Evidence map›Paper›PMID 35001161›Full record

ArticleWorld journal of urology2022

Use of high-resolution micro-ultrasound to predict extraprostatic extension of prostate cancer prior to surgery: a prospective single-institutional study.

Vittorio Fasulo, Nicolò Maria Buffi, Federica Regis, Marco Paciotti, Fancesco Persico, Davide Maffei, Alessandro Uleri, Alberto Saita, Paolo Casale, Rodolfo Hurle and 3 more

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Article in World journal of urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  4. BJUI compass · 2026
    Article
  5. Micro-ultrasound for prostate cancer.Nature reviews. Urology · 2026
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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

13 authors.

Vittorio FasuloDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.
Nicolò Maria BuffiDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy. Nicolo.buffi@hunimed.eu.
Federica RegisDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.
Marco PaciottiDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.
Fancesco PersicoDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.
Davide MaffeiDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.
Alessandro UleriDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.
Alberto SaitaDepartment of Urology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.
Paolo CasaleDepartment of Urology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.
Rodolfo HurleDepartment of Urology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.
Massimo LazzeriDepartment of Urology, IRCCS Humanitas Research Hospital, via Manzoni 56, 20089, Rozzano, Milan, Italy.
Giorgio GuazzoniDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.
Giovanni LughezzaniDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090, Pieve Emanuele, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aim to evaluate the accuracy of micro-ultrasound (microUS) in predicting extraprostatic extension (EPE) of Prostate Cancer (PCa) prior to surgery.

methodsPatients with biopsy-proven PCa scheduled for robot-assisted radical prostatectomy (RARP) were prospectively recruited. The following MRI-derived microUS features were evaluated: capsular bulging, visible breach of the prostate capsule (visible extracapsular extension; ECE), presence of hypoechoic halo, and obliteration of the vesicle-prostatic angle. The ability of each feature to predict EPE was determined.

resultsOverall, data from 140 patients were examined. All predictors were associated with non-organ-confined disease (p < 0.001). Final pathology showed that 79 patients (56.4%) had a pT2 disease and 61 (43.3%) ≥ pT3. Rate of non-organ-confined disease increased from 44% in those individuals with only 1 predictor (OR 7.71) to 92.3% in those where 4 predictors (OR 72.00) were simultaneously observed. The multivariate logistic regression model including clinical parameters showed an area under the curve (AUC) of 82.3% as compared to an AUC of 87.6% for the model including both clinical and microUS parameters. Presence of ECE at microUS predicted EPE with a sensitivity of 72.1% and a specificity of 88%, a negative predictive value of 80.5% and positive predictive value of 83.0%, with an AUC of 80.4%.

conclusionsMicroUS can accurately predict EPE at the final pathology report in patients scheduled for RARP.

Indexed as

ProstatectomyProstatic NeoplasmsBiopsyHumansMagnetic Resonance ImagingMaleNeoplasm StagingProspective StudiesProstateRetrospective StudiesDiagnosisLocal stagingMicro-ultrasoundmpMRIProstate biopsyProstate cancerRadical prostatectomy

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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.