Lessons learned from the International Renal Cell Carcinoma-Venous Thrombus Consortium (IRCC-VTC) View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-05

AUTHORS

Juan I. Martínez-Salamanca, Estefania Linares, Javier González, Roberto Bertini, Joaquín A. Carballido, Thomas Chromecki, Gaetano Ciancio, Sia Daneshmand, Christopher P. Evans, Paolo Gontero, Axel Haferkamp, Markus Hohenfellner, William C. Huang, Theresa M. Koppie, Viraj A. Master, Rayan Matloob, James M. McKiernan, Carrie M. Mlynarczyk, Francesco Montorsi, Hao G. Nguyen, Giacomo Novara, Sascha Pahernik, Juan Palou, Raj S. Pruthi, Krishna Ramaswamy, Oscar Rodriguez Faba, Paul Russo, Shahrokh F. Shariat, Martin Spahn, Carlo Terrone, Derya Tilki, Daniel Vergho, Eric M. Wallen, Evanguelos Xylinas, Richard Zigeuner, John A. Libertino

ABSTRACT

Renal cell carcinoma (RCC) extension into the renal vein or the inferior vena cava occurs in 4%-10% of all kidney cancer cases. This entity shows a wide range of different clinical and surgical scenarios, making natural history and oncological outcomes variable and poorly characterized. Infrequency and variability make it necessary to share the experience from different institutions to properly analyze surgical outcomes in this setting. The International Renal Cell Carcinoma-Venous Tumor Thrombus Consortium was created to answer the questions generated by competing results from different retrospective studies in RCC with venous extension on current controversial topics. The aim of this article is to summarize the experience gained from the analysis of the world's largest cohort of patients in this unique setting to date. More... »

PAGES

404

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11934-014-0404-7

DOI

http://dx.doi.org/10.1007/s11934-014-0404-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035417938

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24682884


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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/s11934-014-0404-7'

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/s11934-014-0404-7'

Turtle is a human-readable linked data format.

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11934-014-0404-7'


 

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