ReviewHeliyon2020
Intensity threshold based solid tumour segmentation method for Positron Emission Tomography (PET) images: A review.
Review in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- Diagnostic accuracy of ¹⁸F-FDG PET/CT radiomics for non-invasive prediction of PD-L1 expression in non-small cell lung cancer: A systematic review and meta-analysis.Annals of nuclear medicine · 2026Pooled it
- Intra-arterial peptide-receptor radionuclide therapy for neuro-endocrine tumour liver metastases: an in-patient randomised controlled trial (LUTIA).European journal of nuclear medicine and molecular imaging · 2024Trial
- Discriminating inflammation from malignancy with short-dynamic patlak parametric 18 F-FDG PET/CT.European journal of nuclear medicine and molecular imaging · 2026Article
- Subtype-Specific Metabolic Patterns in Staging Breast Cancer: Insights from Conventional and Parametric PET Radiomics.Cancers · 2026Article
- Normal organ [European journal of nuclear medicine and molecular imaging · 2026Article
- [European journal of nuclear medicine and molecular imaging · 2026Article
- Baseline ¹BMC cancer · 2026Article
- Prognostic value of integrating CT morphological features and PET volumetric metabolic parameters in surgically resected stage IA non-small cell lung cancer: a two-center retrospective study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Semi-standardized evaluation of extraprostatic extension and seminal vesicle invasion with [EJNMMI reports · 2025Article
- Measurement of hepatic glucose (Scientific reports · 2024Article
- Performance Analysis of Six Semi-Automated Tumour Delineation Methods on [Sensors (Basel, Switzerland) · 2023Article
- The Prognostic Value of SequentialWorld journal of nuclear medicine · 2023Article
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- Cardiac MRI segmentation of the atria based on UU-NET.Frontiers in cardiovascular medicine · 2022Article
- A Novel Approach for Hybrid Image Segmentation GCPSO: FCM Techniques for MRI Brain Tumour Identification and Classification.Computational intelligence and neuroscience · 2022Article
- Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net.Computational intelligence and neuroscience · 2022Article
- Multi Level Approach for Segmentation of Interstitial Lung Disease (ILD) Patterns Classification Based on Superpixel Processing and Fusion ofComputational intelligence and neuroscience · 2022Article
- Deep Learning-Based CT Imaging in Diagnosing Myeloma and Its Prognosis Evaluation.Journal of healthcare engineering · 2021Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accurate, robust and reproducible delineation of tumour in Positron Emission Tomography (PET) is essential for diagnosis, treatment planning and response assessment. Since standardized uptake value (SUV) - a normalized semiquantitative parameter used in PET is represented by the intensity of the PET images and related to the radiotracer uptake, a SUV based threshold method is a natural choice to delineate the tumour. However, determination of an optimum threshold value is a challenging task due to low spatial resolution, and signal-to-noise ratio (SNR) along with finite image sampling constraint. The aim of the review is to summarize different fixed and adaptive threshold-based PET image segmentation approaches under a common mathematical framework Advantages and disadvantages of different threshold based methods are also highlighted from the perspectives of diagnosis, treatment planning and response assessment. Several fixed threshold values (30%-70% of the maximum SUV of the tumour (SUV
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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.