Evidence map›Paper›PMID 30280249›Full record

ArticleEuropean radiology2019

Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors.

Ali Ketabi, Pardis Ghafarian, Mohammad Amin Mosleh-Shirazi, Seyed Rabi Mahdavi, Arman Rahmim, Mohammad Reza Ay

Abstract read
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Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 23 citations in OpenAlex.

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  6. Effects of Tracer Uptake Time in Non-Small Cell Lung CancerJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
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  8. Tumor volume-adapted SUVJapanese journal of radiology · 2021
    Article
  9. Predicting EGFR mutation subtypes in lung adenocarcinoma usingTranslational lung cancer research · 2020
    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

6 authors at 6 institutions in 3 countries.

Ali KetabiDepartment of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Pardis GhafarianChronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran. pardis.ghafarian@sbmu.ac.ir.
Mohammad Amin Mosleh-ShiraziIonizing and Nonionizing Radiation Protection Research Center and Department of Radio-Oncology, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyed Rabi MahdaviDepartment of Medical Physics, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Arman RahmimDepartment of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Mohammad Reza AyDepartment of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. mohammadreza_ay@sina.tums.ac.ir.ORCID http://orcid.org/0000-0002-5383-4418
Iran University of Medical Sciences · IRMasih Daneshvari Hospital · IRShiraz University of Medical Sciences · IRSina Hospital · IRTehran University of Medical Sciences · IRUniversity of British Columbia · CA

Funding

Tehran University of Medical Sciences and Health Services 28212
6 · The paper itself

Abstract

objectiveThis study aims to assess the impact of different image reconstruction methods on PET/CT quantitative volumetric and textural parameters and the inter-reconstruction variability of these measurements.

methodsA total of 25 oncology patients with 65 lesions (between 2017 and 2018) and a phantom with signal-to-background ratios (SBR) of 2 and 4 were included. All images were retrospectively reconstructed using OSEM, PSF only, TOF only, and TOFPSF with 3-, 5-, and 6.4-mm Gaussian filters. The metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were measured. The relative percent error (ΔMTV and ΔTLG) with respect to true values, volume recovery coefficients, and Dice similarity coefficient, as well as inter-reconstruction variabilities were quantified and assessed. In clinical scans, textural features (coefficient of variation, skewness, and kurtosis) were determined.

resultsAmong reconstruction methods, mean ΔMTV differed by -163.5 ± 14.1% to 6.3 ± 6.2% at SBR2 and -42.7 ± 36.7% to 8.6 ± 3.1 at SBR4. Dice similarity coefficient significantly increased by increasing SBR from 2 to 4, ranging from 25.7 to 83.4% between reconstruction methods. Mean ΔTLG was -12.0 ± 1.7 for diameters > 17 mm and -17.8 ± 7.8 for diameters ≤ 17 mm at SBR4. It was -31.7 ± 4.3 for diameters > 17 mm and -14.2 ± 5.8 for diameters ≤ 17 mm at SBR2. Textural features were prone to variations by reconstruction methods (p < 0.05).

conclusionsInter-reconstruction variability was significantly affected by the target size, SBR, and cut-off threshold value. In small tumors, inter-reconstruction variability was noteworthy, and quantitative parameters were strongly affected. TOFPSF reconstruction with small filter size produced greater improvements in performance and accuracy in quantitative PET/CT imaging. KEY POINTS: • Quantitative volumetric PET evaluation is critical for the analysis of tumors. • However, volumetric and textural evaluation is prone to important variations according to different image reconstruction settings. • TOFPSF reconstruction with small filter size improves quantitative analysis.

Indexed as

Phantoms, ImagingAdultFemaleFluorodeoxyglucose F18HumansImage Processing, Computer-AssistedMaleNeoplasmsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsReproducibility of ResultsRetrospective StudiesTumor BurdenFluorodeoxyglucose F18RadiopharmaceuticalsImage reconstructionPET-CTRadiation oncologyTumor burden

Identifiers

PMID30280249
OpenAlexW2894753707

What OpenQuestion holds

Textmetadata
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.