Mark J. Stoutjesdijk

ORCID: 0000-0003-0628-8028
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About
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Research Areas
  • MRI in cancer diagnosis
  • BRCA gene mutations in cancer
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced MRI Techniques and Applications
  • Genomic variations and chromosomal abnormalities
  • AI in cancer detection
  • Advanced Neuroimaging Techniques and Applications
  • Medical Image Segmentation Techniques
  • Cancer survivorship and care
  • Global Cancer Incidence and Screening
  • Central Venous Catheters and Hemodialysis
  • Breast Cancer Treatment Studies
  • Vascular anomalies and interventions
  • Image Retrieval and Classification Techniques
  • Congenital Heart Disease Studies
  • Cancer Genomics and Diagnostics
  • Breast Lesions and Carcinomas

Ikazia Ziekenhuis
2007-2022

Radboud University Nijmegen
1999-2008

Radboud University Medical Center
2001-2008

A major challenge in value-based health care is the lack of standardized outcomes measurements, hindering optimal monitoring and comparison quality across different settings globally. The International Consortium for Health Outcomes Measurement (ICHOM) assembled a multidisciplinary international working group, comprised 26 providers patient advocates, to develop standard set patient-centered breast cancer (BC). group convened via 8 teleconferences completed follow-up survey after each...

10.1001/jamaoncol.2016.4851 article EN JAMA Oncology 2016-12-29

Although breast cancer screening is recommended to start at a younger age for women with hereditary risk of cancer, the sensitivity mammography these reduced. We compared magnetic resonance imaging (MRI) determine which more sensitive and whether MRI could play role in early detection women.We constructed retrospective cohort all surveillance reports made our department from November 1994 February 2001. All 179 had received biannual palpation addition annual by MRI, mammography, or both. The...

10.1093/jnci/93.14.1095 article EN JNCI Journal of the National Cancer Institute 2001-07-18

The objective of this study was to evaluate the interobserver variability in reporting descriptive kinetic and morphologic enhancement features at breast magnetic resonance imaging.Four observers evaluated 103 lesions, 49 malignant 54 benign, proven by histopathology. They used standardized terminology with following characteristics: "early kinetics" "late curves from both reader-determined preset regions interest (ROIs), "enhancement pattern," "shape," "margin," "internal enhancement," a...

10.1097/01.rli.0000163741.16718.3e article EN Investigative Radiology 2005-05-19

The value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in characterizing breast lesions on magnetic resonance (MRI) was evaluated. Sixty-eight malignant and 34 benign were included. In the scanning protocol, high temporal resolution combined with spatial imaging. images recorded every 4.1 s (fast analysis). at a 86 (slow evaluation (K(trans), V(e) k(ep)) slow analysis, each lesion scored according to BI-RADS classification. Two readers evaluated...

10.1007/s00330-008-0870-8 article EN cc-by-nc European Radiology 2008-02-12

To evaluate a new method for automated determination of region interest (ROI) the analysis contrast enhancement in breast MRI.Mean shift multidimensional clustering (MS-MDC) was employed to divide 92 lesions into several spatially contiguous clusters each, based on multiple parameters. The ROIs were defined as with highest probability malignancy. performance within these estimated using area under receiver operator characteristic curve (AUC), and compared against radiologist's final...

10.1002/jmri.21026 article EN Journal of Magnetic Resonance Imaging 2007-08-29

10.1016/s1064-9689(21)00080-5 article EN Magnetic Resonance Imaging Clinics of North America 2001-05-01

Abstract Purpose: To evaluate automatic characterization of a breast MR lesion by its spatially coherent region interest (ROI). Materials and Methods: The method delineated 247 enhancing lesions using Otsu thresholding after manually placing sphere. Mean Shift Clustering subdivided each volume, based on features including pharmacokinetic parameters. An iteratively trained classifier to predict the most suspicious ROI (IsR) was used, malignancy likelihood lesion. Performance evaluated...

10.1002/jmri.23746 article EN Journal of Magnetic Resonance Imaging 2012-07-11

In recent years, deformable models have become popular in the field of medical image analysis. We applied a member this family, discrete dynamic contour model, to task mass segmentation digital mammograms. The method was compared recently published region growing on dataset 214 Both methods need starting point. first experiment, for each center gravity annotation used. second pixel-based initial detection step used generate points. latter points are often located less proper good...

10.1117/12.348651 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 1999-05-21

Congenital heart diseases rarely have a primary manifestation in adulthood. They are rare cause of pulmonary hypertension adults.A 70-year-old woman Eurasian descent underwent emergency surgery for bowel ischemia. Her history mild likely correlates with peculiar diagnosis an anatomic anomaly on the postoperative x-ray and computed tomography scan. The central venous catheter was misplaced. Initial management consisted removal catheter. diagnosis, partial anomalous return, may pose clinical...

10.1186/s13256-022-03467-8 article EN cc-by Journal of Medical Case Reports 2022-06-21
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