel, Switzerland) · 2023
    Article
  7. Lesion Quantification Accuracy of DigitalJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
  8. Artificial intelligence guided enhancement of digital PET: scans as fast as CT?European journal of nuclear medicine and molecular imaging · 2022
    Article
  9. Article
  10. Review
  11. New PET technologies - embracing progress and pushing the limits.European journal of nuclear medicine and molecular imaging · 2021
    Article
  12. Evaluation ofBMC cancer · 2021
    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

10 authors at 4 institutions in 2 countries.

Manuel WeberDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany. manuel.weber@uk-essen.de.ORCID http://orcid.org/0000-0002-9000-1319
Walter JentzenDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany.
Regina HofferberDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany.
Ken HerrmannDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany.
Wolfgang Peter FendlerDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany.
Maurizio ContiSiemens Medical Solutions USA, INC, Knoxville, TN, USA.
Axel WetterInstitute of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, Essen, Germany.
David KerstingDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany.
Christoph RischplerDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany.
Pedro Fragoso CostaDepartment of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Hufelandstrasse 55, 45122, Essen, Germany.
Deutschen Konsortium für Translationale Krebsforschung · DEEssen University Hospital · DESiemens (United States) · USUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aim[

methodsTwenty prostate cancer patients (11 for biochemical recurrence, 5 for initial staging, 4 for metastatic disease) sequentially underwent [

resultsOverall, 98% of regions (91% of affected regions) were correctly classified in the reduced acquisition protocol independent of the image reconstruction algorithm. Two nodal lesions (each ≤ 4 mm) were not identified (leading to downstaging in 1/20 cases). Mean absolute percentage deviation of SUVmax (SUVpeak) was approximately 9% (6%) for each reconstruction algorithm. The mean image noise increased from 13 to 21% (4 iterations) and from 10 to 15% (2 iterations) for PSF + TOF and TOF images.

conclusionsHigh agreement at 3.5-fold reduction of scan time in terms of per-region detection (98% of regions) and image quantification (mean deviation ≤ 10%) was demonstrated; however, small lesions can be missed in about 10% of patients leading to downstaging (T1N0M0 instead of T1N1M0) in 5% of patients. Our results suggest that a reduction of scan time duration or administered [

Indexed as

Image qualityPET/CTPSMASilicon photomultiplier

Identifiers

PMID33641046
PMCPMC7914332
OpenAlexW3135018499

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.