Evidence map›Paper›PMID 31280463›Full record

ArticleJournal of robotic surgery2020

Visualization of peri-prostatic neurovascular fibers before and after radical prostatectomy by means of diffusion tensor imaging (DTI) with clinical correlations: preliminary report.

Salvatore Siracusano, Antonio B Porcaro, Alessandro Tafuri, Marco Pirozzi, Adam Cybulski, Aliasger Shakir, Leone Tiso, Renato Talamini, Roberto Pozzi Mucelli

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Clinical application and progress of quantitative functional magnetic resonance imaging in prostate cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
    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

9 authors at 4 institutions in 2 countries.

Salvatore SiracusanoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Ospedale Civile Maggiore, Piazzale Stefani 1, 37136, Verona, Italy. salvatore.siracusano@univr.it.
Antonio B PorcaroDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Ospedale Civile Maggiore, Piazzale Stefani 1, 37136, Verona, Italy.
Alessandro TafuriDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Ospedale Civile Maggiore, Piazzale Stefani 1, 37136, Verona, Italy.
Marco PirozziDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Ospedale Civile Maggiore, Piazzale Stefani 1, 37136, Verona, Italy.
Adam CybulskiDepartment of Radiology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Aliasger ShakirUSC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA.
Leone TisoDepartment of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Ospedale Civile Maggiore, Piazzale Stefani 1, 37136, Verona, Italy.
Renato TalaminiIRCCS-CRO, Unit of Epidemiology and Biostatistics, Aviano, Italy.
Roberto Pozzi MucelliDepartment of Radiology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.
Azienda Ospedaliera Universitaria Integrata Verona · ITUniversity of Verona · ITCentro di Riferimento Oncologico · ITUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate if diffusion tensor imaging (DTI) is able to detect morphological changes of peri-prostatic neurovascular fibers (PNF) before and after robot-assisted radical prostatectomy (RARP) and if these changes are related to urinary incontinence (UI) and erectile dysfunction (ED). From October 2014 and August 2017, 26 patients with biopsy-proven prostate cancer underwent prostatic multiparametric magnetic resonance imaging (mp-MRI) including DTI sequencing before, and 6 months after, RARP. Images were analyzed by placing six regions of interest (ROI), respectively, at base, mid gland, and apex, one for each side, to obtain tractographic reconstruction of the PNF. Patients were asked to complete International Consultation Incontinence Questionnaire-Short Form (ICIQ-SF) and International Index of Erectile Function (IIEF-5) questionnaires before RARP and 6 months post-operatively. Fractional anisotropy (FA), number (N), and length (L) of PNF before and after RARP were compared by means of Student's t test; Spearman's test was used to evaluate correlation between DTI parameters and questionnaires' scores. We observed a significant difference in N values before and after RARP (p < 0.001) and a negative correlation between IIEF-5 score and post-operative FA values at both the right (rho = - 0.42; p = 0.0456) and left (rho = - 0.66; p = 0.0006) base of the prostate. DTI with tractography of PNF is able to detect quantitative changes in N, L, and FA values in PNF after RARP. In particular, we observed an inverse correlation between FA of PNF and ED at 6 months after RARP. Further investigations are needed to confirm this trend.

Indexed as

Diffusion Tensor ImagingErectile DysfunctionHumansMaleNerve FibersPostoperative PeriodProstateProstatectomyRobotic Surgical ProceduresUrinary IncontinenceDiffusion tensor imagingErectile dysfunctionMRIRARPUrinary continence

Identifiers

PMID31280463
OpenAlexW2954657477

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.