ArticleEuropean journal of nuclear medicine and molecular imaging2011
PET functional volume delineation: a robustness and repeatability study.
Article in European journal of nuclear medicine and molecular imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.
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Who cites it
55 citing papers in PubMed.
- Quantification of metabolic tumor activity and burden in patients with non-small-cell lung cancer: Is manual adjustment of semiautomatic gradient-based measurements necessary?Nuclear medicine communications · 2015Trial
- Impact of tumor size and tracer uptake heterogeneity in (18)F-FDG PET and CT non-small cell lung cancer tumor delineation.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2011Trial
- Integrating Imaging and Circulating Tumor DNA Features for Predicting Patient Outcomes.Cancers · 2024Review
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- Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[European journal of nuclear medicine and molecular imaging · 2022Review
- Interobserver Agreement on Automated Metabolic Tumor Volume Measurements of Deauville Score 4 and 5 Lesions at InterimJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021Article
- Convolutional neural networks for PET functional volume fully automatic segmentation: development and validation in a multi-center setting.European journal of nuclear medicine and molecular imaging · 2021Article
- Intensity threshold based solid tumour segmentation method for Positron Emission Tomography (PET) images: A review.Heliyon · 2020Review
- Impact of suboptimal dosimetric coverage of pretherapeutic 18F-FDG PET/CT hotspots on outcome in patients with locally advanced cervical cancer treated with chemoradiotherapy followed by brachytherapy.Clinical and translational radiation oncology · 2020Article
- The QIBA Profile for FDG PET/CT as an Imaging Biomarker Measuring Response to Cancer Therapy.Radiology · 2020Article
- Use of BaselineFrontiers in oncology · 2020Article
- Revisiting the identification of tumor sub-volumes predictive of residual uptake after (chemo)radiotherapy: influence of segmentation methods onScientific reports · 2019Article
- Absolute radiotracer concentration measurement using whole-body solid-state SPECT/CT technology: in vivo/in vitro validation.Medical & biological engineering & computing · 2019Article
- Radiomics in Oncological PET/CT: a Methodological Overview.Nuclear medicine and molecular imaging · 2019Review
- FDG PET/CT radiomics for predicting the outcome of locally advanced rectal cancer.European journal of nuclear medicine and molecular imaging · 2018Article
- Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better?Nuclear medicine and molecular imaging · 2018Review
- Impact of the EARL harmonization program on automatic delineation of metabolic active tumour volumes (MATVs).EJNMMI research · 2017Article
- Evaluation of the tumor registration error in biopsy procedures performed under real-time PET/CT guidance.Medical physics · 2017Article
- Characterisation of malignant peripheral nerve sheath tumours in neurofibromatosis-1 using heterogeneity analysis ofEuropean journal of nuclear medicine and molecular imaging · 2017Article
- The potential ofEuropean journal of nuclear medicine and molecular imaging · 2017Article
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5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeCurrent state-of-the-art algorithms for functional uptake volume segmentation in PET imaging consist of threshold-based approaches, whose parameters often require specific optimization for a given scanner and associated reconstruction algorithms. Different advanced image segmentation approaches previously proposed and extensively validated, such as among others fuzzy C-means (FCM) clustering, or fuzzy locally adaptive bayesian (FLAB) algorithm have the potential to improve the robustness of functional uptake volume measurements. The objective of this study was to investigate robustness and repeatability with respect to various scanner models, reconstruction algorithms and acquisition conditions. METHODS AND MATERIALS: Robustness was evaluated using a series of IEC phantom acquisitions carried out on different PET/CT scanners (Philips Gemini and Gemini Time-of-Flight, Siemens Biograph and GE Discovery LS) with their associated reconstruction algorithms (RAMLA, TF MLEM, OSEM). A range of acquisition parameters (contrast, duration) and reconstruction parameters (voxel size) were considered for each scanner model, and the repeatability of each method was evaluated on simulated and clinical tumours and compared to manual delineation.
resultsFor all the scanner models, acquisition parameters and reconstruction algorithms considered, the FLAB algorithm demonstrated higher robustness in delineation of the spheres with low mean errors (10%) and variability (5%), with respect to threshold-based methodologies and FCM. The repeatability provided by all segmentation algorithms considered was very high with a negligible variability of <5% in comparison to that associated with manual delineation (5-35%).
conclusionThe use of advanced image segmentation algorithms may not only allow high accuracy as previously demonstrated, but also provide a robust and repeatable tool to aid physicians as an initial guess in determining functional volumes in PET.
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