Literature DB >> 25271856

Robot-assisted radical prostatectomy: Multiparametric MR imaging-directed intraoperative frozen-section analysis to reduce the rate of positive surgical margins.

Giuseppe Petralia1, Gennaro Musi, Anwar R Padhani, Paul Summers, Giuseppe Renne, Sarah Alessi, Sara Raimondi, Deliu V Matei, Salvatore L Renne, Barbara A Jereczek-Fossa, Ottavio De Cobelli, Massimo Bellomi.   

Abstract

PURPOSE: To investigate whether use of multiparametric magnetic resonance (MR) imaging-directed intraoperative frozen-section (IFS) analysis during nerve-sparing robot-assisted radical prostatectomy reduces the rate of positive surgical margins.
MATERIALS AND METHODS: This retrospective analysis of prospectively acquired data was approved by an institutional ethics committee, and the requirement for informed consent was waived. Data were reviewed for 134 patients who underwent preoperative multiparametric MR imaging (T2 weighted, diffusion weighted, and dynamic contrast-material enhanced) and nerve-sparing robot-assisted radical prostatectomy, during which IFS analysis was used, and secondary resections were performed when IFS results were positive for cancer. Control patients (n = 134) matched for age, prostate-specific antigen level, and stage were selected from a pool of 322 patients who underwent nerve-sparing robot-assisted radical prostatectomy without multiparametric MR imaging and IFS analysis. Rates of positive surgical margins were compared by means of the McNemar test, and a multivariate conditional logistic regression model was used to estimate the odds ratio of positive surgical margins for patients who underwent MR imaging and IFS analysis compared with control subjects.
RESULTS: Eighteen patients who underwent MR imaging and IFS analysis underwent secondary resections, and 13 of these patients were found to have negative surgical margins at final pathologic examination. Positive surgical margins were found less frequently in the patients who underwent MR imaging and IFS analysis than in control patients (7.5% vs 18.7%, P = .01). When the differences in risk factors are taken into account, patients who underwent MR imaging and IFS had one-seventh the risk of having positive surgical margins relative to control patients (adjusted odds ratio: 0.15; 95% confidence interval: 0.04, 0.61).
CONCLUSION: The significantly lower rate of positive surgical margins compared with that in control patients provides preliminary evidence of the positive clinical effect of multiparametric MR imaging-directed IFS analysis for patients who undergo prostatectomy. © RSNA, 2014.

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Year:  2014        PMID: 25271856     DOI: 10.1148/radiol.14140044

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

1.  Prognostic value of unifocal and multifocal positive surgical margins in a large series of robot-assisted radical prostatectomy for prostate cancer.

Authors:  Etienne Xavier Keller; Jacqueline Bachofner; Anna Jelena Britschgi; Karim Saba; Ashkan Mortezavi; Basil Kaufmann; Christian D Fankhauser; Peter Wild; Tullio Sulser; Thomas Hermanns; Daniel Eberli; Cédric Poyet
Journal:  World J Urol       Date:  2018-12-05       Impact factor: 4.226

2.  Negative mpMRI Rules Out Extra-Prostatic Extension in Prostate Cancer before Robot-Assisted Radical Prostatectomy.

Authors:  Eoin Dinneen; Clare Allen; Tom Strange; Daniel Heffernan-Ho; Jelena Banjeglav; Jamie Lindsay; John-Patrick Mulligan; Tim Briggs; Senthil Nathan; Ashwin Sridhar; Jack Grierson; Aiman Haider; Christos Panayi; Dominic Patel; Alex Freeman; Jonathan Aning; Raj Persad; Imran Ahmad; Lorenzo Dutto; Neil Oakley; Alessandro Ambrosi; Tom Parry; Veeru Kasivisvanathan; Francesco Giganti; Greg Shaw; Shonit Punwani
Journal:  Diagnostics (Basel)       Date:  2022-04-23

3.  Intraoperative 68Ga-PSMA Cerenkov Luminescence Imaging for Surgical Margins in Radical Prostatectomy: A Feasibility Study.

Authors:  Christopher Darr; Nina N Harke; Jan Philipp Radtke; Leubet Yirga; Claudia Kesch; Maarten R Grootendorst; Wolfgang P Fendler; Pedro Fragoso Costa; Christoph Rischpler; Christine Praus; Johannes Haubold; Henning Reis; Thomas Hager; Ken Herrmann; Ina Binse; Boris Hadaschik
Journal:  J Nucl Med       Date:  2020-02-14       Impact factor: 10.057

4.  Multiparametric magnetic resonance imaging and frozen-section analysis efficiently predict upgrading, upstaging, and extraprostatic extension in patients undergoing nerve-sparing robotic-assisted radical prostatectomy.

Authors:  Roberto Bianchi; Gabriele Cozzi; Giuseppe Petralia; Sarah Alessi; Giuseppe Renne; Danilo Bottero; Antonio Brescia; Antonio Cioffi; Giovanni Cordima; Matteo Ferro; Deliu Victor Matei; Federica Mazzoleni; Gennaro Musi; Francesco Alessandro Mistretta; Alessandro Serino; Valeria Maria Lucia Tringali; Ioan Coman; Ottavio De Cobelli
Journal:  Medicine (Baltimore)       Date:  2016-10       Impact factor: 1.889

5.  Low PI-RADS assessment category excludes extraprostatic extension (≥pT3a) of prostate cancer: a histology-validated study including 301 operated patients.

Authors:  Sarah Alessi; Paola Pricolo; Paul Summers; Marco Femia; Elena Tagliabue; Giuseppe Renne; Roberto Bianchi; Gennaro Musi; Ottavio De Cobelli; Barbara Alicja Jereczek-Fossa; Massimo Bellomi; Giuseppe Petralia
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

6.  Prostate Imaging Reporting and Data System in prostate cancer staging and planning for radical prostatectomy.

Authors:  Mieszko Kozikowski; Bartłomiej Zagożdżon; Magdalena Gola; Jakub Dobruch
Journal:  Wideochir Inne Tech Maloinwazyjne       Date:  2019-03-26       Impact factor: 1.195

7.  Defining the incremental value of 3D T2-weighted imaging in the assessment of prostate cancer extracapsular extension.

Authors:  Iztok Caglic; Petra Povalej Brzan; Anne Y Warren; Ola Bratt; Nimish Shah; Tristan Barrett
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

8.  Prostate specific membrane antigen-radio guided surgery using Cerenkov luminescence imaging-utilization of a short-pass filter to reduce technical pitfalls.

Authors:  Boris Alexander Hadaschik; Stephan Tschirdewahn; Christopher Darr; Pedro Fragoso Costa; Claudia Kesch; Ulrich Krafft; Lukas Püllen; Nina Natascha Harke; Jochen Hess; Tibor Szarvas; Johannes Haubold; Henning Reis; Wolfgang Peter Fendler; Ken Herrmann; Jan Philipp Radtke
Journal:  Transl Androl Urol       Date:  2021-10

9.  The efficacy and utilisation of preoperative multiparametric magnetic resonance imaging in robot-assisted radical prostatectomy: does it change the surgical dissection plan?

Authors:  Hasan Hüseyin Tavukçu; Ömer Aytaç; Numan Cem Balcı; Haluk Kulaksızoğlu; Fatih Atuğ
Journal:  Turk J Urol       Date:  2017-12-01

10.  3.0-T multiparametric magnetic resonance imaging modifies the template of endoscopic, conventional radical prostatectomy in all cancer risk categories
.

Authors:  Mieszko Kozikowski; Jan Powroźnik; Wojciech Malewski; Szymon Kawecki; Sebastian Piotrowicz; Wojciech Michalak; Łukasz Nyk; Magdalena Gola; Jakub Dobruch
Journal:  Arch Med Sci       Date:  2018-07-17       Impact factor: 3.318

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