Evidence map›Paper›PMID 38918291›Full record

ReviewLa Radiologia medica2024

What the urologist needs to know before radical prostatectomy: MRI effective support to pre-surgery planning.

Ludovica Laschena, Emanuele Messina, Rocco Simone Flammia, Antonella Borrelli, Simone Novelli, Daniela Messineo, Costantino Leonardo, Alessandro Sciarra, Antonio Ciardi, Carlo Catalano and 1 more

Erratum issuedAbstract readReview
In one paragraph

Review in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Integrating Artificial Intelligence into Prostate MR Imaging: Technical Foundations, Clinical Applications, and Workflow Implications.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Review
  4. Review
  5. Article
  6. Association Between Preoperative Penile Circumference and Urinary Function After Robot-Assisted Radical Prostatectomy.International journal of urology : official journal of the Japanese Urological Association · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Ludovica LaschenaDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0001-8375-0912
Emanuele MessinaDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0003-4395-2872
Rocco Simone FlammiaDepartment of Urology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.ORCID http://orcid.org/0000-0002-3129-0544
Antonella BorrelliDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0009-0003-3621-2056
Simone NovelliDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0003-2797-8925
Daniela MessineoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0003-3059-4439
Costantino LeonardoDepartment of Urology, IRCCS Regina Elena National Cancer Institute, Rome, Italy.ORCID http://orcid.org/0000-0003-1407-0424
Alessandro SciarraDepartment of Maternal-Infant and Urological Sciences, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0002-7899-8056
Antonio CiardiDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0001-8480-6236
Carlo CatalanoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0003-4208-9691
Valeria PanebiancoDepartment of Radiological Sciences, Oncology and Pathology, Sapienza University of Rome, Rome, Italy. valeria.panebianco@gmail.com.ORCID http://orcid.org/0000-0002-3091-8192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadical prostatectomy (RP) is recommended in case of localized or locally advanced prostate cancer (PCa), but it can lead to side effects, including urinary incontinence (UI) and erectile dysfunction (ED). Magnetic resonance imaging (MRI) is recommended for PCa diagnosis and staging, but it can also improve preoperative risk-stratification. PURPOSE: This nonsystematic review aims to provide an overview on factors involved in RP side effects, highlighting anatomical and pathological aspects that could be included in a structured report. EVIDENCE SYNTHESIS: Considering UI evaluation, MR can investigate membranous urethra length (MUL), prostate volume, the urethral sphincter complex, and the presence of prostate median lobe. Longer MUL measurement based on MRI is linked to a higher likelihood of achieving continence restoration. For ED assessment, MRI and diffusion tensor imaging identify the neurovascular bundle and they can aid in surgery planning. Finally, MRI can precisely describe extra-prostatic extension, prostate apex characteristics and lymph-node involvement, providing valuable preoperative information for PCa treatment.

conclusionsAnatomical principals structures involved in RP side effects can be assessed with MR. A standardized MR report detailing these structures could assist urologists in planning optimal and tailored surgical techniques, reducing complications, and improving patients' care.

Indexed as

Erectile DysfunctionMagnetic Resonance ImagingProstatectomyProstatic NeoplasmsUrinary IncontinenceHumansMalePreoperative CareErectile dysfunctionMagnetic resonance imagingProstate cancerRadical prostatectomyRisk-stratificationUrinary incontinence

Identifiers

PMID38918291
PMCPMC11252184

What OpenQuestion holds

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Registered trials

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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.