Evidence map›Paper›PMID 40252100›Full record

ArticleAbdominal radiology (New York)2025

Evaluating extraprostatic extension of prostate cancer: pragmatic integration of MRI and PSMA-PET/CT.

Sungmin Woo, Daniel Freedman, Anton S Becker, Doris Leithner, Charlotte Charbel, Marius E Mayerhoefer, Kent P Friedman, Angela Tong, David R Wise, Samir S Taneja and 2 more

Abstract read
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Article in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impact ofDiagnostics (Basel, Switzerland) · 2025
    Article
  5. Multimodal imaging deep learning model for predicting extraprostatic extension in prostate cancer using MpMRI and 18 F-PSMA-PET/CT.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
    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

12 authors.

Sungmin WooDepartment of Radiology, NYU Langone Health, New York, USA. sungmin.woo@nyulangone.org.ORCID 0000-0001-8459-8369
Daniel FreedmanDepartment of Radiology, NYU Langone Health, New York, USA.
Anton S BeckerDepartment of Radiology, NYU Langone Health, New York, USA.
Doris LeithnerDepartment of Radiology, NYU Langone Health, New York, USA.
Charlotte CharbelDepartment of Radiology, NYU Langone Health, New York, USA.
Marius E MayerhoeferDepartment of Radiology, NYU Langone Health, New York, USA.
Kent P FriedmanDepartment of Radiology, NYU Langone Health, New York, USA.
Angela TongDepartment of Radiology, NYU Langone Health, New York, USA.
David R WiseDepartment of Medicine, Perlmutter Cancer Center, NYU Langone Medical Center, New York, USA.
Samir S TanejaDepartment of Urology, NYU Langone Health, New York, USA.
Michael J ZelefskyDepartment of Radiation Oncology, NYU Grossman School of Medicine, New York, USA.
Hebert Alberto VargasDepartment of Radiology, NYU Langone Health, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore pragmatic approaches integrating MRI and PSMA-PET/CT for evaluating extraprostatic extension (EPE) of prostate cancer (PCa).

methodsConsecutive patients with newly-diagnosed PCa that underwent multiparametric MRI and PSMA-PET/CT, followed by radical prostatectomy in 2021-2024 were included. Imaging parameters assessed on both modalities were: size, length of capsular contact (LCC), Likert scales (MRI EPE grade/PSMA Likert scale), PI-RADS/PRIMARY scores, and SUV

results67 men (median age, 66 years) with EPE in 76.1% (51/67) were included. Area under ROC curves (AUC) were 0.61-0.82; MRI-based LCC yielded the highest AUC 0.82 (0.71-0.92) with cutoff of ≥ 1.7 cm. Integrated Likert scale (MRI EPE grade/PSMA Likert scale) showed sensitivity of 80.4% (41/51) and specificity of 31.3% (5/16). P score (PI-RADS/PRIMARY) demonstrated sensitivity of 31.3% (16/51) and specificity of 87.5% (14/16). Combining morphological MRI information with functional PSMA-PET/CT yielded sensitivity and specificity of 80.4% (41/51) and 81.2% (13/16), respectively, which demonstrated significantly higher sensitivity but non-significantly different specificity compared with MRI-based LCC alone (66.7% [34/51, p = 0.02] and 87.5% [14/16, p > 0.99]). This approach upgraded suspicion in 8 patients with LCC < 1.7 cm due to SUV

conclusionSeveral pragmatic approaches were explored for integrating MRI and PSMA-PET/CT to assess EPE in PCa. Combining morphological information from MRI and PSMA expression on PET/CT demonstrated good diagnostic performance and may be a simple pragmatic integrated method that can be used.

Indexed as

Magnetic Resonance ImagingMultimodal ImagingPositron Emission Tomography Computed TomographyProstatic NeoplasmsAgedGlutamate Carboxypeptidase IIHumansMaleMiddle AgedMultiparametric Magnetic Resonance ImagingNeoplasm InvasivenessProstatectomyRadiopharmaceuticalsRetrospective StudiesGlutamate Carboxypeptidase IIRadiopharmaceuticalsExtraprostatic extensionMagnetic resonance imagingPositron emission tomographyProstate cancerProstate specific membrane antigen

Identifiers

PMID40252100

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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.