Evidence map›Paper›PMID 41493546›Full record

ArticleEuropean radiology2026

Evaluating indeterminate bone lesions and lymph nodes on PSMA-PET: a multidisciplinary consensus algorithm and 1-year implementation results.

Sungmin Woo, Angela Tong, Anton S Becker, Kent P Friedman, Doris Leithner, Charlotte Charbel, Marius E Mayerhoefer, Lale Kostakoglu Shields, James S Wysock, Wei Phin Tan and 10 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Sungmin WooDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA. Sungmin.Woo@nyulangone.org.ORCID http://orcid.org/0000-0001-8459-8369
Angela TongDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Anton S BeckerDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Kent P FriedmanDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Doris LeithnerDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Charlotte CharbelDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Marius E MayerhoeferDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Lale Kostakoglu ShieldsDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
James S WysockDepartment of Urology, NYU Langone Health, New York, NY, USA.
Wei Phin TanDepartment of Urology, NYU Langone Health, New York, NY, USA.
Jamie S PakDepartment of Urology, NYU Langone Health, New York, NY, USA.
Herbert LeporDepartment of Urology, NYU Langone Health, New York, NY, USA.
Nima AghdamDepartment of Radiation Oncology, Perlmutter Cancer Center at New York University Langone Hospital-Long Island, New York, NY, USA.
Anand MahadevanDepartment of Radiation Oncology, NYU Grossman School of Medicine, New York, NY, USA.
Minas P EconomidesDepartment of Medicine, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA.
Fang-Ming DengDepartment of Pathology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Samir S TanejaDepartment of Urology, NYU Langone Health, New York, NY, USA.
Michael J ZelefskyDepartment of Radiation Oncology, NYU Grossman School of Medicine, New York, NY, USA.
David R WiseDepartment of Medicine, Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA.
Hebert A VargasDepartment of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIndeterminate lesions on prostate-specific membrane antigen (PSMA)-PET are challenging to address. We aimed to develop, implement, and evaluate a multidisciplinary consensus algorithm that integrates existing interpretation systems with multimodality imaging and clinicopathological information for interpreting indeterminate bone and lymph node lesions on PSMA-PET. MATERIALS AND

methodsThis was a retrospective single-center study on a prospectively implemented algorithm. We included all consecutive prostate cancer patients whose PSMA-PET findings for indeterminate bone lesions or lymph nodes were discussed at a multidisciplinary tumor board (MDT) in 2024-2025. An algorithm determining the level of suspicion for metastasis was developed in a multidisciplinary fashion, incorporating lesion location, conventional imaging features, PSMA-PET characteristics, and clinicopathological information. The application of the algorithm and outcomes were documented, compared against a composite reference standard. Comparisons were made with PSMA-RADS and PROMISE V2 PSMA-expression scores.

results81 patients (median age 68, interquartile range 64-75) were included. Algorithm results were benign (48.1% [39/81]), equivocal (4.9% [4/81]), metastasis (40.7% [33/81]), and mixed (benign and metastatic lesions, 6.2% [5/81]). The algorithm was correct in 94.1% (64 of 68 patients with a sufficient reference standard). The algorithm was discordant with PSMA-RADS in 54.3% (44/81) and with PROMISE V2 PSMA-expression score in 71.6% (58/81). The frequency of equivocal lesions was lower using the algorithm (4.9% [4/81]) compared with PSMA-RADS (53.1% [43/81]) and PSMA-expression score (64.2% [52/81]).

conclusionA multidisciplinary consensus algorithm for interpreting indeterminate bone lesions and lymph nodes on PSMA-PET was developed and implemented. Integrating clinicopathological information and multimodality imaging in an MDT setting reduced equivocal interpretations. KEY POINTS: Question While prostate-specific membrane antigen (PSMA)-PET has become essential in the management of prostate cancer, indeterminate bone lesions and lymph nodes remain challenging to address. Findings A multidisciplinary algorithm for interpreting indeterminate bone lesions and lymph nodes on PSMA-PET, incorporating clinicopathological information and multimodality imaging, reduced the frequency of equivocal interpretations. Clinical relevance An algorithm for interpreting indeterminate bone lesions and lymph nodes on PSMA-PET, incorporating clinicopathological information and multimodality imaging in a multidisciplinary tumor board setting, decreases the frequency of equivocal interpretations and can potentially help management decisions.

Indexed as

AlgorithmsAntigens, SurfaceBone NeoplasmsGlutamate Carboxypeptidase IILymphatic MetastasisPositron-Emission TomographyProstatic NeoplasmsAgedConsensusHumansLymph NodesMaleMiddle AgedMultimodal ImagingRetrospective StudiesAntigens, SurfaceFOLH1 protein, humanGlutamate Carboxypeptidase IIComputed tomographyMagnetic resonance imagingPositron emission tomographyProstate cancerProstate-specific membrane antigen

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.