Evidence map›Paper›PMID 38747982›Full record

ArticleWorld journal of urology2024

The impact of prostate volume estimation on the risk-adapted biopsy decision based on prostate-specific antigen density and magnetic resonance imaging score.

Arthur Baudewyns, Karsten Guenzel, Adam Halinski, Charles Dariane, Gina Delavar, Julien Anract, Nicolas Barry Delongchamps, Teddy Jabbour, Henri-Alexandre Bourgeno, Yolène Lefebvre and 22 more

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Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

32 authors.

Arthur BaudewynsDepartment of Urology, Jules Bordet Institute-Erasme Hospital, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
Karsten GuenzelDepartment of Urology, Vivantes Klinikum Am Urban, Berlin, Deutschland.
Adam HalinskiDepartment of Urology, Private Medical Center "Klinika Wisniowa", Zielona Góra, Poland.
Charles DarianeDepartment of Urology, Hôpital Européen Georges-Pompidou, Université de Paris/U1151 Inserm/Institut Necker Enfants-Malades, Paris, France.
Gina DelavarDepartement of Urology, Hôpital Cochin, Paris, France.
Julien AnractDepartement of Urology, Hôpital Cochin, Paris, France.
Nicolas Barry DelongchampsDepartement of Urology, Hôpital Cochin, Paris, France.
Teddy JabbourDepartment of Urology, Jules Bordet Institute-Erasme Hospital, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
Henri-Alexandre BourgenoDepartment of Urology, Jules Bordet Institute-Erasme Hospital, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
Yolène LefebvreDepartment of Radiology, Jules Bordet Institute-Erasme Hospital, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
Mariaconsiglia FerrieroDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, Rome, Italy.
Giuseppe SimoneDepartment of Urology, IRCCS "Regina Elena" National Cancer Institute, Rome, Italy.
Alexandre FourcadeDepartment of Urology, Hôpital Cavale Blanche, CHRU Brest, Brest, France.
Georges FournierDepartment of Urology, Hôpital Cavale Blanche, CHRU Brest, Brest, France.
Marco OderdaDepartment of Urology, Città Della Salute E Della Scienza Di Torino, University of Turin, Turin, Italy.
Paolo GonteroDepartment of Urology, Città Della Salute E Della Scienza Di Torino, University of Turin, Turin, Italy.
Adrian Bernal-GomezDepartment of Urology, Clinique Saint-Augustin, Bordeaux, France.
Alessandro MastrorosaDepartment of Urology, Clinique Saint-Augustin, Bordeaux, France.
Jean-Baptiste RocheDepartment of Urology, Clinique Saint-Augustin, Bordeaux, France.
Rawad Abou ZahrDepartment of Urology, La Croix du Sud Hospital, Quint Fonsegrives, France.
Guillaume PloussardDepartment of Urology, La Croix du Sud Hospital, Quint Fonsegrives, France.
Gaelle FiardDepartment of Urology, Grenoble Alpes University Hospital, Université Grenoble Alpes, CNRS, Grenoble INP, TIMC, Grenoble, France.
Katerina RysankovaDepartment of Urology, University Hospital Ostrava, Ostrava, Czech Republic.
Alexandre Patrick BuiDepartment of Urology, Centre Hospitalier Universitaire de Reims, Reims, France.
Fayek TahaDepartment of Urology, Centre Hospitalier Universitaire de Reims, Reims, France.
Olivier WindischDepartment of Urology, Hôpitaux Universitaires de Genève, Geneva, Switzerland.
Daniel BenamranDepartment of Urology, Hôpitaux Universitaires de Genève, Geneva, Switzerland.
Léonidas VlahopoulosDepartment of Urology, Cliniques de L'Europe-Saint Elisabeth, Brussels, Belgium.
Gregoire AssenmacherDepartment of Urology, Cliniques de L'Europe-Saint Elisabeth, Brussels, Belgium.
Thierry RoumeguèreDepartment of Urology, Jules Bordet Institute-Erasme Hospital, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
Alexandre PeltierDepartment of Urology, Jules Bordet Institute-Erasme Hospital, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium.
Romain DiamandDepartment of Urology, Jules Bordet Institute-Erasme Hospital, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles, Brussels, Belgium. romain.diamand@hubruxelles.be.ORCID http://orcid.org/0000-0002-2016-8543

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUtility of prostate-specific antigen density (PSAd) for risk-stratification to avoid unnecessary biopsy remains unclear due to the lack of standardization of prostate volume estimation. We evaluated the impact of ellipsoidal formula using multiparametric magnetic resonance (MRI) and semi-automated segmentation using tridimensional ultrasound (3D-US) on prostate volume and PSAd estimations as well as the distribution of patients in a risk-adapted table of clinically significant prostate cancer (csPCa).

methodsIn a prospectively maintained database of 4841 patients who underwent MRI-targeted and systematic biopsies, 971 met inclusions criteria. Correlation of volume estimation was assessed by Kendall's correlation coefficient and graphically represented by scatter and Bland-Altman plots. Distribution of csPCa was presented using the Schoots risk-adapted table based on PSAd and PI-RADS score. The model was evaluated using discrimination, calibration plots and decision curve analysis (DCA).

resultsMedian prostate volume estimation using 3D-US was higher compared to MRI (49cc[IQR 37-68] vs 47cc[IQR 35-66], p < 0.001). Significant correlation between imaging modalities was observed (τ = 0.73[CI 0.7-0.75], p < 0.001). Bland-Altman plot emphasizes the differences in prostate volume estimation. Using the Schoots risk-adapted table, a high risk of csPCa was observed in PI-RADS 2 combined with high PSAd, and in all PI-RADS 4-5. The risk of csPCa was proportional to the PSAd for PI-RADS 3 patients. Good accuracy (AUC of 0.69 and 0.68 using 3D-US and MRI, respectively), adequate calibration and a higher net benefit when using 3D-US for probability thresholds above 25% on DCA.

conclusionsProstate volume estimation with semi-automated segmentation using 3D-US should be preferred to the ellipsoidal formula (MRI) when evaluating PSAd and the risk of csPCa.

Indexed as

ProstateProstate-Specific AntigenProstatic NeoplasmsAgedClinical Decision-MakingHumansImage-Guided BiopsyMagnetic Resonance ImagingMaleMiddle AgedMultiparametric Magnetic Resonance ImagingOrgan SizeProspective StudiesRisk AssessmentProstate-Specific AntigenMRIProstate cancerSegmentationTransrectal ultrasoundVolume estimation

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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.