ArticleMolecular imaging and biology2015
Application of partial volume effect correction and 4D PET in the quantification of FDG avid lung lesions.
Article in Molecular imaging and biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed, 37 citations in OpenAlex.
- Optimal FDG PET/CT volumetric parameters for risk stratification in patients with locally advanced non-small cell lung cancer: results from the ACRIN 6668/RTOG 0235 trial.European journal of nuclear medicine and molecular imaging · 2017Trial
- Quantifying [¹⁸F]fluorodeoxyglucose uptake in the arterial wall: the effects of dual time-point imaging and partial volume effect correction.European journal of nuclear medicine and molecular imaging · 2015Trial
- Imaging of Small Lung Nodules on Modern SAFOV and LAFOV PET in Combination With Data-driven Motion Correction: Implications for Current Practice.Clinical nuclear medicine · 2026Article
- Critical review of partial volume correction methods in PET and SPECT imaging: benefits, pitfalls, challenges, and future outlook.European journal of nuclear medicine and molecular imaging · 2026Review
- F-18 fluorodeoxyglucose positron emission tomography/computed tomography in the infection of heart.Yeungnam University journal of medicine · 2021Article
- Critical review of PET imaging for detection and characterization of the atherosclerotic plaques with emphasis on limitations of FDG-PET compared to NaF-PET in this setting.American journal of nuclear medicine and molecular imaging · 2021Review
- Integrated strategy combining endobronchial ultrasound with positron emission tomography to diagnose peripheral pulmonary lesions.Thoracic cancer · 2020Article
- Fusion and Healing Prediction in Posterolateral Spinal Fusion UsingDiagnostics (Basel, Switzerland) · 2020Article
- Respiratory Gating and the Performance of PET/CT in Pulmonary Lesions.Current radiopharmaceuticals · 2020Review
- Pretreatment volumetric parameters of FDG-PET predict the survival after Yttrium-90 radio-embolization in metastatic liver disease.American journal of nuclear medicine and molecular imaging · 2019Article
- What can be and what cannot be accomplished with PET to detect and characterize atherosclerotic plaques.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018Article
- Futility of attempts to detect and quantify beta cells by PET imaging in the pancreas: why it is time to abandon the approach.Diabetologia · 2018Review
- Prognostic role of serial quantitative evaluation ofEuropean journal of nuclear medicine and molecular imaging · 2018Article
- Respiratory-gated PET/CT for pulmonary lesion characterisation-promises and problems.The British journal of radiology · 2018Review
- Correction for Partial Volume Effect Is a Must, Not a Luxury, to Fully Exploit the Potential of Quantitative PET Imaging in Clinical Oncology.Molecular imaging and biology · 2018Article
- Maximum standardized uptake value on FDG-PET predicts survival in stage I non-small cell lung cancer following carbon ion radiotherapy.Oncology letters · 2017Article
- Clinical utility of F-18 FDG PET-CT in the initial evaluation of lung cancer.European journal of nuclear medicine and molecular imaging · 2016Review
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study is to assess a software-based method with semiautomated correction for partial volume effect (PVE) to quantify the metabolic activity of pulmonary malignancies in patients who underwent non-gated and respiratory-gated 2-deoxy-2-[(18)F]fluoro-D-glucose (FDG)-positron emission tomography (PET)/x-ray computed tomography(CT). PROCEDURES: The study included 106 lesions of 55 lung cancer patients who underwent respiratory-gated FDG-PET/CT for radiation therapy treatment planning. Volumetric PET/CT parameters were determined by using 4D PET/CT and non-gated PET/CT images. We used a semiautomated program employing an adaptive contrast-oriented thresholding algorithm for lesion delineation as well as a lesion-based partial volume effect correction algorithm. We compared respiratory-gated parameters with non-gated parameters by using pairwise comparison and interclass correlation coefficient assessment. In a multivariable regression analysis, we also examined factors, which can affect quantification accuracy, including the size of lesion and the location of tumor.
resultsThis study showed that quantification of volumetric parameters of 4D PET/CT images using an adaptive contrast-oriented thresholding algorithm and 3D lesion-based partial volume correction is feasible. We observed slight increase in FDG uptake by using PET/CT volumetric parameters in comparison of highest respiratory-gated values with non-gated values. After correction for partial volume effect, the mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) increased substantially (p value <0.001). However, we did not observe a clinically significant difference between partial volume corrected parameters of respiratory-gated and non-gated PET/CT scans. Regression analysis showed that tumor volume was the main predictor of quantification inaccuracy caused by partial volume effect.
conclusionsBased on this study, assessment of volumetric PET/CT parameters and partial volume effect correction for accurate quantification of lung malignant lesions by using respiratory non-gated PET images are feasible and it is comparable to gated measurements. Partial volume correction increased both the respiratory-gated and non-gated values significantly and appears to be the dominant source of quantification error of lung lesions.
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Registered trials
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.