• No results found

Soft tissue tumors: perfusion and diffusion-weighted MR imaging Rijswijk, Catharina van

N/A
N/A
Protected

Academic year: 2021

Share "Soft tissue tumors: perfusion and diffusion-weighted MR imaging Rijswijk, Catharina van"

Copied!
11
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

Citation

Rijswijk, C. van. (2005, June 30). Soft tissue tumors: perfusion and diffusion-weighted MR

imaging. Retrieved from https://hdl.handle.net/1887/4284

Version:

Corrected Publisher’s Version

License:

Licence agreement concerning inclusion of doctoral thesis in the

Institutional Repository of the University of Leiden

Downloaded from:

https://hdl.handle.net/1887/4284

(2)

Soft tissue tumors:

(3)
(4)

Soft tissue tumors:

perfusion and diffusion-weighted MR imaging

PROEFSCHRIFT

ter verkrijging van

de graad Doctor aan de Universiteit Leiden, op gezag van de Rector Magnificus Dr. D.D. Breimer,

hoogleraar in de faculteit der Wiskunde en Natuurwetenschappen en die der Geneeskunde,

volgens besluit van het College voor Promoties te verdedigen op donderdag 30 juni 2005

te klokke 14:15 uur

door

Catharina Stoffelina Pieternella van Rijswijk geboren te Haarlem

(5)

PROMOTIECOMMISSIE

Promotores: Prof. dr. J.L. Bloem Prof. dr. A.H.M. Taminiau

Referent: Prof. dr. A.M. De Schepper (Universiteit Antwerpen, Belgie)

(6)
(7)

© C.S.P. van Rijswijk, Leiden, The Netherlands. All rights preserved. No parts of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without prior written permission of the author.

Printed by De Kempenaer, Oegstgeest. ISBN 9-9019576-9

(8)
(9)
(10)

Chapter 3 Synovial sarcoma: dynamic contrast-enhanced MR imaging 29 features

Chapter 4 Value of dynamic contrast-enhanced MR imaging in diagnosing 41

and classifying peripheral vascular malformations

Chapter 5 Soft tissue tumors: value of static and dynamic 59 Gd-DTPA-enhanced MR imaging in predicting malignancy

Chapter 6 Diffusion-weighted MR imaging in the characterization of 85 soft tissue tumors

Chapter 7 Dynamic contrast-enhanced MR imaging in monitoring 99 response to isolated limb perfusion in high-grade soft tissue

sarcoma - preliminary results

Chapter 8 Surveillance imaging of soft tissue sarcoma and aggressive 118 fibromatosis

Chapter 9 Summary and General conclusion 135 Samenvatting en Algemene conclusie

(11)

Referenties

GERELATEERDE DOCUMENTEN

In the most commonly used tractography al- gorithms, i.e., streamline based methods, the fibers are estimated by using the principal direction of the diffusion tensor [14, 97,

License: Licence agreement concerning inclusion of doctoral thesis in the Institutional Repository of the University of Leiden Downloaded from: https://hdl.handle.net/1887/4284.

The purpose of this thesis is to explore and evaluate new and optimized MR imaging techniques, including fast dynamic contrast-enhanced MR imaging and diffusion- weighted MR imaging,

However, only one case exhibited all three dynamic contrast-enhanced MR features associated with malignancy, i.e., early start of tumor enhancement, peripheral tumoral enhancement

By combining dynamic contrast-enhanced MR characteristics with morphologic findings, we could differentiate, to some extent, the various peripheral vascular malformations (Table

The incremental value of static contrast-enhanced MR parameters and a combination of static and dynamic contrast-enhanced MR parameters relative to the value of nonenhanced MR

Measurement of signal attenuation at different diffusion-sensitizing gradient strengths allows estimation of true diffusion coefficients and the perfusion fraction (1;10;11),

Patient characteristics MR imaging findings Histopathological examination Tumor Standard Areas of early Pattern of early Progression of No Gender, Location volume nonenhanced