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M

M. R. Vriens

Researcher at University Medical Center Utrecht

Publications -  28
Citations -  424

M. R. Vriens is an academic researcher from University Medical Center Utrecht. The author has contributed to research in topics: Nipple discharge & Ductoscopy. The author has an hindex of 7, co-authored 25 publications receiving 267 citations.

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Journal ArticleDOI

Multiple endocrine neoplasia type 1 (MEN1): its manifestations and effect of genetic screening on clinical outcome.

TL;DR: Expression of MEN1 is described using currently available diagnostic techniques and Manifestations and outcome are compared in patients diagnosed because of clinical expression with those diagnosed by genetic screening.
Journal Article

Unintentional weight loss is the most important indicator of malnutrition among surgical cancer patients.

TL;DR: The findings highlight the importance of routine screening of malnutrition in oncology patients and warn medical personnel that unintentional weight loss is an important predictor of malnutrition risks even if the patient’s BMI is not suggestive of malnutrition.
Journal ArticleDOI

Care for patients with multiple endocrine neoplasia type 1: the current evidence base.

TL;DR: Differences in epidemiology and pathology between MEN1-related tumours and their sporadic counterparts show that a unique approach is needed, and the care for MEN1 patients should be provided by a centre of expertise.
Journal ArticleDOI

68 Ga-PSMA PET/CT in Radioactive Iodine-Refractory Differentiated Thyroid Cancer and First Treatment Results With 177 Lu-PSMA-617

TL;DR: 68Ga-PSMA PET/CT appears to have added value in patients with RAI-refractory DTC, as it is able to detect various types of lesions, some of which were not picked up by 18FDGPET/CT.
Journal ArticleDOI

Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial

F. Jasmijn Smits, +89 more
- 01 Apr 2022 - 
TL;DR: The algorithm for the early recognition and minimally invasive management of complications after pancreatic resection considerably improved clinical outcomes compared with usual care.