Evidence map›Paper›PMID 39477863›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

Long-axial field-of-view PET/CT improves radiomics feature reliability.

Ian L Alberts, Song Xue, Hasan Sari, Lara Cavinato, George Prenosil, Ali Afshar-Oromieh, Clemens Mingels, Kuangyu Shi, Federico Caobelli, Arman Rahmim and 2 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Large axial field of view PET/CT - Not just a longer PET gantry.Zeitschrift fur medizinische Physik · 2026
    Review
  3. 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

12 authors.

Ian L AlbertsMolecular Imaging and Therapy, BC Cancer - Vancouver, 600 West 10th Ave, Vancouver, BC, V5Z 1H5, Canada. ialberts@mail.ubc.ca.ORCID 0000-0003-2095-2263
Song XueDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Hasan SariDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Lara CavinatoDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
George PrenosilDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Ali Afshar-OromiehDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Clemens MingelsDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Kuangyu ShiDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Federico CaobelliDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Arman RahmimMolecular Imaging and Therapy, BC Cancer - Vancouver, 600 West 10th Ave, Vancouver, BC, V5Z 1H5, Canada.
Thomas PykaDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.
Axel RomingerDepartment of Nuclear Medicine, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the influence of long-axial field-of-view (LAFOV) PET/CT systems on radiomics feature reliability, to assess the suitability for short-duration or low-activity acquisitions for textural feature analysis and to investigate the influence of acceptance angle.

methods34 patients were analysed: twelve patients underwent oncological 2-[18F]-FDG PET/CT, fourteen [18F]PSMA-1007 and eight [68Ga]Ga-DOTATOC. Data were obtained using a 106 cm LAFOV system for 10 min. Sinograms were generated from list-mode data corresponding to scan durations of 2, 5, 10, 20, 30, 60, 120, 240, 360 and 600s using both standard (minimum ring difference MRD 85 crystals) and maximum acceptance angles (MRD 322). Target lesions were segmented and radiomics features were calculated. To assess feature correlation, Pearson's product-moment correlation coefficient (PPMCC) was calculated with respect to the full duration acquisition for MRD 85 and 322 respectively. The number of features with excellent (r > 0.9), moderate (r > 0.7 and < 0.9) and poor (r ≤ 0.7) correlation was compared as a measure of feature stability. Intra-class heterogeneity was assessed by means of the quartile coefficient of dispersion.

resultsAs expected, PPMCC improved with acquisition time for all features. By 240s almost all features showed at least moderate agreement with the full count (C100%) data, and by 360s almost all showed excellent agreement. Compared to standard-axial field of view (SAFOV) equivalent scans, fewer features showed moderate or poor agreement, and this was most pronounced for [68Ga]Ga-DOTATOC. Data obtained at C100% at MRD 322 were better able to capture between-patient heterogeneities.

conclusionThe improved feature reliability at longer acquisition times and higher MRD demonstrate the advantages of high sensitivity LAFOV systems for reproducible and low-noise data. High fidelity between MRD 85 and MRD 322 was seen at all scan durations > 2s. When contrasted with data comparable to a simulated SAFOV acquisition, full-count and full-MRD data were better able to capture underlying feature heterogeneities.

Indexed as

Image Processing, Computer-AssistedNeoplasmsPositron Emission Tomography Computed TomographyAdultAgedFemaleHumansMaleMiddle AgedRadiomicsReproducibility of ResultsDigital PETHigh sensitivityLong-axial field-of-viewPositron-emission-tomographyRadiomicsTextural analysisTotal-bodyWhole-body PET/CT

Identifiers

PMID39477863

What Socratic holds

Textmetadata
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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 Socratic graph.