Evidence map›Paper›PMID 37877824›Full record

ArticleUrology research & practice2023

Prostate Imaging for Local Recurrence Reporting and Data System for Biparametric Magnetic Resonance Imaging: A Proposal.

Michele Scialpi, Eugenio Martorana, Fabio Trippa, Alessandro Di Marzo, Giovanni Battista Scalera, Maria Cristina Aisa, Alfredo D'Andrea, Francesco Maria Mancioli, Refky Nicola, Pietro Scialpi and 1 more

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Article in Urology research & practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 69% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 5 institutions in 3 countries.

Michele ScialpiDepartment of Medicine and Surgery, Division of Diagnostic Imaging, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.
Eugenio MartoranaDivision of Urology, Nuovo Ospedale Civile Sassuolo, Modena, Italy.
Fabio TrippaRadiation Oncology Centre, Ospedale Santa Maria, Terni, Italy.
Alessandro Di MarzoRadiation Oncology Centre, Ospedale Santa Maria, Terni, Italy.
Giovanni Battista ScaleraDivision of Radiology, Perugia Hospital Authority, Perugia, Italy.
Maria Cristina AisaDepartment of Medicine and Surgery, Division of Obstetric and Gynaecology, Santa Maria della Misericordia Hospital, University of Perugia, Perugia, Italy.
Alfredo D'AndreaDivision of Radiology, Ospedale di Caserta, Caserta Italy.
Francesco Maria MancioliDivision of Radiology, Ospedale Santa Maria, Terni, Italy.
Refky NicolaDepartment of Radiology, Syracuse, SUNY Upstate Medical, State University of New York Upstate Medical University, USA.
Pietro ScialpiDivision of Urology, Portogruaro Hospital, Venice, Italy.
Aldo Di BlasiDivision of Radiology, Tivoli Hospital, Tivoli, Italy.
University of Perugia · ITOspedale Santa Maria · ITSUNY Upstate Medical University · USInstitut Supérieur d’Electronique et des Réseaux & Télécommunications · MAOspedale di Rivoli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated a novel dedicated Prostate Imaging for Local Recurrence Reporting and Data System (PI-RRADS) in biochemical recurrence after radiotherapy (RT) and rad- ical prostatectomy (RP) evaluating biparametric magnetic resonance imaging (bpMRI) exams, at 3T MRI of 55 patients. Associating bpMRI and biochemical recurrence data, we calculated bpMRI diagnostic accuracy. Four probability categories, from 1 (very low) to 4 (very high), were distinguished. In 20 patients with radiotherapy, 25% and 75% of lesions were reported as PI-RRADS 3, and 4, respectively. In 35 patients with radi- cal prostatectomy, 7.7% of lesions were included in PI-RRADS 1-2, whereas 40.4% and 51.9% in PI-RRADS 3 and 4 categories, respectively. Excellent agreement and significant correlation between bpMRI and biochemical recurrence were found. BpMRI showed sensitivity, specificity, positive predictive value, negative predictive value, false-posi- tive value, false-negative value, and total diagnostic accuracy of 96.15%, 86.7%, 97.4 %, 81.25%, 13.3%, 3.8% and 94.6%, respectively. BpMRI-based PI-RRADS allows the detection and localization local recurrence in biochemical recurrence after RT and RP contributing in clinical management and treatment.

Identifiers

PMID37877824
PMCPMC10544277
OpenAlexW4385454946

What OpenQuestion holds

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LicenceCC BY
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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.