Evidence map›Paper›PMID 37799119›Full record

ArticleFrontiers in surgery2023

Understanding tumor localization in multiparametric MRI of the prostate-effectiveness of 3D printed models.

Maximilian Haack, Katja Reisen, Ahmed Ghazy, Kristina Stroh, Lisa Frey, Peter Sparwasser, Gregor Duwe, Rene Mager, Axel Haferkamp, Hendrik Borgmann

Abstract read
In one paragraph

Article in Frontiers in surgery, 2023. 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. Review
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

10 authors.

Maximilian HaackDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Katja ReisenDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Ahmed GhazyDepartment of Cardiovascular Surgery, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Kristina StrohDepartment of Diagnostic and Interventional Radiology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Lisa FreyDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Peter SparwasserDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Gregor DuweDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Rene MagerDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Axel HaferkampDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.
Hendrik BorgmannDepartment of Urology and Pediatric Urology, Johannes-Gutenberg-University Medical Center, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Understanding tumor localization in multiparametric MRI (mpMRI) of the prostate is challenging for urologists but of great importance in mpMRI-fused prostate biopsy or radical prostatectomy. The aim was to evaluate the effectiveness of 3D printed models of the prostate to help urologists to locate tumors. Methods and Participants: 20 urologists from University Medical Center Mainz (Germany) were asked to plot the location of a cancer suspicious lesion (PI-RADS ≥ 4) on a total of 30 mpMRI on a prostate sector diagram. The following 3 groups (as matched triplets) were divided into: mpMRI only, mpMRI with radiological report and mpMRI with 3D printed model (scaled 1:1). Statistical analysis was performed using one-way and two-way ANOVA (with bonferroni post-test). Results: Overall, localization of the suspicious lesion was superior with the radiological report (median of max. 10 [IQR]: MRI 2 [IQR 1;5], MRI + report: 8 [6.3;9], MRI + 3D model 3 [1.3;5.8]; Conclusion: Urologists still need the written radiological report for a sufficient understanding of tumor localization. The effectiveness of the 3D printed model regarding tumor localization is particularly evident in young residents (<1 year) and leads to a better overall assessment of the tumor extension.

Indexed as

3D printed prostate modelMRI of the prostatePI-RADSprostateprostate biopsyprostate carcinoma

Identifiers

PMID37799119
PMCPMC10547869

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