Renal cellcarcinoma: advances in minimally invasive treatments and outcome prediction

S.G.C. Kroeze

Renal cellcarcinoma: advances in minimally invasive treatments and outcome prediction

S.G.C. Kroeze

Department of Urology

Research output: Thesis › Doctoral thesis 1 (Research UU / Graduation UU)

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Abstract

With a worldwide incidence of approximately 200,000 new cases and a mortality of 102,000 patients each year renal cell carcinoma (RCC) accounts for approximately 4% of cancer incidence and 2% of cancer mortality. Over the last decades the incidence of RCC has risen, largely due to the widespread use of cross-sectional imaging. Incidentally found small renal masses (SRMs,

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Utrecht University
Supervisors/Advisors	Bosch, JLHR, Primary supervisor Jans, Judith, Co-supervisor
Award date	12 Jun 2012
Publisher	Utrecht University
Print ISBNs	978-94-6191-318-0
Publication status	Published - 12 Jun 2012

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title = "Renal cellcarcinoma: advances in minimally invasive treatments and outcome prediction",

abstract = "With a worldwide incidence of approximately 200,000 new cases and a mortality of 102,000 patients each year renal cell carcinoma (RCC) accounts for approximately 4\% of cancer incidence and 2\% of cancer mortality. Over the last decades the incidence of RCC has risen, largely due to the widespread use of cross-sectional imaging. Incidentally found small renal masses (SRMs,",

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AU - Kroeze, S.G.C.

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AB - With a worldwide incidence of approximately 200,000 new cases and a mortality of 102,000 patients each year renal cell carcinoma (RCC) accounts for approximately 4% of cancer incidence and 2% of cancer mortality. Over the last decades the incidence of RCC has risen, largely due to the widespread use of cross-sectional imaging. Incidentally found small renal masses (SRMs,

M3 - Doctoral thesis 1 (Research UU / Graduation UU)

SN - 978-94-6191-318-0

PB - Utrecht University

ER -

Renal cellcarcinoma: advances in minimally invasive treatments and outcome prediction

Abstract

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