ArticleEuropean journal of nuclear medicine and molecular imaging2023
Evaluation of thresholding methods for the quantification of [
Article in European journal of nuclear medicine and molecular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.
- Prognostic factors of PSMA-targeted radioligand therapy in metastatic castration-resistant prostate cancer: a systematic review and meta-analysis.Prostate cancer and prostatic diseases · 2026Pooled it
- Investigating the significance of SPECT/CT-SUV for monitoringBMC medical imaging · 2025Pooled it
- The emerging role of prostate-specific membrane antigen-targeted radioligand therapy in metastatic hormone-sensitive prostate cancer.The oncologist · 2026Review
- Fully automated volumetric assessment of tumor burden using artificial intelligence onEuropean journal of nuclear medicine and molecular imaging · 2026Article
- FDG/PSMA discordance in [Frontiers in oncology · 2026Review
- Bellmunt risk score enables survival prediction in men with metastatic castration resistant prostate cancer (mCRPC) undergoing PSMA-targeted radioligand therapy (LUMEN).European journal of nuclear medicine and molecular imaging · 2026Article
- Supporting intraoperative margin assessment using deep learning for automatic tumour segmentation in breast lumpectomy micro-PET-CT.NPJ breast cancer · 2025Article
- Role ofBMC cancer · 2025Article
- An Automated Deep Learning-Based Framework for Uptake Segmentation and Classification on PSMA PET/CT Imaging of Patients with Prostate Cancer.Journal of imaging informatics in medicine · 2024Article
- Predictors of Metastasis in 68GA-Prostate Specific Membrane Antigen Pet-CT in the Primary Staging of Prostate Cancer.Journal of clinical medicine · 2024Article
- The Impact of PSMA PET/CT on Modern Prostate Cancer Management and Decision Making-The Urological Perspective.Cancers · 2023Review
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to systematically evaluate the effect of thresholding algorithms used in computer vision for the quantification of prostate-specific membrane antigen positron emission tomography (PET) derived tumor volume (PSMA-TV) in patients with advanced prostate cancer. The results were validated with respect to the prognostication of overall survival in patients with advanced-stage prostate cancer. MATERIALS AND
methodsA total of 78 patients who underwent [
resultsThe whole-body PSMA-TVs, quantified using different thresholding methods, demonstrate a high positive correlation with the baseline methods. We observed the highest correlation with generalized histogram thresholding (GHT) (Pearson r (r), p value (p): r = 0.977, p < 0.001) and Sauvola thresholding (r = 0.974, p < 0.001) and the lowest correlation with Multiotsu (r = 0.877, p < 0.001) and Yen thresholding methods (r = 0.878, p < 0.001). The median survival time of all patients was 9.87 months (95% CI [9.3 to 10.13]). Stratification by median whole-body PSMA-TV resulted in a median survival time from 11.8 to 13.5 months for the patient group with lower tumor burden and 6.5 to 6.6 months for the patient group with higher tumor burden. The patient group with lower tumor burden had significantly higher probability of survival (p < 0.00625) in eight out of nine thresholding methods (Fig. 2); those methods were SUVmax50 (p = 0.0038), SUV ≥3 (p = 0.0034), Multiotsu (p = 0.0015), Yen (p = 0.0015), Niblack (p = 0.001), Sauvola (p = 0.0001), Otsu (p = 0.0053), and Li thresholding (p = 0.0053).
conclusionThresholding methods commonly used in computer vision are promising tools for the semiautomatic quantification of whole-body PSMA-TV in [
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