P
Paul J. van Diest
Researcher at Utrecht University
Publications - 514
Citations - 22750
Paul J. van Diest is an academic researcher from Utrecht University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 70, co-authored 459 publications receiving 18892 citations. Previous affiliations of Paul J. van Diest include University Medical Center Utrecht & VU University Medical Center.
Papers
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Journal ArticleDOI
MET Targeted Molecular Fluorescence Guided Imaging and Quantitative Spectroscopy for the Detection of Lymph Node Metastases in Papillary Thyroid Cancer
Pascal Jonker,Madelon J. H. Metman,Luc Sondorp,Mark Sywak,Anthony J. Gill,Liesbeth Jansen,Thera P. Links,Paul J. van Diest,Tessa M van Ginhoven,Clemens W.G.M. Löwik,Ahn Nguyen,Robert P. Coppes,Dominic J. Robinson,Gooitzen M. van Dam,Bettien M. van Hemel,Rudolf S N Fehrmann,Schelto Kruijff +16 more
TL;DR: In this paper , a PTC-specific antigen targeted by a clinical available near infrared fluorescent (NIRF)-tracer was identified and associated with protein overexpression of the selected antigen with locoregional recurrence rates.
Journal ArticleDOI
Role of duct excision surgery in the treatment of pathological nipple discharge and detection of breast carcinoma: systematic review
TL;DR: In this paper , a systematic review was conducted to determine the malignancy rate in patients with pathological nipple discharge after duct excision surgery (microdochectomy/major duct incision) and to assess breast cancer development after surgery.
Book ChapterDOI
Ultrastaging of the sentinel node
TL;DR: In this paper , the authors provide an up-to-date discussion of the virtues and flaws of different methods and to present practical guidelines for the sentinel node (SN) investigation in gynecologic cancers.
Implementation of accurate and fast DNA cytometry
Lennert S. Ploeger,André Huisman,Dionne M. van der Giezen,Abdelhadi Y. Abbaker,William E. Grizzle,Neal Poulin,Gerrit A. Meijer,Paul J. van Diest +7 more
TL;DR: The described methodology allows obtaining a largely unbiased sample of nuclei in thick tissue sections using 3-D DNA cytometry by confocal laser scanning microscopy within an acceptable time frame for pilot clinical applications, and with a CV small enough to resolve small near diploid stemlines.