ArticleCancers2023
Baseline [
Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Quantitative PSMA PET Biomarkers for Predicting Response toJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026Pooled it
- Baseline PSMA PET/CT Biomarkers for Patient Selection in [Pharmaceuticals (Basel, Switzerland) · 2026Review
- Predictive imaging biomarkers on whole-body diffusion-weighted MRI (WB-DWMRI) and [Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Impact of different PSMA PET-based eligibility criteria on outcome of [EJNMMI research · 2026Article
- Predicting PSA50 response to [Formula: see text]Lu-PSMA therapy using machine learning and automated total tumor volume.EJNMMI physics · 2025Article
- Synthesis of DOTA-BasedMethods and protocols · 2025Article
- Semiquantitative Analysis in PET/CT Imaging of Prostate Cancer.Journal of clinical medicine · 2025Review
- PSMA PET as a Tool for Active Surveillance of Prostate Cancer-Where Are We at?Journal of clinical medicine · 2025Review
- Correlation of [European journal of nuclear medicine and molecular imaging · 2024Article
- Predicting Response to [177Lu]Lu-PSMA Therapy in mCRPC Using Machine Learning.Journal of personalized medicine · 2024Article
- Prognostic Role of PSMA-Targeted Imaging in Metastatic Castration-Resistant Prostate Cancer: An Overview.Biomedicines · 2024Review
- Developments in radionanotheranostic strategies for precision diagnosis and treatment of prostate cancer.EJNMMI radiopharmacy and chemistry · 2024Review
- Cobalt Serum Level as a Biomarker of Cause-Specific Survival among Prostate Cancer Patients.Cancers · 2024Article
- Dual FDG/PSMA PET imaging to predict lesion-based progression of mCRPC during PSMA-RLT.Scientific reports · 2024Article
- Recent advances in the development ofAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024Review
- Alpha emitter isotopes and PSMA ligands: the near future therapeutic prospective for castration-resistant prostate cancer.European journal of nuclear medicine and molecular imaging · 2024Article
- PSMA-targeted therapy for non-prostate cancers.Frontiers in oncology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Baseline uptake on prostate-specific membrane antigen (PSMA)-targeted imaging is a prerequisite for radioligand therapy (RLT) with [177Lu]Lu-PSMA-617. This study aims to quantify lesion-based response to RLT in relation to pretreatment standard molecular imaging metrics derived from [68Ga]Ga-PSMA-11 PET/CT. Sixty-one patients with mCRPC underwent [68Ga]Ga-PSMA-11 PET/CT imaging before and after a median of 4 (IQR 2−6) RLT cycles. Maximum and mean standardized uptake values (SUVmax, SUVmean), as well as tumor-to-liver ratio (TLR), were assessed. A median of 12 (IQR 7−17) lesions was analyzed per patient, resulting in a total of 718 lesions. Lesions with ≥30% SUVmax decline or falling below the blood pool uptake were considered responsive; ≥30% SUVmax increase marked lesion progression. Additionally, 4-point visual scoring was performed according to E-PSMA consensus. In total, 550/718 (76.6%) lesions responded to RLT, including 389/507 (76.7%) bone metastases and 143/181 (79.0%) lymph node metastases. Baseline SUVmax, SUVmean, and TLR values were associated with lesion response by a moderate but significant correlation (rs = 0.33, p < 0.001, rs = 0.32, p < 0.001, and rs = 0.31, p < 0.001, respectively). For the classification of lesion progression based on baseline PSMA uptake, receiver operating characteristics (ROC) found SUVmax, SUVmean, and TLR to have comparable discriminatory value (AUC 0.85, 0.87, and 0.83). Of 42 tumor sites with baseline uptake below the liver (V-score < 2), 19/42 (45.2%) were responsive, 9/42 (21.4%) were stable, and 14/42 (33.3%) showed progression, leaving liver uptake a threshold with low prognostic value for the identification of RLT-refractory lesions (PPV 33%). This was observed accordingly for various liver uptake-based thresholds, including TLR < 1.5, <2.0 with a PPV at 24%, 20%, respectively. Standard uptake parameters quantified by routine baseline [68Ga]Ga-PSMA-11 PET/CT are moderately associated with post-treatment lesion response to [177Lu]Lu-PSMA-617. Commonly applied liver-based uptake thresholds have limited value in predicting refractory lesions at individual tumor sites.
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What OpenQuestion holds
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.