Does tumour effraction during robotic partial nephrectomy have any impact on recurrence? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-01

AUTHORS

Zine-Eddine Khene, Benoit Peyronnet, Benjamin Pradère, Corentin Robert, Anna Goujon, Solène-Florence Kammerer-Jacquet, Grégory Verhoest, Nathalie Rioux-Leclercq, Romain Mathieu, Karim Bensalah

ABSTRACT

OBJECTIVE: To evaluate the impact of accidental surgical incision into the tumour (ASIT) on oncological outcomes in patients undergoing RPN for a malignant tumour. MATERIALS AND METHODS: A retrospective review of our prospectively maintained database was performed to identify all patients who underwent RPN for a localized RCC between June 2010 and July 2016. We stratified our cohort into two groups according to the presence of an ASIT. Perioperative data were compared between the two groups. Logistic regression analyses were used to assess the variables associated with ASIT. Recurrence-free survival was estimated using the Kaplan-Meier method and compared between groups with the log-rank test. RESULTS: A total of 234 patients were identified. 32 (14%) ASIT were observed. Patients' characteristics were similar in the two groups. Most of intraoperative outcomes were comparable between the two groups, but patients in the ASIT group had greater EBL (475 vs. 300 mL; p = 0.01). In multivariate analysis, tumour size (p = 0.02), RENAL score (p = 0.02), EBL (p = 0.05) and low surgeon experience (p = 0.03) were all predictive factors of ASIT. 15 (6%) of recurrences were observed over a median follow-up of 36 months. There was no difference in recurrence-free survival between the two groups (p = 0.57). CONCLUSIONS: In our experience, accidental surgical incision into the tumour during RPN was a common event that did not appear to compromise oncological outcome. More... »

PAGES

87-93

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10147-018-1331-2

DOI

http://dx.doi.org/10.1007/s10147-018-1331-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1106019125

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30083964


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10147-018-1331-2'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10147-018-1331-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10147-018-1331-2'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10147-018-1331-2'


 

This table displays all metadata directly associated to this object as RDF triples.

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