Evidence map›Paper›PMID 29201499›Full record

ReviewTurkish journal of urology2017

Biparametric MRI of the prostate.

Michele Scialpi, Alfredo D'Andrea, Eugenio Martorana, Corrado Maria Malaspina, Maria Cristina Aisa, Maria Napoletano, Emanuele Orlandi, Valeria Rondoni, Pietro Scialpi, Diamante Pacchiarini and 6 more

Erratum issuedAbstract readReview
In one paragraph

Review in Turkish journal of urology, 2017. 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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  5. Review
  6. Article
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  9. Diagnostic value of integratedProstate international · 2022
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
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  19. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Michele ScialpiDepartment of Surgical and Biomedical Sciences, Division of Radiology 2, Santa Maria della Misericordia Hospital, Perugia University, Sant' Andrea delle Fratte, Perugia, Italy.
Alfredo D'AndreaDepartment of Experimental Medicine, Magrassi Lanzara, Luigi Vanvitelli, Second University of Naples, Naples, Italy.
Eugenio MartoranaDepartment of Urology, Clinica Castelli, Bergamo, Italy.
Corrado Maria MalaspinaDepartment of Surgical and Biomedical Sciences, Division of Radiology 2, Santa Maria della Misericordia Hospital, Perugia University, Sant' Andrea delle Fratte, Perugia, Italy.
Maria Cristina AisaDepartment of Surgical and Biomedical Sciences, Division of Gynaecology, Santa Maria della Misericordia Hospital, Perugia University, Sant' Andrea delle Fratte, Perugia, Italy.
Maria NapoletanoDepartment of Surgical and Biomedical Sciences, Division of Radiology 2, Santa Maria della Misericordia Hospital, Perugia University, Sant' Andrea delle Fratte, Perugia, Italy.
Emanuele OrlandiDepartment of Surgical and Biomedical Sciences, Division of Radiology 2, Santa Maria della Misericordia Hospital, Perugia University, Sant' Andrea delle Fratte, Perugia, Italy.
Valeria RondoniDepartment of Surgical and Biomedical Sciences, Division of Radiology 2, Santa Maria della Misericordia Hospital, Perugia University, Sant' Andrea delle Fratte, Perugia, Italy.
Pietro ScialpiDivision of Urology, Portogruaro Hospital, Venice, Italy.
Diamante PacchiariniHealth Management, S. Maria della Misericordia Hospital, Sant' Andrea delle Fratte, Perugia, Italy.
Diego PalladinoDepartment of Radiology, Casa Sollievo della Sofferenza Hospital, Foggia, Italy.
Michele DragoneDepartment of Radiology, Casa Sollievo della Sofferenza Hospital, Foggia, Italy.
Giancarlo Di RenzoDepartment of Surgical and Biomedical Sciences, Division of Gynaecology, Santa Maria della Misericordia Hospital, Perugia University, Sant' Andrea delle Fratte, Perugia, Italy.
Annalisa SimeoneDepartment of Radiology, Casa Sollievo della Sofferenza Hospital, Foggia, Italy.
Giampaolo BianchiDivision of Urology, University of Modena, Modena, Italy.
Luca BruneseDepartment of Radiology, Campobasso University, C.da Tappino, Campobasso, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biparametric Magnetic Resonance Imaging (bpMRI) of the prostate combining both morphologic T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) is emerging as an alternative to multiparametric MRI (mpMRI) to detect, to localize and to guide prostatic targeted biopsy in patients with suspicious prostate cancer (PCa). BpMRI overcomes some limitations of mpMRI such as the costs, the time required to perform the study, the use of gadolinium-based contrast agents and the lack of a guidance for management of score 3 lesions equivocal for significant PCa. In our experience the optimal and similar clinical results of the bpMRI in comparison to mpMRI are essentially related to the DWI that we consider the dominant sequence for detection suspicious PCa both in transition and in peripheral zone. In clinical practice, the adoption of bpMRI standardized scoring system, indicating the likelihood to diagnose a clinically significant PCa and establishing the management of each suspicious category (from 1 to 4), could represent the rationale to simplify and to improve the current interpretation of mpMRI based on Prostate Imaging and Reporting Archiving Data System version 2 (PI-RADS v2). In this review article we report and describe the current knowledge about bpMRI in the detection of suspicious PCa and a simplified PI-RADS based on bpMRI for management of each suspicious PCa categories to facilitate the communication between radiologists and urologists.

Indexed as

Biparametric magnetic resonance imagingprostate cancerprostate imaging reporting and data system

Identifiers

PMID29201499
PMCPMC5687199

What OpenQuestion holds

Textmetadata
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.