Evidence map›Paper›PMID 30631910›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2019

Comparison of image quality and lesion detection between digital and analog PET/CT.

Diego Alfonso López-Mora, Albert Flotats, Francisco Fuentes-Ocampo, Valle Camacho, Alejandro Fernández, Agustí Ruiz, Joan Duch, Marina Sizova, Anna Domènech, Montserrat Estorch and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
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  3. Lung lesion detectability on images obtained from decimated and CNN-based denoised [European journal of nuclear medicine and molecular imaging · 2025
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  5. Long-axial field-of-view PET/CT improves radiomics feature reliability.European journal of nuclear medicine and molecular imaging · 2025
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  15. Deep Learning Denoising Improves and Homogenizes Patient [Diagnostics (Basel, Switzerland) · 2023
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  16. Review
  17. Article
  18. Detection efficacy of analog [European radiology · 2023
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  19. The uptake of [Frontiers in transplantation · 2023
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  20. Artificial intelligence guided enhancement of digital PET: scans as fast as CT?European journal of nuclear medicine and molecular imaging · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Diego Alfonso López-MoraNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain. dlopezmo@santpau.cat.ORCID http://orcid.org/0000-0002-3533-7362
Albert FlotatsNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Francisco Fuentes-OcampoNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Valle CamachoNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Alejandro FernándezNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Agustí RuizMedical Physics and Radiological Protection Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Joan DuchNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Marina SizovaNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Anna DomènechNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Montserrat EstorchNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.
Ignasi CarrióNuclear Medicine Department, Hospital de la Santa Creu i Sant Pau, Autonomous University of Barcelona, Pare Claret 167, 08025, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to compare image quality and lesion detection capability between a digital and an analog PET/CT system in oncological patients. MATERIALS AND

methodsOne hundred oncological patients (62 men, 38 women; mean age of 65 ± 12 years) were prospectively included from January-June 2018. All patients, who accepted to be scanned by two systems, consecutively underwent a single day, dual imaging protocol (digital and analog PET/CT). Three nuclear medicine physicians evaluated image quality using a 4-point scale (-1, poor; 0, fair; 1, good; 2, excellent) and detection capability by counting the number of lesions with increased radiotracer uptake. Differences were considered significant for a p value <0.05.

resultsImproved image quality in the digital over the analog system was observed in 54% of the patients (p = 0.05, 95% CI, 44.2-63.5). The percentage of interrater concordance in lesion detection capability between the digital and analog systems was 97%, with an interrater measure agreement of κ = 0.901 (p < 0.0001). Although there was no significant difference in the total number of lesions detected by the two systems (digital: 5.03 ± 10.6 vs. analog: 4.53 ± 10.29; p = 0.7), the digital system detected more lesions in 22 of 83 of PET+ patients (26.5%) (p = 0.05, 95% CI, 17.9-36.7). In these 22 patients, all lesions detected by the digital PET/CT (and not by the analog PET/CT) were < 10 mm.

conclusionDigital PET/CT offers improved image quality and lesion detection capability over the analog PET/CT in oncological patients, and even better for sub-centimeter lesions.

Indexed as

Positron Emission Tomography Computed TomographyAgedAged, 80 and overDiagnosis, Computer-AssistedFemaleFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedMaleMiddle AgedNeoplasmsObserver VariationProspective StudiesRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsAnalog PET/CTDigital PET/CTImage qualityLesion detection capability

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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.