Evidence map›Paper›PMID 38349336›Full record

ReviewPathologica2024

Advances in radiology and pathology of prostate cancer: a review for the pathologist.

Pietro Pepe, Andrea Fandella, Michele Barbera, Pasquale Martino, Francesco Merolla, Alessandro Caputo, Filippo Fraggetta

Open access · diamondAbstract readReview
In one paragraph

Review in Pathologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Efficacy ofBiomedicines · 2025
    Article
  6. Article
  7. 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

7 authors at 5 institutions in 1 country.

Pietro PepeUrology Unit, Cannizzaro Hospital, Catania, Italy.
Andrea FandellaUrology Unit, Casa di Cura Rizzola San Donà di Piave (VE), Italy.
Michele BarberaUrology Unit, Giovanni Paolo II Hospital, Sciacca, Italy.
Pasquale MartinoUrology Unit, Santa Maria Hospital-GVM, Bari, Italy.
Francesco MerollaDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, Campobasso, Italy.
Alessandro CaputoPathology Unit, Ruggi University Hospital, Salerno, Italy.
Filippo FraggettaPathology Unit, Gravina Hospital, Caltagirone (CT), Italy.
CTO Hospital · ITOspedale Cannizzaro · ITOspedale di San Donà di Piave · ITSanta Maria Nuova Hospital · ITUniversity of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiparametric magnetic resonance imaging (mpMRI) has improved systematic prostate biopsy procedures in the diagnosis of clinically significant prostate cancer (csPCa) by reducing the number of unnecessary biopsies; numerous level one evidence studies have confirmed the accuracy of MRI-targeted biopsy, but, still today, systematic prostate biopsy is recommended to reduce the 15-20% false negative rate of mpMRI. New advanced imaging has been proposed to detect suspicious lesions and perform targeted biopsies especially when mpMRI cannot be performed. Transrectal ultrasound (TRUS) modalities are emerging as methods with greater sensitivity and specificity for the detection of PCa compared to the traditional TRUS; these techniques include elastography and contrast-enhanced ultrasound, as well as improved B-mode and Doppler techniques. These modalities can be combined to define a novel ultrasound approach: multiparametric ultrasound (mpUS). More recently, micro-ultrasound (MicroUS) and prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) have demonstrated to be sensitive for the detection of primary prostatic lesions resulting highly correlated with the aggressiveness of the primary prostatic tumor. In parallel, artificial intelligence is advancing and is set out to deeply change both radiology and pathology. In this study we address the role, advantages and shortcomings of novel imaging techniques for Pca, and discuss future directions including the applications of artificial intelligence-based techniques to imaging as well as histology. The significance of these findings for the practicing pathologist is discussed.

Indexed as

Prostatic NeoplasmsRadiologyArtificial IntelligenceHumansMagnetic Resonance ImagingMalePathologistsPositron Emission Tomography Computed Tomographyartificial intelligencefusion prostate biopsympMRIprostate cancerPSMA PET/CT

Identifiers

PMID38349336
PMCPMC10938278
OpenAlexW4391788162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.